The Potential of Cold Plasma for Safe and Sustainable Food Production.

PubMed

Bourke, Paula; Ziuzina, Dana; Boehm, Daniela; Cullen, Patrick J; Keener, Kevin

2018-06-01

Cold plasma science and technology is increasingly investigated for translation to a plethora of issues in the agriculture and food sectors. The diversity of the mechanisms of action of cold plasma, and the flexibility as a standalone technology or one that can integrate with other technologies, provide a rich resource for driving innovative solutions. The emerging understanding of the longer-term role of cold plasma reactive species and follow-on effects across a range of systems will suggest how cold plasma may be optimally applied to biological systems in the agricultural and food sectors. Here we present the current status, emerging issues, regulatory context, and opportunities of cold plasma with respect to the broad stages of primary and secondary food production. Copyright © 2017 Elsevier Ltd. All rights reserved.

Falls From Agricultural Machinery: Risk Factors Related to Work Experience, Worked Hours, and Operators' Behavior.

PubMed

Caffaro, Federica; Roccato, Michele; Micheletti Cremasco, Margherita; Cavallo, Eugenio

2018-02-01

Objective We investigated the risk factors for falls when egressing from agricultural tractors, analyzing the role played by worked hours, work experience, operators' behavior, and near misses. Background Many accidents occur within the agricultural sector each year. Among them, falls while dismounting the tractor represent a major source of injuries. Previous studies pointed out frequent hazardous movements and incorrect behaviors adopted by operators to exit the tractor cab. However, less is known about the determinants of such behaviors. In addition, near misses are known to be important predictors of accidents, but they have been under-investigated in the agricultural sector in general and as concerns falls in particular. Method A questionnaire assessing dismounting behaviors, previous accidents and near misses, and participants' relation with work was administered to a sample of Italian tractor operators ( n = 286). Results A mediated model showed that worked hours increase unsafe behaviors, whereas work experience decreases them. Unsafe behaviors in turn show a positive association with accidents, via the mediation of near misses. Conclusions We gave a novel contribution to the knowledge of the chain of events leading to fall accidents in the agricultural sector, which is one of the most hazardous industries. Applications Besides tractor design improvements, preventive training interventions may focus on the redesign of the actual working strategies and the adoption of engaging training methods in the use of machinery to optimize the learning of safety practices and safe behaviors.

Drought disaster vulnerability mapping of agricultural sector in Bringin District, Semarang Regency

NASA Astrophysics Data System (ADS)

Lestari, D. R.; Pigawati, B.

2018-02-01

Agriculture sector is a sector that is directly affected by drought. The phenomenon of drought disaster on agriculture sector has occurred in Semarang regency. One of districts in Semarang which is affected by drought is Bringin district. Bringin district is a productive agricultural area. However, the district experienced the most severe drought in 2015. The question research of this study is, “How is the spatial distribution of drought vulnerability on agriculture sector in Bringin district, Semarang regency?” The purpose of this study is to determine the spatial distribution of drought vulnerability on agriculture sector to village units in Bringin district. This study investigated drought vulnerability based on Intergovernmental Panel on Climate Change (IPCC) by analyzing exposure, sensitivity, and adaptive capacity through mapping process. This study used quantitative approach. There were formulation analysis, scoring analysis, and overlay analysis. Drought vulnerability on agriculture sector in Bringin district was divided into three categories: low, medium, and high.

Who Talks to Whom in Malawi's Agricultural Research Information Network?

ERIC Educational Resources Information Center

Mapila, Mariam A. T. J.; Yauney, Jason; Thangata, Paul; Droppelmann, Klaus; Mazunda, John

2016-01-01

Purpose: The sector-wide approach currently dominates as the strategy for developing the agricultural sector of many African countries. Although recognised that collaborative agricultural research is vital in ensuring success of sector-wide agricultural development strategies; there have been few efforts to understand the dynamics of national…

Impacts of incorporating land exchanges between forestry and agriculture in sector models.

Treesearch

Ralph J. Alig; Darius M. Adams; Bruce A. McCarl

1998-01-01

The forest and agriculture sectors are linked by having a portion of their land bases suitable for use in either sector. A substantial part of the southern land base is suitable for either forestry or agriculture use, with most of forestation on U.S. agriculture land in the South. We examine how land exchanges between forestry and agriculture are influenced by specific...

Damages of surface ozone: evidence from agricultural sector in China

NASA Astrophysics Data System (ADS)

Yi, Fujin; McCarl, Bruce A.; Zhou, Xun; Jiang, Fei

2018-03-01

This study measures the damages that surface ozone pollution causes within the Chinese agricultural sector under 2014 conditions. It also analyzes the agricultural benefits of ozone reductions. The analysis is done using a partial equilibrium model of China’s agricultural sector. Results indicate that there are substantial, spatially differentiated damages that are greatest in ozone-sensitive crop growing areas with higher ozone concentrations. The estimated damage to China’s agricultural sector range is between CNY 1.6 trillion and 2.2 trillion, which for comparison is about one fifth of 2014 agricultural revenue. When considering concentration reduction we find a 30% ozone reduction yields CNY 678 billion in sectoral benefits. These benefits largely fall to consumers with producers losing as the production gains lead to lower prices.

Interval Optimization Model Considering Terrestrial Ecological Impacts for Water Rights Transfer from Agriculture to Industry in Ningxia, China.

PubMed

Sun, Lian; Li, Chunhui; Cai, Yanpeng; Wang, Xuan

2017-06-14

In this study, an interval optimization model is developed to maximize the benefits of a water rights transfer system that comprises industry and agriculture sectors in the Ningxia Hui Autonomous Region in China. The model is subjected to a number of constraints including water saving potential from agriculture and ecological groundwater levels. Ecological groundwater levels serve as performance indicators of terrestrial ecology. The interval method is applied to present the uncertainty of parameters in the model. Two scenarios regarding dual industrial development targets (planned and unplanned ones) are used to investigate the difference in potential benefits of water rights transfer. Runoff of the Yellow River as the source of water rights fluctuates significantly in different years. Thus, compensation fees for agriculture are calculated to reflect the influence of differences in the runoff. Results show that there are more available water rights to transfer for industrial development. The benefits are considerable but unbalanced between buyers and sellers. The government should establish a water market that is freer and promote the interest of agriculture and farmers. Though there has been some success of water rights transfer, the ecological impacts and the relationship between sellers and buyers require additional studies.

Time series GHG emission estimates for residential, commercial, agriculture and fisheries sectors in India

NASA Astrophysics Data System (ADS)

Mohan, Riya Rachel

2018-04-01

Green House Gas (GHG) emissions are the major cause of global warming and climate change. Carbon dioxide (CO2) is the main GHG emitted through human activities, at the household level, by burning fuels for cooking and lighting. As per the 2006 methodology of the Inter-governmental Panel on Climate Change (IPCC), the energy sector is divided into various sectors like electricity generation, transport, fugitive, 'other' sectors, etc. The 'other' sectors under energy include residential, commercial, agriculture and fisheries. Time series GHG emission estimates were prepared for the residential, commercial, agriculture and fisheries sectors in India, for the time period 2005 to 2014, to understand the historical emission changes in 'other' sector. Sectoral activity data, with respect to fuel consumption, were collected from various ministry reports like Indian Petroleum and Natural Gas Statistics, Energy Statistics, etc. The default emission factor(s) from IPCC 2006 were used to calculate the emissions for each activity and sector-wise CO2, CH4, N2O and CO2e emissions were compiled. It was observed that the residential sector generates the highest GHG emissions, followed by the agriculture/fisheries and commercial sector. In the residential sector, LPG, kerosene, and fuelwood are the major contributors of emissions, whereas diesel is the main contributor to the commercial, agriculture and fisheries sectors. CO2e emissions have been observed to rise at a cumulative annual growth rate of 0.6%, 9.11%, 7.94% and 5.26% for the residential, commercial, agriculture and fisheries sectors, respectively. In addition to the above, a comparative study of the sectoral inventories from the national inventories, published by Ministry of Environment, Forest and Climate Change, for 2007 and 2010 was also performed.

Economic base determination and influence of several variables against contributions percentage of the GDRP in Aceh Besar district

NASA Astrophysics Data System (ADS)

Andayani, Keumala; Miftahuddin

2018-05-01

The percentage contribution of Gross Regional Domestic Product (GRDP) in Aceh Besar district is influenced by several leading sectors, such as agriculture, building sector, trade, hotel and restaurant sector, transport and communications, financial sector, leasing and business services, and services sector. Based on the use of Location Quotient (LQ) method and multiple regression model, the effect of labor variables and population to Gross Regional Domestic Product by 2000 constant prices for agriculture and trade. For each addition of one workforce in the trading sector, the trade sector contribution will increase by 0.000014157%. Thus, the trade sector contribution will increase by 0.0000013786% in every addition of one soul of the population. Whereas, for every addition of one human resource in the agricultural sector will be reduced by 0.0002%. In other words, for each addition of one soul of the population will reduce the contribution of the agricultural sector by 0.00008611%.

Implications of climate change damage for agriculture: sectoral evidence from Pakistan.

PubMed

Ahmed, Adeel; Devadason, Evelyn S; Al-Amin, Abul Quasem

2016-10-01

This paper gives a projection of the possible damage of climate change on the agriculture sector of Pakistan for the period 2012-2037, based on a dynamic approach, using an environment-related applied computable general equilibrium model (CGE). Climate damage projections depict an upward trend for the period of review and are found to be higher than the global average. Further, the damage to the agricultural sector exceeds that for the overall economy. By sector, climatic damage disproportionately affects the major and minor crops, livestock and fisheries. The largest losses following climate change, relative to the other agricultural sectors, are expected for livestock. The reason for this is the orthodox system of production for livestock, with a low adaptability to negative shocks of climate change. Overall, the findings reveal the high exposure of the agriculture sector to climate damage. In this regard, policymakers in Pakistan should take seriously the effects of climate change on agriculture and consider suitable technology to mitigate those damages.

Developing Curriculum Markers for Agricultural Extension Education in South Africa

ERIC Educational Resources Information Center

Worth, S. H.

2008-01-01

Sufficient changes have occurred in both the agricultural and educational sectors of South Africa to warrant a careful scrutiny of the agricultural education offerings in South Africa. Agricultural extension is identified as an important part of the intended transformation of the agricultural sector. Further, agricultural extension is essentially…

Private Sector Investment in Pakistani Agriculture: The Role of Infrastructural Investment

DTIC Science & Technology

1999-01-01

private sector will be expected to play the major role in providing capital to the agricultural sector, with the government’s remaining involvement being largely one of furnishing basic infrastructure. The critical question of course is how willing is the private sector to commit capital to agricultural activities in this new policy environment? Has the private sector responded in the past to the increases in profitability provided by an expansion in infrastructure? If so, what types of infrastructure are most conducive in

Agricultural Water Use under Global Change

NASA Astrophysics Data System (ADS)

Zhu, T.; Ringler, C.; Rosegrant, M. W.

2008-12-01

Irrigation is by far the single largest user of water in the world and is projected to remain so in the foreseeable future. Globally, irrigated agricultural land comprises less than twenty percent of total cropland but produces about forty percent of the world's food. Increasing world population will require more food and this will lead to more irrigation in many areas. As demands increase and water becomes an increasingly scarce resource, agriculture's competition for water with other economic sectors will be intensified. This water picture is expected to become even more complex as climate change will impose substantial impacts on water availability and demand, in particular for agriculture. To better understand future water demand and supply under global change, including changes in demographic, economic and technological dimensions, the water simulation module of IMPACT, a global water and food projection model developed at the International Food Policy Research Institute, is used to analyze future water demand and supply in agricultural and several non-agricultural sectors using downscaled GCM scenarios, based on water availability simulation done with a recently developed semi-distributed global hydrological model. Risk analysis is conducted to identify countries and regions where future water supply reliability for irrigation is low, and food security may be threatened in the presence of climate change. Gridded shadow values of irrigation water are derived for global cropland based on an optimization framework, and they are used to illustrate potential irrigation development by incorporating gridded water availability and existing global map of irrigation areas.

Agriculture Sectors

EPA Pesticide Factsheets

The Agriculture sectors comprise establishments primarily engaged in growing crops, raising animals, and harvesting fish and other animals. Find information on compliance, enforcement and guidance on EPA laws and regulations on the NAICS 111 & 112 sectors.

75 FR 48992 - Baseline Safety and Health Practices; Office of Management and Budget's (OMB) Approval of...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-08-12

... health practices of private sector establishments in agriculture (with 10 or more workers) and non-agriculture industries, as well as public sector establishments in those states with OSHA-approved safety and... agriculture sector to assess the prevalence of safety and health practices among farms with more than 10...

78 FR 37397 - Small Business Size Standards: Agriculture, Forestry, Fishing and Hunting

Federal Register 2010, 2011, 2012, 2013, 2014

2013-06-20

... Small Business Size Standards: Agriculture, Forestry, Fishing and Hunting AGENCY: U.S. Small Business... (NAICS) Sector 11, Agriculture, Forestry, Fishing and Hunting, and retaining the current standards for...-industries (``exceptions'') in NAICS Sector 11, Agriculture, Forestry, Fishing and Hunting, to determine...

Water footprint characteristic of less developed water-rich regions: Case of Yunnan, China.

PubMed

Qian, Yiying; Dong, Huijuan; Geng, Yong; Zhong, Shaozhuo; Tian, Xu; Yu, Yanhong; Chen, Yihui; Moss, Dana Avery

2018-03-30

Rapid industrialization and urbanization pose pressure on water resources in China. Virtual water trade proves to be an increasingly useful tool in water stress alleviation for water-scarce regions, while bringing opportunities and challenges for less developed water-rich regions. In this study, Yunnan, a typical province in southwest China, was selected as the case study area to explore its potential in socio-economic development in the context of water sustainability. Both input-output analysis and structural decomposition analysis on Yunnan's water footprint for the period of 2002-2012 were performed at not only an aggregated level but also a sectoral level. Results show that although the virtual water content of all economic sectors decreased due to technological progress, Yunnan's total water footprint still increased as a result of economic scale expansion. From the sectoral perspective, sectors with large water footprints include construction sector, agriculture sector, food manufacturing & processing sector, and service sector, while metal products sector and food manufacturing & processing sector were the major virtual water exporters, and textile & clothing sector and construction sector were the major importers. Based on local conditions, policy suggestions were proposed, including economic structure and efficiency optimization, technology promotion and appropriate virtual water trade scheme. This study provides valuable insights for regions facing "resource curse" by exploring potential socio-economic progress while ensuring water security. Copyright © 2018 Elsevier Ltd. All rights reserved.

Modeling technical change in climate analysis: evidence from agricultural crop damages.

PubMed

Ahmed, Adeel; Devadason, Evelyn S; Al-Amin, Abul Quasem

2017-05-01

This study accounts for the Hicks neutral technical change in a calibrated model of climate analysis, to identify the optimum level of technical change for addressing climate changes. It demonstrates the reduction to crop damages, the costs to technical change, and the net gains for the adoption of technical change for a climate-sensitive Pakistan economy. The calibrated model assesses the net gains of technical change for the overall economy and at the agriculture-specific level. The study finds that the gains of technical change are overwhelmingly higher than the costs across the agriculture subsectors. The gains and costs following technical change differ substantially for different crops. More importantly, the study finds a cost-effective optimal level of technical change that potentially reduces crop damages to a minimum possible level. The study therefore contends that the climate policy for Pakistan should consider the role of technical change in addressing climate impacts on the agriculture sector.

Future Water Management in the South Platte River Basin: Impacts of Hydraulic Fracturing, Population, Agriculture, and Climate Change in a Semi-Arid Region.

NASA Astrophysics Data System (ADS)

Walker, E. L.; Hogue, T. S.; Anderson, A. M.; Read, L.

2015-12-01

In semi-arid basins across the world, the gap between water supply and demand is growing due to climate change, population growth, and shifts in agriculture and unconventional energy development. Water conservation efforts among residential and industrial water users, recycling and reuse techniques and innovative regulatory frameworks for water management strive to mitigate this gap, however, the extent of these strategies are often difficult to quantify and not included in modeling water allocations. Decision support systems (DSS) are purposeful for supporting water managers in making informed decisions when competing demands create the need to optimize water allocation between sectors. One region of particular interest is the semi-arid region of the South Platte River basin in northeastern Colorado, where anthropogenic and climatic effects are expected to increase the gap between water supply and demand in the near future. Specifically, water use in the South Platte is impacted by several high-intensity activities, including unconventional energy development, i.e. hydraulic fracturing, and large withdrawals for agriculture; these demands are in addition to a projected population increase of 100% by 2050. The current work describes the development of a DSS for the South Platte River basin, using the Water Evaluation and Planning system software (WEAP) to explore scenarios of how variation in future water use in the energy, agriculture, and municipal sectors will impact water allocation decisions. Detailed data collected on oil and gas water use in the Niobrara shale play will be utilized to predict future sector use. We also employ downscaled climate projections for the region to quantify the potential range of water availability in the basin under each scenario, and observe whether or not, and to what extent, climate may impact management decisions at the basin level.

Competences in demand within the Spanish agricultural engineering sector

NASA Astrophysics Data System (ADS)

Perdigones, Alicia; Valera, Diego Luis; Moreda, Guillermo Pedro; García, Jose Luis

2014-09-01

The Rural Engineering Department (Technical University of Madrid) ran three competence surveys during the 2006-2007 and 2007-2008 academic years and evaluated: (1) the competences gained by agricultural engineer's degree and agricultural technical engineer's degree students (360 respondents); (2) the competences demanded by agricultural employers (50 farming sector employers); (3) competences required by farming sector professionals and former students (70 professionals). The surveys show significant differences between what competences agricultural employers require of graduates and the competences they acquire during their agricultural engineering degree courses. Recruiters are looking for generic competences such as the ability to coordinate groups and place less importance on knowledge of engineering, biology, applied economics and legislation. Of the computer-related competences, those most in demand by sector professionals were related to the use of Microsoft Office/Excel (used by 79% of professionals). Surveys were used to redesign some subjects of the degrees.

Soybean development: the impact of a decade of agricultural change on urban and economic growth in Mato Grosso, Brazil.

PubMed

Richards, Peter; Pellegrina, Heitor; VanWey, Leah; Spera, Stephanie

2014-01-01

In this research we consider the impact of export-driven, soybean agriculture in Mato Grosso on regional economic growth. Here we argue that the soybean sector has served as a motor to the state's economy by increasing the demand for services, housing, and goods, and by providing a source of investment capital to the non-agricultural sector. Specifically, we show that each square kilometer of soybean production supports 2.5 formal sector jobs outside of agriculture, and the equivalent of approximately 150,000US in annual, non-agricultural GDP. We also show that annual gains in non-agricultural employment and GDP are closely tied to soybean profitability, and thus vary from year to year. However, while this article highlights the potential of the agricultural sector as a driver of regional economic growth, it also acknowledges that this growth has been sustained by profits determined by externally set prices and the rate of exchange, and that future growth trajectories will be susceptible to potential currency of market shocks. We also show that while Mato Grosso's economic growth has come at a significant cost to the environment, value added by the agriculture sector, directly and indirectly, has surpassed the value of the CO2-e emitted through land clearings.

Soybean Development: The Impact of a Decade of Agricultural Change on Urban and Economic Growth in Mato Grosso, Brazil

PubMed Central

Richards, Peter; Pellegrina, Heitor; VanWey, Leah; Spera, Stephanie

2015-01-01

In this research we consider the impact of export-driven, soybean agriculture in Mato Grosso on regional economic growth. Here we argue that the soybean sector has served as a motor to the state’s economy by increasing the demand for services, housing, and goods, and by providing a source of investment capital to the non-agricultural sector. Specifically, we show that each square kilometer of soybean production supports 2.5 formal sector jobs outside of agriculture, and the equivalent of approximately 150,000US in annual, non-agricultural GDP. We also show that annual gains in non-agricultural employment and GDP are closely tied to soybean profitability, and thus vary from year to year. However, while this article highlights the potential of the agricultural sector as a driver of regional economic growth, it also acknowledges that this growth has been sustained by profits determined by externally set prices and the rate of exchange, and that future growth trajectories will be susceptible to potential currency of market shocks. We also show that while Mato Grosso’s economic growth has come at a significant cost to the environment, value added by the agriculture sector, directly and indirectly, has surpassed the value of the CO2-e emitted through land clearings. PMID:25919305

Agricultural Intensification as a Mechanism of Adaptation to Climate Change Impacts

NASA Astrophysics Data System (ADS)

Kyle, P.; Calvin, K. V.; le Page, Y.; Patel, P.; West, T. O.; Wise, M. A.

2015-12-01

The research, policy, and NGO communities have devoted significant attention to the potential for agricultural intensification, or closure of "yield gaps," to alleviate future global hunger, poverty, climate change impacts, and other threats. However, because the research to this point has focused on biophysically attainable yields—assuming optimal choices under ideal conditions—the presently available work has not yet addressed the likely responses of the agricultural sector to real-world conditions in the future. This study investigates endogenous agricultural intensification in response to global climate change impacts—that is, intensification independent of policies or other exogenous interventions to promote yield gap closure. The framework for the analysis is a set of scenarios to 2100 in the GCAM global integrated assessment model, enhanced to include endogenous irrigation, fertilizer application, and yields, in each of 283 land use regions, with maximum yields based on the 95th percentile of attainable yields in a recent global assessment. We assess three levels of agricultural climate impacts, using recent global gridded crop model datasets: none, low (LPJmL), and high (Pegasus). Applying formulations for decomposition of climate change impacts response developed in prior AgMIP work, we find that at the global level, availability of high-yielding technologies mitigates price shocks and shifts the agricultural sector's climate response modestly towards intensification, away from cropland expansion and reduced production. At the regional level, the behavior is more complex; nevertheless, availability of high-yielding production technologies enhances the inter-regional shifts in agricultural production that are induced by climate change, complemented by commensurate changes in trade patterns. The results highlight the importance of policies to facilitate yield gap closure and inter-regional trade as mechanisms for adapting to climate change

Bridging the Divide: Challenges and Opportunities for Public Sector Agricultural Professionals Working with Amish and Mennonite Producers on Conservation.

PubMed

Brock, Caroline; Ulrich-Schad, Jessica D; Prokopy, Linda

2018-05-01

As Amish and Old Order and Conservative Mennonite (i.e., Plain) farmers increase their presence in the agricultural sector, it is crucial for public sector agricultural professionals to effectively work with them to mediate nonpoint source pollution and address issues like the hypoxic zone in the Gulf of Mexico. However, there is a dearth of research on how public sector agricultural professionals can better work with Plain producers on environmental management. There are also few training resources for those working with this key, yet hard to reach, population. Additionally, due to their religious doctrines, Plain communities strive to live apart from the "world" and may be discouraged from working with government entities and attending non-Plain people events. This study analyzes interview data from 23 Amish farmers in one region of Indiana and 18 public sector agricultural professionals from a variety of backgrounds and geographies in areas of the U.S. with heavy Plain populations. Public sector agricultural professionals identified some key agronomic challenges on Plain farms related to issues like poor pasture and manure management as well as socio-cultural challenges such as restrictions on electronic and phone communication. Educators should design outreach strategies that take into consideration that faith convictions and conservation concerns may vary greatly based on the specificities of the particular Plain church group. By better understanding this population and how to work with them, public sector agricultural professionals can more effectively work towards addressing environmental problems with this under-served group.

Agriculture and the Property Tax: A Forward Look Based on a Historical Perspective. Agricultural Economic Report No. 392.

ERIC Educational Resources Information Center

Stam, Jerome M.; Sibold, Ann G.

Assessing the property tax in terms of agriculture, this report analyzes the following in an historical sense in order to draw implications for the future: (1) the importance of the property tax to the agricultural sector; (2) the horizontal equity of the property tax for the agricultural and nonagricultural sectors in terms of income and wealth;…

Water resources planning in a strategic context: Linking the water sector to the national economy

NASA Astrophysics Data System (ADS)

Rogers, Peter; Hurst, Christopher; Harshadeep, Nagaraja

1993-07-01

In many parts of the developing world investment in water resources takes a large proportion of the available public investment funds. As the conflicts for funds between the water and other sectors become more severe, the traditional ways of analyzing and planning water investments has to move away from project-by-project (or even a river basin-by-river basin) approaches to include the relationships of water investments to other sectors and to overall national development policies. Current approaches to water resources investments are too narrow. There is a need for ways to expand the strategic thinking of water sector managers. This paper develops a water resources planning methodology with the primary objective of giving insights into the linking of water sector investments and macroeconomic policies. The model optimizes the present value of investments for water resources development, while embedding a macroeconomic model into the framework to allow for an examination of the interactions between water investments, the growth in the agricultural sector, and the performance of the overall economy. A case study of Bangladesh is presented which shows how strategic thinking could lead to widely differing implications for water investments than would conventional water resources systems planning models.

Recent developments in nanotechnology transforming the agricultural sector: a transition replete with opportunities.

PubMed

Kim, Dae-Young; Kadam, Avinash; Shinde, Surendra; Saratale, Rijuta Ganesh; Patra, Jayanta; Ghodake, Gajanan

2018-02-01

The applications and benefits of nanotechnology in the agricultural sector have attracted considerable attention, particularly in the invention of unique nanopesticides and nanofertilisers. The contemporary developments in nanotechnology are acknowledged and the most significant opportunities awaiting the agriculture sector from the recent scientific and technical literature are addressed. This review discusses the significance of recent trends in nanomaterial-based sensors available for the sustainable management of agricultural soil, as well as the role of nanotechnology in detection and protection against plant pathogens, and for food quality and safety. Novel nanosensors have been reported for primary applications in improving crop practices, food quality, and packaging methods, thus will change the agricultural sector for potentially better and healthier food products. Nanotechnology is well-known to play a significant role in the effective management of phytopathogens, nutrient utilisation, controlled release of pesticides, and fertilisers. Research and scientific gaps to be overcome and fundamental questions have been addressed to fuel active development and application of nanotechnology. Together, nanoscience, nanoengineering, and nanotechnology offer a plethora of opportunities, proving a viable alternative in the agriculture and food processing sector, by providing a novel and advanced solutions. © 2017 Society of Chemical Industry. © 2017 Society of Chemical Industry.

Agriculture and Provincial Reconstruction Teams: Assessing the Effectiveness of Agricultural Advisor Projects in Afghanistan

DTIC Science & Technology

2010-06-11

employment in nonfarm sectors of the economy. Thus, agricultural development can contribute to the education of a rural population and assist the movement...categorized according to the ANDS objectives. In the ANDS, the four expected outcomes of the Agriculture and Rural Development Sector Strategy are: (1...States (U.S.) government, the U.S. Army, and the international community have identified rural and agricultural development as key components of long

The Role of Agriculture in the Economic Development of West Virginia: An Input-Output Analysis. Miscellaneous Publication No. 20.

ERIC Educational Resources Information Center

D'Souza, Gerard E.; And Others

This study deals with the structural interrelationships among agricultural sub-sectors, and between the agricultural and non-agricultural sectors of the West Virginia economy. The study is intended to offer information on which to base sound economic development decisions. An input-output economic model is used in order to focus on the interaction…

Delivery of agricultural technology to resource-poor farmers in Africa.

PubMed

Mignouna, Hodeba D; Abang, Mathew M; Omanya, Gospel; Nang'ayo, Francis; Bokanga, Mpoko; Boadi, Richard; Muchiri, Nancy; Terry, Eugene

2008-01-01

Recent developments in agricultural science and technology have the potential to transform the agricultural sector in the developing world. These technological advances constitute key drivers of economic growth and hold great promise for poverty reduction in sub-Saharan Africa (SSA). Agricultural research and development in Africa is undergoing a major paradigm shift. Until recently, public-sector institutions in Africa worked in isolation to create and disseminate agricultural technologies to smallholder farmers. However, they need access to improved proprietary technologies developed for the most part by the private sector in developed countries. These technologies are currently concentrated in the hands of a few large corporations and are protected by intellectual property rights. The African Agricultural Technology Foundation (AATF) is a new initiative addressing the challenges associated with the access, development, and deployment of agricultural technologies to smallholder farmers in SSA. This article describes the AATF model of facilitating the creation of partnership alliances dedicated to promote and support collaboration among a wide variety of public- and private-sector organizations around shared agricultural research and development goals for the public good. It explains AATF's public-private partnership framework for technology delivery in the light of market failures, institutional constraints, and systemic weaknesses, which impede public-sector organizations from accessing and delivering pro-poor knowledge and technology to farmers. The article provides policy makers, research managers, and business decision makers with an understanding of how access to, and delivery of, proprietary technologies could contribute to food security and the improvement of farmers' livelihoods in Africa.

Monitoring of In-Field Variability for Site Specific Crop Management Through Open Geospatial Information

NASA Astrophysics Data System (ADS)

Řezník, T.; Lukas, V.; Charvát, K.; Charvát, K., Jr.; Horáková, Š.; Křivánek, Z.; Herman, L.

2016-06-01

The agricultural sector is in a unique position due to its strategic importance around the world. It is crucial for both citizens (consumers) and the economy (both regional and global), which, ideally, should ensure that the whole sector is a network of interacting organisations. It is important to develop new tools, management methods, and applications to improve the management and logistic operations of agricultural producers (farms) and agricultural service providers. From a geospatial perspective, this involves identifying cost optimization pathways, reducing transport, reducing environmental loads, and improving the energy balance, while maintaining production levels, etc. This paper describes the benefits of, and open issues arising from, the development of the Open Farm Management Information System. Emphasis is placed on descriptions of available remote sensing and other geospatial data, and their harmonization, processing, and presentation to users. At the same time, the FOODIE platform also offers a novel approach of yield potential estimations. Validation for one farm demonstrated 70% successful rate when comparing yield results at a farm counting 1'284 hectares on one hand and results of a theoretical model of yield potential on the other hand. The presented Open Farm Management Information System has already been successfully registered under Phase 8 of the Global Earth Observation System of Systems (GEOSS) Architecture Implementation Pilot in order to support the wide variety of demands that are primarily aimed at agriculture and water pollution monitoring by means of remote sensing.

Managing hydroclimatological risk to water supply with option contracts and reservoir index insurance

NASA Astrophysics Data System (ADS)

Brown, Casey; Carriquiry, Miguel

2007-11-01

This paper explores the performance of a system of economic instruments designed to facilitate the reduction of hydroclimatologic variability-induced impacts on stakeholders of shared water supply. The system is composed of bulk water option contracts between urban water suppliers and agricultural users and insurance indexed on reservoir inflows. The insurance is designed to cover the financial needs of the water supplier in situations where the option is likely to be exercised. Insurance provides the irregularly needed funds for exercising the water options. The combined option contract - reservoir index insurance system creates risk sharing between sectors that is currently lacking in many shared water situations. Contracts are designed for a shared agriculture - urban water system in Metro Manila, Philippines, using optimization and Monte Carlo analysis. Observed reservoir inflows are used to simulate contract performance. Results indicate the option - insurance design effectively smooths water supply costs of hydrologic variability for both agriculture and urban water.

Searching for solutions to mitigate greenhouse gas emissions by agricultural policy decisions--Application of system dynamics modeling for the case of Latvia.

PubMed

Dace, Elina; Muizniece, Indra; Blumberga, Andra; Kaczala, Fabio

2015-09-15

European Union (EU) Member States have agreed to limit their greenhouse gas (GHG) emissions from sectors not covered by the EU Emissions Trading Scheme (non-ETS). That includes also emissions from agricultural sector. Although the Intergovernmental Panel on Climate Change (IPCC) has established a methodology for assessment of GHG emissions from agriculture, the forecasting options are limited, especially when policies and their interaction with the agricultural system are tested. Therefore, an advanced tool, a system dynamics model, was developed that enables assessment of effects various decisions and measures have on agricultural GHG emissions. The model is based on the IPCC guidelines and includes the main elements of an agricultural system, i.e. land management, livestock farming, soil fertilization and crop production, as well as feedback mechanisms between the elements. The case of Latvia is selected for simulations, as agriculture generates 22% of the total anthropogenic GHG emissions in the country. The results demonstrate that there are very limited options for GHG mitigation in the agricultural sector. Thereby, reaching the non-ETS GHG emission targets will be very challenging for Latvia, as the level of agricultural GHG emissions will be exceeded considerably above the target levels. Thus, other non-ETS sectors will have to reduce their emissions drastically to "neutralize" the agricultural sector's emissions for reaching the EU's common ambition to move towards low-carbon economy. The developed model may serve as a decision support tool for impact assessment of various measures and decisions on the agricultural system's GHG emissions. Although the model is applied to the case of Latvia, the elements and structure of the model developed are similar to agricultural systems in many countries. By changing numeric values of certain parameters, the model can be applied to analyze decisions and measures in other countries. Copyright © 2015 Elsevier B.V. All rights reserved.

Entrepreneurship Education and Training Needs of Family Businesses Operating in the Agricultural Sector of India

ERIC Educational Resources Information Center

Sandhu, Navjot; Hussain, Javed; Matlay, Harry

2012-01-01

Purpose: The purpose of this paper is to investigate the entrepreneurship education and training (EET) needs of small family businesses operating in the agricultural sector of the Indian economy. Design/methodology/approach: Quantitative and qualitative data were collected through a survey of 122 agricultural family firms in the Indian state of…

75 FR 11512 - Consultative Group to Eliminate the Use of Child Labor and Forced Labor in Imported Agricultural...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-11

... include three members from the agriculture-related private sector; two members from institutions of higher... the 2008 Farm Bill. The Act provides for the creation of the Consultative Group. DATES: March 18, 2010... the global supply chains within the agricultural sector or other industries; (b) The roles and...

Modeling Water Resource Systems Accounting for Water-Related Energy Use, GHG Emissions and Water-Dependent Energy Generation in California

NASA Astrophysics Data System (ADS)

Escriva-Bou, A.; Lund, J. R.; Pulido-Velazquez, M.; Medellin-Azuara, J.

2015-12-01

Most individual processes relating water and energy interdependence have been assessed in many different ways over the last decade. It is time to step up and include the results of these studies in management by proportionating a tool for integrating these processes in decision-making to effectively understand the tradeoffs between water and energy from management options and scenarios. A simple but powerful decision support system (DSS) for water management is described that includes water-related energy use and GHG emissions not solely from the water operations, but also from final water end uses, including demands from cities, agriculture, environment and the energy sector. Because one of the main drivers of energy use and GHG emissions is water pumping from aquifers, the DSS combines a surface water management model with a simple groundwater model, accounting for their interrelationships. The model also explicitly includes economic data to optimize water use across sectors during shortages and calculate return flows from different uses. Capabilities of the DSS are demonstrated on a case study over California's intertied water system. Results show that urban end uses account for most GHG emissions of the entire water cycle, but large water conveyance produces significant peaks over the summer season. Also the development of more efficient water application on the agricultural sector has increased the total energy consumption and the net water use in the basins.

Role of Sectoral Transformation in the Evolution of Water Management Norms in Agricultural Catchments: A Sociohydrologic Modeling Analysis

NASA Astrophysics Data System (ADS)

Roobavannan, M.; Kandasamy, J.; Pande, S.; Vigneswaran, S.; Sivapalan, M.

2017-10-01

This study is focused on the water-agriculture-environment nexus as it played out in the Murrumbidgee River Basin, eastern Australia, and how coevolution of society and water management actually transpired. Over 100 years of agricultural development the Murrumbidgee Basin experienced a "pendulum swing" in terms of water allocation, initially exclusively for agriculture production changing over to reallocation back to the environment. In this paper, we hypothesize that in the competition for water between economic livelihood and environmental wellbeing, economic diversification was the key to swinging community sentiment in favor of environmental protection, and triggering policy action that resulted in more water allocation to the environment. To test this hypothesis, we developed a sociohydrology model to link the dynamics of the whole economy (both agriculture and industry composed of manufacturing and services) to the community's sensitivity toward the environment. Changing community sensitivity influenced how water was allocated and governed and how the agricultural sector grew relative to the industrial sector (composed of manufacturing and services sectors). In this way, we show that economic diversification played a key role in influencing the community's values and preferences with respect to the environment and economic growth. Without diversification, model simulations show that the community would not have been sufficiently sensitive and willing enough to act to restore the environment, highlighting the key role of sectoral transformation in achieving the goal of sustainable agricultural development.

Economic Drought Impact on Agriculture: analysis of all agricultural sectors affected

NASA Astrophysics Data System (ADS)

Gil, M.; Garrido, A.; Hernández-Mora, N.

2012-04-01

The analysis of drought impacts is essential to define efficient and sustainable management and mitigation. In this paper we present a detailed analysis of the impacts of the 2004-2008 drought in the agricultural sector in the Ebro river basin (Spain). An econometric model is applied in order to determine the magnitude of the economic loss attributable to water scarcity. Both the direct impacts of drought on agricultural productivity and the indirect impacts of drought on agricultural employment and agroindustry in the Ebro basin are evaluated. The econometric model measures losses in the economic value of irrigated and rainfed agricultural production, of agricultural employment and of Gross Value Added both from the agricultural sector and the agro-industrial sector. The explanatory variables include an index of water availability (reservoir storage levels for irrigated agriculture and accumulated rainfall for rainfed agriculture), a price index representative of the mix of crops grown in each region, and a time variable. The model allows for differentiating the impacts due to water scarcity from other sources of economic losses. Results show how the impacts diminish as we approach the macro-economic indicators from those directly dependent on water abstractions and precipitation. Sectors directly dependent on water are the most affected with identifiable economic losses resulting from the lack of water. From the management perspective implications of these findings are key to develop mitigation measures to reduce drought risk exposure. These results suggest that more open agricultural markets, and wider and more flexible procurement strategies of the agro-industry reduces the socio-economic exposure to drought cycles. This paper presents the results of research conducted under PREEMPT project (Policy relevant assessment of the socioeconomic effects of droughts and floods, ECHO - grant agreement # 070401/2010/579119/SUB/C4), which constitutes an effort to provide a comprehensive assessment of the socioeconomic impacts of the 2004-2008 drought in the Ebro river basin

Optimal allocation of physical water resources integrated with virtual water trade in water scarce regions: A case study for Beijing, China.

PubMed

Ye, Quanliang; Li, Yi; Zhuo, La; Zhang, Wenlong; Xiong, Wei; Wang, Chao; Wang, Peifang

2018-02-01

This study provides an innovative application of virtual water trade in the traditional allocation of physical water resources in water scarce regions. A multi-objective optimization model was developed to optimize the allocation of physical water and virtual water resources to different water users in Beijing, China, considering the trade-offs between economic benefit and environmental impacts of water consumption. Surface water, groundwater, transferred water and reclaimed water constituted the physical resource of water supply side, while virtual water flow associated with the trade of five major crops (barley, corn, rice, soy and wheat) and three livestock products (beef, pork and poultry) in agricultural sector (calculated by the trade quantities of products and their virtual water contents). Urban (daily activities and public facilities), industry, environment and agriculture (products growing) were considered in water demand side. As for the traditional allocation of physical water resources, the results showed that agriculture and urban were the two predominant water users (accounting 54% and 28%, respectively), while groundwater and surface water satisfied around 70% water demands of different users (accounting 36% and 34%, respectively). When considered the virtual water trade of eight agricultural products in water allocation procedure, the proportion of agricultural consumption decreased to 45% in total water demand, while the groundwater consumption decreased to 24% in total water supply. Virtual water trade overturned the traditional components of water supplied from different sources for agricultural consumption, and became the largest water source in Beijing. Additionally, it was also found that environmental demand took a similar percentage of water consumption in each water source. Reclaimed water was the main water source for industrial and environmental users. The results suggest that physical water resources would mainly satisfy the consumption of urban and environment, and the unbalance between water supply and demand could be filled by virtual water import in water scarce regions. Copyright © 2017 Elsevier Ltd. All rights reserved.

Spatially complex land change: The Indirect effect of Brazil's agricultural sector on land use in Amazonia

PubMed Central

Richards, Peter D.; Walker, Robert T.; Arima, Eugenio Y.

2014-01-01

Soybean farming has brought economic development to parts of South America, as well as environmental hopes and concerns. A substantial hope resides in the decoupling of Brazil's agricultural sector from deforestation in the Amazon region, in which case expansive agriculture need not imply forest degradation. However, concerns have also been voiced about the potential indirect effects of agriculture. This article addresses these indirect effects forthe case of the Brazilian Amazon since 2002. Our work finds that as much as thirty-two percent of deforestation, or the loss of more than 30,000 km2 of Amazon forest, is attributable, indirectly, to Brazil's soybean sector. However, we also observe that the magnitude of the indirect impact of the agriculture sector on forest loss in the Amazon has declined markedly since 2006. We also find a shift in the underlying causes of indirect land use change in the Amazon, and suggest that land appreciation in agricultural regions has supplanted farm expansions as a source of indirect land use change. Our results are broadly congruent with recent work recognizing the success of policy changes in mitigating the impact of soybean expansion on forest loss in the Amazon. However, they also caution that the soybean sector may continue to incentivize land clearings through its impact on regional land markets. PMID:25492993

[Nutrition or industry. Experiences with nutritional considerations in the agricultural policy].

PubMed

Botten, G

1991-06-30

The need to export health considerations to various sector policies is regarded as important in health promotion. Health is generally a highly appreciated benefit; thus many sectors seek to use health as an argument for their policy. This article describes the relation between nutrition and agricultural policy in Norway. In areas where nutrition and agriculture had mutual interests, health considerations were easily exported. However, when interests diverged the issue became more complicated. Much effort was focused upon achieving correct use of nutritional arguments. Before negotiating and weighing respective viewpoints it is essential to clarify each sector's standpoint and interest. Conflicts and negotiations are linked to strategies which seek explicitly to integrate health premisses into sectors outside the health services itself.

Optimising The Available Scarce Water Resources At European Scale In A Modelling Environment: Results And Challenges

NASA Astrophysics Data System (ADS)

de Roo, Ad; Burek, Peter; Gentile, Alessandro; Udias, Angel; Bouraoui, Faycal

2013-04-01

As a next step to European drought monitoring and forecasting, which is covered in the European Drought Observatory (EDO) activity of JRC, a modeling environment has been developed to assess optimum measures to match water availability and water demand, while keeping ecological, water quality and flood risk aspects also into account. A multi-modelling environment has been developed to assess combinations of water retention measures, water savings measures, and nutrient reduction measures for continental Europe. These simulations have been carried out to assess the effects of those measures on several hydro-chemical indicators, such as the Water Exploitation Index, Environmental Flow indicators, low-flow frequency, N and P concentrations in rivers, the 50-year return period river discharge as an indicator for flooding, and economic losses due to water scarcity for the agricultural sector, the industrial sector, and the public sector. Also, potential flood damage of a 100-year return period flood has been used as an indicator. This modeling environment consists of linking the agricultural CAPRI model, the land use LUMP model, the water quantity LISFLOOD model, the water quality EPIC model, the combined water quantity/quality and hydro-economic LISQUAL model and a multi-criteria optimization routine. A python interface platform (IMO) has been built to link the different models. The work was carried out in the framework of a new European Commission policy document "Blueprint to Safeguard Europe's Water Resources", COM(2012)673), launched in November 2012. Simulations have been carried out to assess the effects of water retention measures, water savings measures, and nutrient reduction measures on several hydro-chemical indicators, such as the Water Exploitation Index, Environmental Flow indicators, N and P concentrations in rivers, the 50-year return period river discharge as an indicator for flooding, and economic losses due to water scarcity for the agricultural sector, the manufacturing-industry sector, the energy-production sector and the domestic sector. Also, potential flood damage of a 100-year return period flood has been used as an indicator. The study has shown that technically this modelling software environment can deliver optimum scenario combinations of packages of measures that improve various water quantity and water quality indicators, but that additional work is needed before final conclusions can be made using the tool. Further work is necessary, especially in the economic loss estimations, the water prices and price-elasticity, as well as the implementation and maintenance costs of individual scenarios. First results and challenges will be presented and discussed.

Development of a coupled model of a distributed hydrological model and a rice growth model for optimizing irrigation schedule

NASA Astrophysics Data System (ADS)

Tsujimoto, Kumiko; Homma, Koki; Koike, Toshio; Ohta, Tetsu

2013-04-01

A coupled model of a distributed hydrological model and a rice growth model was developed in this study. The distributed hydrological model used in this study is the Water and Energy Budget-based Distributed Hydrological Model (WEB-DHM) developed by Wang et al. (2009). This model includes a modified SiB2 (Simple Biosphere Model, Sellers et al., 1996) and the Geomorphology-Based Hydrological Model (GBHM) and thus it can physically calculate both water and energy fluxes. The rice growth model used in this study is the Simulation Model for Rice-Weather relations (SIMRIW) - rainfed developed by Homma et al. (2009). This is an updated version of the original SIMRIW (Horie et al., 1987) and can calculate rice growth by considering the yield reduction due to water stress. The purpose of the coupling is the integration of hydrology and crop science to develop a tool to support decision making 1) for determining the necessary agricultural water resources and 2) for allocating limited water resources to various sectors. The efficient water use and optimal water allocation in the agricultural sector are necessary to balance supply and demand of limited water resources. In addition, variations in available soil moisture are the main reasons of variations in rice yield. In our model, soil moisture and the Leaf Area Index (LAI) are calculated inside SIMRIW-rainfed so that these variables can be simulated dynamically and more precisely based on the rice than the more general calculations is the original WEB-DHM. At the same time by coupling SIMRIW-rainfed with WEB-DHM, lateral flow of soil water, increases in soil moisture and reduction of river discharge due to the irrigation, and its effects on the rice growth can be calculated. Agricultural information such as planting date, rice cultivar, fertilization amount are given in a fully distributed manner. The coupled model was validated using LAI and soil moisture in a small basin in western Cambodia (Sangker River Basin). This basin is mostly rainfed paddy so that irrigation scheme was firstly switched off. Several simulations with varying irrigation scheme were performed to determine the optimal irrigation schedule in this basin.

Optimal Draft requirement for vibratory tillage equipment using Genetic Algorithm Technique

NASA Astrophysics Data System (ADS)

Rao, Gowripathi; Chaudhary, Himanshu; Singh, Prem

2018-03-01

Agriculture is an important sector of Indian economy. Primary and secondary tillage operations are required for any land preparation process. Conventionally different tractor-drawn implements such as mouldboard plough, disc plough, subsoiler, cultivator and disc harrow, etc. are used for primary and secondary manipulations of soils. Among them, oscillatory tillage equipment is one such type which uses vibratory motion for tillage purpose. Several investigators have reported that the requirement for draft consumption in primary tillage implements is more as compared to oscillating one because they are always in contact with soil. Therefore in this paper, an attempt is made to find out the optimal parameters from the experimental data available in the literature to obtain minimum draft consumption through genetic algorithm technique.

Cost-effectiveness analysis of policy instruments for greenhouse gas emission mitigation in the agricultural sector.

PubMed

Bakam, Innocent; Balana, Bedru Babulo; Matthews, Robin

2012-12-15

Market-based policy instruments to reduce greenhouse gas (GHG) emissions are generally considered more appropriate than command and control tools. However, the omission of transaction costs from policy evaluations and decision-making processes may result in inefficiency in public resource allocation and sub-optimal policy choices and outcomes. This paper aims to assess the relative cost-effectiveness of market-based GHG mitigation policy instruments in the agricultural sector by incorporating transaction costs. Assuming that farmers' responses to mitigation policies are economically rationale, an individual-based model is developed to study the relative performances of an emission tax, a nitrogen fertilizer tax, and a carbon trading scheme using farm data from the Scottish farm account survey (FAS) and emissions and transaction cost data from literature metadata survey. Model simulations show that none of the three schemes could be considered the most cost effective in all circumstances. The cost effectiveness depends both on the tax rate and the amount of free permits allocated to farmers. However, the emissions trading scheme appears to outperform both other policies in realistic scenarios. Copyright © 2012 Elsevier Ltd. All rights reserved.

Conversion of Agricultural Streams and Food-Processing By-Products to Value-Added Compounds Using Filamentous Fungi.

PubMed

Chan, Lauryn G; Cohen, Joshua L; de Moura Bell, Juliana Maria Leite Nobrega

2018-03-25

The design of new food products and increased agricultural activities have produced a diversity of waste streams or by-products that contain a high load of organic matter. The underutilization of these streams presents a serious threat to the environment and to the financial viability of the agricultural sector and the food industry. Oleaginous microorganisms, such as yeast and microalgae, have been used to convert the organic matter present in many agricultural waste streams into an oil-rich biomass. Filamentous fungi are promising oleaginous microorganisms because of their high lipid accumulation potential and simple biomass recovery, the latter being related to their pellet-like growth morphology in submerged cultivation. This review highlights the use of oleaginous filamentous fungi to convert food by-products into value-added components, including the effect of cultivation conditions on biomass yield and composition. Special attention is given to downstream processing for the commercial production of fungal oil. Also discussed are innovative techniques to optimize the biomass oil yield and to minimize the challenges associated with biomass harvesting and oil extraction at industrial scale.

Pesticide Health and Safety Challenges Facing Informal Sector Workers: A Case of Small-scale Agricultural Workers in Tanzania.

PubMed

Ngowi, Aiwerasia; Mrema, Ezra; Kishinhi, Stephen

2016-08-01

The Tanzania informal sector is growing fast, with precarious working conditions and particular hazards for women and children in agriculture. Hazardous agricultural chemicals including pesticides are mostly imported and have been used for many years. Despite the role played by pesticides in food security and vector control, these chemicals are responsible for acute and chronic illnesses among communities. The availability of obsolete persistent organic pesticides on the open market indicates existence of an inadequate regulatory system. People who get injured or ill in the agriculture sector in Tanzania receive health services in primary health care facilities where professionals have little or no knowledge of pesticides. We are presenting the pesticide health and safety challenges faced by small-scale farmers who fall in the informal sector. Achievements that have been made by the government and other players to reduce and prevent pesticide exposures and poisoning are also outlined. © The Author(s) 2016.

Environmental sub models for a macroeconomic model: agricultural contribution to climate change and acidification in Denmark.

PubMed

Jensen, Trine S; Jensen, Jørgen D; Hasler, Berit; Illerup, Jytte B; Andersen, Frits M

2007-01-01

Integrated modelling of the interaction between environmental pressure and economic development is a useful tool to evaluate environmental consequences of policy initiatives. However, the usefulness of such models is often restricted by the fact that these models only include a limited set of environmental impacts, which are often energy-related emissions. In order to evaluate the development in the overall environmental pressure correctly, these model systems must be extended. In this article an integrated macroeconomic model system of the Danish economy with environmental modules of energy related emissions is extended to include the agricultural contribution to climate change and acidification. Next to the energy sector, the agricultural sector is the most important contributor to these environmental themes and subsequently the extended model complex calculates more than 99% of the contribution to both climate change and acidification. Environmental sub-models are developed for agriculture-related emissions of CH(4), N(2)O and NH(3). Agricultural emission sources related to the production specific activity variables are mapped and emission dependent parameters are identified in order to calculate emission coefficients. The emission coefficients are linked to the economic activity variables of the Danish agricultural production. The model system is demonstrated by projections of agriculture-related emissions in Denmark under two alternative sets of assumptions: a baseline projection of the general economic development and a policy scenario for changes in the husbandry sector within the agricultural sector.

Germany wide seasonal flood risk analysis for agricultural crops

NASA Astrophysics Data System (ADS)

Klaus, Stefan; Kreibich, Heidi; Kuhlmann, Bernd; Merz, Bruno; Schröter, Kai

2016-04-01

In recent years, large-scale flood risk analysis and mapping has gained attention. Regional to national risk assessments are needed, for example, for national risk policy developments, for large-scale disaster management planning and in the (re-)insurance industry. Despite increasing requests for comprehensive risk assessments some sectors have not received much scientific attention, one of these is the agricultural sector. In contrast to other sectors, agricultural crop losses depend strongly on the season. Also flood probability shows seasonal variation. Thus, the temporal superposition of high flood susceptibility of crops and high flood probability plays an important role for agricultural flood risk. To investigate this interrelation and provide a large-scale overview of agricultural flood risk in Germany, an agricultural crop loss model is used for crop susceptibility analyses and Germany wide seasonal flood-frequency analyses are undertaken to derive seasonal flood patterns. As a result, a Germany wide map of agricultural flood risk is shown as well as the crop type most at risk in a specific region. The risk maps may provide guidance for federal state-wide coordinated designation of retention areas.

Agricultural growth, the status of women, and fertility.

PubMed

Whittington, L A; Stapleton, D C

1995-08-01

This study tests the hypothesis that fertility is affected differently by economic growth depending upon the specific sector (agriculture, manufacturing, heavy industry, and services) where growth occurred. The hypothesis is that fertility responses are not identical across sectors. The sample includes 51 World Bank member countries in varying stages of development. The econometric model pertains to 1965-88 and the percentage change in the total fertility rate (TFR). During the study period the average TFR declined by over 22%, but the extent of change varied by country and included, for instance, countries such as Ethiopia that experienced fertility increases from 5.8 to 6.5. Hong Kong's TFR declined by 66% from 4.7 to 1.6. Analysis included measures of changes in gross domestic product (GDP) for each of the four sectors and change in real per capita exports in agricultural commodities, resources, and manufactured products. Changes in educational status and changes in infant mortality were also included in some models. There were mixed results for the impact of total GDP. Sectoral analysis shows a positive, small significant impact on TFR from changes in the GDP per capita in agriculture (domestic and export products), and a negative, small significant impact from manufacturing growth. Heavy industry and services produced insignificant impact. In the model with only domestic consumption, results show a stronger coefficient and continued significance for agricultural productivity, agricultural exports, and manufacturing changes per capita. Manufacturing exports produced a negative, insignificant impact. The null hypothesis is rejected only in models comparing aggregate GDP in agriculture and manufacturing industries plus control variables (excluding heavy industry and services). Only secondary education was a negative, significant determinant of fertility. Infant mortality was insignificant when sectoral growth and education were included in the model. The evidence supports the thesis that growth depending on the sector leads to fertility decline, and economic growth has a negative effect on fertility if employment opportunities for women are improved.

Comparing Diverse Southeast Asian Reactions to the Trans-Pacific Partnership (TPP)

DTIC Science & Technology

2017-09-01

The ambitious TPP comes with its own set of challenges. Especially in the agricultural sector and in the area of intellectual property, domestic...favor of high-quality comprehensive FTAs, save for stalled negotiations in provisions on the agricultural sector due to the domestic political...strength and influence of the Ministry of Agriculture , Forestry and Fisheries.16 Capling and Ravenhill note that although the United States succeeded in

Industrial College of the Armed Forces Industry Studies 2003: Biotechnology

DTIC Science & Technology

2003-01-01

modern life. This critical sector of United States industry is developing products that will improve health care, agriculture , industrial processes...vaccines, antibiotics, drug therapies, and new medical devices. Agricultural advances include crops engineered to be pest resistant, to survive...pharmaceutical and agriculture sectors of the U.S. economy. As we enter the “Era of the Biomolecule,” the United States must implement policies and allocate

Regulatory Information By Sector

EPA Pesticide Factsheets

Find environmental regulatory, compliance, & enforcement information for various business, industry and government sectors, listed by NAICS code. Sectors include agriculture, automotive, petroleum manufacturing, oil & gas extraction & other manufacturing

FOODIE: Farm-Oriented Open Data in Europe

NASA Astrophysics Data System (ADS)

Ángel Esbri Palomares, Miguel; Charvat, Karel; Campos, Antonio Manuel; Palma, Raúl

2014-05-01

The agriculture sector is a unique sector due to its strategic importance for both European citizens (consumers) and European economy (regional and global) which, ideally, should make the whole sector a network of interacting organizations. Rural areas are of particular importance with respect to the agro-food sector and should be specifically addressed within this scope. The different groups of stakeholders involved in the agricultural activities have to manage many different and heterogeneous sources of information that need to be combined in order to make economically and environmentally sound decisions, which include (among others) the definition of policies (subsidies, standardisation and regulation, national strategies for rural development, climate change), valuation of ecological performances, development of sustainable agriculture, crop recollection timing and pricing, plagues detection, etc. Such processes are very labour intensive because most parts have to be executed manually and the necessary information is not always available or easily accessible. In this context, future agriculture knowledge management systems have to support not only direct profitability of agriculture or environment protection, but also activities of individuals and groups allowing effective collaboration among groups in agri-food industry, consumers, public administrations and wider stakeholders communities, especially in rural domain. To that end FOODIE project aims at building an open and interoperable agricultural specialized platform hub on the cloud for the management of spatial and non-spatial data relevant for farming production; for discovery of spatial and non-spatial agriculture related data from heterogeneous sources; integration of existing and valuable European open datasets related to agriculture; data publication and data linking of external agriculture data sources contributed by different public and private stakeholders allowing to provide specific and high-value applications and services for the support in the planning and decision-making processes of different stakeholders groups related to the agricultural and environmental domains.

Climate, Agriculture, Energy and the Optimal Allocation of Global Land Use

NASA Astrophysics Data System (ADS)

Steinbuks, J.; Hertel, T. W.

2011-12-01

The allocation of the world's land resources over the course of the next century has become a pressing research question. Continuing population increases, improving, land-intensive diets amongst the poorest populations in the world, increasing production of biofuels and rapid urbanization in developing countries are all competing for land even as the world looks to land resources to supply more environmental services. The latter include biodiversity and natural lands, as well as forests and grasslands devoted to carbon sequestration. And all of this is taking place in the context of faster than expected climate change which is altering the biophysical environment for land-related activities. The goal of the paper is to determine the optimal profile for global land use in the context of growing commercial demands for food and forest products, increasing non-market demands for ecosystem services, and more stringent GHG mitigation targets. We then seek to assess how the uncertainty associated with the underlying biophysical and economic processes influences this optimal profile of land use, in light of potential irreversibility in these decisions. We develop a dynamic long-run, forward-looking partial equilibrium framework in which the societal objective function being maximized places value on food production, liquid fuels (including biofuels), timber production, forest carbon and biodiversity. Given the importance of land-based emissions to any GHG mitigation strategy, as well as the potential impacts of climate change itself on the productivity of land in agriculture, forestry and ecosystem services, we aim to identify the optimal allocation of the world's land resources, over the course of the next century, in the face of alternative GHG constraints. The forestry sector is characterized by multiple forest vintages which add considerable computational complexity in the context of this dynamic analysis. In order to solve this model efficiently, we have employed the Purdue University parallel processing computing cluster. The model is solved over the period 2000 - 2100. Our 100 year baseline accurately reflects developments in global land use over the 10 years that have already transpired, while also incorporating projections of population, income and demand growth from a variety of international agencies. We also consider three counterfactual scenarios (higher growth in energy prices, lower growth in agricultural productivity, and global GHG emissions regulations). Our model baseline predicts that, in absence of market imperfections, growth in cropland/deforestation that account for a large share of land-use GHG emission, declines significantly in the medium run. However, energy prices and policies have a significant effect on agricultural land use. Sensitivity to energy prices is compounded by vulnerability of agriculture to adverse productivity shocks from climate. In a 'perfect storm' of high growth in energy prices and declining agricultural productivity growth, additional demand for cropland leads to significant deforestation and higher GHG emissions. As a result, large welfare losses occur. When we also expect the sector to deliver increased ecosystem services as well as land-based GHG abatement, the pressure on land and water resources can be very significant.

Optimizing desalinated sea water blending with other sources to meet magnesium requirements for potable and irrigation waters.

PubMed

Avni, Noa; Eben-Chaime, Moshe; Oron, Gideon

2013-05-01

Sea water desalination provides fresh water that typically lacks minerals essential to human health and to agricultural productivity. Thus the rising proportion of desalinated sea water consumed by both the domestic and agricultural sectors constitutes a public health risk. Research on low-magnesium water irrigation showed that crops developed magnesium deficiency symptoms that could lead to plant death, and tomato yields were reduced by 10-15%. The World Health Organization (WHO) reported on a relationship between sudden cardiac death rates and magnesium intake deficits. An optimization model, developed and tested to provide recommendations for Water Distribution System (WDS) quality control in terms of meeting optimal water quality requirements, was run in computational experiments based on an actual regional WDS. The expected magnesium deficit due to the operation of a large Sea Water Desalination Plant (SWDP) was simulated, and an optimal operation policy, in which remineralization at the SWDP was combined with blending desalinated and natural water to achieve the required quality, was generated. The effects of remineralization costs and WDS physical layout on the optimal policy were examined by sensitivity analysis. As part of the sensitivity blending natural and desalinated water near the treatment plants will be feasible up to 16.2 US cents/m(3), considering all expenses. Additional chemical injection was used to meet quality criteria when blending was not feasible. Crown Copyright © 2013. Published by Elsevier Ltd. All rights reserved.

Sector-wise midpoint characterization factors for impact assessment of regional consumptive and degradative water use.

PubMed

Lin, Chia-Chun; Lin, Jia-Yu; Lee, Mengshan; Chiueh, Pei-Te

2017-12-31

Water availability, resulting from either a lack of water or poor water quality is a key factor contributing to regional water stress. This study proposes a set of sector-wise characterization factors (CFs), namely consumptive and degradative water stresses, to assess the impact of water withdrawals with a life cycle assessment approach. These CFs consider water availability, water quality, and competition for water between domestic, agricultural and industrial sectors and ecosystem at the watershed level. CFs were applied to a case study of regional water management of industrial water withdrawals in Taiwan to show that both regional or seasonal decrease in water availability contributes to a high consumptive water stress, whereas water scarcity due to degraded water quality not meeting sector standards has little influence on increased degradative water stress. Degradative water stress was observed more in the agricultural sector than in the industrial sector, which implies that the agriculture sector may have water quality concerns. Reducing water intensity and alleviating regional scale water stresses of watersheds are suggested as approaches to decrease the impact of both consumptive and degradative water use. The results from this study may enable a more detailed sector-wise analysis of water stress and influence water resource management policies. Copyright © 2017 Elsevier B.V. All rights reserved.

Managing the Public Sector Research and Development Portfolio Selection Process: A Case Study of Quantitative Selection and Optimization

DTIC Science & Technology

2016-09-01

PUBLIC SECTOR RESEARCH & DEVELOPMENT PORTFOLIO SELECTION PROCESS: A CASE STUDY OF QUANTITATIVE SELECTION AND OPTIMIZATION by Jason A. Schwartz...PUBLIC SECTOR RESEARCH & DEVELOPMENT PORTFOLIO SELECTION PROCESS: A CASE STUDY OF QUANTITATIVE SELECTION AND OPTIMIZATION 5. FUNDING NUMBERS 6...describing how public sector organizations can implement a research and development (R&D) portfolio optimization strategy to maximize the cost

Development and application of a mechanistic model to estimate emission of nitrous oxide from UK agriculture

NASA Astrophysics Data System (ADS)

Brown, L.; Syed, B.; Jarvis, S. C.; Sneath, R. W.; Phillips, V. R.; Goulding, K. W. T.; Li, C.

A mechanistic model of N 2O emission from agricultural soil (DeNitrification-DeComposition—DNDC) was modified for application to the UK, and was used as the basis of an inventory of N 2O emission from UK agriculture in 1990. UK-specific input data were added to DNDC's database and the ability to simulate daily C and N inputs from grazing animals and applied animal waste was added to the model. The UK version of the model, UK-DNDC, simulated emissions from 18 different crop types on the 3 areally dominant soils in each county. Validation of the model at the field scale showed that predictions matched observations well. Emission factors for the inventory were calculated from estimates of N 2O emission from UK-DNDC, in order to maintain direct comparability with the IPCC approach. These, along with activity data, were included in a transparent spreadsheet format. Using UK-DNDC, the estimate of N 2O-N emission from UK current agricultural practice in 1990 was 50.9 Gg. This total comprised 31.7 Gg from the soil sector, 5.9 Gg from animals and 13.2 Gg from the indirect sector. The range of this estimate (using the range of soil organic C for each soil used) was 30.5-62.5 Gg N. Estimates of emissions in each sector were compared to those calculated using the IPCC default methodology. Emissions from the soil and indirect sectors were smaller with the UK-DNDC approach than with the IPCC methodology, while emissions from the animal sector were larger. The model runs suggested a relatively large emission from agricultural land that was not attributable to current agricultural practices (33.8 Gg in total, 27.4 Gg from the soil sector). This 'background' component is partly the result of historical agricultural land use. It is not normally included in inventories of emission, but would increase the total emission of N 2O-N from agricultural land in 1990 to 78.3 Gg.

Adaptation to Interannual and Interdecadal Climate Variability in Agricultural Production Systems of the Argentine Pampas

NASA Astrophysics Data System (ADS)

Podestá, G. P.; Bert, F.; Weber, E.; Laciana, C.; Rajagopalan, B.; Letson, D.

2007-05-01

Agricultural ecosystems play a central role in world food production and food security, and involve one of the most climate-sensitive sectors of society-agriculture. We focus on crop production in the Argentine Pampas, one of the world's major agricultural regions. Climate of the Pampas shows marked variability at both interannual and decadal time scales. We explored the scope for adaptive management in response to climate information on interannual scales. We show that different assumptions about what decision makers are trying to achieve (i.e., their objective functions) may change what actions are considered as "optimal" for a given climate context. Optimal actions also were used to estimate the economic value of forecasts of an ENSO phase. Decision constraints (e.g., crop rotations) have critical influence on value of the forecasting system. Gaps in knowledge or misconceptions about climate variability were identified in open-ended "mental model" interviews. Results were used to design educational interventions. A marked increase in precipitation since the 1970s, together with new production technologies, led to major changes in land use patterns in the Pampas. Continuous cropping has widely replaced agriculture-pasture rotations. Nevertheless, production systems that evolved partly in response to increased rainfall may not be viable if climate reverts to a drier epoch. We use historical data to define a range of plausible climate trajectories 20-30 years hence. Regional scenarios are downscaled using semi-parametric weather generators to produce multiple realizations of daily weather consistent with decadal scenarios. Finally, we use the synthetic climate, crop growth models, and realistic models of decision-making under risk to compute risk metrics (e.g., probability of yields or profits being below a threshold). Climatically optimal and marginal locations show differential responses: probabilities of negative economic results are much higher in currently marginal areas if precipitations decrease.

Ergonomics Perspective in Agricultural Research: A User-Centred Approach Using CAD and Digital Human Modeling (DHM) Technologies

NASA Astrophysics Data System (ADS)

Patel, Thaneswer; Sanjog, J.; Karmakar, Sougata

2016-09-01

Computer-aided Design (CAD) and Digital Human Modeling (DHM) (specialized CAD software for virtual human representation) technologies endow unique opportunities to incorporate human factors pro-actively in design development. Challenges of enhancing agricultural productivity through improvement of agricultural tools/machineries and better human-machine compatibility can be ensured by adoption of these modern technologies. Objectives of present work are to provide the detailed scenario of CAD and DHM applications in agricultural sector; and finding out means for wide adoption of these technologies for design and development of cost-effective, user-friendly, efficient and safe agricultural tools/equipment and operator's workplace. Extensive literature review has been conducted for systematic segregation and representation of available information towards drawing inferences. Although applications of various CAD software have momentum in agricultural research particularly for design and manufacturing of agricultural equipment/machinery, use of DHM is still at its infancy in this sector. Current review discusses about reasons of less adoption of these technologies in agricultural sector and steps to be taken for their wide adoption. It also suggests possible future research directions to come up with better ergonomic design strategies for improvement of agricultural equipment/machines and workstations through application of CAD and DHM.

Process heat in California: Applications and potential for solar energy in the industrial, agricultural and commercial sectors

NASA Technical Reports Server (NTRS)

Barbieri, R. H.; Bartera, R. E.; Davis, E. S.; Hlavka, G. E.; Pivirotto, D. S.; Yanow, G.

1978-01-01

A summary of the results of a survey of potential applications of solar energy for supplying process heat requirements in the industrial, agricultural, and commercial sectors of California is presented. Technical, economic, and institutional characteristics of the three sectors are examined. Specific applications for solar energy are then discussed. Finally, implications for California energy policy are discussed along with recommendations for possible actions by the State of California.

Sector-specific issues and reporting methodologies supporting the General Guidelines for the voluntary reporting of greenhouse gases under Section 1605(b) of the Energy Policy Act of 1992. Volume 2: Part 4, Transportation sector; Part 5, Forestry sector; Part 6, Agricultural sector

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

This volume, the second of two such volumes, contains sector-specific guidance in support of the General Guidelines for the voluntary reporting of greenhouse gas emissions and carbon sequestration. This voluntary reporting program was authorized by Congress in Section 1605(b) of the Energy Policy Act of 1992. The General Guidelines, bound separately from this volume, provide the overall rationale for the program, discuss in general how to analyze emissions and emission reduction/carbon sequestration projects, and address programmatic issues such as minimum reporting requirements, time parameters, international projects, confidentiality, and certification. Together, the General Guidelines and the guidance in these supporting documentsmore » will provide concepts and approaches needed to prepare the reporting forms. This second volume of sector-specific guidance covers the transportation sector, the forestry sector, and the agricultural sector.« less

Evaluating the effects of climate change on US agricultural systems: sensitivity to regional impact and trade expansion scenarios

NASA Astrophysics Data System (ADS)

Baker, Justin S.; Havlík, Petr; Beach, Robert; Leclère, David; Schmid, Erwin; Valin, Hugo; Cole, Jefferson; Creason, Jared; Ohrel, Sara; McFarland, James

2018-06-01

Agriculture is one of the sectors that is expected to be most significantly impacted by climate change. There has been considerable interest in assessing these impacts and many recent studies investigating agricultural impacts for individual countries and regions using an array of models. However, the great majority of existing studies explore impacts on a country or region of interest without explicitly accounting for impacts on the rest of the world. This approach can bias the results of impact assessments for agriculture given the importance of global trade in this sector. Due to potential impacts on relative competitiveness, international trade, global supply, and prices, the net impacts of climate change on the agricultural sector in each region depend not only on productivity impacts within that region, but on how climate change impacts agricultural productivity throughout the world. In this study, we apply a global model of agriculture and forestry to evaluate climate change impacts on US agriculture with and without accounting for climate change impacts in the rest of the world. In addition, we examine scenarios where trade is expanded to explore the implications for regional allocation of production, trade volumes, and prices. To our knowledge, this is one of the only attempts to explicitly quantify the relative importance of accounting for global climate change when conducting regional assessments of climate change impacts. The results of our analyses reveal substantial differences in estimated impacts on the US agricultural sector when accounting for global impacts vs. US-only impacts, particularly for commodities where the United States has a smaller share of global production. In addition, we find that freer trade can play an important role in helping to buffer regional productivity shocks.

7 CFR 652.23 - Certification process for private-sector entities.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 6 2010-01-01 2010-01-01 false Certification process for private-sector entities. 652... ASSISTANCE Certification § 652.23 Certification process for private-sector entities. (a) A private sector... individual basis as part of the private-sector entity's certification and ensures that the requirements set...

Artificial intelligent techniques for optimizing water allocation in a reservoir watershed

NASA Astrophysics Data System (ADS)

Chang, Fi-John; Chang, Li-Chiu; Wang, Yu-Chung

2014-05-01

This study proposes a systematical water allocation scheme that integrates system analysis with artificial intelligence techniques for reservoir operation in consideration of the great uncertainty upon hydrometeorology for mitigating droughts impacts on public and irrigation sectors. The AI techniques mainly include a genetic algorithm and adaptive-network based fuzzy inference system (ANFIS). We first derive evaluation diagrams through systematic interactive evaluations on long-term hydrological data to provide a clear simulation perspective of all possible drought conditions tagged with their corresponding water shortages; then search the optimal reservoir operating histogram using genetic algorithm (GA) based on given demands and hydrological conditions that can be recognized as the optimal base of input-output training patterns for modelling; and finally build a suitable water allocation scheme through constructing an adaptive neuro-fuzzy inference system (ANFIS) model with a learning of the mechanism between designed inputs (water discount rates and hydrological conditions) and outputs (two scenarios: simulated and optimized water deficiency levels). The effectiveness of the proposed approach is tested on the operation of the Shihmen Reservoir in northern Taiwan for the first paddy crop in the study area to assess the water allocation mechanism during drought periods. We demonstrate that the proposed water allocation scheme significantly and substantially avails water managers of reliably determining a suitable discount rate on water supply for both irrigation and public sectors, and thus can reduce the drought risk and the compensation amount induced by making restrictions on agricultural use water.

Agro-ecology, household economics and malaria in Uganda: empirical correlations between agricultural and health outcomes

PubMed Central

2014-01-01

Background This paper establishes empirical evidence relating the agriculture and health sectors in Uganda. The analysis explores linkages between agricultural management, malaria and implications for improving community health outcomes in rural Uganda. The goal of this exploratory work is to expand the evidence-base for collaboration between the agricultural and health sectors in Uganda. Methods The paper presents an analysis of data from the 2006 Uganda National Household Survey using a parametric multivariate Two-Limit Tobit model to identify correlations between agro-ecological variables including geographically joined daily seasonal precipitation records and household level malaria risk. The analysis of agricultural and environmental factors as they affect household malaria rates, disaggregated by age-group, is inspired by a complimentary review of existing agricultural malaria literature indicating a gap in evidence with respect to agricultural management as a form of malaria vector management. Crop choices and agricultural management practices may contribute to vector control through the simultaneous effects of reducing malaria transmission, improving housing and nutrition through income gains, and reducing insecticide resistance in both malaria vectors and agricultural pests. Results The econometric results show the existence of statistically significant correlations between crops, such as sweet potatoes/yams, beans, millet and sorghum, with household malaria risk. Local environmental factors are also influential- daily maximum temperature is negatively correlated with malaria, while daily minimum temperature is positively correlated with malaria, confirming trends in the broader literature are applicable to the Ugandan context. Conclusions Although not necessarily causative, the findings provide sufficient evidence to warrant purposefully designed work to test for agriculture health causation in vector management. A key constraint to modeling the agricultural basis of malaria transmission is the lack of data integrating both the health and agricultural information necessary to satisfy the differing methodologies used by the two sectors. A national platform for collaboration between the agricultural and health sectors could help align programs to achieve better measurements of agricultural interactions with vector reproduction and evaluate the potential for agricultural policy and programs to support rural malaria control. PMID:24990158

Empirical support for global integrated assessment modeling: Productivity trends and technological change in developing countries' agriculture and electric power sectors

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sathaye, Jayant A.

2000-04-01

Integrated assessment (IA) modeling of climate policy is increasingly global in nature, with models incorporating regional disaggregation. The existing empirical basis for IA modeling, however, largely arises from research on industrialized economies. Given the growing importance of developing countries in determining long-term global energy and carbon emissions trends, filling this gap with improved statistical information on developing countries' energy and carbon-emissions characteristics is an important priority for enhancing IA modeling. Earlier research at LBNL on this topic has focused on assembling and analyzing statistical data on productivity trends and technological change in the energy-intensive manufacturing sectors of five developing countries,more » India, Brazil, Mexico, Indonesia, and South Korea. The proposed work will extend this analysis to the agriculture and electric power sectors in India, South Korea, and two other developing countries. They will also examine the impact of alternative model specifications on estimates of productivity growth and technological change for each of the three sectors, and estimate the contribution of various capital inputs--imported vs. indigenous, rigid vs. malleable-- in contributing to productivity growth and technological change. The project has already produced a data resource on the manufacturing sector which is being shared with IA modelers. This will be extended to the agriculture and electric power sectors, which would also be made accessible to IA modeling groups seeking to enhance the empirical descriptions of developing country characteristics. The project will entail basic statistical and econometric analysis of productivity and energy trends in these developing country sectors, with parameter estimates also made available to modeling groups. The parameter estimates will be developed using alternative model specifications that could be directly utilized by the existing IAMs for the manufacturing, agriculture, and electric power sectors.« less

Mobile Digital Applications for Farmers to Transform Agriculture Statistics from the Bottom Up

NASA Astrophysics Data System (ADS)

Brown, M. E.; Grace, K.; Sahajpal, R.; Nagol, J. R.

2017-12-01

As the global population continues to grow and become more wealthy, the amount of food humanity consumes should also grow, particularly in low income countries that are currently consuming significantly less per capita than is optimal. Reducing yield gaps in low income regions can increase overall agricultural production and pull populations conducting subsistence agriculture in rural areas out of poverty. Investment in the transformation of agricultural value chain to include low income farmers can have significant positive impacts on communities and individuals participating, as well as the resilience of the food system itself. A major obstacle to improving the effectiveness of policies and interventions in the rural agriculture sector is a lack of information about the socio-economic, agricultural production and environmental conditions experienced by farmers as they participate in agriculture. There is a significant lack of high quality statistics that can be used to develop effective agricultural development programs. In today's world of online mapping software, accurate global positioning systems that allow instant, affordable location retrieval and growing mobile connectivity, what is needed is community- or even field-level information. Given the enormous geographic, economic and cultural diversity of even small countries, why settle for national statistics? The kind of information that is needed is at the field and farmer level, not the country level. This paper reviews ways geospatial and information technology can be used to generate farmer-specific information across all countries participating in agriculture.

Efficacy of Bioremediation of Agricultural Runoff Using Bacterial Communities in Woodchip Bioreactors.

NASA Astrophysics Data System (ADS)

Mortensen, Z. H.; Leandro, M.; Silveus, J. M.

2016-12-01

California's agricultural sector is fundamental in the State's economic growth and is responsible for supplying a large portion of the country's produce. In order to meet the market's demand for crop production the region's agrarian landscape requires an abundance of nutrient rich irrigation. The resultant agricultural effluent is a source of increased nutrient content in California's watershed and groundwater systems, promoting eutrophication and contributing to negative impacts on local ecosystems and human health. Previous studies have examined the denitrification potential of woodchip bioreactors. However, research has been deficient regarding specific variables that may affect the remediation process. To evaluate the efficacy of woodchip bioreactors in remediating waters containing high nitrate concentrations, denitrification rates were examined and parameters such as temperature, laminar flow, and hydraulic residence times were measured to identify potential methods for increasing denitrification efficiency. By measuring the rate of denitrification in a controlled environment where potentially confounding factors can be manipulated, physical components affecting the efficiency of woodchip bioreactors were examined to assess effects. Our research suggests the implementation of woodchip bioreactors to treat agricultural runoff would significantly reduce the concentration of nitrate in agricultural effluent and contribute to the mitigation of negative impacts associated with agricultural irrigation. Future research should focus on the ability of woodchip bioreactors to successfully remediate other agricultural pollutants, such as phosphates and pesticides, to optimize the efficiency of the bioremediation process.

Assessing Climate Change Perceptions, Management Strategies, and Information Needs for Indiana Agricultural and Forestry Sectors

NASA Astrophysics Data System (ADS)

Cherkauer, K. A.; Chin, N.

2016-12-01

The agricultural and forestry sectors in the state of Indiana are highly dependent on climate and, subsequently, highly vulnerable to the impacts of climate change. Higher temperatures, shifts in precipitation patterns, more widespread prevalence of pests and pathogens, and increased frequency and severity of extreme weather events could all have negative effects on these two sectors in the future. Agricultural and forest producers are already modifying their management strategies in response to perceptions of changes in climate risk, but such responses have been primarily reactive in nature and, in many cases, demonstrate a disconnect between scientific findings and stakeholder perceptions of the greatest climate risks. This research has been conducted to help improve understanding of climate change risks to agriculture and forestry in Indiana; stakeholder perceptions of climate risks and their current management strategies; and the effectiveness of these management strategies for dealing with current and future climate risk. Sector-specific focus groups, expert panel assessments and surveys have all been utilized in this work, which will also contribute to the new Indiana Climate Change Impacts Assessment report.

Promoting healthy diets and tackling obesity and diet-related chronic diseases: what are the agricultural policy levers?

PubMed

Hawkes, Corinna

2007-06-01

Diet-related chronic diseases are now a serious global public health problem. Public health groups are calling for the agricultural sector to play a greater role in tackling the threat. To identify potential points of policy intervention in the agricultural sector that could be leveraged to promote healthy diets and tackle obesity and diet-related chronic diseases. A review of the literature on the dietary implications of agriculture, a conceptual analysis of the issues, and the identification of relevant examples. There are two main potential points of intervention in the agricultural sector that could be leveraged to promote healthy diets: agricultural policies and agricultural production practices. Agricultural policies and practices affect diet through their influence on food availability, price, and nutrient quality, which in turn affects food choices available to consumers. Agricultural policies amenable to intervention include input, production, and trade policies; agricultural production practices amenable to intervention include crop breeding, crop fertilization practices, livestock-feeding practices, and crop systems diversity. It is well-known that agricultural policies and production practices influence what farmers choose to grow. Agricultural policies and production practices could also play a role in influencing what consumers choose to eat. To identify how agricultural policies and practices can usefully contribute toward promoting healthy diets and tackling obesity and diet-related chronic diseases, health policymakers need to examine whether current agricultural policies and production practices are contributing to-or detracting from-efforts to attain dietary goals; where and how could agricultural intervention help achieve dietary goals; and whether there are trade-offs between these interventions and other important concerns, such as undernutrition and the livelihoods of agricultural producers. Given the potential of agriculture to contribute to large-scale, population-level dietary improvements, these questions warrant closer attention from health policymakers.

Joint Peru/United States report on Peru/United States cooperative energy assessment. Volume 3. Annexes 2-7

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1979-08-01

This report presents the results of a brief study of industral, mining, and agricultural sector energy demands in Peru. The study establishes current energy demands and sectoral activities, and projects future energy needs through the year 2000. With respect to energy demands, the subsectors covered are: mining and non-ferrous metals, iron and steel, cement, oil refining, petrochemicals, fertilizers, and agriculture (major crops). Total energy demands for these subsectors are developed for 1976, 1985, and 2000, assuming full-capacity operation for the majority of the plants. Potential options developed for reducing energy use in these sectors are: increased coal use, improved energymore » efficiency in the manufacturing sector, use of agricultural wastes as fuel, possible displacement of oil by hydroelectricity, use of geothermal energy, increased use of water materials for the cement and construction industries, and possible promotion of cogeneration systems (electricity/steam). (MCW)« less

Innovative type of Reproduction of Agriculture of the Komi Republic - the Basis of its Sustainable Development

NASA Astrophysics Data System (ADS)

Ponomareva, Anna

2013-04-01

The necessity of transition of agriculture to sustainability is complicated by the necessity to increase production of local environmentally safe food, unemployment indigenous growth of living standards of the peasant community, stable and balanced nature management. Due to the difficult economic conditions of natural and agricultural development for the Komi Republic principle of food self-sufficiency is unacceptable, but the production of basic food products, for which favorable there are conditions, is objective necessity in the short term. Priority directions of development of the agricultural and fisheries sectors: the production of socially significant food products - potatoes, vegetables of the local range, milk, fresh meat, eggs, dietary, preservation and development of traditional industries, and collecting wild mushrooms and berries and its processing. Off forecast in the northern agricultural areas three scenarios selected: a base (slow), optimistic and pessimistic. For all versions of the forecast to be considered systemic crisis of the agricultural sector of the North is ongoing. Functioning of on sector under a particular scenario will depend on the factors and conditions that affect the stability of the agricultural enterprises and farms. At the base, especially under unfavorable conditions, negative external factors and conditions will prevail. The baseline scenario of recent years assumes the maintenance of the rate of change indicators of agriculture, of the levels of state industry conditions of interbranch exchange in agriculture, of access to economic entities in the financial markets, of the pricing and taxation policies, of relatively low investment opportunities to upgrade production capacity. In this embodiment the growth of agricultural production and its reduction will occur in suburban (peripheral areas). The optimistic scenario will be characterized by protectionist policies of the state, increase investment to improve soil fertility, renewal of the production capacity, attracting qualified personnel a field, the development of industrial infrastructure, a significant improvement of social and living conditions in rural areas. This version is based on the innovative development of the agricultural sector. Unfavorable effects of negative factors and conditions stimulate many problems in the agricultural sector of the North. If you save the disparity in prices for agricultural products and inputs, suppling the village, I and III monopoly agribusiness, reducing level of state industry, access to financial markets will be difficult for farmers, there will be a decrease in income of agricultural producers, the degradation of productive capacity, the outflow of cadres from the village, the reduction of potatoes, vegetables, dairy products and beef. In rural areas, to further deterioration of the demographic situation and as a consequence this populated area will decrease. The most acceptable scenario of post-crisis development of agriculture of the North is an optimistic scenario, providing innovative type of reproduction. To implement it, you, first of all, need to overcome the negative effects of a sharp transition to a market sector with the monetarist approaches to form multi-purpose agricultural policy aimed at modernizing agricultural production and improving the welfare of farmers. There is opportunities for the implementation of the optimistic scenario in the Komi Republic.

Contribution of population growth to per capita income and sectoral output growth in Japan, 1880-1970.

PubMed

Yamaguchi, M; Kennedy, G

1984-09-01

The authors measured the positive and negative contributions of population and labor force growth to the growth of per capita income and sectoral output in Japan in the 1880-1970 period. A 2-sector growth accounting model that treats population and labor growth as separate variables was used. 3 alternative methods were used: the Residual method, the Verdoorn method, and the factor augmenting rate method. The total contribution of population cum labor growth to per capita income growth tended to be negative in the 1880-1930 period and positive in the 1930-40 and 1950-70. Over the 1880-1970 period as a whole, population cum labor growth made a positive contribution to per capita income growth under the Residual method (0.35%/year), the factor augmenting rate method (0.29%/year), and the Verdoorn method (0.01%/year). In addition, population cum labor growth contributed positively to sectoral output growth. The average contribution to agricultural output growth ranged from 1.03% (Verdoorn) - 1.46%/year (factor augmenting rate), while the average contribution to nonagricultural output growth ranged from 1.22% (Verdoorn) - 1.60%/year (Residual). Although these results are dependent on the model used, the fact that all 3 methods yielded consistent results suggests that population cum labor growth did make a positive contribution to per capita income and sectoral output growth in Japan. These findings imply that in economies where the rate of technical change in agricultural and nonagricultural sectors exceeds population growth, policies that reduce agricultural elasticities may be preferable; on the other hand, policies that reduce agricultural elasticities are to be avoided in economies with low rates of technical change. Moreover, in the early stages of economic development, policies that increase agricultural income and price elasticities should be considered.

Role of Sectoral Transformation in Evolution of Water Management in Agricultural Catchments: A Socio-hydrologic Analysis

NASA Astrophysics Data System (ADS)

Roobavannan, Mahendran; Kandasamy, Jaya; Pande, Saket; Vigneswaran, Saravanamuthu; Sivapalan, Murugesu

2017-04-01

Sustainable development in society depends on an understanding of how communities interact with the natural system and how they co-evolve in time. Increasingly the livelihood and future viability of agricultural communities are being threatened by competition for water between food production and the environment. This study focused on this water-agriculture-environment nexus as it played out in the Murrumbidgee River Basin, Australia, and how co-evolution of society and water management occurred. Over 100 years of agricultural development the Murrumbidgee Basin has experienced a "pendulum swing" in terms of water allocation entirely to agriculture production at the expense of the environment, and eventually to the reallocation of water back to the environment. This pendulum swing has been attributed to a combination of increased national wealth, reduced share of agriculture in the national GDP, and to increased environment awareness of environmental degradation. Environment awareness depends on the structure of the economy, education, and socio-politic structure. As the basin economy develops accompanied by sectoral transformation, basin production becomes increasingly dependent on the industry sector. A loss of economic dependence on agriculture leads to a lower emphasis on the need to allocate water to agriculture. Society's value and preference turns around and is motivated towards the protection of the ecosystem. We hypothesize that in the competition of water use between economic livelihood and environment well being of society, economic diversification pushed the balance in towards the environment. In order to test this hypothesis, we developed a coupled socio-hydrologic model, which explicitly considers bi-directional feedbacks between human and water systems to explore how the competition for water played out in the Murrumbidgee. We demonstrate this by linking the dynamics of the economy of the whole (agriculture and industry) to community sentiment for the environment and to water allocation. The model captured the changing value and preference, threshold dynamics, changing water management and showed the importance of sectoral transformation in water management. The modeling showed that as agriculture became constrained by water reallocation to restore ecosystem health, the community coped with the transition through the sectoral transformation to the industry sector and out-migration of basin residents. The dynamics observed in the Murrumbidgee River basin highlights how the transformation of the basin economy influenced sustainable development, mitigated adverse economic outcomes and enabled society to transition with the implementation of water management decisions that increasingly favored the environment.

Regional applicability and potential of salt-gradient solar ponds in the United States. Volume 1: Executive summary

NASA Technical Reports Server (NTRS)

Lin, E. I. H.

1982-01-01

Findings of a survey concerning salt ponds are summarized. The residential, commercial, and institutional buildings sector is discussed. The industrial process heat sector is considered. The agricultural process heat sector is examined. The electrical power sector is reviewed. The desalinization sector is considered.

Effects of bioenergy production on European nature conservation options

NASA Astrophysics Data System (ADS)

Schleupner, C.; Schneider, U. A.

2009-04-01

To increase security of energy supply and reduce greenhouse gas (GHG) emissions the European Commission set out a long-term strategy for renewable energy in the European Union (EU). Bioenergy from forestry and agriculture plays a key role for both. Since the last decade a significant increase of biomass energy plantations has been observed in Europe. Concurrently, the EU agreed to halt the loss of biodiversity within its member states. One measure is the Natura2000 network of important nature sites that actually covers about 20% of the EU land surface. However, to fulfil the biodiversity target more nature conservation and restoration sites need to be designated. There are arising concerns that an increased cultivation of bioenergy crops will decrease the land available for nature reserves and for "traditional" agriculture and forestry. In the following the economic and ecological impacts of structural land use changes are demonstrated by two examples. First, a case study of land use changes on the Eiderstedt peninsula in Schleswig-Holstein/Germany evaluates the impacts of grassland conversion into bioenergy plantations under consideration of selected meadow birds. Scenarios indicate not only a quantitative loss of habitats but also a reduction of habitat quality. The second study assesses the role of bioenergy production in light of possible negative impacts on potential wetland conservation sites in Europe. By coupling the spatial wetland distribution model "SWEDI" (cf. SCHLEUPNER 2007) to the European Forest and Agricultural Sector Optimization Model (EUFASOM; cf. SCHNEIDER ET AL. 2008) economic and environmental aspects of land use are evaluated simultaneously. This way the costs and benefits of the appropriate measures and its consequences for agriculture and forestry are investigated. One aim is to find the socially optimal balance between alternative wetland uses by integrating biological benefits - in this case wetlands - and economic opportunities - here agriculture and forestry including bioenergy options. Results reveal that bioenergy targets have significant effects on conservation planning and nature conservation. The additional land utilization demands driven by bioenergy targets influence not only the restoration costs of wetland areas. Also wetland conservation targets in one place stimulate land use intensification elsewhere due to market linkages. It also implies that environmental stresses (to wetlands) may be transferred to other countries. In all the results show that an integrated modelling of environmental and land use changes in European scale is able to estimate the impacts of policy decisions in nature conservation and agriculture. As shown by the case study, the implementation of any targets concerning resource utilization need to be followed by adequate land use planning. References Schleupner C. (2007). Estimation of wetland distribution potentials in Europe. FNU-135, Hamburg University and Centre for Marine and Atmospheric Science, Hamburg. Schneider U.A., J Balkovic, S. De Cara, O. Franklin, S. Fritz, P. Havlik, I. Huck, K. Jantke , A.M.I. Kallio, F. Kraxner, A. Moiseyev, M. Obersteiner, C.I. Ramos, C. Schleupner, E. Schmid, D. Schwab & R. Skalsky (2008). The European Forest and Agricultural Sector Optimization Model - EUFASOM. FNU-156, Hamburg University and Centre for Marine and Atmospheric Science, Hamburg.

A Comparison of Agriculture in the United States and the European Community.

ERIC Educational Resources Information Center

Newman, Mark; And Others

It is difficult to compare the United States and European Community (EC) agricultural sectors for several reasons. For one thing, the European community is an economic association of 12 independent nations, each of which has its own national methods of data collection and statistical presentation. The problem of comparing the two sectors is…

Measuring Stability and Security in Iraq

DTIC Science & Technology

2010-06-01

irrigation and agricultural infrastructure contribute to continued difficulties in this sector. Poor plant and animal genetics, insufficient fertilizer...education of public and private sector representatives, better management of water and soil resources, and improving animal and plant health. USDA...the National Agricultural Statistics Service, animal disease experts from the Animal and Plant Health Inspection Service, and experts from other

Top-down NOx and SO2 emissions simultaneously estimated from different OMI retrievals and inversion frameworks

NASA Astrophysics Data System (ADS)

Qu, Z.; Henze, D. K.; Wang, J.; Xu, X.; Wang, Y.

2017-12-01

Quantifying emissions trends of nitrogen oxides (NOx) and sulfur dioxide (SO2) is important for improving understanding of air pollution and the effectiveness of emission control strategies. We estimate long-term (2005-2016) global (2° x 2.5° resolution) and regional (North America and East Asia at 0.5° x 0.667° resolution) NOx emissions using a recently developed hybrid (mass-balance / 4D-Var) method with GEOS-Chem. NASA standard product and DOMINO retrievals of NO2 column are both used to constrain emissions; comparison of these results provides insight into regions where trends are most robust with respect to retrieval uncertainties, and highlights regions where seemingly significant trends are retrieval-specific. To incorporate chemical interactions among species, we extend our hybrid method to assimilate NO2 and SO2 observations and optimize NOx and SO2 emissions simultaneously. Due to chemical interactions, inclusion of SO2 observations leads to 30% grid-scale differences in posterior NOx emissions compared to those constrained only by NO2 observations. When assimilating and optimizing both species in pseudo observation tests, the sum of the normalized mean squared error (compared to the true emissions) of NOx and SO2 posterior emissions are 54-63% smaller than when observing/constraining a single species. NOx and SO2 emissions are also correlated through the amount of fuel combustion. To incorporate this correlation into the inversion, we optimize seven sector-specific emission scaling factors, including industry, energy, residential, aviation, transportation, shipping and agriculture. We compare posterior emissions from inversions optimizing only species' emissions, only sector-based emissions, and both species' and sector-based emissions. In situ measurements of NOx and SO2 are applied to evaluate the performance of these inversions. The impacts of the inversion on PM2.5 and O3 concentrations and premature deaths are also evaluated.

Modeling the Heterogeneous Effects of GHG Mitigation Policies on Global Agriculture and Forestry

NASA Astrophysics Data System (ADS)

Golub, A.; Henderson, B.; Hertel, T. W.; Rose, S. K.; Sohngen, B.

2010-12-01

Agriculture and forestry are envisioned as potentially key sectors for climate change mitigation policy, yet the depth of analysis of mitigation options and their economic consequences remains remarkably shallow in comparison to that for industrial mitigation. Farming and land use change - much of it induced by agriculture -account for one-third of global greenhouse gas (GHG) emissions. Any serious attempt to curtail these emissions will involve changes in the way farming is conducted, as well as placing limits on agricultural expansion into areas currently under more carbon-intensive land cover. However, agriculture and forestry are extremely heterogeneous, both in the technology and intensity of production, as well as in the GHG emissions intensity of these activities. And these differences, in turn, give rise to significant changes in the distribution of agricultural production, trade and consumption in the wake of mitigation policies. This paper assesses such distributional impacts via a global economic analysis undertaken with a modified version of the GTAP model. The paper builds on a global general equilibrium GTAP-AEZ-GHG model (Golub et al., 2009). This is a unified modeling framework that links the agricultural, forestry, food processing and other sectors through land, and other factor markets and international trade, and incorporates different land-types, land uses and related CO2 and non-CO2 GHG emissions and sequestration. The economic data underlying this work is the global GTAP data base aggregated up to 19 regions and 29 sectors. The model incorporates mitigation cost curves for different regions and sectors based on information from the US-EPA. The forestry component of the model is calibrated to the results of the state of the art partial equilibrium global forestry model of Sohngen and Mendelson (2007). Forest carbon sequestration at both the extensive and intensive margins are modeled separately to better isolate land competition between agriculture and timber products. We analyze regional changes in land use, output, competitiveness, and food consumption under climate change mitigation policy regimes which differ by participation/exclusion of agricultural sectors and non-Annex I countries, as well as policy instruments. While responsible for only a third of global GHG emissions, under the global carbon tax the land using sectors could contribute half of all economically efficient mitigation in the near term, at modest carbon prices. The imposition of a carbon tax in agriculture, however, has adverse effects on food consumption, especially in developing countries. These effects are much smaller if an agricultural producer subsidy is introduced to compensate for carbon tax the producers pay. The global forest carbon sequestration subsidy effectively controls emission leakage when the carbon tax is imposed only in Annex I regions, since the sequestration subsidy bids land away from agriculture in non-Annex I regions. Though the sequestration subsidy yields GHG abatement benefit, the policy may adversely affect food security and agricultural development in developing countries.

The risk of low concentrations of antibiotics in agriculture for resistance in human health care.

PubMed

Ter Kuile, Benno H; Kraupner, Nadine; Brul, Stanley

2016-10-01

The contribution of antibiotic resistance originally selected for in the agricultural sector to resistance in human pathogens is not known exactly, but is unlikely to be negligible. It is estimated that 50% to 80% of all antibiotics used are applied in agriculture and the remainder for treating infections in humans. Since dosing regimens are less controlled in agriculture than in human health care, veterinary and environmental microbes are often exposed to sublethal levels of antibiotics. Exposure to sublethal drug concentrations must be considered a risk factor for de novo resistance, transfer of antimicrobial resistant (AMR) genes, and selection for already existing resistance. Resistant zoonotic agents and commensal strains carrying AMR genes reach the human population by a variety of routes, foodstuffs being only one of these. Based on the present knowledge, short treatments with the highest dose that does not cause unacceptable side-effects may be optimal for achieving therapeutic goals while minimizing development of resistance. Novel approaches such as combination or alternating therapy are promising, but need to be explored further before they can be implemented in daily practice. © FEMS 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Using Satellite Data for Environmental Impact Analysis in Economic Growth: the Case of Mongolia

NASA Astrophysics Data System (ADS)

Tungalag, A.; Tsolmon, R.; Ochirkhuyag, L.; Oyunjargal, J.

2016-06-01

The Mongolian economy is based on the primary and secondary economic sectors of agriculture and industry. In addition, minerals and mining become a key sector of its economy. The main mining resources are gold, copper, coal, fluorspar and steel. However, the environment and green economy is one of the big problems among most of the countries and especially for countries like Mongolia where the mining is major part of economy; it is a number one problem. The research of the work tested how environmental elements effect to current Mongolian economic growth, which is growing economy because of mining sector. The study of economic growth but the starting point for any study of economic growth is the neoclassical growth model emphasizing the role of capital accumulation. The growth is analysed either in terms of models with exogenous saving rates (the Solow-Swan model), or models where consumption and hence savings are determined by optimizing individuals. These are the so-called optimal growth or Ramsey-Cass-Koopmans. The study extends the Solow model and the Ramsey-Cass-Koopmans model, including environmental elements which are satellite data determine to degraded land and vegetation value from 1995 to 2013. In contrast, we can see the degraded land area increases from 1995 (4856 m2) to 2013 (10478 m2) and vegetation value decrease at same time. A description of the methodology of the study conducted follows together with the data collected and econometric estimations and calibration with environmental elements.

Flat-Top Sector Beams Using Only Array Element Phase Weighting: A Metaheuristic Optimization Approach

DTIC Science & Technology

2012-10-10

IrwIn D. OlIn Flat-Top Sector Beams Using Only Array Element Phase Weighting: A Metaheuristic Optimization Approach Sotera Defense Solutions, Inc...2012 Formal Report Flat-Top Sector Beams Using Only Array Element Phase Weighting: A Metaheuristic Optimization Approach Irwin D. Olin* Naval...Manuscript approved June 30, 2012. 1 FLAT-TOP SECTOR BEAMS USING ONLY ARRAY ELEMENT PHASE WEIGHTING: A METAHEURISTIC

Droughts in the US: Modeling and Forecasting for Agriculture-Water Management and Adaptation

NASA Astrophysics Data System (ADS)

Perveen, S.; Devineni, N.; Lall, U.

2012-12-01

More than half of all US counties are currently mired in a drought that is considered the worst in decades. A persistent drought can not only lead to widespread impacts on water access with interstate implications (as has been shown in the Southeast US and Texas), chronic scarcity can emerge as a risk in regions where fossil aquifers have become the primary source of supply and are being depleted at rates much faster than recharge (e.g., Midwestern US). The standardized drought indices on which the drought declarations are made in the US so far consider only the static decision frameworks—where only the supply is the control variable and not the water consumption. If a location has low demands, drought as manifest in the usual indices does not really have "proportionate" social impact. Conversely, a modest drought as indicated by the traditional measures may have significant impacts where demand is close to the climatological mean value of precipitation. This may also lead to drought being declared too late or too soon. Against this fact, the importance of improved drought forecasting and preparedness for different sectors of the economy becomes increasingly important. The central issue we propose to address through this paper is the construction and testing of a drought index that considers regional water demands for specific purposes (e.g., crops, municipal use) and their temporal distribution over the year for continental US. Here, we have highlighted the use of the proposed index for three main sectors: (i) water management organizations, (ii) optimizing agricultural water use, and (iii) supply chain water risk. The drought index will consider day-to-day climate variability and sectoral demands to develop aggregate regional conditions or disaggregated indices for water users. For the daily temperature and precipitation data, we are using NLDAS dataset that is available from 1949 onwards. The national agricultural statistics services (NASS) online database has been accessed for the agricultural data at the county level. Preliminary analyses show that large parts of Midwest and Southern parts of Florida and California are prone to multiyear droughts. This can primarily be attributed to high agricultural and/or urban water demands coupled with high interannual variability in supply. We propose to develop season-ahead and monthly updated forecasts of the drought index for informing the drought management plans. Given the already customized (sector specific) nature of the proposed drought index and its ability to represent the variability in both supply and demand, the early warning or forecasting of the index would not only complement the drought early warning systems in place by the national integrated drought information system (NIDIS) but also help in prescribing the ameliorative measures for adaptation.

Ergonomics and design in the Brazilian agricultural sector: a proposal to build matrix of contradictions.

PubMed

Tosetto, Thaís; Camarotto, João Alberto

2012-01-01

The paper presents a correlation between the parameters of classical TRIZ and variables of analysis of the EWA to construct a matrix of contradictions in ergonomics, with the objective of assisting the designing processes in the Brazilian agricultural sector. Given the representativeness of the sector in the economy, the boundary conditions in which the activities are developed and their impact on the health of workers, this proposal should contribute to the development of adaptable solutions and the promotion of Decent Work.

Land Use and Management Change in the U.S. with Adaptation and Mitigation under Climate Change

NASA Astrophysics Data System (ADS)

Mu, J. E.; McCarl, B.

2011-12-01

Land use and management change interact with climate change. Land uses such as forestry, cropping and grazing depend on specific ecosystems that will be affected by climate change. Furthermore, this change will not be uniform across land uses or regions. Consequently, land use productivity will change as will the mix of land uses (Mendelsohn and Dinar 2009). On the other hand, land use has been a major contributor to greenhouse gas emissions (IPCC 2007). Therefore, research focusing on land use change, climate change and greenhouse gas mitigation should consider the interaction between these effects. The research to be reported in this presentation investigates how agricultural and forestry land use and management decisions change across the coterminous U.S. under climate change with and without adaptation plus how a carbon price policy influences decisions, mitigates GHG emissions and alters carbon sequestration. Our approach is to simulate behavior under climate scenarios by 2030 using data from alternative two climate and two vegetation models while allowing for adaptive responses and imposing carbon prices. To do this, we use the Forest and Agricultural Optimization model with Greenhouse Gases (FASOMGHG) (Adams et al. 2005). In total, 16 scenarios are considered involving climate change and GHG prices relative to a base case with no climate change and no adaptation or mitigation. After analyzing results across regions and sectors, our findings include: 1.More land is converted to forestry use and less land is used for agricultural purposes under both the adaptation and mitigation strategies. 2. Harvest rotation of hardwood is lengthened and harvest of softwood and hardwood are reduced when a carbon price is included. However, such management changes were insignificant when only the adaptation strategy is used. 3. The total GHG emissions from agricultural and forestry sector are increased by 2-3 millions tones CO2 equivalent under climate change and adaptation in the absence of GHG prices, but when those prices are introduced emissions are reduced by 6 millions tones CO2 equivalent. Similarly, under climate change, GHG prices stimulate a gain in carbon sequestration in the agricultural and forestry sectors. 4. Forest sector welfare and crop producer surplus is reduced under the adaption policy by a small amount, that is -0.02 and 0.14-0.2 billion dollars respectively. However, forest welfare, agricultural welfare, crop producer surplus and livestock producer surplus all increased, by 0.62, 0.67, 0.84 and 1.48 billion dollars, respectively when GHG prices are introduced. References Adams DM, Alig RJ, McCarl BA et al., 2005. FASOMGHG conceptual structure, and specification: documentation. Texas A&M University, (http://agecon2.tamu.edu/people/faculty/mccarl-bruce/papers/ 1212FASOMGHG_doc.pdf) IPCC (Intergovernmental Panel on Climate Change), 2007. Impacts, Adaptation and Vulnerability. Cambridge University Press, Cambridge, UK Mendelsohn R, Dinar A. 2009. Land Use and Climate Change Interactions. Annual Review of Resource Economics. 1: 309-332.

Parametric sensitivity analysis of an agro-economic model of management of irrigation water

NASA Astrophysics Data System (ADS)

El Ouadi, Ihssan; Ouazar, Driss; El Menyari, Younesse

2015-04-01

The current work aims to build an analysis and decision support tool for policy options concerning the optimal allocation of water resources, while allowing a better reflection on the issue of valuation of water by the agricultural sector in particular. Thus, a model disaggregated by farm type was developed for the rural town of Ait Ben Yacoub located in the east Morocco. This model integrates economic, agronomic and hydraulic data and simulates agricultural gross margin across in this area taking into consideration changes in public policy and climatic conditions, taking into account the competition for collective resources. To identify the model input parameters that influence over the results of the model, a parametric sensitivity analysis is performed by the "One-Factor-At-A-Time" approach within the "Screening Designs" method. Preliminary results of this analysis show that among the 10 parameters analyzed, 6 parameters affect significantly the objective function of the model, it is in order of influence: i) Coefficient of crop yield response to water, ii) Average daily gain in weight of livestock, iii) Exchange of livestock reproduction, iv) maximum yield of crops, v) Supply of irrigation water and vi) precipitation. These 6 parameters register sensitivity indexes ranging between 0.22 and 1.28. Those results show high uncertainties on these parameters that can dramatically skew the results of the model or the need to pay particular attention to their estimates. Keywords: water, agriculture, modeling, optimal allocation, parametric sensitivity analysis, Screening Designs, One-Factor-At-A-Time, agricultural policy, climate change.

Environmental and economic development consequences of forest and agricultural sector policies in Latin America (a synthesis of case studies of Costa Rica, Ecuador, and Bolivia)

DOE Office of Scientific and Technical Information (OSTI.GOV)

Stewart, R.; Gibson, D.

This paper draws heavily on the results of case studies in Bolivia, Costa Rica, and Ecuador to explain how sectoral policies have tilted land use decisions against forestry and in favor of agriculture, and to present estimates of the economic development effects of those decisions. The paper summarizes information on forests and forest industries of the three countries, and it describes the framework within which policies are designed. It presents the effects of sectoral policies on land use and forest management, and then quantifies and discusses economic costs of relevant sectoral policies. Conclusions and recommendations for policy reform are offered.

Readership Study of an Agricultural Magazine.

ERIC Educational Resources Information Center

Holmes, Ted

Since the fall of 1957, the Louisiana Agricultural Experiment Station has published a semi-scientific quarterly magazine, "Louisiana Agriculture," to present information on the station's research to Louisiana citizens, particularly public officials, members of the agribusiness sector, science-oriented farmers, agriculture and science…

National Policies and strategies on science and technology for development.

PubMed

Ayob, A

1979-01-01

Malaysia's economy continues to be dependent upon the primary producing sectors, based on the exploitation or use of her natural resources. At this Malaysia is the world's largest exporter of natural rubber, tin, tropical hardwoods and palm oil. There is still wide scope for developing new application of science and technology in the rubber industry, and the scope remains even wider in other agricultural sectors. In order to accelerate development in the traditional agricultural sector, that is, those related to food production, the Malaysian Agricultural Research and Development Institute (MARDI) was established in 1970 to undertake research in the development of crops other than rubber. Progress has been relatively slow in the development of agriculture. In forestry much work needs to be done in the application of science and technology to forest management, logging, timber utilization, silviculture and the related field of forest regeneration, tree breeding, forest protection and soil conservation. Further development of the mining sector calls for the application of new technology both in prospecting for new sources of minerals and in exploitation. Development of off-shore technology will become increasingly important. Although a major sector in resources development is energy, there is, as yet, no energy policy. Structural diversification is recognized as a basic need for the economic development of Malaysia. Malaysia will have a great demand for trained scientific and technological personnel.

Determinants and impacts of public agricultural research in Japan: Product level evidence on agricultural Kosetsushi

NASA Astrophysics Data System (ADS)

Fukugawa, Nobuya

2017-12-01

The public sector is an important source of agricultural research as the agricultural sector in many countries consists of a number of individual farmers who have difficulty in bearing the cost of research and development. Public institutes for testing and research called Kosetsushi help agriculture and manufacturing improve labor productivity through technology transfer activities, whereby constituting an important component of regional innovation systems in Japan. This study establishes panel data of agricultural Kosetsushi and examines whether their research activities are responsive to local needs and which type of research effort is conducive to the promotion of agricultural product innovations. Estimation results reveal variations across plants in the impacts of agricultural clusters on research on the plant conducted by Kosetsushi located in the cluster. A positive impact is observed only for vegetable while negative or statistically insignificant relationships are found for rice, fruit, and flower. The impact of research on plant breeding on agricultural product innovations also varies across plants. Policy implications of the major findings are discussed.

SWAT-MODSIM-PSO optimization of multi-crop planning in the Karkheh River Basin, Iran, under the impacts of climate change.

PubMed

Fereidoon, Majid; Koch, Manfred

2018-07-15

Agriculture is one of the environmental/economic sectors that may adversely be affected by climate change, especially, in already nowadays water-scarce regions, like the Middle East. One way to cope with future changes in absolute as well as seasonal (irrigation) water amounts can be the adaptation of the agricultural crop pattern in a region, i.e. by planting crops which still provide high yields and so economic benefits to farmers under such varying climate conditions. To do this properly, the whole cascade starting from climate change, effects on hydrology and surface water availability, subsequent effects on crop yield, agricultural areas available, and, finally, economic value of a multi-crop cultivation pattern must be known. To that avail, a complex coupled simulation-optimization tool SWAT-LINGO-MODSIM-PSO (SLMP) has been developed here and used to find the future optimum cultivation area of crops for the maximization of the economic benefits in five irrigation-fed agricultural plains in the south of the Karkheh River Basin (KRB) southwest Iran. Starting with the SWAT distributed hydrological model, the KR-streamflow as well as the inflow into the Karkheh-reservoir, as the major storage of irrigation water, is calibrated and validated, based on 1985-2004 observed discharge data. In the subsequent step, the SWAT-predicted streamflow is fed into the MODSIM river basin Decision Support System to simulate and optimize the water allocation between different water users (agricultural, environmental, municipal and industrial) under standard operating policy (SOP) rules. The final step is the maximization of the economic benefit in the five agricultural plains through constrained PSO (particle swarm optimization) by adjusting the cultivation areas (decision variables) of different crops (wheat, barley, maize and "others"), taking into account their specific prizes and optimal crop yields under water deficiency, with the latter computed in the LINGO-sub-optimization module embedded in the SLMP-tool. For the optimization of the agricultural benefits in the KRB in the near future (2038-2060), quantile-mapping (QM) bias-corrected downscaled predictors for daily precipitation and temperatures of the HadGEM2-ES GCM-model under RCP4.5- and RCP8.5-emission scenarios are used as climate drivers in the streamflow- and crop yield simulations of the SWAT-model, leading to corresponding changes in the final outcome (economic benefit) of the SLMP-tool. In fact, whereas for the historical period (1985-2004) a total annual benefit of 94.2 million US$ for all multi-crop areas in KRB is computed, there is a decrease to 88.3 million US$ and 72.1 million US$ for RCP4.5 and RCP8.5, respectively, in the near future (2038-2060) prediction period. In fact, this future income decrease is due to a substantial shift from cultivation areas devoted nowadays to high-price wheat and barley in the winter season to low-price maize-covered areas in the future summers, owing to a future seasonal change of SWAT-predicted irrigation water available, i.e. less in the winter and more in the summer. Copyright © 2018 Elsevier B.V. All rights reserved.

Water-centric nexus for response to climate change on agriculture and forest sector: The case of the Korean Peninsula

NASA Astrophysics Data System (ADS)

Lim, C. H.; Choi, Y.; Jeon, S. W.; Lee, W. K.

2017-12-01

Given their complexity and the number of stakeholders involved, it is difficult to solve social issues or problems based on an analysis that focuses on a single dimension. In particular, research surrounding climate change is inherently multidisciplinary and there is a need for highly pluralistic nexuses that can be used as a framework for policy decisions. Here, we suggest to water-centric nexus on agriculture and forest sector to improve response to climate change. The nexus is composed agricultural water demand and forest water supply to enhancing water-related adaptation to climate change in the Korean Peninsula. Agricultural productivity and water use related variables was estimating by EPIC crop model, and InVEST model applied for estimation of forest water supply. Results under two climate change scenarios (RCP4.5 and 8.5) and time period (2050s and 2070s), the forest water supply for the all future climate scenarios will increase significantly. In case of agriculture, irrigated crops experienced only the benefits of climate change, but rainfed crops were negatively impacted. It was also found that crop irrigation demand in the future is expected to be around twice as high as baseline levels, thus making irrigation more difficult to successfully implement. These hydrological threats have the potential to greatly reduce food security. In the nexus perspectives, the drop in the productivity of rainfed crops and the increase in irrigation demand in the agriculture sector can be resolved through interconnections with the forest sector. Appropriate management of the water supply in future climatic conditions characterized by increasing precipitation can maintain and expand agricultural areas through irrigation. To achieve this, a time-series water supply versus demand analysis must be performed so that an accurate balance between supply and demand can be established. Water-centric interactions of the agriculture and forest are the basis of nexus-based adaptation and they can suggest effective climate change responses for the Korean peninsula. In particular, this approach will be effective in transforming sectors that experience trade-offs into ones that promote synergies.

A Systems Approach to Agricultural Biosecurity.

PubMed

Anand, Manish

This article highlights the importance of systems approaches in addressing agricultural biosecurity threats. On the basis of documentary analysis and stakeholder interaction, a brief survey of agricultural biosecurity threats and vulnerabilities from global and Indian perspectives is provided, followed by an exploration of technological and institutional capabilities. Finally, a perspective on the agricultural disease diagnostic networks is provided, drawing instances from global developments. Technical barriers to agroterrorism are lower than those to human-targeted bioterrorism, and the sector is unique as even a very small disease outbreak could prompt international export restrictions. Key vulnerabilities in the agriculture sector stem from, among others, the structure of agricultural production; insufficient monitoring, surveillance, and controls systems at the borders and in the food chain; inefficient systems for reporting unusual occurrences and outbreaks of disease; and lack of sufficiently trained human resources capable of recognizing or treating transboundary pathogens and diseases. An assessment of technology and institutions pertaining to crop and animal protection management suggests certain gaps. Investment in developing new technologies for civilian application in agriculture, as well as for legitimate actions pertaining to defense, detection, protection, and prophylaxis, and in upgrading laboratory facilities can increase the agricultural sector's level of preparedness for outbreaks. To address potential threats and vulnerabilities of agroterrorism effectively requires the development of a comprehensive strategy and a combined, interagency approach, ideally on an international level. It is proposed that a systems-oriented approach for developing knowledge and innovation networks and strengthening skills and capacities would enable a more resilient agricultural biosecurity system.

Impact analysis of leading sub sector on basic sector to regional income in Siak Regency, Riau Province

NASA Astrophysics Data System (ADS)

Astuti, P.; Nugraha, I.; Abdillah, F.

2018-02-01

During this time Siak regency only known as oil producing regency in Riau province, but based on the vision of spatial planning Siak’s regency in 2031 there was a shift from petroleum towards to other sectors such as agribusiness, agroindustry and tourism. The purpose of this study was to identify the sector base, the leading subsectors and shift with their characteristics and to identify the leading subsectors development priority. The method used in this research consisted of the method of Location Quotient (LQ, Shift Share, and Overlay method). The research results were used Location Quotient (LQ) to identify sector’s base in Siak regency based on the document of PDRB. The sector’s refers to the constant prices year of 2000 were mining and quarrying sector (2.25). The sector’s base using document of PDRB at constant prices 2000 without oil and gas sector was the agricultural sector with a value of LQ was 2,45. The leading sub sector in the Siak regency with mining and quarrying sector was oil and gas (1.02) and leading sub sector without oil and gas sector was the plantation sector (1.48) and forestry sector (1.73). Overlay analysis results shown that agriculture sector as a sector base and plantation and forestry as a leading sub sector has positive value and categorize as progressive and competitiveness. Because of that, this leading sub sector gets high priority to developing.

Shaping Collective Functions in Privatized Agricultural Knowledge and Information Systems: The Positioning and Embedding of a Network Broker in the Dutch Dairy Sector

ERIC Educational Resources Information Center

Klerkx, Laurens; Leeuwis, Cees

2009-01-01

This paper examines new organizational arrangements that have emerged in the context of a privatized extension system. It investigates the positioning and embedding of a network broker aimed at enhancing interaction in the privatized agricultural knowledge and information system (AKIS), to assess whether tensions reported in other sectors also…

Optimized solar-wind-powered drip irrigation for farming in developing countries

NASA Astrophysics Data System (ADS)

Barreto, Carolina M.

The two billion people produce 80% of all food consumed in the developing world and 1.3 billion lack access to electricity. Agricultural production will have to increase by about 70% worldwide by 2050 and to achieve this about 50% more primary energy has to be made available by 2035. Energy-smart agri-food systems can improve productivity in the food sector, reduce energy poverty in rural areas and contribute to achieving food security and sustainable development. Agriculture can help reduce poverty for 75% of the world's poor, who live in rural areas and work mainly in farming. The costs associated with irrigation pumping are directly affected by energy prices and have a strong impact on farmer income. Solar-wind (SW) drip irrigation (DI) is a sustainable method to meet these challenges. This dissertation shows with onsite data the low cost of SW pumping technologies correlating the water consumption (evapotranspiration) and the water production (SW pumping). The author designed, installed, and collected operating data from the six SWDI systems in Peru and in the Tohono O'odham Nation in AZ. The author developed, tested, and a simplified model for solar engineers to size SWDI systems. The author developed a business concept to scale up the SWDI technology. The outcome was a simplified design approach for a DI system powered by low cost SW pumping systems optimized based on the logged on site data. The optimization showed that the SWDI system is an income generating technology and that by increasing the crop production per unit area, it allowed small farmers to pay for the system. The efficient system resulted in increased yields, sometimes three to four fold. The system is a model for smallholder agriculture in developing countries and can increase nutrition and greater incomes for the world's poor.

Reducing greenhouse gas emissions in agriculture without compromising food security?

NASA Astrophysics Data System (ADS)

Frank, Stefan; Havlík, Petr; Soussana, Jean-François; Levesque, Antoine; Valin, Hugo; Wollenberg, Eva; Kleinwechter, Ulrich; Fricko, Oliver; Gusti, Mykola; Herrero, Mario; Smith, Pete; Hasegawa, Tomoko; Kraxner, Florian; Obersteiner, Michael

2017-10-01

To keep global warming possibly below 1.5 °C and mitigate adverse effects of climate change, agriculture, like all other sectors, will have to contribute to efforts in achieving net negative emissions by the end of the century. Cost-efficient distribution of mitigation across regions and economic sectors is typically calculated using a global uniform carbon price in climate stabilization scenarios. However, in reality such a carbon price would substantially affect food availability. Here, we assess the implications of climate change mitigation in the land use sector for agricultural production and food security using an integrated partial equilibrium modelling framework and explore ways of relaxing the competition between mitigation in agriculture and food availability. Using a scenario that limits global warming cost-efficiently across sectors to 1.5 °C, results indicate global food calorie losses ranging from 110-285 kcal per capita per day in 2050 depending on the applied demand elasticities. This could translate into a rise in undernourishment of 80-300 million people in 2050. Less ambitious greenhouse gas (GHG) mitigation in the land use sector reduces the associated food security impact significantly, however the 1.5 °C target would not be achieved without additional reductions outside the land use sector. Efficiency of GHG mitigation will also depend on the level of participation globally. Our results show that if non-Annex-I countries decide not to contribute to mitigation action while other parties pursue their mitigation efforts to reach the global climate target, food security impacts in these non-Annex-I countries will be higher than if they participate in a global agreement, as inefficient mitigation increases agricultural production costs and therefore food prices. Land-rich countries with a high proportion of emissions from land use change, such as Brazil, could reduce emissions with only a marginal effect on food availability. In contrast, agricultural mitigation in high population (density) countries, such as China and India, would lead to substantial food calorie loss without a major contribution to global GHG mitigation. Increasing soil carbon sequestration on agricultural land would allow reducing the implied calorie loss by 65% when sticking to the initially estimated land use mitigation requirements, thereby limiting the impact on undernourishment to 20-75 million people, and storing significant amounts of carbon in soils.

Trends in multi-pollutant emissions from a technology-linked inventory for India: II. Residential, agricultural and informal industry sectors

NASA Astrophysics Data System (ADS)

Pandey, Apoorva; Sadavarte, Pankaj; Rao, Anand B.; Venkataraman, Chandra

2014-12-01

Dispersed traditional combustion technologies, characterized by inefficient combustion and significant emissions, are widely used in residential cooking and "informal industries" including brick production, food and agricultural product processing operations like drying and cooking operations related to sugarcane juice, milk, food-grain, jute, silk, tea and coffee. In addition, seasonal agricultural residue burning in field is a discontinuous source of significant emissions. Here we estimate fuel consumption in these sectors and agricultural residue burned using detailed technology divisions and survey-based primary data for 2010 and projected between 1996 and 2015. In the residential sector, a decline in the fraction of solid biomass users for cooking from 79% in 1996 to 65% in 2010 was offset by a growing population, leading to a nearly constant population of solid biomass users, with a corresponding increase in the population of LPG users. Emissions from agriculture followed the growth in agricultural production and diesel use by tractors and pumps. Trends in emissions from the informal industries sector followed those in coal combustion in brick kilns. Residential biomass cooking stoves were the largest contributors to emissions of PM2.5, OC, CO, NMVOC and CH4. Highest emitting technologies of BC were residential kerosene wick lamps. Emissions of SO2 were largely from coal combustion in Bull's trench kilns and other brick manufacturing technologies. Diesel use in tractors was the major source of NOx emissions. Uncertainties in emission estimates were principally from highly uncertain emission factors, particularly for technologies in the informal industries.

INSPIA project: European Index for Sustainable and Productive Agriculture

NASA Astrophysics Data System (ADS)

Triviño-Tarradas, Paula; Jesús González-Sánchez, Emilio; Gómez-Ariza, Manuel; Rass, Gerard; Gardette, Sophie; Whitmore, Gavin; Dyson, Jeremy

2017-04-01

The concept of sustainable development has evolved from a mere perception for the protection of the environment, to a holistic approach, seeking to preserve not only the environment, but also to achieve sustainability in economics and social wellbeing. Globally, there is a major challenge to face in the agricultural sector: to produce more food, feed and other raw materials to satisfy the increasing demand of a growing population, whilst also contributing to economic prosperity, climate change mitigation / adaptation, social wellbeing and preserving natural capital such as soil, water, biodiversity and other ecosystem services. Nowadays, conventional approaches to agriculture are under threat. A more productive and resource efficient agriculture that integrates natural resource protection into its approach will help to meet all these challenges, enabling us to have more of everything - more food, more feed, more non-food crops, more biodiversity and natural habitats - while also reducing greenhouse gas emissions. In this context, INSPIA is an innovative approach that has worked since 2013 towards demonstration that sustainable productive agriculture is possible thanks to the implementation of a host of best management practices (BMPs) capable of delivering the above achievements. The purpose on INSPIA is to make visible with European decision makers that a sustainable and productive agricultural model exists in a small scale in Europe and that wider dissemination is possible with enabling legislation. INSPIA is demonstrating sustainable agriculture through the implementation of BMPs and the measurement and monitoring of a set of defined indicators (economic, social and environmental ones). INSPIA promotes sustainable practices that protect biodiversity, soils and water and contribute towards maintaining ecosystems services. This holistic sustainable system of productive agriculture is based on the combination of Conservation Agriculture (CA) and Integrated Pest Management (IPM). Therefore, the optimised use of agricultural technologies is considered to the extent they help farmers achieve their objectives, particularly their competitiveness. The principal BMPs flagged by CA that ensure biodiversity and environmental protection for a productive agriculture are based on minimum soil disturbance, permanent soil cover, and crop rotations. The project covers over 50 farms in Belgium, Denmark, France and Spain. INSPIA is promoting the uptake of sustainable agricultural practices throughout Europe by: • Raising awareness among EU policy stakeholders, technicians and farmers in favour of sustainable agriculture. • Recognition of farmers needs for helping dissemination of sustainable agriculture • Demonstrating that BMPs help to achieve sustainability in European agriculture. Provide a sustainable output graph based on a set of verifiable indicators; comparatives, evolution in time among others. • Consolidating a farm network in Belgium, Denmark, France and Spain to enable the validation, demonstration and communication of BMPs (first step), and extend this farm network to other countries (second step). Whereas the final objectives are: • Obtain adapted environmental and agricultural policies • Obtain recognition by farmers, decision makers and private sector of Sustainable Agriculture (Conservation Agriculture / ecological intensification with optimization across crop protection solutions) and of their operators (farmers in this system and their organizations / companies supportive)

Showing and Telling Farming: Agricultural Shows and Re-Imaging British Agriculture

ERIC Educational Resources Information Center

Holloway, Lewis

2004-01-01

Some actors in the ''mainstream'' agricultural sector are beginning to engage in strategies of influencing public perceptions of farming, responding to public anxieties over industrialised agriculture and to a supposed separation of non-farming publics from food production. This paper focuses on agricultural shows as sites and events central to…

Competences in Demand within the Spanish Agricultural Engineering Sector

ERIC Educational Resources Information Center

Perdigones, Alicia; Valera, Diego Luis; Moreda, Guillermo Pedro; García, Jose Luis

2014-01-01

The Rural Engineering Department (Technical University of Madrid) ran three competence surveys during the 2006-2007 and 2007-2008 academic years and evaluated: (1) the competences gained by agricultural engineer's degree and agricultural technical engineer's degree students (360 respondents); (2) the competences demanded by agricultural employers…

Chapter 3: Cropland Agriculture

USDA-ARS?s Scientific Manuscript database

In 2013, cropland agriculture resulted in total emissions of approximately 209 MMT CO2 eq. of greenhouse gases (GHG). Cropland agriculture is responsible for almost half (46%) of all emissions from the agricultural sector. Nitrous oxide (N2O), carbon dioxide (CO2), and methane (CH4) emissions from c...

Biofertilizers: a potential approach for sustainable agriculture development.

PubMed

Mahanty, Trishna; Bhattacharjee, Surajit; Goswami, Madhurankhi; Bhattacharyya, Purnita; Das, Bannhi; Ghosh, Abhrajyoti; Tribedi, Prosun

2017-02-01

The worldwide increase in human population raises a big threat to the food security of each people as the land for agriculture is limited and even getting reduced with time. Therefore, it is essential that agricultural productivity should be enhanced significantly within the next few decades to meet the large demand of food by emerging population. Not to mention, too much dependence on chemical fertilizers for more crop productions inevitably damages both environmental ecology and human health with great severity. Exploitation of microbes as biofertilizers is considered to some extent an alternative to chemical fertilizers in agricultural sector due to their extensive potentiality in enhancing crop production and food safety. It has been observed that some microorganisms including plant growth promoting bacteria, fungi, Cyanobacteria, etc. have showed biofertilizer-like activities in the agricultural sector. Extensive works on biofertilizers have revealed their capability of providing required nutrients to the crop in sufficient amounts that resulted in the enhancement of crop yield. The present review elucidates various mechanisms that have been exerted by biofertilizers in order to promote plant growth and also provides protection against different plant pathogens. The aim of this review is to discuss the important roles and applications of biofertilizers in different sectors including agriculture, bioremediation, and ecology.

Biomass of cocoa and sugarcane

NASA Astrophysics Data System (ADS)

Siswanto; Sumanto; Hartati, R. S.; Prastowo, B.

2017-05-01

The role of the agricultural sector is very important as the upstream addressing downstream sectors and national energy needs. The agricultural sector itself is also highly dependent on the availability of energy. Evolving from it then it must be policies and strategies for agricultural development Indonesia to forward particularly agriculture as producers as well as users of biomass energy or bioenergy for national development including agriculture balance with agriculture and food production. Exports of biomass unbridled currently include preceded by ignorance, indifference and the lack of scientific data and potential tree industry in the country. This requires adequate scientific supporting data. This study is necessary because currently there are insufficient data on the potential of biomass, including tree biomasanya detailing the benefits of bioenergy, feed and food is very necessary as a basis for future policy. Measurement of the main estate plants biomass such as cocoa and sugarcane be done in 2015. Measurements were also conducted on its lignocellulose content. Tree biomass sugarcane potential measured consist of leaves, stems and roots, with the weight mostly located on the stem. Nevertheless, not all the potential of the stem is a good raw material for bioethanol. For cocoa turned out leaves more prospective because of its adequate hemicellulose content. For sugarcane, leaf buds contain a good indicator of digestion of feed making it more suitable for feed.

Assessing effects of mitigation strategies for global climate change with an intertemporal model of the U.S. forest and agriculture sectors.

Treesearch

Ralph J. Alig; Darius M. Adams; Bruce McCarl; J.M. Callaway; Steven Winnett

1997-01-01

A model of product and land markets in U.S. forest and agricultural sectors is used to examine the private forest management, land use, and market implications of carbon sequestration policies implemented in a "least social cost" fashion. Results suggest: policy-induced land use changes may generate compensating land use shifts through markets: land use...

Daily Report, Supplement, East Europe

DTIC Science & Technology

1993-03-16

return for its natural riches. Fortunately, it also needs certain commodities, such as food , medicines, and equipment. For this reason we barter our...commodities and labor for some of the shipments. We are bartering food for deliv- eries of 1.5 billion cubic meters of the gas last year and Kolmex...intended to develop the private sector in agriculture, generally the agricultural- food sector. Everything connected with agri- culture—the refrigerator

Extension Strategies Used To Develop a Traditional Farming Sector in an Advanced Agricultural Surrounding. The Case of the Nazareth Region in Israel.

ERIC Educational Resources Information Center

Blum, Abraham

A case study of the Nazareth Region in Israel analyzed the extension strategies used to develop the traditional Arab farming sector in an advanced agricultural surrounding. As part of the study, the history of the Arab farmer before and after the creation of the State of Israel was given. The methodology for the study involved interviews with…

Flood damage modeling based on expert knowledge: Insights from French damage model for agricultural sector

NASA Astrophysics Data System (ADS)

Grelot, Frédéric; Agenais, Anne-Laurence; Brémond, Pauline

2015-04-01

In France, since 2011, it is mandatory for local communities to conduct cost-benefit analysis (CBA) of their flood management projects, to make them eligible for financial support from the State. Meanwhile, as a support, the French Ministry in charge of Environment proposed a methodology to fulfill CBA. Like for many other countries, this methodology is based on the estimation of flood damage. However, existing models to estimate flood damage were judged not convenient for a national-wide use. As a consequence, the French Ministry in charge of Environment launched studies to develop damage models for different sectors, such as: residential sector, public infrastructures, agricultural sector, and commercial and industrial sector. In this presentation, we aim at presenting and discussing methodological choices of those damage models. They all share the same principle: no sufficient data from past events were available to build damage models on a statistical analysis, so modeling was based on expert knowledge. We will focus on the model built for agricultural activities and more precisely for agricultural lands. This model was based on feedback from 30 agricultural experts who experienced floods in their geographical areas. They were selected to have a representative experience of crops and flood conditions in France. The model is composed of: (i) damaging functions, which reveal physiological vulnerability of crops, (ii) action functions, which correspond to farmers' decision rules for carrying on crops after a flood, and (iii) economic agricultural data, which correspond to featured characteristics of crops in the geographical area where the flood management project studied takes place. The two first components are generic and the third one is specific to the area studied. It is, thus, possible to produce flood damage functions adapted to different agronomic and geographical contexts. In the end, the model was applied to obtain a pool of damage functions giving damage in euros by hectare for 14 agricultural lands categories. As a conclusion, we will discuss the validation step of the model. Although the model was validated by experts, we analyse how it could gain insight from comparison with past events.

Flood damage modeling based on expert knowledge: Insights from French damage model for agricultural sector

NASA Astrophysics Data System (ADS)

Grelot, Frédéric; Agenais, Anne-Laurence; Brémond, Pauline

2014-05-01

In France, since 2011, it is mandatory for local communities to conduct cost-benefit analysis (CBA) of their flood management projects, to make them eligible for financial support from the State. Meanwhile, as a support, the French Ministry in charge of Environment proposed a methodology to fulfill CBA. Like for many other countries, this methodology is based on the estimation of flood damage. Howerver, existing models to estimate flood damage were judged not convenient for a national-wide use. As a consequence, the French Ministry in charge of Environment launched studies to develop damage models for different sectors, such as: residential sector, public infrastructures, agricultural sector, and commercial and industrial sector. In this presentation, we aim at presenting and discussing methodological choices of those damage models. They all share the same principle: no sufficient data from past events were available to build damage models on a statistical analysis, so modeling was based on expert knowledge. We will focus on the model built for agricultural activities and more precisely for agricultural lands. This model was based on feedback from 30 agricultural experts who experienced floods in their geographical areas. They were selected to have a representative experience of crops and flood conditions in France. The model is composed of: (i) damaging functions, which reveal physiological vulnerability of crops, (ii) action functions, which correspond to farmers' decision rules for carrying on crops after a flood, and (iii) economic agricultural data, which correspond to featured characteristics of crops in the geographical area where the flood management project studied takes place. The two first components are generic and the third one is specific to the area studied. It is, thus, possible to produce flood damage functions adapted to different agronomic and geographical contexts. In the end, the model was applied to obtain a pool of damage functions giving damage in euros by hectare for 14 agricultural lands categories. As a conclusion, we will discuss the validation step of the model. Although the model was validated by experts, we analyse how it could gain insight from comparison with past events.

Drought Characterisation Using Ground and Remote Sensing Data

NASA Astrophysics Data System (ADS)

Hore, Sudipta Kumar; Werner, Micha; Maskey, Shreedhar

2016-04-01

The North-West of Bangladesh is frequently affected by drought, which may have profound impacts to different water related sectors. The characterisation and identification of drought is, however, challenging. Despite several standard drought indices being available it is important that indicators proposed in support of an effective drought management are related to the impacts drought may have. In this study we present the characterisation of drought in the districts of Rajshahi and Rangpur in North-Western Bangladesh. Drought indicators were developed using available temperature, precipitation, river discharge and groundwater level data, as well as from remotely sensed NDVI data. We compare these indicators to records of drought impacts to agriculture, fisheries and migration collected from relevant organisations, as well as through interviews with key stakeholders, key informants, and community leaders. The analysis shows that droughts occur frequently, with nine occurrences in the last 42 years, as found using common meteorological drought indicators. NDVI data corroborated these events, despite being only available from 2001. The agricultural sector was adversely impacted in all events, with impacts correlated to drought severity. Impacts to the fisheries sector were, however, reported only three times, though impacts to fisheries are less well recorded. Interestingly, the good relationship between meteorological drought indicators and agricultural impacts weakens in the last decade. This appears to be due to the intensification of irrigation using groundwater, with the declining groundwater levels found in Rajshahi district suggesting overexploitation of the resource, and the increasing importance of groundwater drought indicators. The study reveals the drought indicators that are important to the agriculture and fisheries sectors, and also tentative threshold values at which drought start to impact these sectors. Such sector relevant drought indicators, as well as appropriate thresholds, can be useful in drought identification and management.

77 FR 55755 - Small Business Size Standards: Agriculture, Forestry, Fishing, and Hunting

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-11

...: Agriculture, Forestry, Fishing, and Hunting AGENCY: U.S. Small Business Administration. ACTION: Proposed rule... for 11 industries in North American Industry Classification System (NAICS) Sector 11, Agriculture... standards was published in the Federal Register on July 18, 2008 (73 FR 41237). NAICS 11, Agriculture...

Human Resource Development for Modernizing the Agricultural Workforce

ERIC Educational Resources Information Center

Rivera, William M.; Alex, Gary E.

2008-01-01

Greater commercialization of agricultural systems and increasing trade liberalization dictate the need for better capacity on the part of the agriculture workforce in the 21st century. Global changes in the roles of the public and private sectors and the dramatic advancements in technology have also strongly affected agricultural workforce…

Global Transformations and Agriculture.

ERIC Educational Resources Information Center

Campbell, Rex R.

1990-01-01

Examines worldwide political, economic, and social transformations and their impact on agriculture, focusing on biotechnology. Discusses rise of international corporations and accompanying constraints on government power. Sees trend toward increasing agribusiness role in world food and agricultural sectors. Calls for broader views and research in…

Estimating farmers' willingness to pay for climate change adaptation: the case of the Malaysian agricultural sector.

PubMed

Masud, Muhammad Mehedi; Junsheng, Ha; Akhtar, Rulia; Al-Amin, Abul Quasem; Kari, Fatimah Binti

2015-02-01

This paper estimates Malaysian farmers' willingness to pay (WTP) for a planned adaptation programme for addressing climate issues in the Malaysian agricultural sector. We used the contingent valuation method (CVM) for a monetary valuation of farmers' preferences for a planned adaptation programme by ascertaining the value attached to address climatic issues in the Malaysian agricultural sector. Structured questionnaires were distributed among the sampled farmers. The study found that 74 % of respondents were willing to pay for a planned adaptation programme and that several socioeconomic and motivation factors have greater influence on their WTP. This paper clearly specifies the steps needed for all institutional bodies to better address issues in climate change. The outcomes of this paper will support policy makers to better design an efficient adaptation framework for adapting to the adverse impacts of climate change.

Reduction potential, shadow prices, and pollution costs of agricultural pollutants in China.

PubMed

Tang, Kai; Gong, Chengzhu; Wang, Dong

2016-01-15

This paper analyses the reduction potential, shadow prices, and pollution costs of agricultural pollutants in China based on provincial panel data for 2001-2010. Using a parameterized quadratic form for the directional output distance function, we find that if agricultural sectors in all provinces were to produce on the production frontier, China could potentially reduce agricultural emissions of chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) by 16.0%, 16.2%, and 20.4%, respectively. Additionally, our results show that the shadow price of TN increased rapidly and continuously, while that of COD and TP fluctuated for the whole period. For the whole country, the average shadow price of COD, TN, and TP are 8266 Yuan/tonne, 25,560 Yuan/tonne, and 10,160 Yuan/tonne, respectively. The regional shadow prices of agricultural pollutants are unbalanced. Furthermore, we show that the pollution costs from emissions of COD, TN, and TP are 6.09% of the annual gross output value of the agricultural sector and are highest in the Western and lowest in the Eastern provinces. Our estimates suggest that there is scope for further pollution abatement and simultaneous output expansion for China's agriculture if farmers promote greater efficiency in their production process. Policymakers are required to dynamically adjust the pollution tax rates and ascertain the initial permit price in an emission trading system. Policymakers should also consider the different pollution costs for each province when making the reduction allocations within the agricultural sector. Copyright © 2015 Elsevier B.V. All rights reserved.

Which environmental problems get policy attention? Examining energy and agricultural sector policies in Sweden

DOE Office of Scientific and Technical Information (OSTI.GOV)

Engstroem, Rebecka; Nilsson, Mans; Finnveden, Goeran

2008-05-15

Not all environmental problems get the same level of policy attention. An interesting question is thus why certain aspects receive attention and others do not. This paper studies the level of policy attention given to different environmental aspects in agriculture and energy policy in Sweden and explores empirically some factors that can explain the level of attention. The first step was to explore the link between environmental issue characteristics and the level of policy attention. The level of policy attention was measured through a content analysis of Swedish government bills. The results from the content analysis are clear and stablemore » over the studied time period. In the agriculture sector biodiversity and toxicity are in focus whereas in the energy sector climate change and resources are given the attention. Besides these aspects, the attention is limited. These results were compared with the results from sector-wide environmental assessments of the same sectors. These assessments were based on hybrid input-output analysis and life cycle assessment methodologies. A main finding from the study is that issue importance is a necessary but not a sufficient condition for policy attention. Other explanations are needed to understand which environmental issues get attention in sectoral policy. Our assessment showed that while the level of knowledge does not provide an explanation, the presence of strong and well-organised stakeholders within the sector, with an interest in having a certain issue on the agenda, might be decisive for issue attention. Path dependency and limited attention capacity are other important factors.« less

Development of a resource protection and waste strategy for water use by the agricultural sector.

PubMed

Ligthelm, M E; Ranwedzi, R; Morokane, M; Senne, M

2007-01-01

The South African Department of Water Affairs and Forestry (DWAF) has started developing a strategy to regulate activities and water uses by the agricultural sector that could impact on the water resource quality. The aim would not be to over-regulate the sector, but to protect the water resource where necessary. Most of these activities constitute diffuse sources of potential pollution. The strategic process will start with investigative discussions with major stakeholders and determining the strategic context and current situation. The latter will consist of a detailed literature and stakeholder survey, and an evaluation of existing agricultural activities. The next steps of determining a vision and the setting of strategic objectives will be done with active participation by the major players. An action plan will be developed to achieve the set objectives. Important components of the strategy will be to: classify activities according to their risk to the water resource, taking into account the sensitivity of the water resource; set regulatory measures in accordance with the risk posed by the activity (measures could include the promulgation of regulations, general authorisations and/or issuing of licenses); harmonise and link the process with existing relevant processes and guidelines within DWAF and other government departments; review existing guidelines; sign agreements with relevant government departments and the agricultural sector; and provide training, built capacity and raise awareness during and after the process.

UK emissions of the greenhouse gas nitrous oxide

PubMed Central

Skiba, U.; Jones, S. K.; Dragosits, U.; Drewer, J.; Fowler, D.; Rees, R. M.; Pappa, V. A.; Cardenas, L.; Chadwick, D.; Yamulki, S.; Manning, A. J.

2012-01-01

Signatories of the Kyoto Protocol are obliged to submit annual accounts of their anthropogenic greenhouse gas emissions, which include nitrous oxide (N2O). Emissions from the sectors industry (3.8 Gg), energy (14.4 Gg), agriculture (86.8 Gg), wastewater (4.4 Gg), land use, land-use change and forestry (2.1 Gg) can be calculated by multiplying activity data (i.e. amount of fertilizer applied, animal numbers) with simple emission factors (Tier 1 approach), which are generally applied across wide geographical regions. The agricultural sector is the largest anthropogenic source of N2O in many countries and responsible for 75 per cent of UK N2O emissions. Microbial N2O production in nitrogen-fertilized soils (27.6 Gg), nitrogen-enriched waters (24.2 Gg) and manure storage systems (6.4 Gg) dominate agricultural emission budgets. For the agricultural sector, the Tier 1 emission factor approach is too simplistic to reflect local variations in climate, ecosystems and management, and is unable to take into account some of the mitigation strategies applied. This paper reviews deviations of observed emissions from those calculated using the simple emission factor approach for all anthropogenic sectors, briefly discusses the need to adopt specific emission factors that reflect regional variability in climate, soil type and management, and explains how bottom-up emission inventories can be verified by top-down modelling. PMID:22451103

Landsat and agriculture—Case studies on the uses and benefits of Landsat imagery in agricultural monitoring and production

USGS Publications Warehouse

Leslie, Colin R.; Serbina, Larisa O.; Miller, Holly M.

2017-03-29

Executive SummaryThe use of Landsat satellite imagery for global agricultural monitoring began almost immediately after the launch of Landsat 1 in 1972, making agricultural monitoring one of the longest-standing operational applications for the Landsat program. More recently, Landsat imagery has been used in domestic agricultural applications as an input for field-level production management. The enactment of the U.S. Geological Survey’s free and open data policy in 2008 and the launch of Landsat 8 in 2013 have both influenced agricultural applications. This report presents two primary sets of case studies on the applications and benefits of Landsat imagery use in agriculture. The first set examines several operational applications within the U.S. Department of Agriculture (USDA) and the second focuses on private sector applications for agronomic management.  Information on the USDA applications is provided in the U.S. Department of Agriculture Uses of Landsat Imagery for Global and Domestic Agricultural Monitoring section of the report in the following subsections:Estimating Crop Production.—Provides an overview of how Landsat satellite imagery is used to estimate crop production, including the spectral bands most frequently utilized in this application.Monitoring Consumptive Water Use.—Highlights the role of Landsat imagery in monitoring consumptive water use for agricultural production. Globally, a significant amount of agricultural production relies on irrigation, so monitoring water resources is a critical component of agricultural monitoring. National Agricultural Statistics Service—Cropland Data Layer.—Highlights the use of Landsat imagery in developing the annual Cropland Data Layer, a crop-specific land cover classification product that provides information on more than 100 crop categories grown in the United States. Foreign Agricultural Service—Global Agricultural Monitoring.—Highlights Landsat’s role in monitoring global agricultural production. The USDA has been using Landsat imagery to monitor global agricultural production since the launch of Landsat 1 in 1972. Landsat imagery provides objective, global input for a number of USDA agricultural programs and plays an important role in economic and food security forecasting.U.S. Department of Agriculture—Satellite Imagery Archive.—Highlights a number of the experiences of the USDA in acquiring, sharing, and managing moderate resolution imagery to support the diversity of USDA operational programs. Private sector applications using Landsat imagery for agricultural management are discussed in the Landsat Imagery Use and Benefits in Field-Level Agricultural Production Management section of the report in the following subsections:Field-Level Management.—Provides an introduction to what field-level production management is and how it can be applied to agricultural management. This section explores the concept of zone mapping and how Landsat imagery can be used to identify different conditions within a field. The section also provides a case study of zone-mapping software, developed by GK Technology, Inc., that is used by numerous agricultural consultants.Putting Zone Maps to Work.—Highlights several case studies of private agricultural consultants who have been using Landsat imagery to develop zone maps for farmers. Landsat imagery is helping consultants and farmers optimize agricultural inputs, including fertilizer and seed, which leads to higher yield and economic return for the farmer.Increasing Yield.—Highlights the primary benefit of zone mapping using Landsat imagery. Using 5-year market average prices for a number of commodities, this section provides examples of how yield increases translate into higher returns for farmers.

Market assessment of photovoltaic power systems for agricultural applications in the Philippines

NASA Technical Reports Server (NTRS)

Cabraal, R. A.; Delasanta, D.; Burrill, G.

1981-01-01

The market potential in the Philippines for stand alone photovoltaic (P/V) systems in agriculture was assessed. Applications include: irrigation, postharvest operation, food and fiber processing and storage, and livestock and fisheries operations. Power and energy use profiles for many applications as well as assessments of business, government and financial climate for P/V sales are described. Many characteristics of the Philippine agriculture and energy sector favorably influence the use of P/V systems. However, serious and significant barriers prevent achieving the technically feasible, cost competitive market for P/V systems in the agricultural sector. The reason for the small market is the limited availability capital for financing P/V systems. It is suggested that innovative financing schemes and promotional campaigns should be devised.

Market assessment of photovoltaic power systems for agricultural applications in the Philippines

NASA Astrophysics Data System (ADS)

Cabraal, R. A.; Delasanta, D.; Burrill, G.

1981-04-01

The market potential in the Philippines for stand alone photovoltaic (P/V) systems in agriculture was assessed. Applications include: irrigation, postharvest operation, food and fiber processing and storage, and livestock and fisheries operations. Power and energy use profiles for many applications as well as assessments of business, government and financial climate for P/V sales are described. Many characteristics of the Philippine agriculture and energy sector favorably influence the use of P/V systems. However, serious and significant barriers prevent achieving the technically feasible, cost competitive market for P/V systems in the agricultural sector. The reason for the small market is the limited availability capital for financing P/V systems. It is suggested that innovative financing schemes and promotional campaigns should be devised.

Technology choice and development in Brazil: An assessment of Brazil's alternative fuel program and the agriculture, manufacturing, energy, and service sectors

NASA Astrophysics Data System (ADS)

Nolan, Lucy A.

Technology choice profoundly affects a country's development process because capital-intensive and labor-intensive technologies have different socioeconomic linkages within the economy. This research examines the impacts of technology choice through the use of a social accounting matrix (SAM) framework. SAM-based modeling determines the direct and indirect effects of technology choice on development, particularly poverty alleviation in Brazil. Brazil's alternative fuel program was analyzed as a special example of technology choice. Two ethanol production technologies and the gasoline sector were compared; to make the study more robust, labor and capital intensive technologies were evaluated in the production of agriculture, manufacturing, energy, and services. Growth in these economic sectors was examined to assess the effects on employment, factor and household income, energy intensity, and carbon dioxide costs. Poverty alleviation was a focus, so income to unskilled agriculture labor, unskilled non-agriculture labor, and income to rural and urban households in poverty was also analyzed. The major research finding is that overall, labor-intensive technologies generate more employment, factor and household income, environmental and energy benefits to Brazil's economy than capital-intensive technologies. In addition, labor-intensive technologies make a particular contribution to poverty alleviation. The results suggest that policies to encourage the adoption of these technologies, especially in the agriculture and renewable energy sectors, are important because of their intersectoral linkages within the economy. Many studies have shown that Brazil's fuel ethanol program has helped to realize multiple macroeconomic objectives. However, this is the first empirical study to quantify its household income effects. The ethanol industry generated the most household income of the energy sectors. The research confirms a key finding of the appropriate technology literature, namely that government policies are important to the implementation of labor-intensive technologies. Finally, this research makes two important contributions to the SAM methodology. It is one of the first SAM modeling exercises to quantify the costs of carbon dioxide emissions and the impact of alternative fuels on regional and human development. The addition of an environmental sector enables the planner to determine carbon dioxide effects resulting from growth in different socioeconomic sectors. This will have implications for greenhouse gas mitigation strategies.

The Kuznets process in Malaysia.

PubMed

Randolph, S

1990-10-01

This study looks at how the Kuznets process, the structural determinants of the aggregate inequality trend during the course of economic development, is transpiring in Malaysia. A time-series test of Kuznets's hypothesis concerning the trend in participation income in the course of economic growth and its underlying structural components is conducted using data from the Malaysian Family Life Survey. The study covers the period 1968-76 during which the equalizing phase of growth was expected to take hold. Analysis determined that while many of the underlying processes which Kuznets speculated combined to generate the aggregate trend in participation income are at work in Malaysia, others are either absent or their phasing has been altered. The equalizing phase in the course of development has been delayed in arriving. Inequality in the nonagricultural sector exceeded that in the agricultural sector, and the wage gap which opened during the early phase of development declined with further development. These findings conform with Kuznets's expectations. Available time-series evidence from other currently developing countries suggests that inequality is typically higher in the nonagricultural sector during the early phase of development and that an increasing and subsequently decreasing between-sector wage gap is a broadly shared experience. This study's findings also support Kuznets's expectation that inequality within the agricultural sector can worsen in the face of dualistic agricultural development. Finally, Malaysia's trend in inequality within the nonagricultural sector exerted the greatest influence upon the aggregate trend in inequality per Kuznets's hypothesis.

Mechanical analysis of the dry stone walls built by the Incas

NASA Astrophysics Data System (ADS)

Castro, Jaime; Vallejo, Luis E.; Estrada, Nicolas

2017-06-01

In this paper, the retaining walls in the agricultural terraces built by the Incas are analyzed from a mechanical point of view. In order to do so, ten different walls from the Lower Agricultural Sector of Machu Picchu, Perú, were selected using images from Google Street View and Google Earth Pro. Then, these walls were digitalized and their mechanical stability was evaluated. Firstly, it was found that these retaining walls are characterized by two distinctive features: disorder and a block size distribution with a large size span, i.e., the particle size varies from blocks that can be carried by one person to large blocks weighing several tons. Secondly, it was found that, thanks to the large span of the block size distribution, the factor of safety of the Inca retaining walls is remarkably close to those that are recommended in modern geotechnical design standards. This suggests that these structures were not only functional but also highly optimized, probably as a result of a careful trial and error procedure.

An Analysis of the Impact of Heat Waves in Labor and Crop Productivity in the Agricultural Sector in California

NASA Astrophysics Data System (ADS)

Castillo, F.; Wehner, M. F.; Gilless, J. K.

2017-12-01

California agriculture is an important economic activity for the state. California leads the nation in farms sales since 1950. In addition, agricultural employment in California reached approximately 410,000. Production of many fruits and vegetables is labor intensive and labor costs represent anywhere from 20% to 40% of total production costs. In additon, agricutlural production growth has been the highest for labor intensive crops such as berries (all types) and nuts. Given the importance of the agricultural sector and the labor component whithin it, the analysis of the impact of climate change on the agricultural sector of California becomes imperative. Heat waves are a weather related extreme that impact labor productivity, specially outdoor labor producitivity. We use crop production function analysis that incorporates socio economic variables such as crop prices, total acreage, production levels and harvest timiline with climate related variables such as an estimated Heat Index (HI) to analize the impact of heat waves on crop production via an impact on labor productivity for selected crops in the Central and Imperial Valleys in California. The analysis finds that the impact of heat waves varies by the degree of labor intensity of the crop and the relative intensity of the heat wave.

TRACKING THE EMISSION OF CARBON DIOXIDE BY NATION, SECTOR, AND FUEL TYPE: A TRACE GAS ACCOUNTING SYSTEM (TGAS)

EPA Science Inventory

The paper describes a new way to estimate an efficient econometric model of global emissions of carbon dioxide (CO2) by nation, sector, and fuel type. Equations for fuel intensity are estimated for coal, oil, natural gas, electricity, and heat for six sectors: agricultural, indus...

Developing an Integrated Information System for the Food Sector. Agricultural Economic Report No. 575.

ERIC Educational Resources Information Center

Manchester, Alden

This document proposes an information system for the food sector that integrates measures of prices, quantities, and values. It suggests that such an integrated information system provides more information about many developments in the food sector than a system that separately measures prices, quantities, or values. Concepts and approaches…

How Critical Is Critical Infrastructure?

DTIC Science & Technology

2015-09-01

electrical power, telecommunications, transportation, petroleum liquid , or natural gas as shown in Figure 34 from the National Infrastructure Protection...Natural Gas Segment  Food and Agriculture Sector  Government facilities Sector  Healthcare and Public Health Sector  Information Technology...514 religious meeting places, 127 gas 69 “Current United States GDP,” 2015, http

Net farm income and land use under a U.S. greenhouse gas cap and trade

Treesearch

Justin S. Baker; Bruce A. McCarl; Brian C. Murray; Steven K. Rose; Ralph J. Alig; Darius Adams; Greg Latta; Robert Beach; Adam Daigneault

2010-01-01

During recent years, the U.S. agricultural sector has experienced high prices for energy related inputs and commodities, and a rapidly developing bioenergy market. Greenhouse gas (GHG) emissions mitigation would further alter agricultural markets and increase land competition in forestry and agriculture by shifting input costs, creating an agricultural GHG abatement...

Recipe for a Better Tomorrow: A Food Industry Perspective on Sustainability and Our Food System.

PubMed

Wasserman, Arlin

2009-07-01

The food and agriculture sector is central to efforts to improve public health today and protect and restore natural systems necessary to support good health in the future. The sector has a greater direct impact on land and water resources, employment, and economic activity than any other. And, from a finite resource base, it is underpinning not only food and fiber production but is increasingly relied upon to provide the raw materials for energy, building materials, packaging, and nonfood consumable products. This commentary reviews consumer attitudes and the transformational changes required in the food and agriculture sector to meet today's needs and ensure a better tomorrow.

Recipe for a Better Tomorrow: A Food Industry Perspective on Sustainability and Our Food System

PubMed Central

Wasserman, Arlin

2009-01-01

The food and agriculture sector is central to efforts to improve public health today and protect and restore natural systems necessary to support good health in the future. The sector has a greater direct impact on land and water resources, employment, and economic activity than any other. And, from a finite resource base, it is underpinning not only food and fiber production but is increasingly relied upon to provide the raw materials for energy, building materials, packaging, and nonfood consumable products. This commentary reviews consumer attitudes and the transformational changes required in the food and agriculture sector to meet today's needs and ensure a better tomorrow. PMID:23144679

International Agricultural Trade and Policy: Issues and Implications for U.S. Agriculture. Texas Agricultural Market Research Center Special Series Report No. SS-2-89.

ERIC Educational Resources Information Center

Williams, Gary W.

Historical events have set the stage for the current U.S. agricultural export performance. Agricultural exports in the early 1990s were as large or larger relative to the size of the agricultural sector than at any time since. A dramatic decrease in net farm income was caused by the Great Depression (1929-1932). Following passage of the…

Vulnerability of Agriculture to Climate Change as Revealed by Relationships between Simulated Crop Yield and Climate Change Indices

NASA Astrophysics Data System (ADS)

King, A. W.; Absar, S. M.; Nair, S.; Preston, B. L.

2012-12-01

The vulnerability of agriculture is among the leading concerns surrounding climate change. Agricultural production is influenced by drought and other extremes in weather and climate. In regions of subsistence farming, worst case reductions in yield lead to malnutrition and famine. Reduced surplus contributes to poverty in agrarian economies. In more economically diverse and industrialized regions, variations in agricultural yield can influence the regional economy through market mechanisms. The latter grows in importance as agriculture increasingly services the energy market in addition to markets for food and fiber. Agriculture is historically a highly adaptive enterprise and will respond to future changes in climate with a variety of adaptive mechanisms. Nonetheless, the risk, if not expectation, of increases in climate extremes and hazards exceeding historical experience motivates scientifically based anticipatory assessment of the vulnerability of agriculture to climate change. We investigate the sensitivity component of that vulnerability using EPIC, a well established field-scale model of cropping systems that includes the simulation of economic yield. The core of our analysis is the relationship between simulated yield and various indices of climate change, including the CCI/CLIVAR/JCOM ETCCDI indices, calculated from weather inputs to the model. We complement this core with analysis using the DSSAT cropping system model and exploration of relationships between historical yield statistics and climate indices calculated from weather records. Our analyses are for sites in the Southeast/Gulf Coast region of the United States. We do find "tight" monotonic relationships between annual yield and climate for some indices, especially those associated with available water. More commonly, however, we find an increase in the variability of yield as the index value becomes more extreme. Our findings contribute to understanding the sensitivity of crop yield as part of vulnerability analysis. They also contribute to considerations of adaptation, focusing attention on adapting to increased variability in yield rather than just reductions in yield. For example, in the face of increased variability or reduced reliability, hedging and risk spreading strategies may be more important than technological innovations such as drought-resistant crops or other optimization strategies. Our findings also have implications for the choice and application of climate extreme indices, demands on models used to project climate change and the development of next generation integrated assessment models (IAM) that incorporate the agricultural sector, and especially adaption within that sector, in energy and broader more general markets.

7 CFR 3018.105 - Definitions.

Code of Federal Regulations, 2010 CFR

2010-01-01

... services in the private sector. (o) Recipient includes all contractors, subcontractors at any tier, and... 7 Agriculture 15 2010-01-01 2010-01-01 false Definitions. 3018.105 Section 3018.105 Agriculture... AGRICULTURE NEW RESTRICTIONS ON LOBBYING General § 3018.105 Definitions. For purposes of this part: (a) Agency...

U.S. Heat Demand by Sector for Potential Application of Direct Use Geothermal

DOE Data Explorer

Katherine Young

2016-06-23

This dataset includes heat demand for potential application of direct use geothermal broken down into 4 sectors: agricultural, commercial, manufacturing and residential. The data for each sector are organized by county, were disaggregated specifically to assess the market demand for geothermal direct use, and were derived using methodologies customized for each sector based on the availability of data and other sector-specific factors. This dataset also includes a paper containing a full explanation of the methodologies used.

Highlights of NASA/DOE photovoltaics market assessment visit to Colombia

NASA Technical Reports Server (NTRS)

1981-01-01

A NASA/DOE sponsored photovoltaic market assessment team composed of representatives of NASA-Lewis Research Center, DHR, Inc., and Associates in Rural Development, Inc. recently conducted a month-long study in Colombia (June 28 - July 23). The team contacted government officials and private sector representatives in Bogota and Cali, and visited rural development and agricultural sites in the departments of Cundinamarca, Caldas, Valle, and chada to determine the potential market for American photovoltaic products in the Colombia agricultural and rural sectors.

[Colombian migration to the Venezuelan agrarian sector: a binational context].

PubMed

Mora, J; Gomez, A

1980-01-01

The authors attempt to determine the reasons for the chronic national labor shortage in the Venezuelan agrarian sector and for the large-scale emigration of Colombians to work in Venezuelan agriculture. The income of agricultural wage earners and the conditions of labor force reproduction in Venezuela are discussed as factors contributing to the labor shortage. With reference to Colombia, the rapid growth of international commerce and the policy of limiting wages are suggested as factors which contribute to emigration

Brief history of agricultural systems modeling.

PubMed

Jones, James W; Antle, John M; Basso, Bruno; Boote, Kenneth J; Conant, Richard T; Foster, Ian; Godfray, H Charles J; Herrero, Mario; Howitt, Richard E; Janssen, Sander; Keating, Brian A; Munoz-Carpena, Rafael; Porter, Cheryl H; Rosenzweig, Cynthia; Wheeler, Tim R

2017-07-01

Agricultural systems science generates knowledge that allows researchers to consider complex problems or take informed agricultural decisions. The rich history of this science exemplifies the diversity of systems and scales over which they operate and have been studied. Modeling, an essential tool in agricultural systems science, has been accomplished by scientists from a wide range of disciplines, who have contributed concepts and tools over more than six decades. As agricultural scientists now consider the "next generation" models, data, and knowledge products needed to meet the increasingly complex systems problems faced by society, it is important to take stock of this history and its lessons to ensure that we avoid re-invention and strive to consider all dimensions of associated challenges. To this end, we summarize here the history of agricultural systems modeling and identify lessons learned that can help guide the design and development of next generation of agricultural system tools and methods. A number of past events combined with overall technological progress in other fields have strongly contributed to the evolution of agricultural system modeling, including development of process-based bio-physical models of crops and livestock, statistical models based on historical observations, and economic optimization and simulation models at household and regional to global scales. Characteristics of agricultural systems models have varied widely depending on the systems involved, their scales, and the wide range of purposes that motivated their development and use by researchers in different disciplines. Recent trends in broader collaboration across institutions, across disciplines, and between the public and private sectors suggest that the stage is set for the major advances in agricultural systems science that are needed for the next generation of models, databases, knowledge products and decision support systems. The lessons from history should be considered to help avoid roadblocks and pitfalls as the community develops this next generation of agricultural systems models.

Brief history of agricultural systems modeling

DOE PAGES

Jones, James W.; Antle, John M.; Basso, Bruno; ...

2017-06-21

Agricultural systems science generates knowledge that allows researchers to consider complex problems or take informed agricultural decisions. The rich history of this science exemplifies the diversity of systems and scales over which they operate and have been studied. Modeling, an essential tool in agricultural systems science, has been accomplished by scientists from a wide range of disciplines, who have contributed concepts and tools over more than six decades. As agricultural scientists now consider the "next generation" models, data, and knowledge products needed to meet the increasingly complex systems problems faced by society, it is important to take stock of thismore » history and its lessons to ensure that we avoid re-invention and strive to consider all dimensions of associated challenges. To this end, we summarize here the history of agricultural systems modeling and identify lessons learned that can help guide the design and development of next generation of agricultural system tools and methods. A number of past events combined with overall technological progress in other fields have strongly contributed to the evolution of agricultural system modeling, including development of process-based bio-physical models of crops and livestock, statistical models based on historical observations, and economic optimization and simulation models at household and regional to global scales. Characteristics of agricultural systems models have varied widely depending on the systems involved, their scales, and the wide range of purposes that motivated their development and use by researchers in different disciplines. Recent trends in broader collaboration across institutions, across disciplines, and between the public and private sectors suggest that the stage is set for the major advances in agricultural systems science that are needed for the next generation of models, databases, knowledge products and decision support systems. Furthermore, the lessons from history should be considered to help avoid roadblocks and pitfalls as the community develops this next generation of agricultural systems models.« less

Brief history of agricultural systems modeling

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jones, James W.; Antle, John M.; Basso, Bruno

Agricultural systems science generates knowledge that allows researchers to consider complex problems or take informed agricultural decisions. The rich history of this science exemplifies the diversity of systems and scales over which they operate and have been studied. Modeling, an essential tool in agricultural systems science, has been accomplished by scientists from a wide range of disciplines, who have contributed concepts and tools over more than six decades. As agricultural scientists now consider the "next generation" models, data, and knowledge products needed to meet the increasingly complex systems problems faced by society, it is important to take stock of thismore » history and its lessons to ensure that we avoid re-invention and strive to consider all dimensions of associated challenges. To this end, we summarize here the history of agricultural systems modeling and identify lessons learned that can help guide the design and development of next generation of agricultural system tools and methods. A number of past events combined with overall technological progress in other fields have strongly contributed to the evolution of agricultural system modeling, including development of process-based bio-physical models of crops and livestock, statistical models based on historical observations, and economic optimization and simulation models at household and regional to global scales. Characteristics of agricultural systems models have varied widely depending on the systems involved, their scales, and the wide range of purposes that motivated their development and use by researchers in different disciplines. Recent trends in broader collaboration across institutions, across disciplines, and between the public and private sectors suggest that the stage is set for the major advances in agricultural systems science that are needed for the next generation of models, databases, knowledge products and decision support systems. Furthermore, the lessons from history should be considered to help avoid roadblocks and pitfalls as the community develops this next generation of agricultural systems models.« less

Brief History of Agricultural Systems Modeling

NASA Technical Reports Server (NTRS)

Jones, James W.; Antle, John M.; Basso, Bruno O.; Boote, Kenneth J.; Conant, Richard T.; Foster, Ian; Godfray, H. Charles J.; Herrrero, Mario; Howitt, Richard E.; Janssen, Sandor;

Agriculture and nutrition in India: mapping evidence to pathways.

PubMed

Kadiyala, Suneetha; Harris, Jody; Headey, Derek; Yosef, Sivan; Gillespie, Stuart

2014-12-01

In India, progress against undernutrition has been slow. Given its importance for income generation, improving diets, care practices, and maternal health, the agriculture sector is widely regarded as playing an important role in accelerating the reduction in undernutrition. This paper comprehensively maps existing evidence along agriculture-nutrition pathways in India and assesses both the quality and coverage of the existing literature. We present a conceptual framework delineating six key pathways between agriculture and nutrition. Three pathways pertain to the nutritional impacts of farm production, farm incomes, and food prices. The other three pertain to agriculture-gender linkages. After an extensive search, we found 78 research papers that provided evidence to populate these pathways. The literature suggests that Indian agriculture has a range of important influences on nutrition. Agriculture seems to influence diets even when controlling for income, and relative food prices could partly explain observed dietary changes in recent decades. The evidence on agriculture-gender linkages to nutrition is relatively weak. Sizeable knowledge gaps remain. The root causes of these gaps include an interdisciplinary disconnect between nutrition and economics/agriculture, a related problem of inadequate survey data, and limited policy-driven experimentation. Closing these gaps is essential to strengthening the agriculture sector's contribution to reducing undernutrition. © 2014 New York Academy of Sciences.

[Application of extended exergy method in driving mechanism and efficiency of regional eco-economy].

PubMed

Fan, Xin Gang; Mi, Wen Bao; Hou, Jing Wei

2017-01-01

To analyze social-economic causes of the regional ecological degradation, and avoid such problems as the complex circulation network and difficulty to identify laws caused by extended exergy analysis (EEA) previously applied at the national scale, this paper reduced spatial scale to the county scale and took Pengyang County in Ningxia as an example. Eco-economic system in Peng-yang County was divided into seven interrelated sectors. The exergy value of circulations in the eco-economic system including materials, labor and capital were calculated respectively to analyze the extended exergy characteristics of the driving sectors, factors and paths and evaluate their ecological efficiency. The results showed that agriculture and households were the main driving sectors of the eco-economic system in Pengyang County. The average exergy value of 31 flow paths among the sectors was 0.80 PJ. There were only 8 flow paths whose exergy values were higher than the average value. Eco-economic system in Pengyang County development was driven by two continuous flow paths, labor output of the households sector and demands of the households sector supported by other sectors. The mineral resources were massively exploited, and then directly exported to the outside, which could not promote the local development from the inside, but, on the contrary, increase the ecological environment pressure because of the over-exploitation. The eco-efficiency of Pengyang County in 2014 was 68.1%, almost equivalent to the by-level of the national scale at home and abroad ten years ago, mainly because of the lower eco-efficiencies of the service sector and households sector. EEA had the advantage of networking and structuring, could specify the sectors, factors and driven paths, and break through the bottleneck of driving mechanism research of the eco-economic system. EEA had certain adaptability to explore the operational principle and optimal pattern of the regional eco-economic system. Compared with the national scale, EEA at the regional scale could more easily identify the driving mechanism of eco-economic system, and could clearly guide the regional administrative department to reduce the ecological environment pressure.

European scale climate information services for water use sectors

NASA Astrophysics Data System (ADS)

van Vliet, Michelle T. H.; Donnelly, Chantal; Strömbäck, Lena; Capell, René; Ludwig, Fulco

2015-09-01

This study demonstrates a climate information service for pan-European water use sectors that are vulnerable to climate change induced hydrological changes, including risk and safety (disaster preparedness), agriculture, energy (hydropower and cooling water use for thermoelectric power) and environment (water quality). To study the climate change impacts we used two different hydrological models forced with an ensemble of bias-corrected general circulation model (GCM) output for both the lowest (2.6) and highest (8.5) representative concentration pathways (RCP). Selected indicators of water related vulnerability for each sector were then calculated from the hydrological model results. Our results show a distinct north-south divide in terms of climate change impacts; in the south the water availability will reduce while in the north water availability will increase. Across different climate models precipitation and streamflow increase in northern Europe and decrease in southern Europe, but the latitude at which this change occurs varies depending on the GCM. Hydrological extremes are increasing over large parts of Europe. The agricultural sector will be affected by reduced water availability (in the south) and increased drought. Both streamflow and soil moistures droughts are projected to increase in most parts of Europe except in northern Scandinavia and the Alps. The energy sector will be affected by lower hydropower potential in most European countries and reduced cooling water availability due to higher water temperatures and reduced summer river flows. Our results show that in particular in the Mediterranean the pressures are high because of increasing drought which will have large impacts on both the agriculture and energy sectors. In France and Italy this is combined with increased flood hazards. Our results show important impacts of climate change on European water use sectors indicating a clear need for adaptation.

Estimating Drought Thresholds for Wheat in the Canadian Prairies Using Remote Sensing Products

NASA Astrophysics Data System (ADS)

Munoz Hernandez, A.

2013-12-01

Droughts affect millions of people around the world, and depending on their duration and intensity, crops, cattle, and ecosystems can be decimated. One of the most susceptible economic sectors to drought is agriculture. Planners in the agricultural sector understand that drought conditions translate into lower yields, and subsequently reduced profits, but the relationship between drought thresholds and economic impacts remain unclear. This project focuses on estimating the Standardized Precipitation Index (SPI) for the Palliser Triangle to develop an understanding of the relationship between droughts and economic impacts on the production of wheat. The Palliser Triangle is a semi-arid region that experiences severe episodic droughts and is located primarily within two provinces: Alberta and Saskatchewan. The region supports a variety of crops including grains, oilseed, and forage crops, but predominantly wheat. The SPI is a probability index based entirely on precipitation deficits that identifies drought conditions with negative values and wet conditions using positive values. For this project, the SPI was estimated on a monthly basis for a period of thirty-four years utilizing precipitation data from the North American Land Data Assimilation Systems (NDLAS) with a resolution of 1/8 degrees. Agricultural data was collected from Statistics Canada, Agriculture Division on a yearly basis for each agricultural district located within the study area. The SPI estimated values were compared against the yield reduction of wheat for a period of thirty years using statistical linear regression. The combination of highest r-squared and lowest standard error was selected. The use of remote sensing products in Canada is optimal since the in-situ measurement networks are very sparse. However, selecting the appropriate satellite products is challenging. The Tropical Rainfall Measuring Mission (TRMM) has been successfully used to improve the understanding of precipitation within the tropics since the satellite was launched. However, the spatial coverage excludes Canada. On the other hand, the information provided by the Global Precipitation Climatology Project (GPCP) covers the study area, but the resolution is too coarse to establish relationships between drought and agriculture at the district level. Therefore, there is a need of a Global Precipitation Mission that collects data for the globe at a fine resolution that in combination with existing precipitation products allows the estimation of the SPI, among other drought indicators, in a near-real time.

Service Center for Climate Change Adaptation in Agriculture - an initiative of the University of West Hungary

NASA Astrophysics Data System (ADS)

Matyas, Cs.; Berki, I.; Drüszler, A.; Eredics, A.; Galos, B.; Moricz, N.; Rasztovits, E.

2012-04-01

In whole Central Europe agricultural production is highly vulnerable and sensitive to impacts of projected climatic changes. The low-elevation regions of the Carpathian Basin (most of the territory of Hungary), where precipitation is the minimum factor of production, are especially exposed to climatic extremes, especially to droughts. Rainfed agriculture, animal husbandry on nature-close pastures and nature-close forestry are the most sensitive sectors due to limited possibilities to counterbalance moisture supply constraints. These sectors have to be best prepared to frequency increase of extreme events, disasters and economic losses. So far, there is a lack of information about the middle and long term consequences on regional and local level. Therefore the importance of complex, long term management planning and of land use optimation is increasing. The aim of the initiative is to set up a fine-scale, GIS-based, complex, integrated system for the definition of the most important regional and local challenges and tasks of climate change adaptation and mitigation in agriculture, forestry, animal husbandry and also nature protection. The Service Center for Climate Change Adaptation in Agriculture is planned to provide the following services: § Complex, GIS-supported database, which integrates the basic information about present and projected climates, extremes, hydrology and soil conditions; § Evaluation of existing satellite-based and earth-based monitoring systems; § GIS-supported information about the future trends of climate change impacts on the agroecological potential and sensitivity status on regional and local level (e.g. land cover/use and expectable changes, production, water and carbon cycle, biodiversity and other ecosystem services, potential pests and diseases, tolerance limits etc.) in fine-scale horizontal resolution, based first of all on natural produce, including also social and economic consequences; § Complex decision supporting system on regional and local scale for middle- and long term adaptation and mitigation strategies, providing information on optimum technologies and energy balances. Cooperation with already existing Climate Service Centres and national and international collaboration in monitoring and research are important elements of the activity of the Centre. In the future, the Centre is planned to form part of a national information system on climate change adaptation and mitigation, supported by the Ministry of Development. Keywords: climate change impacts, forestry, rainfed agriculture, animal husbandry

Interactions of Climate Change and Nitrogen Management for Optimizing Crop Productivity and Food Security while Minimizing Nitrogen Pollution and Greenhouse Gas Emissions

NASA Astrophysics Data System (ADS)

Davidson, E. A.; Suddick, E. C.

2012-12-01

Producing food, transportation, and energy for seven billion people has led to huge increases in use of synthetic nitrogen (N) fertilizers and fossil fuels, resulting in large releases of N as air and water pollution. In its numerous chemical forms, N plays a critical role in all aspects of climate change, including mitigation, adaptation, and impacts. Here we report on a multi-authored, interdisciplinary technical report on climate-nitrogen interactions submitted to the US National Climate Assessment as part of a Research Coordination Network activity. Management of the N cycle not only affects emissions of nitrous oxide (N2O) and nitrogen oxides (NOX), but also impacts carbon dioxide (CO2) and methane (CH4), through effects on carbon cycling processes in forests and soils and the effects on atmospheric reactions of ozone (O3) and CH4. While some of these direct and indirect N effects have a short-term cooling effect, the warming effects of N2O dominate at long time scales. The challenges of mitigating N2O emissions are substantially different from those for CO2 and CH4, because N is essential for food production, and over 80% of anthropogenic N2O emissions are from the agricultural sector. On one hand, improved agricultural nutrient management can confer some adaptive capacity of crops to climatic variability, but, on the other hand, increased climatic variability will render the task more difficult to manage nutrients for the optimization of crop productivity while minimizing N losses to the environment. Higher air temperatures will result in a "climate penalty" for air quality mitigation efforts, because larger NOX emissions reductions will be needed to achieve the same reductions of O3 pollution under higher temperatures, thus imposing further challenges to avoid harmful impacts on human health and crop productivity. Changes in river discharge, due to summer drought and to extreme precipitation events, will affect the transport of N from agricultural fields to rivers and estuaries, potentially resulting in more eutrophication, including harmful algal blooms. Both climate change and N inputs from N deposition can provoke biodiversity loss in aquatic and terrestrial ecosystems, because nutrient enrichment of native ecosystems often favors fast-growing, often non-native species. Policies aimed at improving N-use efficiencies in agriculture and reducing emissions from transportation and energy sectors would have multiple interacting benefits for climate mitigation and adaptation and for minimizing climate change impacts on crop productivity, air and water quality, biodiversity, human health risks, and food security.

Policy Perspectives on Social, Agricultural, and Rural Sustainability.

ERIC Educational Resources Information Center

Wimberley, Ronald C.

1993-01-01

Introduces three types of agricultural policy dealing with the sustainability of society, the agricultural sector, and rural people and places. Outlines sustainability issues and special interest groups related to each policy type, common ground, and the impact on rural policy of the environment, economic change, physical infrastructure, social…

7 CFR 3.3 - Definitions.

Code of Federal Regulations, 2010 CFR

2010-01-01

... (Federal agencies and private sector entities) into their respective databases for the purpose of... 7 Agriculture 1 2010-01-01 2010-01-01 false Definitions. 3.3 Section 3.3 Agriculture Office of the Secretary of Agriculture DEBT MANAGEMENT General § 3.3 Definitions. For the purpose of this part, except as...

A career in government: my experiences working for the U.S. Department of Agriculture-Agricultural Research Service

USDA-ARS?s Scientific Manuscript database

The agricultural sector provides highly diverse career opportunities that include private companies, academic institutions, non-government organizations, and government agencies. One possible career path is with the Federal government which is one of the largest employers of scientists and engineers...

Handling Uncertain Gross Margin and Water Demand in Agricultural Water Resources Management using Robust Optimization

NASA Astrophysics Data System (ADS)

Chaerani, D.; Lesmana, E.; Tressiana, N.

2018-03-01

In this paper, an application of Robust Optimization in agricultural water resource management problem under gross margin and water demand uncertainty is presented. Water resource management is a series of activities that includes planning, developing, distributing and managing the use of water resource optimally. Water resource management for agriculture can be one of the efforts to optimize the benefits of agricultural output. The objective function of agricultural water resource management problem is to maximizing total benefits by water allocation to agricultural areas covered by the irrigation network in planning horizon. Due to gross margin and water demand uncertainty, we assume that the uncertain data lies within ellipsoidal uncertainty set. We employ robust counterpart methodology to get the robust optimal solution.

The role of country-to-region assignments in global integrated modeling of energy, agriculture, land use, and climate

NASA Astrophysics Data System (ADS)

Kyle, P.; Patel, P.; Calvin, K. V.

2014-12-01

Global integrated assessment models used for understanding the linkages between the future energy, agriculture, and climate systems typically represent between 8 and 30 geopolitical macro-regions, balancing the benefits of geographic resolution with the costs of additional data collection, processing, analysis, and computing resources. As these models are continually being improved and updated in order to address new questions for the research and policy communities, it is worth examining the consequences of the country-to-region mapping schemes used for model results. This study presents an application of a data processing system built for the GCAM integrated assessment model that allows any country-to-region assignments, with a minimum of four geopolitical regions and a maximum of 185. We test ten different mapping schemes, including the specific mappings used in existing major integrated assessment models. We also explore the impacts of clustering nations into regions according to the similarity of the structure of each nation's energy and agricultural sectors, as indicated by multivariate analysis. Scenarios examined include a reference scenario, a low-emissions scenario, and scenarios with agricultural and buildings sector climate change impacts. We find that at the global level, the major output variables (primary energy, agricultural land use) are surprisingly similar regardless of regional assignments, but at finer geographic scales, differences are pronounced. We suggest that enhancing geographic resolution is advantageous for analysis of climate impacts on the buildings and agricultural sectors, due to the spatial heterogeneity of these drivers.

Nutrients in the nexus

USGS Publications Warehouse

Davidson, Eric A.; Niphong, Rachel; Ferguson, Richard B.; Palm, Cheryl; Osmond, Deanna L.; Baron, Jill S.

2016-01-01

Synthetic nitrogen (N) fertilizer has enabled modern agriculture to greatly improve human nutrition during the twentieth century, but it has also created unintended human health and environmental pollution challenges for the twenty-first century. Averaged globally, about half of the fertilizer-N applied to farms is removed with the crops, while the other half remains in the soil or is lost from farmers’ fields, resulting in water and air pollution. As human population continues to grow and food security improves in the developing world, the dual development goals of producing more nutritious food with low pollution will require both technological and socio-economic innovations in agriculture. Two case studies presented here, one in sub-Saharan Africa and the other in Midwestern United States, demonstrate how management of nutrients, water, and energy is inextricably linked in both small-scale and large-scale food production, and that science-based solutions to improve the efficiency of nutrient use can optimize food production while minimizing pollution. To achieve the needed large increases in nutrient use efficiency, however, technological developments must be accompanied by policies that recognize the complex economic and social factors affecting farmer decision-making and national policy priorities. Farmers need access to affordable nutrient supplies and support information, and the costs of improving efficiencies and avoiding pollution may need to be shared by society through innovative policies. Success will require interdisciplinary partnerships across public and private sectors, including farmers, private sector crop advisors, commodity supply chains, government agencies, university research and extension, and consumers.

Co-benefits, trade-offs, barriers and policies for greenhouse gas mitigation in the agriculture, forestry and other land use (AFOLU) sector.

PubMed

Bustamante, Mercedes; Robledo-Abad, Carmenza; Harper, Richard; Mbow, Cheikh; Ravindranat, Nijavalli H; Sperling, Frank; Haberl, Helmut; Pinto, Alexandre de Siqueira; Smith, Pete

2014-10-01

The agriculture, forestry and other land use (AFOLU) sector is responsible for approximately 25% of anthropogenic GHG emissions mainly from deforestation and agricultural emissions from livestock, soil and nutrient management. Mitigation from the sector is thus extremely important in meeting emission reduction targets. The sector offers a variety of cost-competitive mitigation options with most analyses indicating a decline in emissions largely due to decreasing deforestation rates. Sustainability criteria are needed to guide development and implementation of AFOLU mitigation measures with particular focus on multifunctional systems that allow the delivery of multiple services from land. It is striking that almost all of the positive and negative impacts, opportunities and barriers are context specific, precluding generic statements about which AFOLU mitigation measures have the greatest promise at a global scale. This finding underlines the importance of considering each mitigation strategy on a case-by-case basis, systemic effects when implementing mitigation options on the national scale, and suggests that policies need to be flexible enough to allow such assessments. National and international agricultural and forest (climate) policies have the potential to alter the opportunity costs of specific land uses in ways that increase opportunities or barriers for attaining climate change mitigation goals. Policies governing practices in agriculture and in forest conservation and management need to account for both effective mitigation and adaptation and can help to orient practices in agriculture and in forestry towards global sharing of innovative technologies for the efficient use of land resources. Different policy instruments, especially economic incentives and regulatory approaches, are currently being applied however, for its successful implementation it is critical to understand how land-use decisions are made and how new social, political and economic forces in the future will influence this process. © 2014 John Wiley & Sons Ltd.

MULTIFUNCTION ENERGY PLATFORM (MFP) PILOT

EPA Science Inventory

• Multi-sector Baseline Survey:  A five-sector survey (agriculture, energy, water, health, and general - demogr...

• Cerescope: Algeria Seeks Better Training in Agriculture.

  ERIC Educational Resources Information Center

  Ceres, 1979

  1979-01-01

  Recent changes and developments in Algeria's agricultural education program to meet the future needs for expertise at all levels in the rural sector are described. Training targets established in the national plan are detailed. (BT)

• Priority economic sector and household income in Indonesia (an analysis of input output)

  NASA Astrophysics Data System (ADS)

  Subanti, S.; Mulyanto; Hakim, A. R.; Mafruhah, I.; Hakim, I. M.

  2018-03-01

  This purpose of study aims to identify the roles of priority economic sectors on household incomes in Indonesia. Analyse in this paper used nine economic sectors, that representing result of classification from input output table. This study found that (1) priority economic sector are manufacturing sector & trade hotel and restaurant; (2) sector that have looking forward orientation included agriculture, mining & quarrying, and financial ownership & business services; and (3) electricity, gas, and water supply sector give the biggest impact to household income in Indonesia. The suggestion that policies aimed at increasing productivity and raising skills while encouraging individual participation in the formal labour market are essential.

Crop insurance: a tool to stabilize Spanish agricultural income

NASA Astrophysics Data System (ADS)

Calatayud Piñero, E.; Escribano Pintor, S.

2009-04-01

Agricultural insurance was born as a need for farmers, opposite to the erratic behavior of the climatology, natural disaster, which strangles the farmer during the cycle of his crops and harvest, reverberating negatively in the economy of the farmer. Before this situation, it became necessary to determine, inside the agricultural policies, a specific regulation of the agricultural insurance across a participation of the State by means of contributions to the agricultural insurance which result was, in Spain, the current Law 87/1978, of December 28 of Agricultural Insurance. The benefits of the existence of a good system of agricultural insurance not only are to level of the farmer but also to regional level and top areas, since to the regional production turns diminished, it reverberates in the economic productivity and in the rest of economic sectors, with the consequent tensions and imbalances, and the probability of being translated in a decrease of the quality of life of the rural way. But the analysis of the importance of his situation, not only must be carried out from a theoretical perspective, where already there exist numerous studies that treat the relation and importance of the agricultural insurance with regard to the traditional agriculture characterized by his limited capacity of innovation. For it, in this paper, we will proceed to realize an empirical analysis, inside our country, across the principal agrarian information statistics, as faithful reflection of the economic dimension of the sector, for across his evolution as well as that of the indemnifications paid for the agricultural insurance, to be able to show the importance of the same one in his contribution to the maintenance and improvement of the agriculture, avoiding the uncertainty of the farmer By means of the utilization of mobile averages, which eliminate the erratic behavior in the annual series, first we will realize a national analysis for the set of the lines of agricultural insurance, and later we realize it in the regional area, concretely in an autonomous community where the agrarian sector has still a great social and economic importance, this is the case of Castilla-La Mancha, at the center of Spain.

75 FR 67345 - Agricultural Policy Advisory Committee for Trade and the Agricultural Technical Advisory...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-11-02

..., UPS, etc.) to the Office of Negotiations and Agreements, Foreign Agricultural Service, USDA, Room 5603.... The Office of Negotiations and Agreements may be reached by telephone at (202) 720-6219, with... sector advisory committee system to ensure that U.S. trade policy and negotiation objectives adequately...

Obama administration's National Drought Resilience Partnership to help

Science.gov Websites

strategies in critical sectors such as agriculture, municipal water systems, energy, recreation, tourism and Agriculture Secretary Tom Vilsack. "But our work isn't done and we can always better prepare for the intensity and the number of drought events that impact agriculture. "The impacts of drought can be

Employment Status, Curriculum and College of Agriculture Graduates' Entrepreneurial Behaviour in Cross River State, Nigeria

ERIC Educational Resources Information Center

Arikpo, Abam

2011-01-01

The study investigated the difference in entrepreneurial behaviour of self employed College of Agriculture graduates "vis-à-vis" their counterparts who were either government employed, organised private sector employed, or unemployed. The samples (80 College of Agriculture graduates) were purposively drawn from all College of Agriculture…

A Professional Development Climate Course for Sustainable Agriculture in Australia

ERIC Educational Resources Information Center

George, David; Clewett, Jeff; Birch, Colin; Wright, Anthony; Allen, Wendy

2009-01-01

There are few professional development courses in Australia for the rural sector concerned with climate variability, climate change and sustainable agriculture. The lack of educators with a sound technical background in climate science and its applications in agriculture prevents the delivery of courses either stand-alone or embedded in other…

Reducing emissions from agriculture to meet the 2 °C target.

PubMed

Wollenberg, Eva; Richards, Meryl; Smith, Pete; Havlík, Petr; Obersteiner, Michael; Tubiello, Francesco N; Herold, Martin; Gerber, Pierre; Carter, Sarah; Reisinger, Andrew; van Vuuren, Detlef P; Dickie, Amy; Neufeldt, Henry; Sander, Björn O; Wassmann, Reiner; Sommer, Rolf; Amonette, James E; Falcucci, Alessandra; Herrero, Mario; Opio, Carolyn; Roman-Cuesta, Rosa Maria; Stehfest, Elke; Westhoek, Henk; Ortiz-Monasterio, Ivan; Sapkota, Tek; Rufino, Mariana C; Thornton, Philip K; Verchot, Louis; West, Paul C; Soussana, Jean-François; Baedeker, Tobias; Sadler, Marc; Vermeulen, Sonja; Campbell, Bruce M

2016-12-01

More than 100 countries pledged to reduce agricultural greenhouse gas (GHG) emissions in the 2015 Paris Agreement of the United Nations Framework Convention on Climate Change. Yet technical information about how much mitigation is needed in the sector vs. how much is feasible remains poor. We identify a preliminary global target for reducing emissions from agriculture of ~1 GtCO 2 e yr -1 by 2030 to limit warming in 2100 to 2 °C above pre-industrial levels. Yet plausible agricultural development pathways with mitigation cobenefits deliver only 21-40% of needed mitigation. The target indicates that more transformative technical and policy options will be needed, such as methane inhibitors and finance for new practices. A more comprehensive target for the 2 °C limit should be developed to include soil carbon and agriculture-related mitigation options. Excluding agricultural emissions from mitigation targets and plans will increase the cost of mitigation in other sectors or reduce the feasibility of meeting the 2 °C limit. © 2016 The Authors Global Change Biology Published by John Wiley & Sons Ltd.

Value of irrigation water usage in South Florida agriculture.

PubMed

Takatsuka, Yuki; Niekus, Martijn R; Harrington, Julie; Feng, Shuang; Watkins, David; Mirchi, Ali; Nguyen, Huong; Sukop, Michael C

2018-06-01

This study estimates economic loss from South Florida croplands when usage of agricultural irrigation water is altered. In South Florida, 78% of the total value of farm products sold is comprised of cropland products. The majority of Florida citrus and sugarcane are produced in the area, and agricultural irrigation was the largest sector of water use in 2010, followed by public water supply. The Florida Department of Environmental Protection announced in December 2012 that traditional sources of fresh groundwater will have difficulty meeting all of the additional demands by 2030. A shortage of water will impose significant damage to the rural and agriculture economy in Florida, which may lead to higher prices and costs for consumers to purchase citrus or other Florida agriculture products. This paper presents a methodology for estimating economic loss when usage of irrigation water is altered, and examines economic values of irrigation water use for South Florida cropland. The efficient allocation of irrigation water across South Florida cropland is also investigated in order to reduce economic cost to the South Florida agricultural sector. Copyright © 2017 Elsevier B.V. All rights reserved.

A Robust Profitability Assessment Tool for Targeting Agricultural Investments in Developing Countries: Modeling Spatial Heterogeneity and Uncertainty

NASA Astrophysics Data System (ADS)

Quinn, J. D.; Zeng, Z.; Shoemaker, C. A.; Woodard, J.

2014-12-01

In sub-Saharan Africa, where the majority of the population earns their living from agriculture, government expenditures in many countries are being re-directed to the sector to increase productivity and decrease poverty. However, many of these investments are seeing low returns because they are poorly targeted. A geographic tool that accounts for spatial heterogeneity and temporal variability in the factors of production would allow governments and donors to optimize their investments by directing them to farmers for whom they are most profitable. One application for which this is particularly relevant is fertilizer recommendations. It is well-known that soil fertility in much of sub-Saharan Africa is declining due to insufficient nutrient inputs to replenish those lost through harvest. Since fertilizer application rates in sub-Saharan Africa are several times smaller than in other developing countries, it is often assumed that African farmers are under-applying fertilizer. However, this assumption ignores the risk farmers face in choosing whether or how much fertilizer to apply. Simply calculating the benefit/cost ratio of applying a given level of fertilizer in a particular year over a large, aggregated region (as is often done) overlooks the variability in yield response seen at different sites within the region, and at the same site from year to year. Using Ethiopia as an example, we are developing a 1 km resolution fertilizer distribution tool that provides pre-season fertilizer recommendations throughout the agricultural regions of the country, conditional on seasonal climate forecasts. By accounting for spatial heterogeneity in soil, climate, market and travel conditions, as well as uncertainty in climate and output prices at the time a farmer must purchase fertilizer, this stochastic optimization tool gives better recommendations to governments, fertilizer companies, and aid organizations looking to optimize the welfare benefits achieved by their investments.

Estimation of GHG emissions in Egypt up to the year 2020

DOE Office of Scientific and Technical Information (OSTI.GOV)

ElMahgary, Y.; Abdel-Fattah, A.I.; Shama, M.A.

1994-09-01

Within the frame of UNEP's project on the Methodologies of Determining the Costs of Abatement of GHG Emissions, a case study on Egypt was undertaken by VTT (Technical Research Centre of Finland) in cooperation with the Egyptian Environment Authority Agency (EEAA). Both the bottom-up or engineering models and the top-down or the macroeconomic models were used. In the bottom-up approach, the economic sectors were divided into seven groups: petroleum industry, power generation, heavy industry, light industry, residential and commercial sector, transport and agriculture and domestic wastes. First, a comprehensive inventory for the year 1990 was prepared for all the GHGmore » emissions mainly, but not exclusively, from energy sources. This included CO[sub 2], CH[sub 4] and N[sub 2]O. A base scenario of economic and energy growth of Egypt for business-as-usual alternative was fixed using the results of several optimization processes undertaken earlier by the National Committee of Egypt. GHG emissions of the different sources in this base scenario were then determined using LEAP model and spread sheets.« less

Swedish strategies for health and safety in agriculture: a coordinated multiagency approach.

PubMed

Lundqvist, Peter; Alwall Svennefelt, Catharina

2014-01-01

Occupational injuries are a major problem in agriculture world-wide. Sweden is developing a national approach to scoordinate different stakeholders with the common goal of reducing injuries in the agricultural sector. The Swedish strategy involves important factors, such as: 1) Collaboration between all stakeholders involved in health and safety in agriculture, 2) A national programme on injury prevention, 3) Coordination of actions and 4) Knowledge, attitude and behaviour in focus. This approach is being coordinated through the Swedish Committee on Working Environment (LAMK), a network acting to achieve a good, healthy and safe working environment in Swedish agriculture. The Committee consists of representatives of authorities, institutions, companies, research and education institutions and organisations working in the green sector. The Swedish model will be evaluated as a whole concept on its effect on the frequency of injuries in the agricultural industry in the beginning of 2014. Promising results has been shown in evaluations of minor parts. This coordinated approach has been applied in others countries (United States and New Zealand) as well and seems like an efficient way of using limited resources to achieve higher impact on a specific problems such as occupational injuries in agriculture.

Migration dynamics, entrepreneurship, and African development: Lessons from Malawi.

PubMed

Thomas, Kevin J A; Inkpen, Christopher

2013-12-01

Using data from Malawi, this study situates the discourse on migration, entrepreneurship, and development within the context of Africa's social realities. It examines self-employment differences among three groups of migrants and corresponding group differences in agricultural and non-agricultural self-employment. International migrants are found to be more engaged in self-employment than internal-migrants. However, our results suggest that previous findings on the development-related contributions of returning migrants from the West need to be appropriately contextualized. When returnees from the West invest in self-employment, they typically shy away from Africa's largest economic sector - agriculture. In contrast, levels of self-employment, especially in agricultural self-employment, are highest among returning migrants and immigrants from other African countries, especially from those nearby. We also underscore the gendered dimensions of migrants' contribution to African development by demonstrating that female migrants are more likely to be self-employed in agriculture than male migrants. Furthermore, as human-capital increases, migrants are more likely to concentrate their self-employment activities in non-agricultural activities and not in the agricultural sector. The study concludes by using these findings to discuss key implications for policy and future research.

Migration dynamics, entrepreneurship, and African development: Lessons from Malawi

PubMed Central

Thomas, Kevin J. A.; Inkpen, Christopher

2014-01-01

Using data from Malawi, this study situates the discourse on migration, entrepreneurship, and development within the context of Africa’s social realities. It examines self-employment differences among three groups of migrants and corresponding group differences in agricultural and non-agricultural self-employment. International migrants are found to be more engaged in self-employment than internal-migrants. However, our results suggest that previous findings on the development-related contributions of returning migrants from the West need to be appropriately contextualized. When returnees from the West invest in self-employment, they typically shy away from Africa’s largest economic sector - agriculture. In contrast, levels of self-employment, especially in agricultural self-employment, are highest among returning migrants and immigrants from other African countries, especially from those nearby. We also underscore the gendered dimensions of migrants’ contribution to African development by demonstrating that female migrants are more likely to be self-employed in agriculture than male migrants. Furthermore, as human-capital increases, migrants are more likely to concentrate their self-employment activities in non-agricultural activities and not in the agricultural sector. The study concludes by using these findings to discuss key implications for policy and future research. PMID:25598569

Advanced tools for irrigation scheduling

USDA-ARS?s Scientific Manuscript database

Irrigated agriculture is needed to meet demands for agricultural products, but farmers are challenged with limited quality water supplies, environmental and regulatory policies climate variability, and competition for water from other sectors. Scientific irrigation scheduling could help allay these ...

Innovations in Health Value and Functional Food Development of Quinoa (Chenopodium quinoa Willd.)

PubMed Central

Graf, Brittany L.; Rojas-Silva, Patricio; Rojo, Leonel E.; Delatorre-Herrera, Jose; Baldeón, Manuel E.; Raskin, Ilya

2016-01-01

Quinoa (Chenopodium quinoa Willd., Amaranthaceae) is a grain-like, stress-tolerant food crop that has provided subsistence, nutrition, and medicine for Andean indigenous cultures for thousands of years. Quinoa contains a high content of health-beneficial phytochemicals, including amino acids, fiber, polyunsaturated fatty acids, vitamins, minerals, saponins, phytosterols, phytoecdysteroids, phenolics, betalains, and glycine betaine. Over the past 2 decades, numerous food and nutraceutical products and processes have been developed from quinoa. Furthermore, 4 clinical studies have demonstrated that quinoa supplementation exerts significant, positive effects on metabolic, cardiovascular, and gastrointestinal health in humans. However, vast challenges and opportunities remain within the scientific, agricultural, and development sectors to optimize quinoa's role in the promotion of global human health and nutrition. PMID:27453695

Motives of consumers following a vegan diet and their attitudes towards animal agriculture.

PubMed

Janssen, Meike; Busch, Claudia; Rödiger, Manika; Hamm, Ulrich

2016-10-01

The number of consumers following a vegan diet has notably increased in many industrialised countries and it is likely that their influence on the food sector will continue to grow. The aim of the present study was to identify different segments of consumers according to their motivation for following a vegan diet. Another objective was to analyse the attitudes of these consumers towards animal agriculture. The main focus was to determine whether all consumers following a vegan diet oppose animal agriculture in general or if some of these consumers accept certain forms of animal agriculture. The 2014 study, conducted at seven vegan supermarkets in Germany, was based on face-to-face interviews with 329 consumers following a vegan diet. The open question on consumer motivations for adopting a vegan diet revealed three main motives: Animal-related motives (mentioned by 89.7% of the respondents), motives related to personal well-being and/or health (69.3%), and environment-related motives (46.8%). The two-step cluster analysis identified five consumer segments with different motivations for following a vegan diet. The vast majority of respondents (81.8%) mentioned more than one motive. We conclude that making a dichotomous segmentation into ethical versus self-oriented consumers, as previous authors have done, disregards the fact that many consumers following a vegan diet are driven by more than one motive. The consumer segments had significantly different attitudes towards animal agriculture. We identified consumers following a vegan diet (about one third of the sample) who might be open to forms of animal agriculture guaranteeing animal welfare standards going beyond current practices. The present study has interesting implications for the food sector and the agricultural sector. Copyright © 2016 Elsevier Ltd. All rights reserved.

Agricultural Trade Negotiations at a Crossroads

DTIC Science & Technology

1991-02-28

interests and the commitment of the EC to the social policy objectives of the Common Agricultural Policy . The EC has been especially concerned with...willingness on the part of the EC to reform its Common Agricultural Policy , there would be little reason to extend fast-track authority or to continue the...implementing legislation up or down without amendments. 5 Committees 5 for specific commodity sectors, there is the higher- level Agricultural Policy Advisory

Exploring synergistic benefits of Water-Food-Energy Nexus through multi-objective reservoir optimization schemes.

PubMed

Uen, Tinn-Shuan; Chang, Fi-John; Zhou, Yanlai; Tsai, Wen-Ping

2018-08-15

This study proposed a holistic three-fold scheme that synergistically optimizes the benefits of the Water-Food-Energy (WFE) Nexus by integrating the short/long-term joint operation of a multi-objective reservoir with irrigation ponds in response to urbanization. The three-fold scheme was implemented step by step: (1) optimizing short-term (daily scale) reservoir operation for maximizing hydropower output and final reservoir storage during typhoon seasons; (2) simulating long-term (ten-day scale) water shortage rates in consideration of the availability of irrigation ponds for both agricultural and public sectors during non-typhoon seasons; and (3) promoting the synergistic benefits of the WFE Nexus in a year-round perspective by integrating the short-term optimization and long-term simulation of reservoir operations. The pivotal Shihmen Reservoir and 745 irrigation ponds located in Taoyuan City of Taiwan together with the surrounding urban areas formed the study case. The results indicated that the optimal short-term reservoir operation obtained from the non-dominated sorting genetic algorithm II (NSGA-II) could largely increase hydropower output but just slightly affected water supply. The simulation results of the reservoir coupled with irrigation ponds indicated that such joint operation could significantly reduce agricultural and public water shortage rates by 22.2% and 23.7% in average, respectively, as compared to those of reservoir operation excluding irrigation ponds. The results of year-round short/long-term joint operation showed that water shortage rates could be reduced by 10% at most, the food production rate could be increased by up to 47%, and the hydropower benefit could increase up to 9.33 million USD per year, respectively, in a wet year. Consequently, the proposed methodology could be a viable approach to promoting the synergistic benefits of the WFE Nexus, and the results provided unique insights for stakeholders and policymakers to pursue sustainable urban development plans. Copyright © 2018 Elsevier B.V. All rights reserved.

The Study of the Impacts of The agriculture practices on ET by In-situ Measurement and Numeric Modeling in Southern China

NASA Astrophysics Data System (ADS)

Huang, Jinhui Jeanne; Chan, Han

2017-04-01

ABSTRACT Evapotranspiration (ET) has long been regarded as a very important component in energy and mass exchange between hydrosphere, atmosphere and biosphere. It is estimated that about 70% annual precipitation goes back to atmosphere through the process of ET, ET thus plays a significant role in modeling regional and global climate and assessing stresses on natural and agricultural ecosystems. The variation of ET is affected by many processes including hydrological, metrological as well as biological processes. Water used in Agriculture Sector is normally accounted for about 70% of total water consumption. ET may also be enhanced by agriculture practices as it is the key component of water consumption in agriculture practices. A two-year continuous in-situ ET measurement (in half minute time scale) by eddy covariance method (using EC-QCL analyzer and three-dimensional ultrasonic anemometer) was conducted in a large vegetable farmland in the suburb of Yueyang City, Hunan Province. EddyPro software was employed to calculate the actual evapotranspiration, water vapor flux, latent heat flux (LE) and analysis the trend of actual evapotranspiration in different time scales. A RZWQM2 (Root Zone Water Quality Model) model was also developed based on the local metrological data and agriculture practices including planting, harvesting, irrigation practices and fertilization etc., The field observations including in-situ ET measurement are used to calibrate the RZWQM2 model. The calibrated model was further used to study the effects of various agriculture activates on ET. The study shows that the crop density has the greatest effects on the variation of plant transpiration following by irrigation and fertilization. This study provides some scientific basis for the optimization and improvement of agricultural activities in the future. Key words: ET; Agricultural Practices; Eddy Covariance Method; RZWQM2 model

Venezuela: A Revolution on Standby

DTIC Science & Technology

Blessed with rich agricultural terrain, Venezuela currently retains the largest proven reserves of petroleum in the world. Surprisingly, though, the...Venezuelas food crisis results from over-reliance on the oil industry, lack of a developed agricultural sector, strong dependence on food imports

Integrating and Institutionalizing Lessons Learned: Reorganizing Agricultural Research and Extension

ERIC Educational Resources Information Center

Goletti, Francesco; Pinners, Elise; Purcell, Timothy; Smith, Dominic

2007-01-01

The majority of the population of Vietnam lives in rural areas and depends on agriculture for their livelihood. Consistent growth of the agriculture sector over the past two decades has contributed to a remarkable reduction in the poverty rate and the virtual elimination of hunger in the rural areas of Vietnam. In order to continue the growth…

Agricultural Education as a Medium for the Transmission of Western Science during British Rule in Malaya, 1905-1957

ERIC Educational Resources Information Center

Arman, Ezwan; Mamat, Mohd Zufri; Hasbullah, Maisarah

2016-01-01

This paper traces the transmission of Western science through the agricultural education sector during the British colonial administration of Malaya. This education system included three levels: elementary, intermediate and the school of agriculture. To understand the process by which Western science was transmitted in Malaya, Basalla's model was…

Rural Development and the Regional State: Denying Multifunctional Agriculture in the UK

ERIC Educational Resources Information Center

Marsden, Terry; Sonnino, Roberta

2008-01-01

Under the emerging rural development paradigm, we argue that to be multifunctional an activity must add income to agriculture, it must contribute to the construction of a new agricultural sector that corresponds to the needs of the wider society and it must reconfigure rural resources in ways that lead to wider rural development benefits. By…

The added value of a water footprint approach: Micro- and macroeconomic analysis of cotton production, processing and export in water bound Uzbekistan

NASA Astrophysics Data System (ADS)

Rudenko, I.; Bekchanov, M.; Djanibekov, U.; Lamers, J. P. A.

2013-11-01

Since independence from the former Soviet Union in 1991, Uzbekistan is challenged to consolidate its efforts and identify and introduce suitable agricultural policies to ease the threat of advancing land, water and ecosystem deterioration. On the one hand, irrigated cotton production provides income, food and energy sources for a large part of the rural households, which accounts for about 70% of the total population. On the other hand, this sector is considered a major driver of the on-going environmental degradation. Due to this dual nature, an integrated approach is needed that allows the analyses of the cotton sector at different stages and, consequently, deriving comprehensive options for action. The findings of the economic based value chain analysis and ecologically-oriented water footprint analysis on regional level were complemented with the findings of an input-output model on national level. This combination gave an added value for better-informed decision-making to reach land, water and ecosystem sustainability, compared to the individual results of each approach. The synergy of approaches pointed at various options for actions, such as to (i) promote the shift of water use from the high water consuming agricultural sector to a less water consuming cotton processing sector, (ii) increase overall water use efficiency by expanding the highly water productive industrial sectors and concurrently decreasing sectors with inefficient water use, and (iii) reduce agricultural water use by improving irrigation and conveyance efficiencies. The findings showed that increasing water use efficiency, manufacturing products with higher value added and raising water users' awareness of the real value of water are essential for providing water security in Uzbekistan.

Integrated Drought Monitoring and Forecasts for Decision Making in Water and Agricultural Sectors over the Southeastern US under Changing Climate

NASA Astrophysics Data System (ADS)

Arumugam, S.; Mazrooei, A.; Ward, R.

2017-12-01

Changing climate arising from structured oscillations such as ENSO and rising temperature poses challenging issues in meeting the increasing water demand (due to population growth) for public supply and agriculture over the Southeast US. This together with infrastructural (e.g., most reservoirs being within-year systems) and operational (e.g., static rule curves) constraints requires an integrated approach that seamlessly monitors and forecasts water and soil moisture conditions to support adaptive decision making in water and agricultural sectors. In this talk, we discuss the utility of an integrated drought management portal that both monitors and forecasts streamflow and soil moisture over the southeast US. The forecasts are continuously developed and updated by forcing monthly-to-seasonal climate forecasts with a land surface model for various target basins. The portal also houses a reservoir allocation model that allows water managers to explore different release policies in meeting the system constraints and target storages conditioned on the forecasts. The talk will also demonstrate how past events (e.g., 2007-2008 drought) could be proactively monitored and managed to improve decision making in water and agricultural sectors over the Southeast US. Challenges in utilizing the portal information from institutional and operational perspectives will also be presented.

Greenhouse gas mitigation potentials in the livestock sector

NASA Astrophysics Data System (ADS)

Herrero, Mario; Henderson, Benjamin; Havlík, Petr; Thornton, Philip K.; Conant, Richard T.; Smith, Pete; Wirsenius, Stefan; Hristov, Alexander N.; Gerber, Pierre; Gill, Margaret; Butterbach-Bahl, Klaus; Valin, Hugo; Garnett, Tara; Stehfest, Elke

2016-05-01

The livestock sector supports about 1.3 billion producers and retailers, and contributes 40-50% of agricultural GDP. We estimated that between 1995 and 2005, the livestock sector was responsible for greenhouse gas emissions of 5.6-7.5 GtCO2e yr-1. Livestock accounts for up to half of the technical mitigation potential of the agriculture, forestry and land-use sectors, through management options that sustainably intensify livestock production, promote carbon sequestration in rangelands and reduce emissions from manures, and through reductions in the demand for livestock products. The economic potential of these management alternatives is less than 10% of what is technically possible because of adoption constraints, costs and numerous trade-offs. The mitigation potential of reductions in livestock product consumption is large, but their economic potential is unknown at present. More research and investment are needed to increase the affordability and adoption of mitigation practices, to moderate consumption of livestock products where appropriate, and to avoid negative impacts on livelihoods, economic activities and the environment.

A Site-sPecific Agricultural water Requirement and footprint Estimator (SPARE:WATER 1.0)

NASA Astrophysics Data System (ADS)

Multsch, S.; Al-Rumaikhani, Y. A.; Frede, H.-G.; Breuer, L.

2013-07-01

The agricultural water footprint addresses the quantification of water consumption in agriculture, whereby three types of water to grow crops are considered, namely green water (consumed rainfall), blue water (irrigation from surface or groundwater) and grey water (water needed to dilute pollutants). By considering site-specific properties when calculating the crop water footprint, this methodology can be used to support decision making in the agricultural sector on local to regional scale. We therefore developed the spatial decision support system SPARE:WATER that allows us to quantify green, blue and grey water footprints on regional scale. SPARE:WATER is programmed in VB.NET, with geographic information system functionality implemented by the MapWinGIS library. Water requirements and water footprints are assessed on a grid basis and can then be aggregated for spatial entities such as political boundaries, catchments or irrigation districts. We assume inefficient irrigation methods rather than optimal conditions to account for irrigation methods with efficiencies other than 100%. Furthermore, grey water is defined as the water needed to leach out salt from the rooting zone in order to maintain soil quality, an important management task in irrigation agriculture. Apart from a thorough representation of the modelling concept, we provide a proof of concept where we assess the agricultural water footprint of Saudi Arabia. The entire water footprint is 17.0 km3 yr-1 for 2008, with a blue water dominance of 86%. Using SPARE:WATER we are able to delineate regional hot spots as well as crop types with large water footprints, e.g. sesame or dates. Results differ from previous studies of national-scale resolution, underlining the need for regional estimation of crop water footprints.

Municipalities, Small Business and Agriculture: The Challenge of Meeting Environmental Responsibilities (1988)

EPA Pesticide Factsheets

Studies on findings after looking at the combined impacts of EPA's new regulations upon municipalities, small business, and agriculture. The three studies examined 85 environmental regulations impacting each sector, and a summary report on these results.

An agriculture and health inter-sectorial research process to reduce hazardous pesticide health impacts among smallholder farmers in the Andes.

PubMed

Cole, Donald C; Orozco T, Fadya; Pradel, Willy; Suquillo, Jovanny; Mera, Xavier; Chacon, Aura; Prain, Gordon; Wanigaratne, Susitha; Leah, Jessica

2011-11-08

The use of highly hazardous pesticides by smallholder farmers constitutes a classic trans-sectoral 'wicked problem'. We share our program of research in potato and vegetable farming communities in the Andean highlands, working with partners from multiple sectors to confront this problem over several projects. We engaged in iterative cycles of mixed methods research around particular questions, actions relevant to stakeholders, new proposal formulation and implementation followed by evaluation of impacts. Capacity building occurred among farmers, technical personnel, and students from multiple disciplines. Involvement of research users occurred throughout: women and men farmers, non-governmental development organizations, Ministries of Health and Agriculture, and, in Ecuador, the National Council on Social Participation. Pesticide poisonings were more widespread than existing passive surveillance systems would suggest. More diversified, moderately developed agricultural systems had lower pesticide use and better child nutrition. Greater understanding among women of crop management options and more equal household gender relations were associated with reduced farm pesticide use and household pesticide exposure. Involvement in more organic agriculture was associated with greater household food security and food sovereignty. Markets for safer produce supported efforts by smallholder farmers to reduce hazardous pesticide use.Participatory interventions included: promoting greater access to alternative methods and inputs in a store co-sponsored by the municipality; producing less harmful inputs such as compost by women farmers; strengthening farmer organizations around healthier and more sustainable agriculture; marketing safer produce among social sectors; empowering farmers to act as social monitors; and using social monitoring results to inform decision makers. Uptake by policy makers has included: the Ecuadorian Ministry of Health rolling out pesticide poisoning surveillance modeled on our system; the Ecuadorian Association of Municipalities holding a national virtual forum on healthier agriculture; and the Ecuadorian Ministry of Agriculture promulgating restrictions on highly hazardous pesticides in June 2010. Work with multiple actors is needed to shift agriculture towards greater sustainability and human health, particularly for vulnerable smallholders.

Ammonia emissions from the agriculture sector in Argentina; 2000-2012

NASA Astrophysics Data System (ADS)

Castesana, Paula S.; Dawidowski, Laura E.; Finster, Laura; Gómez, Darío R.; Taboada, Miguel A.

2018-04-01

Agriculture is one of the key economic sectors in Argentina and, in the last decades, the increase in prices and competitiveness of some grains has imposed important changes. In this process, crop cultivation occupied significant extensions of land areas previously dedicated to livestock farming, which in turn have experienced intensification in terms of production through an increasing share of feedlot systems. The agriculture sector is the main NH3 emitter in Argentina, however no inventory developed locally has been thus far available. We estimated the time series 2000-2012 of NH3 emissions, both at national and spatially disaggregated levels. National NH3 emissions in 2012 amounted to 0.31 ± 0.08 Tg, with the use of mineral fertilizers accounting for 43.0%, manure in pasture 32.5%, manure management 23.0% and agricultural waste burning 1.5%. Urea use was the major source of NH3 emissions and its application on wheat and corn crops dominated the trend. Emissions from open biomass burning were estimated but not included in the national totals because of the difficulties in differentiating between agricultural (i.e., prescribed burning of savannas) and non-agricultural emission sources. Compared to this work, NH3 emissions reported by EDGAR were 83% higher than our estimates. The time series of spatially distributed NH3 emission estimates clearly showed the effect of the expansion of cropland, the displacement of planted areas of N-fertilizes crops by competing soybean cultivation and the relocation and intensification of beef cattle production. This new inventory constitutes a tool for policies concerning the impact of agricultural activities on air quality and contributes with more accurate and updated information useful for atmospheric chemical transport modeling. The accuracy and applicability of the inventory may be improved by local studies aimed at refining the spatial disaggregation by focusing in specific areas of fertilizer application, reflecting seasonal and monthly patterns in agricultural practices and climate conditions and addressing likely changes in diets, productivity and excretion rates over time.

Efficiency in the European agricultural sector: environment and resources.

PubMed

Moutinho, Victor; Madaleno, Mara; Macedo, Pedro; Robaina, Margarita; Marques, Carlos

2018-04-22

This article intends to compute agriculture technical efficiency scores of 27 European countries during the period 2005-2012, using both data envelopment analysis (DEA) and stochastic frontier analysis (SFA) with a generalized cross-entropy (GCE) approach, for comparison purposes. Afterwards, by using the scores as dependent variable, we apply quantile regressions using a set of possible influencing variables within the agricultural sector able to explain technical efficiency scores. Results allow us to conclude that although DEA and SFA are quite distinguishable methodologies, and despite attained results are different in terms of technical efficiency scores, both are able to identify analogously the worst and better countries. They also suggest that it is important to include resources productivity and subsidies in determining technical efficiency due to its positive and significant exerted influence.

A Multi-Sector Assessment of the Effects of Climate Change at the Energy-Water-Land Nexus in the US

NASA Astrophysics Data System (ADS)

McFarland, J.; Sarofim, M. C.; Martinich, J.

2017-12-01

Rising temperatures and changing precipitation patterns due to climate change are projected to alter many sectors of the US economy. A growing body of research has examined these effects in the energy, water, and agricultural sectors. Rising summer temperatures increase the demand for electricity. Changing precipitation patterns effect the availability of water for hydropower generation, thermo-electric cooling, irrigation, and municipal and industrial consumption. A combination of changes to temperature and precipitation alter crop yields and cost-effective farming practices. Although a significant body of research exists on analyzing impacts to individual sectors, fewer studies examine the effects using a common set of assumptions (e.g., climatic and socio-economic) within a coupled modeling framework. The present analysis uses a multi-sector, multi-model framework with common input assumptions to assess the projected effects of climate change on energy, water, and land-use in the United States. The analysis assesses the climate impacts for across 5 global circulation models for representative concentration pathways (RCP) of 8.5 and 4.5 W/m2. The energy sector models - Pacific Northwest National Lab's Global Change Assessment Model (GCAM) and the National Renewable Energy Laboratory's Regional Energy Deployment System (ReEDS) - show the effects of rising temperature on energy and electricity demand. Electricity supply in ReEDS is also affected by the availability of water for hydropower and thermo-electric cooling. Water availability is calculated from the GCM's precipitation using the US Basins model. The effects on agriculture are estimated using both a process-based crop model (EPIC) and an agricultural economic model (FASOM-GHG), which adjusts water supply curves based on information from US Basins. The sectoral models show higher economic costs of climate change under RCP 8.5 than RCP 4.5 averaged across the country and across GCM's.

The links between agriculture and health: an intersectoral opportunity to improve the health and livelihoods of the poor.

PubMed Central

Hawkes, Corinna; Ruel, Marie

2006-01-01

Agriculture and health are linked in many ways. First, agriculture is essential for good health: it produces the world's food, fibre and materials for shelter; in many countries it is also an important source of livelihood among the poor. At the same time, agriculture can be linked with poor health, including malnutrition, malaria, foodborne illnesses, human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS), livestock-related diseases, chronic diseases and occupational ill-health. Health also affects agriculture: people's health status influences the demand for agricultural outputs, and in agricultural communities, poor health reduces work performance, reducing income and productivity and perpetuating a downward spiral into ill-health. This paper presents an overview of the bidirectional links between agriculture and health with a focus on the developing world. It develops a conceptual framework that brings together the various links between agriculture and health into a single broad framework. The framework comprises the core components of the agricultural supply chain (producers, systems and outputs), key health concerns and the mechanisms of common interaction between the agricultural and health components: income, labour, environment and access -- all key social determinants of health. These links between agriculture and health present an opportunity for the two sectors to work together to find solutions to each other's problems. Yet the health and agricultural sectors remain poorly coordinated. Leadership from global health and agricultural institutions is needed to build policies and good governance to facilitate integration, while capacity building is needed at all levels to help translate the conceptual links into comprehensive action on the ground. Health and agricultural researchers likewise need to work more closely together to achieve common goals. PMID:17242835

The next 15 years: taking plant-made vaccines beyond proof of concept.

PubMed

Kirk, Dwayne D; Webb, Steven R

2005-06-01

Significant potential advantages are associated with the production of vaccines in transgenic plants; however, no commercial product has emerged. An analysis of the strengths, weaknesses, opportunities and threats for plant-made vaccine technology is provided. The use of this technology for human vaccines will require significant investment and developmental efforts that cannot be supported entirely by the academic sector and is not currently supported financially by industry. A focus on downstream aspects to define potential products, conduct of additional basic clinical testing, and the incorporation of multidisciplinary strategic planning would accelerate the potential for commercialization in this field. Estimates of production cost per dose and volume of production are highly variable for a model vaccine produced in transgenic tomato, and can be influenced by the optimization of many factors. Commercialization of plant-made vaccine technology is likely to be led by the agricultural biotechnology sector rather than the pharmaceutical sector due to the disruptive nature of the technology and the complex intellectual property landscape. The next major milestones will be conduct of a phase II human clinical trial and demonstration of protection in humans. The achievement of these milestones would be accelerated by further basic investigation into mucosal immunity, the codevelopment of oral adjuvants, and the integration of quality control standards and good manufacturing practices for the production of preclinical and clinical batch materials.

An overview of methods to identify and manage uncertainty for modelling problems in the water-environment-agriculture cross-sector

DOE PAGES

Jakeman, Anthony J.; Jakeman, John Davis

2018-03-14

Uncertainty pervades the representation of systems in the water–environment–agriculture cross-sector. Successful methods to address uncertainties have largely focused on standard mathematical formulations of biophysical processes in a single sector, such as partial or ordinary differential equations. More attention to integrated models of such systems is warranted. Model components representing the different sectors of an integrated model can have less standard, and different, formulations to one another, as well as different levels of epistemic knowledge and data informativeness. Thus, uncertainty is not only pervasive but also crosses boundaries and propagates between system components. Uncertainty assessment (UA) cries out for more eclecticmore » treatment in these circumstances, some of it being more qualitative and empirical. Here in this paper, we discuss the various sources of uncertainty in such a cross-sectoral setting and ways to assess and manage them. We have outlined a fast-growing set of methodologies, particularly in the computational mathematics literature on uncertainty quantification (UQ), that seem highly pertinent for uncertainty assessment. There appears to be considerable scope for advancing UA by integrating relevant UQ techniques into cross-sectoral problem applications. Of course this will entail considerable collaboration between domain specialists who often take first ownership of the problem and computational methods experts.« less

An overview of methods to identify and manage uncertainty for modelling problems in the water-environment-agriculture cross-sector

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jakeman, Anthony J.; Jakeman, John Davis

Uncertainty pervades the representation of systems in the water–environment–agriculture cross-sector. Successful methods to address uncertainties have largely focused on standard mathematical formulations of biophysical processes in a single sector, such as partial or ordinary differential equations. More attention to integrated models of such systems is warranted. Model components representing the different sectors of an integrated model can have less standard, and different, formulations to one another, as well as different levels of epistemic knowledge and data informativeness. Thus, uncertainty is not only pervasive but also crosses boundaries and propagates between system components. Uncertainty assessment (UA) cries out for more eclecticmore » treatment in these circumstances, some of it being more qualitative and empirical. Here in this paper, we discuss the various sources of uncertainty in such a cross-sectoral setting and ways to assess and manage them. We have outlined a fast-growing set of methodologies, particularly in the computational mathematics literature on uncertainty quantification (UQ), that seem highly pertinent for uncertainty assessment. There appears to be considerable scope for advancing UA by integrating relevant UQ techniques into cross-sectoral problem applications. Of course this will entail considerable collaboration between domain specialists who often take first ownership of the problem and computational methods experts.« less

Operational resilience of reservoirs to climate change, agricultural demand, and tourism: A case study from Sardinia.

PubMed

Mereu, Simone; Sušnik, Janez; Trabucco, Antonio; Daccache, Andre; Vamvakeridou-Lyroudia, Lydia; Renoldi, Stefano; Virdis, Andrea; Savić, Dragan; Assimacopoulos, Dionysis

2016-02-01

Many (semi-) arid locations globally, and particularly islands, rely heavily on reservoirs for water supply. Some reservoirs are particularly vulnerable to climate and development changes (e.g. population change, tourist growth, hydropower demands). Irregularities and uncertainties in the fluvial regime associated with climate change and the continuous increase in water demand by different sectors will add new challenges to the management and to the resilience of these reservoirs. The resilience of vulnerable reservoirs must be studied in detail to prepare for and mitigate potential impacts of these changes. In this paper, a reservoir balance model is developed and presented for the Pedra e' Othoni reservoir in Sardinia, Italy, to assess resilience to climate and development changes. The model was first calibrated and validated, then forced with extensive ensemble climate data for representative concentration pathways (RCPs) 4.5 and 8.5, agricultural data, and with four socio-economic development scenarios. Future projections show a reduction in annual reservoir inflow and an increase in demand, mainly in the agricultural sector. Under no scenario is reservoir resilience significantly affected, the reservoir always achieves refill. However, this occurs at the partial expenses of hydropower production with implications for the production of renewable energy. There is also the possibility of conflict between the agricultural sector and hydropower sector for diminishing water supply. Pedra e' Othoni reservoir shows good resilience to future change mostly because of the disproportionately large basin feeding it. However this is not the case of other Sardinian reservoirs and hence a detailed resilience assessment of all reservoirs is needed, where development plans should carefully account for the trade-offs and potential conflicts among sectors. For Sardinia, the option of physical connection between reservoirs is available, as are alternative water supply measures. Those reservoirs at risk to future change should be identified, and mitigating measures investigated. Copyright © 2015 Elsevier B.V. All rights reserved.

Optimizing Irrigation Water Allocation under Multiple Sources of Uncertainty in an Arid River Basin

NASA Astrophysics Data System (ADS)

Wei, Y.; Tang, D.; Gao, H.; Ding, Y.

2015-12-01

Population growth and climate change add additional pressures affecting water resources management strategies for meeting demands from different economic sectors. It is especially challenging in arid regions where fresh water is limited. For instance, in the Tailanhe River Basin (Xinjiang, China), a compromise must be made between water suppliers and users during drought years. This study presents a multi-objective irrigation water allocation model to cope with water scarcity in arid river basins. To deal with the uncertainties from multiple sources in the water allocation system (e.g., variations of available water amount, crop yield, crop prices, and water price), the model employs a interval linear programming approach. The multi-objective optimization model developed from this study is characterized by integrating eco-system service theory into water-saving measures. For evaluation purposes, the model is used to construct an optimal allocation system for irrigation areas fed by the Tailan River (Xinjiang Province, China). The objective functions to be optimized are formulated based on these irrigation areas' economic, social, and ecological benefits. The optimal irrigation water allocation plans are made under different hydroclimate conditions (wet year, normal year, and dry year), with multiple sources of uncertainty represented. The modeling tool and results are valuable for advising decision making by the local water authority—and the agricultural community—especially on measures for coping with water scarcity (by incorporating uncertain factors associated with crop production planning).

Agriculture as an Upholder of Cultural Heritage? Conceptualizations and Value Judgements--A Norwegian Perspective in International Context

ERIC Educational Resources Information Center

Daugstad, Karoline; Ronningen, Katrina; Skar, Birgitte

2006-01-01

The multifunctional role of agriculture as a producer of collective goods in addition to food and fibre, has been stressed within the context of negotiations on the liberalization of the world market for food (WTO) and in general in discussions concerning restructuring of the agricultural sector. One of these collective goods, cultural heritage,…

Intentions of Young Farmers Club (YFC) Members to Pursue Career Preparation in Agriculture: The Case of Uganda

ERIC Educational Resources Information Center

Mukembo, Stephen C.; Edwards, M. Craig; Ramsey, Jon W.; Henneberry, Shida R.

2015-01-01

The decline of youth engagement in agriculture worldwide amidst an increasing global population remains a big challenge to ensuring food security for future generations. This phenomenon is worsened by the shortage of professional female agriculturists, though they comprise about 60% to 80% of the traditional workforce in the agriculture sector of…

Government Intervention in Agriculture. Measurement, Evaluation, and Implications for Trade Negotiations. Foreign Agricultural Economic Report No. 229.

ERIC Educational Resources Information Center

Economic Research Service (USDA), Washington, DC.

This report presents an analysis that defines and quantifies the extent of government intervention in the agricultural sectors of the market-oriented countries most active in trade. One aim is to provide usable economic information for the multilateral trade negotiations (MTN), recently launched under the auspices of the General Agreement on…

How will climate change affect spatial planning in agricultural and natural environments? Examples from three Dutch case study regions

NASA Astrophysics Data System (ADS)

Blom-Zandstra, Margaretha; Paulissen, Maurice; Agricola, Herman; Schaap, Ben

2009-11-01

Climate change will place increasing pressure on the functioning of agricultural and natural areas in the Netherlands. Strategies to adapt these areas to stress are likely to require changes in landscape structure and management. In densely populated countries such as the Netherlands, the increased pressure of climate change on agricultural and natural areas will inevitably lead, through the necessity of spatial adaptation measures, to spatial conflicts between the sectors of agriculture and nature. An integrated approach to climate change adaptation may therefore be beneficial in limiting such sectoral conflicts. We explored the conflicting and synergistic properties of different climate adaptation strategies for agricultural and natural environments in the Netherlands. To estimate the feasibility and effectiveness of the strategies, we focussed on three case study regions with contrasting landscape structural, natural and agricultural characteristics. For each region, we estimated the expected climate-related threats and associated trade-offs for arable farming and natural areas for 2040. We describe a number of spatial and integrated adaptation strategies to mitigate these threats. Formulating adaptation strategies requires consultation of different stakeholders and deliberation between different interests. We discuss some trade-offs involved in this decision-making.

Alternative approaches to the construction of a composite indicator of agricultural sustainability: An application to irrigated agriculture in the Duero basin in Spain.

PubMed

Gómez-Limón, José A; Riesgo, Laura

2009-08-01

This paper describes a comparative analysis of alternative methods of constructing composite indicators to measure the sustainability of the agricultural sector. The three methods employed were Principal Component Analysis, the Analytic Hierarchy Process and a Multi-Criteria technique. The comparison focused on the irrigated agriculture of the Duero basin in Spain as a case study, using a dataset of indicators previously calculated for various farm types and policy scenarios. The results enabled us to establish a hierarchy of preferred policy scenarios on the basis of the level of sustainability achieved, and show that the most recent CAP reform is the most sustainable agricultural policy scenario. By analyzing the heterogeneity of different farms types in each scenario, we can also determine the main features of the most sustainable farms in each case. The analysis demonstrates that full-time farmers with small to medium-sized farms and sowing profitable crops are the most sustainable farm types in all the policy scenarios. All of this information is useful for the support of agricultural policy design and its implementation, as we attempt to improve the sustainability of this sector.

Data Entities and Information System Matrix for Integrated Agriculture Information System (IAIS)

NASA Astrophysics Data System (ADS)

Budi Santoso, Halim; Delima, Rosa

2018-03-01

Integrated Agriculture Information System is a system that is developed to process data, information, and knowledge in Agriculture sector. Integrated Agriculture Information System brings valuable information for farmers: (1) Fertilizer price; (2) Agriculture technique and practise; (3) Pest management; (4) Cultivation; (5) Irrigation; (6) Post harvest processing; (7) Innovation in agriculture processing. Integrated Agriculture Information System contains 9 subsystems. To bring an integrated information to the user and stakeholder, it needs an integrated database approach. Thus, researchers describes data entity and its matrix relate to subsystem in Integrated Agriculture Information System (IAIS). As a result, there are 47 data entities as entities in single and integrated database.

Mycelium reinforced agricultural fiber bio-composites: Summary of research

USDA-ARS?s Scientific Manuscript database

Industry and the public sector have a growing interest in utilizing natural fibers, such as agricultural substrates, in the manufacture of components and products currently manufactured from fossil fuels. A patented process, developed by Ecovative Design, LLC (Ecovative), for growing fungal species ...

Sectoral network on occupational health and safety in agriculture to support enterprises and family farms in Estonia.

PubMed

Kurppa, Kari; Tammaru, Eva; Kempinen, Marina; Rünkla, Ester; Sõrra, Jaan; Lehtinen, Suvi

2006-01-01

A sectoral network on occupational health and safety in agriculture has been established in Estonia as part of a project that provided support for Estonian accession into European Union. Participating organizations represent farmers' unions at county level, agricultural enterprises, workers' representatives, universities and agricultural expert institutions, and government agencies. The purpose is to provide a shared infrastructure that combines information and other capacities of several organizations and provides a platform for dialogue and co-operation in order to make a greater impact with available resources. The network has a decentralized architecture and is technically managed by an institutionalized secretariat. The network's task forces have compiled a network directory, summarised the capacities and interests of member organizations, made an inventory of existing information and training materials, developed an overall strategy for information management, established an information repository on the Internet, prepared promotional materials, and devised a protocol for agricultural walk-though assessment. A profile on occupational health and safety in Estonian agriculture has been compiled with a rapid assessment approach that collected both quantitative and qualitative information from secondary sources (statistics, documents) and from focus group discussions. The profile is used as an instrument for taking occupational health and safety needs in agriculture into discussion on political arena.

Multi-sectoral interventions for healthy growth.

PubMed

Casanovas, Ma del Carmen; Lutter, Chessa K; Mangasaryan, Nune; Mwadime, Robert; Hajeebhoy, Nemat; Aguilar, Ana Maria; Kopp, Ciro; Rico, Luis; Ibiett, Gonzalo; Andia, Doris; Onyango, Adelheid W

2013-09-01

The risk of stunted growth and development is affected by the context in which a child is born and grows. This includes such interdependent influences as the political economy, health and health care, education, society and culture, agriculture and food systems, water and sanitation, and the environment. Here, we briefly review how factors linked with the key sectors can contribute to healthy growth and reduced childhood stunting. Emphasis is placed on the role of agriculture/food security, especially family farming; education, particularly of girls and women; water, sanitation, and hygiene and their integration in stunting reduction strategies; social protection including cash transfers, bearing in mind that success in this regard is linked to reducing the gap between rich and poor; economic investment in stunting reduction including the work with the for-profit commercial sector balancing risks linked to marketing foods that can displace affordable and more sustainable alternatives; health with emphasis on implementing comprehensive and effective health care interventions and building the capacity of health care providers. We complete the review with examples of national and subnational multi-sectoral interventions that illustrate how critical it is for sectors to work together to reduce stunting. © 2013 John Wiley & Sons Ltd.

Organization of work in the agricultural, forestry, and fishing sector in the US southeast: implications for immigrant workers' occupational safety and health.

PubMed

Grzywacz, Joseph G; Lipscomb, Hester J; Casanova, Vanessa; Neis, Barbara; Fraser, Clermont; Monaghan, Paul; Vallejos, Quirina M

2013-08-01

There is widespread agreement that work organization is an important element of occupational safety and health, but the health effects of many aspects of work organization are likely to vary considerably across different sectors of work and geographies. We examined existing employment policies and work organization-related research relevant specifically to immigrant workers in the Agriculture, Forestry, and Fishing (AgFF) Sector of the US workforce focusing, when possible, on the southeastern US. A number of specific aspects of work organization within AgFF subsectors have been described, but most of this literature exists outside the purview of occupational health. There are few studies that directly examine how attributes of work organization relevant to the AgFF Sector affect workers', much less immigrant workers', occupational health exposures and outcomes. In contrast to the broader literature, research linking occupational health outcomes to work organization in the AgFF Sector is limited and weak. A systematic program of research and intervention is needed to develop strategies that eliminate or substantially mitigate the deleterious health effects of occupational exposures whose origins likely lie in the organization of AgFF work. Copyright © 2013 Wiley Periodicals, Inc.

The worldwide market for photovoltaics in the rural sector

NASA Technical Reports Server (NTRS)

Brainard, W. A.

1982-01-01

Attention is given to the assessment of results obtained by three NASA studies aimed at determining the global market for stand-alone photovoltaic (PV) power systems in the village power, cottage industry, and agricultural applications areas of the rural sector. An attempt was made to identify technical, social, and institutional barriers to PV system implementation, as well as the funding sources available to potential users. Country- and sector-specific results are discussed, and marketing strategies appropriate for each sector are suggested for the benefit of American PV products manufacturers.

Cooperative partnerships and the role of private landowners

Treesearch

T. Bently Wigley; James M. Sweeney

1993-01-01

Because most land, including forest land, in the United States is privately owned, it is clear the private sector should be a major cooperator in "Partners in Flight" efforts to conserve neotropical migratory birds. The "private sector" is more than forest landowners, whether corporate or noncorporate; it includes agricultural landowners, mining...

Vocational Training and Rural Development in Algeria

ERIC Educational Resources Information Center

Boumaza, S.; Gara, A.

1973-01-01

Better organization of the agricultural sector, expansion of production capabilities, increased employment, satisfaction of the country's needs, and improved productivity are the guidelines considered in the planning and development of the agricultural vocational training system in Algeria. Charts illustrate and clarify the organization of this…

USDA Northeast climate hub greenhouse gas mitigation workshop technical report

USDA-ARS?s Scientific Manuscript database

In April 2015, USDA Secretary Vilsack announced the Greenhouse Gas Building Blocks for Climate Smart Agriculture and Forestry in an effort to reduce greenhouse gas emissions, increase carbon sequestration, and expand renewable energy production in the agricultural and forestry sectors. This initiati...

Infrared heating as an efficient method for drying foods and agricultural products

USDA-ARS?s Scientific Manuscript database

Because agricultural and food sector demands energy efficient and environmentally friendly drying technologies, the application of infrared (IR) heating for drying has recently been extensively studied. IR drying, as an alternative to current drying technologies, has attractive merits such as unifor...

7 CFR 1486.100 - What is the Emerging Markets Program?

Code of Federal Regulations, 2010 CFR

2010-01-01

... include activities such as feasibility studies, market research, sector assessments, orientation visits... 7 Agriculture 10 2010-01-01 2010-01-01 false What is the Emerging Markets Program? 1486.100... CORPORATION, DEPARTMENT OF AGRICULTURE LOANS, PURCHASES, AND OTHER OPERATIONS EMERGING MARKETS PROGRAM General...

7 CFR 1486.100 - What is the Emerging Markets Program?

Code of Federal Regulations, 2011 CFR

2011-01-01

... include activities such as feasibility studies, market research, sector assessments, orientation visits... 7 Agriculture 10 2011-01-01 2011-01-01 false What is the Emerging Markets Program? 1486.100... CORPORATION, DEPARTMENT OF AGRICULTURE LOANS, PURCHASES, AND OTHER OPERATIONS EMERGING MARKETS PROGRAM General...

Reducing greenhouse gas emissions and adapting agricultural management for climate change in developing countries: providing the basis for action.

PubMed

Ogle, Stephen M; Olander, Lydia; Wollenberg, Lini; Rosenstock, Todd; Tubiello, Francesco; Paustian, Keith; Buendia, Leandro; Nihart, Alison; Smith, Pete

2014-01-01

Agriculture in developing countries has attracted increasing attention in international negotiations within the United Nations Framework Convention on Climate Change for both adaptation to climate change and greenhouse gas mitigation. However, there is limited understanding about potential complementarity between management practices that promote adaptation and mitigation, and limited basis to account for greenhouse gas emission reductions in this sector. The good news is that the global research community could provide the support needed to address these issues through further research linking adaptation and mitigation. In addition, a small shift in strategy by the Intergovernmental Panel on Climate Change (IPCC) and ongoing assistance from agricultural organizations could produce a framework to move the research and development from concept to reality. In turn, significant progress is possible in the near term providing the basis for UNFCCC negotiations to move beyond discussion to action for the agricultural sector in developing countries. © 2013 John Wiley & Sons Ltd.

Statistical bias correction modelling for seasonal rainfall forecast for the case of Bali island

NASA Astrophysics Data System (ADS)

Lealdi, D.; Nurdiati, S.; Sopaheluwakan, A.

2018-04-01

Rainfall is an element of climate which is highly influential to the agricultural sector. Rain pattern and distribution highly determines the sustainability of agricultural activities. Therefore, information on rainfall is very useful for agriculture sector and farmers in anticipating the possibility of extreme events which often cause failures of agricultural production. This research aims to identify the biases from seasonal forecast products from ECMWF (European Centre for Medium-Range Weather Forecasts) rainfall forecast and to build a transfer function in order to correct the distribution biases as a new prediction model using quantile mapping approach. We apply this approach to the case of Bali Island, and as a result, the use of bias correction methods in correcting systematic biases from the model gives better results. The new prediction model obtained with this approach is better than ever. We found generally that during rainy season, the bias correction approach performs better than in dry season.

Hindu-Muslim Violence in India: A National and State-Level Study

DTIC Science & Technology

2014-09-01

clubs, sports clubs, festival organizations, trade unions, and cadre-based political parties.”25 Varshney argues that it is these groups that... tourism sectors by offering subsidies as well as fiscal and policy incentives to attract businesses to the state.37 Likewise, in 2007, Kerala also...Kerala’s tourism sector and agricultural sectors have become near equal contributors of 9% to the state’s GDP. India Brand Equity Foundation, Kerala State

Impact of Drought on Groundwater and Soil Moisture - A Geospatial Tool for Water Resource Management

NASA Astrophysics Data System (ADS)

Ziolkowska, J. R.; Reyes, R.

2016-12-01

For many decades, recurring droughts in different regions in the US have been negatively impacting ecosystems and economic sectors. Oklahoma and Texas have been suffering from exceptional and extreme droughts in 2011-2014, with almost 95% of the state areas being affected (Drought Monitor, 2015). Accordingly, in 2011 alone, around 1.6 billion were lost in the agricultural sector alone as a result of drought in Oklahoma (Stotts 2011), and 7.6 billion in Texas agriculture (Fannin 2012). While surface water is among the instant indicators of drought conditions, it does not translate directly to groundwater resources that are the main source of irrigation water. Both surface water and groundwater are susceptible to drought, while groundwater depletion is a long-term process and might not show immediately. However, understanding groundwater availability is crucial for designing water management strategies and sustainable water use in the agricultural sector and other economic sectors. This paper presents an interactive geospatially weighted evaluation model and a tool at the same time to analyze groundwater resources that can be used for decision support in water management. The tool combines both groundwater and soil moisture changes in Oklahoma and Texas in 2003-2014, thus representing the most important indicators of agricultural and hydrological drought. The model allows for analyzing temporal and geospatial long-term drought at the county level. It can be expanded to other regions in the US and the world. The model has been validated with the Palmer Drought Index Severity Index to account for other indicators of meteorological drought. It can serve as a basis for an upcoming socio-economic and environmental analysis of drought events in the short and long-term in different geographic regions.

A process-based agricultural model for the irrigated agriculture sector in Alberta, Canada

NASA Astrophysics Data System (ADS)

Ammar, M. E.; Davies, E. G.

2015-12-01

Connections between land and water, irrigation, agricultural productivity and profitability, policy alternatives, and climate change and variability are complex, poorly understood, and unpredictable. Policy assessment for agriculture presents a large potential for development of broad-based simulation models that can aid assessment and quantification of policy alternatives over longer temporal scales. The Canadian irrigated agriculture sector is concentrated in Alberta, where it represents two thirds of the irrigated land-base in Canada and is the largest consumer of surface water. Despite interest in irrigation expansion, its potential in Alberta is uncertain given a constrained water supply, significant social and economic development and increasing demands for both land and water, and climate change. This paper therefore introduces a system dynamics model as a decision support tool to provide insights into irrigation expansion in Alberta, and into trade-offs and risks associated with that expansion. It is intended to be used by a wide variety of users including researchers, policy analysts and planners, and irrigation managers. A process-based cropping system approach is at the core of the model and uses a water-driven crop growth mechanism described by AquaCrop. The tool goes beyond a representation of crop phenology and cropping systems by permitting assessment and quantification of the broader, long-term consequences of agricultural policies for Alberta's irrigation sector. It also encourages collaboration and provides a degree of transparency that gives confidence in simulation results. The paper focuses on the agricultural component of the systems model, describing the process involved; soil water and nutrients balance, crop growth, and water, temperature, salinity, and nutrients stresses, and how other disciplines can be integrated to account for the effects of interactions and feedbacks in the whole system. In later stages, other components such as livestock production systems and agricultural production economics will be integrated to the agricultural model to make the systems tool. It will capture feedback loops, time delays, and the nonlinearities of the system. Moreover, the model is designed for quick reconfiguration to different regions given parametrized crop data.

Agricultural climate impacts assessment for economic modeling and decision support

NASA Astrophysics Data System (ADS)

Thomson, A. M.; Izaurralde, R. C.; Beach, R.; Zhang, X.; Zhao, K.; Monier, E.

2013-12-01

A range of approaches can be used in the application of climate change projections to agricultural impacts assessment. Climate projections can be used directly to drive crop models, which in turn can be used to provide inputs for agricultural economic or integrated assessment models. These model applications, and the transfer of information between models, must be guided by the state of the science. But the methodology must also account for the specific needs of stakeholders and the intended use of model results beyond pure scientific inquiry, including meeting the requirements of agencies responsible for designing and assessing policies, programs, and regulations. Here we present methodology and results of two climate impacts studies that applied climate model projections from CMIP3 and from the EPA Climate Impacts and Risk Analysis (CIRA) project in a crop model (EPIC - Environmental Policy Indicator Climate) in order to generate estimates of changes in crop productivity for use in an agricultural economic model for the United States (FASOM - Forest and Agricultural Sector Optimization Model). The FASOM model is a forward-looking dynamic model of the US forest and agricultural sector used to assess market responses to changing productivity of alternative land uses. The first study, focused on climate change impacts on the UDSA crop insurance program, was designed to use available daily climate projections from the CMIP3 archive. The decision to focus on daily data for this application limited the climate model and time period selection significantly; however for the intended purpose of assessing impacts on crop insurance payments, consideration of extreme event frequency was critical for assessing periodic crop failures. In a second, coordinated impacts study designed to assess the relative difference in climate impacts under a no-mitigation policy and different future climate mitigation scenarios, the stakeholder specifically requested an assessment of a mitigation level of 3.7 W/m2, as well as consideration of different levels of climate sensitivity (2, 3, 4.5 and 6oC) and different initial conditions for addressing uncertainty. Since the CMIP 3 and CMIP5 protocols did not include this mitigation level or consider alternative levels of climate sensitivity, additional climate projections were required. These two cases will be discussed to illustrate some of the trade-offs made in development of methodologies for climate impact assessments that are intended for a specific user or audience, and oriented towards addressing a specific topic of interest and providing useable results. This involvement of stakeholders from the design phase of climate impacts methodology serves to both define the appropriate method for the question at hand and also to engage and inform the stakeholders of the myriad options and uncertainties associated with different methodology choices. This type of engagement should benefit decision making in the long run through greater stakeholder understanding of the science of future climate model projections, scenarios, the climate impacts sector models and the types of outputs that can be generated by each along with the respective uncertainties at each step of the climate impacts assessment process.

Status and migration of irrigation in the USA

USDA-ARS?s Scientific Manuscript database

Irrigated agriculture produces 49% of crop market value on 18% of cropped lands in the USA. Irrigation is essential to the most highly productive, intensely managed, and internationally competitive sectors of our agricultural economy, which play a key role in meeting growing global food, fiber, and ...

Agronomic and environmental impacts of pasture-crop rotations intemperate North and South America

USDA-ARS?s Scientific Manuscript database

Agriculture has become increasingly specialized in response to political, regulatory, sociological, and economic pressures to meet market demands of an ever-larger food and fiber processing sector. However, there is a growing concern with specialized agricultural systems, because of increasingly ne...

Introduction to “Symposium: Integrated Crop–Livestock Systems for Profit and Sustainability”

USDA-ARS?s Scientific Manuscript database

Agriculture in the USA and other industrialized countries has become increasingly specialized in response to political, regulatory, and economic pressures to meet market demands of an ever-larger food and fiber-processing sector. However, there is a growing concern with specialized agricultural syst...

The Trans-Pacific Partnership Agreement

DTIC Science & Technology

2010-06-25

New Zealand may focus on agricultural goods such as beef and dairy products. The possible inclusion of Vietnam may prove controversial from the...sensitive U.S. agriculture sectors such as beef , lamb, and dairy products. U.S. goods trade with New Zealand is relatively small. New Zealand was...10 Dairy

Global Review of Agricultural Policies.

ERIC Educational Resources Information Center

Economic Research Service (USDA), Washington, DC.

This report describes how governments throughout the world manage their economies and interact with their people, with special emphasis on how the agricultural sector is affected by changing government goals, policies, and programs. Policies and programs are described using information as of July 1987. The large country policy statements include…

Iran’s Economy

DTIC Science & Technology

2008-06-12

Agriculture Iran’s agriculture sector is substantial. Iran is a major source of caviar and pistachio nuts, which constitute significant non-oil exports for Iran...prepared meat and fish, and edible nuts and foods ( pistachios ). There is evidence that Iran is able to obtain embargoed U.S. goods through the re

Organic Weed Control in White Lupin (Lupinus albus L.)

USDA-ARS?s Scientific Manuscript database

Legumes such as white lupin (Lupinus albus L.) provide a valuable nitrogen source in organic agriculture. With organic farming becoming an increasing sector of US agriculture and white lupin interest increasing in the southeastern USA because winter hardy cultivars are available, non-chemical weed c...

The Bush African Policy: Fighting the Global War on Terrorism

DTIC Science & Technology

2006-03-15

of the region’s people. USAID’s main program in the agriculture sector, the Presidential Initiative to End Hunger in Africa ( IEHA ), is helping to...generate more agricultural income and employment, strengthening regional cooperation, and promoting policy and program changes. The IEHA has already

Mechanistic modeling & effectiveness of buffer strips for pesticide regulatory frameworks

USDA-ARS?s Scientific Manuscript database

Vegetative Filter Strips (VFS) have been used as an effective conservation practice in agricultural areas for controlling and mitigate the effect of sediment, nutrients and pesticides loads into water bodies. In addition to the agricultural sector, another important use of VFS for controlling plague...

Agricultural sectoral demand and crop productivity response across the world

NASA Astrophysics Data System (ADS)

Johnston, M.; Ray, D. K.; Cassidy, E. S.; Foley, J. A.

2013-12-01

With an increasing and increasingly affluent population, humans will need to roughly double agricultural production by 2050. Continued yield growth forms the foundation of all future strategies aiming to increase agricultural production while slowing or eliminating cropland expansion. However, a recent analysis by one of our co-authors has shown that yield trends in many important maize, wheat and rice growing regions have begun stagnating or declining from the highs seen during the green revolution (Ray et al. 2013). Additional research by our group has shown that nearly 50% of new agricultural production since the 1960s has gone not to direct human consumption, but instead to animal feed and other industrial uses. Our analysis for GLP looks at the convergence of these two trends by examining time series utilization data for 16 of the biggest crops to determine how demand from different sectors has shaped our land-use and intensification strategies around the world. Before rushing headlong into the next agricultural doubling, it would be prudent to first consult our recent agricultural history to better understand what was driving past changes in production. Using newly developed time series dataset - a fusion of cropland maps with historic agricultural census data gathered from around the world - we can examine yield and harvested area trends over the last half century for 16 top crops. We combine this data with utilization rates from the FAO Food Balance Sheet to see how demand from different sectors - food, feed, and other - has influenced long-term growth trends from the green revolution forward. We will show how intensification trends over time and across regions have grown or contracted depending on what is driving the change in production capacity. Ray DK, Mueller ND, West PC, Foley JA (2013) Yield Trends Are Insufficient to Double Global Crop Production by 2050. PLoS ONE 8(6): e66428. doi:10.1371/journal.pone.0066428

Financial development and sectoral CO2 emissions in Malaysia.

PubMed

Maji, Ibrahim Kabiru; Habibullah, Muzafar Shah; Saari, Mohd Yusof

2017-03-01

The paper examines the impacts of financial development on sectoral carbon emissions (CO 2 ) for environmental quality in Malaysia. Since the financial sector is considered as one of the sectors that will contribute to Malaysian economy to become a developed country by 2020, we utilize a cointegration method to investigate how financial development affects sectoral CO 2 emissions. The long-run results reveal that financial development increases CO 2 emissions from the transportation and oil and gas sector and reduces CO 2 emissions from manufacturing and construction sectors. However, the elasticity of financial development is not significant in explaining CO 2 emissions from the agricultural sector. The results for short-run elasticities were also consistent with the long-run results. We conclude that generally, financial development increases CO 2 emissions and reduces environmental quality in Malaysia.

International Food Security: Insufficient Efforts by Host Governments and Donors Threaten Progress to Halve Hunger in Sub-Saharan Africa by 2015

DTIC Science & Technology

2008-05-01

kilograms of maize on a hectare of land , while China produces almost 3 times as much on the same amount of land . Overall, the gap between the average...Committee statistical definition of aid to agriculture. This definition includes agricultural sector policy, planning, and programs; agricultural land and...search of water and grazing land . In some instances, nomadic families become agropastoralists, with some family members raising agricultural crops

Sectoral risk research about input-output structure of the United States

NASA Astrophysics Data System (ADS)

Zhang, Mao

2018-02-01

There exist rare researches about economic risk in sectoral level, which is significantly important for risk prewarning. This paper employed status coefficient to measure the symmetry of economic subnetwork, which is negatively correlated with sectoral risk. Then, we do empirical research in both cross section and time series dimensions. In cross section dimension, we study the correlation between sectoral status coefficient and sectoral volatility, earning rate and Sharpe ratio respectively in the year 2015. Next, in the perspective of time series, we first investigate the correlation change between sectoral status coefficient and annual total output from 1997 to 2015. Then, we divide the 71 sectors in America into agriculture, manufacturing, services and government, compare the trend terms of average sectoral status coefficients of the four industries and illustrate the causes behind it. We also find obvious abnormality in the sector of housing. At last, this paper puts forward some suggestions for the federal government.

An optimization model to agroindustrial sector in antioquia (Colombia, South America)

NASA Astrophysics Data System (ADS)

Fernandez, J.

2015-06-01

This paper develops a proposal of a general optimization model for the flower industry, which is defined by using discrete simulation and nonlinear optimization, whose mathematical models have been solved by using ProModel simulation tools and Gams optimization. It defines the operations that constitute the production and marketing of the sector, statistically validated data taken directly from each operation through field work, the discrete simulation model of the operations and the linear optimization model of the entire industry chain are raised. The model is solved with the tools described above and presents the results validated in a case study.

Multi-sectorial convergence in greenhouse gas emissions.

PubMed

Oliveira, Guilherme de; Bourscheidt, Deise Maria

2017-07-01

This paper uses the World Input-Output Database (WIOD) to test the hypothesis of per capita convergence in greenhouse gas (GHG) emissions for a multi-sectorial panel of countries. The empirical strategy applies conventional estimators of random and fixed effects and Arellano and Bond's (1991) GMM to the main pollutants related to the greenhouse effect. For reasonable empirical specifications, the model revealed robust evidence of per capita convergence in CH 4 emissions in the agriculture, food, and services sectors. The evidence of convergence in CO 2 emissions was moderate in the following sectors: agriculture, food, non-durable goods manufacturing, and services. In all cases, the time for convergence was less than 15 years. Regarding emissions by energy use, the largest source of global warming, there was only moderate evidence in the extractive industry sector-all other pollutants presented little or no evidence. Copyright © 2017 Elsevier Ltd. All rights reserved.

Nanotechnology and its applications in the food sector.

PubMed

Sozer, Nesli; Kokini, Jozef L

2009-02-01

Nanoscience and nanotechnology are new frontiers of this century. Their applications to the agriculture and food sector are relatively recent compared with their use in drug delivery and pharmaceuticals. Smart delivery of nutrients, bioseparation of proteins, rapid sampling of biological and chemical contaminants and nanoencapsulation of nutraceuticals are some of the emerging topics of nanotechnology for food and agriculture. Advances in technologies, such as DNA microarrays, microelectromechanical systems and microfluidics, will enable the realization of the potential of nanotechnology for food applications. In this review, we intended to summarize the applications of nanotechnology relevant to food and nutraceuticals together with identifying the outstanding challenges.

A Water-Withdrawal Input-Output Model of the Indian Economy.

PubMed

Bogra, Shelly; Bakshi, Bhavik R; Mathur, Ritu

2016-02-02

Managing freshwater allocation for a highly populated and growing economy like India can benefit from knowledge about the effect of economic activities. This study transforms the 2003-2004 economic input-output (IO) table of India into a water withdrawal input-output model to quantify direct and indirect flows. This unique model is based on a comprehensive database compiled from diverse public sources, and estimates direct and indirect water withdrawal of all economic sectors. It distinguishes between green (rainfall), blue (surface and ground), and scarce groundwater. Results indicate that the total direct water withdrawal is nearly 3052 billion cubic meter (BCM) and 96% of this is used in agriculture sectors with the contribution of direct green water being about 1145 BCM, excluding forestry. Apart from 727 BCM direct blue water withdrawal for agricultural, other significant users include "Electricity" with 64 BCM, "Water supply" with 44 BCM and other industrial sectors with nearly 14 BCM. "Construction", "miscellaneous food products"; "Hotels and restaurants"; "Paper, paper products, and newsprint" are other significant indirect withdrawers. The net virtual water import is found to be insignificant compared to direct water used in agriculture nationally, while scarce ground water associated with crops is largely contributed by northern states.

Linked sustainability challenges and trade-offs among fisheries, aquaculture and agriculture.

PubMed

Blanchard, Julia L; Watson, Reg A; Fulton, Elizabeth A; Cottrell, Richard S; Nash, Kirsty L; Bryndum-Buchholz, Andrea; Büchner, Matthias; Carozza, David A; Cheung, William W L; Elliott, Joshua; Davidson, Lindsay N K; Dulvy, Nicholas K; Dunne, John P; Eddy, Tyler D; Galbraith, Eric; Lotze, Heike K; Maury, Olivier; Müller, Christoph; Tittensor, Derek P; Jennings, Simon

2017-09-01

Fisheries and aquaculture make a crucial contribution to global food security, nutrition and livelihoods. However, the UN Sustainable Development Goals separate marine and terrestrial food production sectors and ecosystems. To sustainably meet increasing global demands for fish, the interlinkages among goals within and across fisheries, aquaculture and agriculture sectors must be recognized and addressed along with their changing nature. Here, we assess and highlight development challenges for fisheries-dependent countries based on analyses of interactions and trade-offs between goals focusing on food, biodiversity and climate change. We demonstrate that some countries are likely to face double jeopardies in both fisheries and agriculture sectors under climate change. The strategies to mitigate these risks will be context-dependent, and will need to directly address the trade-offs among Sustainable Development Goals, such as halting biodiversity loss and reducing poverty. Countries with low adaptive capacity but increasing demand for food require greater support and capacity building to transition towards reconciling trade-offs. Necessary actions are context-dependent and include effective governance, improved management and conservation, maximizing societal and environmental benefits from trade, increased equitability of distribution and innovation in food production, including continued development of low input and low impact aquaculture.

Valorization of rendering industry wastes and co-products for industrial chemicals, materials and energy: review.

PubMed

Mekonnen, Tizazu; Mussone, Paolo; Bressler, David

2016-01-01

Over the past decades, strong global demand for industrial chemicals, raw materials and energy has been driven by rapid industrialization and population growth across the world. In this context, long-term environmental sustainability demands the development of sustainable strategies of resource utilization. The agricultural sector is a major source of underutilized or low-value streams that accompany the production of food and other biomass commodities. Animal agriculture in particular constitutes a substantial portion of the overall agricultural sector, with wastes being generated along the supply chain of slaughtering, handling, catering and rendering. The recent emergence of bovine spongiform encephalopathy (BSE) resulted in the elimination of most of the traditional uses of rendered animal meals such as blood meal, meat and bone meal (MBM) as animal feed with significant economic losses for the entire sector. The focus of this review is on the valorization progress achieved on converting protein feedstock into bio-based plastics, flocculants, surfactants and adhesives. The utilization of other rendering streams such as fat and ash rich biomass for the production of renewable fuels, solvents, drop-in chemicals, minerals and fertilizers is also critically reviewed.

User-tailored seasonal forecasts for agriculture - creating socio-economic benefit through climate services in the Andes

NASA Astrophysics Data System (ADS)

De Ventura, Sara; Avalos, Grinia; Rossa, Andrea; Flubacher, Moritz; Gubler, Stefanie; Sedlmeier, Katrin; Dapozzo, Marlene; Garcia, Teresa; Quevedo, Karim; Liniger, Mark; Spirig, Christoph; Rosas, Gabriela; Schwierz, Cornelia

2017-04-01

The project Climandes is a twinning project between the Peruvian National Meteorological and Hydrological Service (SENAMHI) and the Federal Office of Meteorology and Climatology of Switzerland (MeteoSwiss) aiming at improving climate services for the Andean Region. It was launched in 2012 as a pilot project of the Global Framework for Climate Services (GFCS) of WMO. In 2016 a second phase of the project has started. Until now, Peru as all the Andean countries has had only a limited access to climate services, and the few instruments already in place have mostly not been developed in concordance with the user needs. Due to this mismatch, the opportunity to achieve veritable socio-economic benefits (SEB) has been overlooked so far. An additional difficulty is the lack of trained and experienced climatology and meteorology professionals able to develop and provide high quality climate services. Furthermore, the importance of climate information and its far-reaching benefits has not yet been fully acknowledged and embraced by the political decision-makers. The overall goals of the Climandes project are the following:. • Provision of user-tailored climate services for the Andean Region to improve socio- economic benefits for the agricultural sector and for society at large. • Improvement of the capacities of the meteorological service of Peru to generate user-tailored climate services in the agricultural sector. These goals are elaborated within three mutually dependent modules: The first one comprises user-tailored climate products for the agricultural sector in the Peruvian Andes. This includes drought and precipitation monitoring as well as the development of a prototype seasonal prediction system for the region including indices tailored to the agricultural sector. The second module focuses on capacity building, enabling climatology-related professionals and students to develop high-quality climate services for Peru and the Andean Region. Training courses as well as E-learning tools covering the knowledge needed for the elaboration and use of climate services (e.g. monitoring, seasonal prediction of precipitation) are developed and implemented. The third module aims at raising the awareness of political stakeholders of the SEB of SENAMHI's sector-specific climate services underpinned by a case study to quantify the SEB of drought and precipitation information platform for selected crops. This contribution will give an overview of the project and highlights some of the results of the first year of Climandes 2.

Agriculture and Health Sectors Collaborate in Addressing Population Health

PubMed Central

Kaufman, Arthur; Boren, Jon; Koukel, Sonja; Ronquillo, Francisco; Davies, Cindy; Nkouaga, Carolina

2017-01-01

PURPOSE Population health is of growing importance in the changing health care environment. The Cooperative Extension Service, housed in each state’s land grant university, has a major impact on population health through its many community-based efforts, including the Supplemental Nutrition Assistance Program – Education (SNAP-Ed) nutrition programs, 4-H youth engagement, health and wellness education, and community development. Can the agricultural and health sectors, which usually operate in parallel, mostly unknown to each other, collaborate to address population health? We set out to provide an overview of the collaboration between the Cooperative Extension Service and the health sector in various states and describe a case study of 1 model as it developed in New Mexico. METHODS We conducted a literature review and personally contacted states in which the Cooperative Extension Service is collaborating on a “Health Extension” model with academic health centers or their health systems. We surveyed 6 states in which Health Extension models are being piloted as to their different approaches. For a case study of collaboration in New Mexico, we drew on interviews with the leadership of New Mexico State University’s Cooperative Extension Service in the College of Agricultural, Consumer and Environmental Sciences; the University of New Mexico (UNM) Health Science Center’s Office for Community Health; and the personal experiences of frontline Cooperative Extension agents and UNM Health Extension officers who collaborated on community projects. RESULTS A growing number of states are linking the agricultural Cooperative Extension Service with academic health centers and with the health care system. In New Mexico, the UNM academic health center has created “Health Extension Rural Offices” based on principles of the Cooperative Extension model. Today, these 2 systems are working collaboratively to address unmet population health needs in their communities. Nationally, the Cooperative Extension Service has formed a steering committee to guide its movement into the health arena. CONCLUSION Resources of the agricultural and health sectors offer communities complementary expertise and resources to address adverse population health outcomes. The collaboration between Cooperative Extension and the health sector is 1 manifestation of this emerging collaboration model termed Health Extension. Initial skepticism and protection of funding sources and leadership roles can be overcome with shared funding from new sources, shared priority setting and decision making, and the initiation of practical, collaborative projects that build personal relationships and trust. PMID:28893819

Hotspots of gross emissions from the land use sector: patterns, uncertainties, and leading emission sources for the period 2000-2005 in the tropics

NASA Astrophysics Data System (ADS)

Roman-Cuesta, Rosa Maria; Rufino, Mariana C.; Herold, Martin; Butterbach-Bahl, Klaus; Rosenstock, Todd S.; Herrero, Mario; Ogle, Stephen; Li, Changsheng; Poulter, Benjamin; Verchot, Louis; Martius, Christopher; Stuiver, John; de Bruin, Sytze

2016-07-01

According to the latest report of the Intergovernmental Panel on Climate Change (IPCC), emissions must be cut by 41-72 % below 2010 levels by 2050 for a likely chance of containing the global mean temperature increase to 2 °C. The AFOLU sector (Agriculture, Forestry and Other Land Use) contributes roughly a quarter ( ˜ 10-12 Pg CO2e yr-1) of the net anthropogenic GHG emissions mainly from deforestation, fire, wood harvesting, and agricultural emissions including croplands, paddy rice, and livestock. In spite of the importance of this sector, it is unclear where the regions with hotspots of AFOLU emissions are and how uncertain these emissions are. Here we present a novel, spatially comparable dataset containing annual mean estimates of gross AFOLU emissions (CO2, CH4, N2O), associated uncertainties, and leading emission sources, in a spatially disaggregated manner (0.5°) for the tropics for the period 2000-2005. Our data highlight the following: (i) the existence of AFOLU emissions hotspots on all continents, with particular importance of evergreen rainforest deforestation in Central and South America, fire in dry forests in Africa, and both peatland emissions and agriculture in Asia; (ii) a predominant contribution of forests and CO2 to the total AFOLU emissions (69 %) and to their uncertainties (98 %); (iii) higher gross fluxes from forests, which coincide with higher uncertainties, making agricultural hotspots appealing for effective mitigation action; and (iv) a lower contribution of non-CO2 agricultural emissions to the total gross emissions (ca. 25 %), with livestock (15.5 %) and rice (7 %) leading the emissions. Gross AFOLU tropical emissions of 8.0 (5.5-12.2) were in the range of other databases (8.4 and 8.0 Pg CO2e yr-1 in FAOSTAT and the Emissions Database for Global Atmospheric Research (EDGAR) respectively), but we offer a spatially detailed benchmark for monitoring progress in reducing emissions from the land sector in the tropics. The location of the AFOLU hotspots of emissions and data on their associated uncertainties will assist national policy makers, investors, and other decision-makers who seek to understand the mitigation potential of the AFOLU sector.

Technology-Driven and Innovative Training for Sustainable Agriculture in The Face of Climate Change

NASA Astrophysics Data System (ADS)

Wishart, D. N.

2015-12-01

Innovative training in 'Sustainable Agriculture' for an increasingly STEM-dependent agricultural sector will require a combination of approaches and technologies for global agricultural production to increase while offsetting climate change. Climate change impacts the water resources of nations as normal global weather patterns are altered during El Nino events. Agricultural curricula must incorporate awareness of 'climate change' in order to find novel ways to (1) assure global food security; (2) improve soil productivity and conservation; (3) improve crop yields and irrigation; (4) inexpensively develop site specific principles of crop management based on variable soil and associated hydrological properties; and (5) improve precision farming. In February 2015, Central State University (CSU), Ohio became an 1890 Land-Grant institution vital to the sustainability of Ohio's agricultural sector. Besides agricultural extension, the agriculture curriculum at CSU integrates multidisciplinary courses in science, technology engineering, agriculture, and mathematics (STEAM). The agriculture program could benefit from a technology-driven, interdisciplinary soil science course that promotes climate change education and climate literacy while being offered in both a blended and collaborative learning environment. The course will focus on the dynamics of microscale to mesoscale processes occurring in farming systems, those of which impact climate change or could be impacted by climate change. Elements of this course will include: climate change webinars; soil-climate interactions; carbon cycling; the balance of carbon fluxes between soil storage and atmosphere; microorganisms and soil carbon storage; paleoclimate and soil forming processes; geophysical techniques used in the characterization of soil horizons; impact of climate change on soil fertility; experiments; and demonstrations.

Simulating water markets with transaction costs

PubMed Central

Erfani, Tohid; Binions, Olga; Harou, Julien J

2014-01-01

This paper presents an optimization model to simulate short-term pair-wise spot-market trading of surface water abstraction licenses (water rights). The approach uses a node-arc multicommodity formulation that tracks individual supplier-receiver transactions in a water resource network. This enables accounting for transaction costs between individual buyer-seller pairs and abstractor-specific rules and behaviors using constraints. Trades are driven by economic demand curves that represent each abstractor's time-varying water demand. The purpose of the proposed model is to assess potential hydrologic and economic outcomes of water markets and aid policy makers in designing water market regulations. The model is applied to the Great Ouse River basin in Eastern England. The model assesses the potential weekly water trades and abstractions that could occur in a normal and a dry year. Four sectors (public water supply, energy, agriculture, and industrial) are included in the 94 active licensed water diversions. Each license's unique environmental restrictions are represented and weekly economic water demand curves are estimated. Rules encoded as constraints represent current water management realities and plausible stakeholder-informed water market behaviors. Results show buyers favor sellers who can supply large volumes to minimize transactions. The energy plant cooling and agricultural licenses, often restricted from obtaining water at times when it generates benefits, benefit most from trades. Assumptions and model limitations are discussed. Key Points Transaction tracking hydro-economic optimization models simulate water markets Proposed model formulation incorporates transaction costs and trading behavior Water markets benefit users with the most restricted water access PMID:25598558

Simulating water markets with transaction costs.

PubMed

Erfani, Tohid; Binions, Olga; Harou, Julien J

2014-06-01

This paper presents an optimization model to simulate short-term pair-wise spot-market trading of surface water abstraction licenses (water rights). The approach uses a node-arc multicommodity formulation that tracks individual supplier-receiver transactions in a water resource network. This enables accounting for transaction costs between individual buyer-seller pairs and abstractor-specific rules and behaviors using constraints. Trades are driven by economic demand curves that represent each abstractor's time-varying water demand. The purpose of the proposed model is to assess potential hydrologic and economic outcomes of water markets and aid policy makers in designing water market regulations. The model is applied to the Great Ouse River basin in Eastern England. The model assesses the potential weekly water trades and abstractions that could occur in a normal and a dry year. Four sectors (public water supply, energy, agriculture, and industrial) are included in the 94 active licensed water diversions. Each license's unique environmental restrictions are represented and weekly economic water demand curves are estimated. Rules encoded as constraints represent current water management realities and plausible stakeholder-informed water market behaviors. Results show buyers favor sellers who can supply large volumes to minimize transactions. The energy plant cooling and agricultural licenses, often restricted from obtaining water at times when it generates benefits, benefit most from trades. Assumptions and model limitations are discussed. Transaction tracking hydro-economic optimization models simulate water marketsProposed model formulation incorporates transaction costs and trading behaviorWater markets benefit users with the most restricted water access.

Optimization of carbon mitigation paths in the power sector of Shenzhen, China

NASA Astrophysics Data System (ADS)

Li, Xin; Hu, Guangxiao; Duan, Ying; Ji, Junping

2017-08-01

This paper studied the carbon mitigation paths of the power sector in Shenzhen, China from a supply-side perspective. We investigated the carbon mitigation potentials and investments of seventeen mitigation technologies in the power sector, and employed a linear programming method to optimize the mitigation paths. The results show that: 1) The total carbon mitigation potential is 5.95 MtCO2 in 2020 in which the adjustment of power supply structure, technical improvements of existing coal- and gas-fired power plant account for 87.5%,6.5% and 6.0%, respectively. 2) In the optimal path, the avoided carbon dioxide to meet the local government’s mitigation goal in power sector is 1.26 MtCO2.The adjustment of power supply structure and technical improvement of the coal-fired power plants are the driving factors of carbon mitigation, with contributions to total carbon mitigation are 72.6% and 27.4%, respectively.

Designing Dreams or Constructing Contradictions? European Union Multifunctional Policies and the Polish Organic Farm Sector

ERIC Educational Resources Information Center

De Master, Kathryn

2012-01-01

Analysts have heralded the principle of "multifunctionality" undergirding the European Union's Common Agricultural Policy "Second Pillar" support mechanisms as a "new...and strong paradigm" for agriculture (van der Ploeg and Roep 2003), with the potential to re-embed social, environmental, and ethical concerns into…

Technological changes in the transportation sector : effects on U.S. food and agricultural trade : a proceedings

DOT National Transportation Integrated Search

2000-10-01

The purpose of the workshop was to raise awareness within the Economic Research Service (ERS) about the role and importance of transportation in U.S. food and agricultural trade and to discuss the need of an agency research agenda in this area. Subje...

The Trans-Pacific Partnership Agreement

DTIC Science & Technology

2010-04-14

New Zealand may focus on agricultural goods such as beef and dairy products. The possible inclusion of Vietnam may prove controversial from the...on sensitive U.S. agriculture sectors such as beef , lamb, and dairy products. U.S. goods trade with New Zealand is relatively small. New Zealand was...10 Dairy

How Programme Teams Progress Agricultural Innovation in the Australian Dairy Industry

ERIC Educational Resources Information Center

Nettle, Ruth; Brightling, Pauline; Hope, Anne

2013-01-01

Purpose: This article outlines the emergence of programme teams in the Australian dairy farm sector as a response to counter weaknesses in the institutional environment for agricultural innovation which favours technology adoption/diffusion approaches. Design/methodology/approach: The strengths, weaknesses and risks of different approaches to…

Land Allocation in the Southeastern U.S. in Response to Climate Change Impacts on Forestry and Agriculture

Treesearch

Brian C. Murray; Robert C. Abt; David N. Wear; Peter J. Parks; Ian W. Hardie

2001-01-01

Forest and agriculture are the two dominant land uses in the Southeastern U.S., collectively accounting for almost 90 percent of the land base. Differences in climate change impacts on forest and agricultural productivity can lead to reallocations of land between the two sectors as landowners adjust to the changes in economic conditions. In this paper, we apply the...

Development of Formal Agricultural Education in Canada (Based on the Analysis of Scientific Periodicals of the 19th-Early 20th Centuries)

ERIC Educational Resources Information Center

Havrylenko, Kateryna

2016-01-01

The article states that one of the world leaders in agricultural sector training is Canada, which has gained a great scientific and practical experience. The paper examines the role of periodicals of the 19th-early 20th centuries, preserved in the Canadian book funds for the establishment and development of formal agricultural education of this…

Evaluating sustainable water quality management in the U.S.: Urban, Agricultural, and Environmental Protection Practices

NASA Astrophysics Data System (ADS)

van Oel, P. R.; Alfredo, K. A.; Russo, T. A.

2015-12-01

Sustainable water management typically emphasizes water resource quantity, with focus directed at availability and use practices. When attention is placed on sustainable water quality management, the holistic, cross-sector perspective inherent to sustainability is often lost. Proper water quality management is a critical component of sustainable development practices. However, sustainable development definitions and metrics related to water quality resilience and management are often not well defined; water quality is often buried in large indicator sets used for analysis, and the policy regulating management practices create sector specific burdens for ensuring adequate water quality. In this research, we investigated the methods by which water quality is evaluated through internationally applied indicators and incorporated into the larger idea of "sustainability." We also dissect policy's role in the distribution of responsibility with regard to water quality management in the United States through evaluation of three broad sectors: urban, agriculture, and environmental water quality. Our research concludes that despite a growing intention to use a single system approach for urban, agricultural, and environmental water quality management, one does not yet exist and is even hindered by our current policies and regulations. As policy continues to lead in determining water quality and defining contamination limits, new regulation must reconcile the disparity in requirements for the contaminators and those performing end-of-pipe treatment. Just as the sustainable development indicators we researched tried to integrate environmental, economic, and social aspects without skewing focus to one of these three categories, policy cannot continue to regulate a single sector of society without considering impacts to the entire watershed and/or region. Unequal distribution of the water pollution burden creates disjointed economic growth, infrastructure development, and policy enactment across the sectors preventing a holistic approach to water quality management and, thus, rendering our system unsustainable.

Biodiversity Hotspots, Climate Change, and Agricultural Development: Global Limits of Adaptation

NASA Astrophysics Data System (ADS)

Schneider, U. A.; Rasche, L.; Schmid, E.; Habel, J. C.

2017-12-01

Terrestrial ecosystems are threatened by climate and land management change. These changes result from complex and heterogeneous interactions of human activities and natural processes. Here, we study the potential change in pristine area in 33 global biodiversity hotspots within this century under four climate projections (representative concentration pathways) and associated population and income developments (shared socio-economic pathways). A coupled modelling framework computes the regional net expansion of crop and pasture lands as result of changes in food production and consumption. We use a biophysical crop simulation model to quantify climate change impacts on agricultural productivity, water, and nutrient emissions for alternative crop management systems in more than 100 thousand agricultural land polygons (homogeneous response units) and for each climate projection. The crop simulation model depicts detailed soil, weather, and management information and operates with a daily time step. We use time series of livestock statistics to link livestock production to feed and pasture requirements. On the food consumption side, we estimate national demand shifts in all countries by processing population and income growth projections through econometrically estimated Engel curves. Finally, we use a global agricultural sector optimization model to quantify the net change in pristine area in all biodiversity hotspots under different adaptation options. These options include full-scale global implementation of i) crop yield maximizing management without additional irrigation, ii) crop yield maximizing management with additional irrigation, iii) food yield maximizing crop mix adjustments, iv) food supply maximizing trade flow adjustments, v) healthy diets, and vi) combinations of the individual options above. Results quantify the regional potentials and limits of major agricultural producer and consumer adaptation options for the preservation of pristine areas in biodiversity hotspots. Results also quantify the conflicts between food and water security, biodiversity protection, and climate change mitigation.

Biotechnology and the developing world. Finding ways to bridge the agricultural technology gap.

PubMed

Platais, K W; Collinson, M P

1992-03-01

Biotechnology is a controversial subject that involves a range of scientific principles from basic tissue culture to genetic manipulation. Proponents include private sector capitalists, public sector researchers, and developing nation governments. Opponents include environmental organizations and social organizations involved in protecting the rights of developing nations. Biotechnology is being presented as the next step after the Green Revolution and the only way that the people of the developing world will be able to feed themselves in the next half century. Research by industrialized nations world wide total an estimated $11 billion with 66% being contributed by the private sector. Biotechnology represents somewhat of a dilemma. Since the majority of the work is being done by the private sector the interests of shareholders and profit are greater done by the private sector the interests of shareholders and profit are greater than that of public welfare or safety. The Consultative Group on International Agricultural Research (CGIAR) is one public sector group that is concerned about this problem. The countries of the developing world fall into 2 categories in relation to use of biotechnology: (1) those that have the potential to adapt imported biotechnologies to local conditions; (2) those that have little or no applied research capacity to effectively use biotechnologies. Currently only Brazil, China, India, and Thailand belong in the 1st category, all other developing countries fall into the 2nd. CGIAR believes it can help in 2 ways: (1) it can provide a bridge for needed information and germplasm between developed and developing countries; (2) it can help to ensure that the agricultural needs of developing countries are not lost. In 1990 CGIAR's plant and animal biotechnology research totaled $14.5 million which was less than 5% of the total CGIAR budget. Networking and institutions building are areas that CGIAR focuses on in an attempt to increase its affect. Looking ahead the 2 major issue of biotechnology that still have to be worked out are biosafety and intellectual property management.

A Marginal Cost Based "Social Cost of Carbon" Provides Inappropriate Guidance in a World That Needs Rapid and Deep Decarbonization

NASA Astrophysics Data System (ADS)

Morgan, M. G.; Vaishnav, P.; Azevedo, I. L.; Dowlatabadi, H.

2016-12-01

Rising temperatures and changing precipitation patterns due to climate change are projected to alter many sectors of the US economy. A growing body of research has examined these effects in the energy, water, and agricultural sectors. Rising summer temperatures increase the demand for electricity. Changing precipitation patterns effect the availability of water for hydropower generation, thermo-electric cooling, irrigation, and municipal and industrial consumption. A combination of changes to temperature and precipitation alter crop yields and cost-effective farming practices. Although a significant body of research exists on analyzing impacts to individual sectors, fewer studies examine the effects using a common set of assumptions (e.g., climatic and socio-economic) within a coupled modeling framework. The present analysis uses a multi-sector, multi-model framework with common input assumptions to assess the projected effects of climate change on energy, water, and land-use in the United States. The analysis assesses the climate impacts for across 5 global circulation models for representative concentration pathways (RCP) of 8.5 and 4.5 W/m2. The energy sector models - Pacific Northwest National Lab's Global Change Assessment Model (GCAM) and the National Renewable Energy Laboratory's Regional Energy Deployment System (ReEDS) - show the effects of rising temperature on energy and electricity demand. Electricity supply in ReEDS is also affected by the availability of water for hydropower and thermo-electric cooling. Water availability is calculated from the GCM's precipitation using the US Basins model. The effects on agriculture are estimated using both a process-based crop model (EPIC) and an agricultural economic model (FASOM-GHG), which adjusts water supply curves based on information from US Basins. The sectoral models show higher economic costs of climate change under RCP 8.5 than RCP 4.5 averaged across the country and across GCM's.

Study on the context-aware middleware for ubiquitous greenhouses using wireless sensor networks.

PubMed

Hwang, Jeonghwang; Yoe, Hyun

2011-01-01

Wireless Sensor Network (WSN) technology is one of the important technologies to implement the ubiquitous society, and it could increase productivity of agricultural and livestock products, and secure transparency of distribution channels if such a WSN technology were successfully applied to the agricultural sector. Middleware, which can connect WSN hardware, applications, and enterprise systems, is required to construct ubiquitous agriculture environment combining WSN technology with agricultural sector applications, but there have been insufficient studies in the field of WSN middleware in the agricultural environment, compared to other industries. This paper proposes a context-aware middleware to efficiently process data collected from ubiquitous greenhouses by applying WSN technology and used to implement combined services through organic connectivity of data. The proposed middleware abstracts heterogeneous sensor nodes to integrate different forms of data, and provides intelligent context-aware, event service, and filtering functions to maximize operability and scalability of the middleware. To evaluate the performance of the middleware, an integrated management system for ubiquitous greenhouses was implemented by applying the proposed middleware to an existing greenhouse, and it was tested by measuring the level of load through CPU usage and the response time for users' requests when the system is working.

Combining DRGs and per diem payments in the private sector: the Equitable Payment Model.

PubMed

Hanning, Brian W T

2005-02-01

The many types of payment models used in the Australian private sector are reviewed. Their features are compared and contrasted to those desirable in an optimal private sector payment model. The EPM(TM) (Equitable Payment Model) is discussed and its consistency with the desirable features of an optimal private sector payment model outlined. These include being based on a robust classification system, nationally benchmarked length of stay (LOS) results, nationally benchmarked relative cost and encouraging continual improvement in efficiency to the benefit of both health funds and private hospitals. The advantages in the context of the private sector of EPM(TM) being a per diem model, albeit very different to current per diem models, are discussed. The advantages of EPM(TM) for hospitals and health funds are outlined.

Urinary bladder cancer T-staging from T2-weighted MR images using an optimal biomarker approach

NASA Astrophysics Data System (ADS)

Wang, Chuang; Udupa, Jayaram K.; Tong, Yubing; Chen, Jerry; Venigalla, Sriram; Odhner, Dewey; Guzzo, Thomas J.; Christodouleas, John; Torigian, Drew A.

2018-02-01

Magnetic resonance imaging (MRI) is often used in clinical practice to stage patients with bladder cancer to help plan treatment. However, qualitative assessment of MR images is prone to inaccuracies, adversely affecting patient outcomes. In this paper, T2-weighted MR image-based quantitative features were extracted from the bladder wall in 65 patients with bladder cancer to classify them into two primary tumor (T) stage groups: group 1 - T stage < T2, with primary tumor locally confined to the bladder, and group 2 - T stage < T2, with primary tumor locally extending beyond the bladder. The bladder was divided into 8 sectors in the axial plane, where each sector has a corresponding reference standard T stage that is based on expert radiology qualitative MR image review and histopathologic results. The performance of the classification for correct assignment of T stage grouping was then evaluated at both the patient level and the sector level. Each bladder sector was divided into 3 shells (inner, middle, and outer), and 15,834 features including intensity features and texture features from local binary pattern and gray-level co-occurrence matrix were extracted from the 3 shells of each sector. An optimal feature set was selected from all features using an optimal biomarker approach. Nine optimal biomarker features were derived based on texture properties from the middle shell, with an area under the ROC curve of AUC value at the sector and patient level of 0.813 and 0.806, respectively.

GIS-based agroecological assessment of land suitability for food crop development at a regional scale: A study case of Buton Island.

NASA Astrophysics Data System (ADS)

Ramlan, A.; Baja, S.; Arif, S.; Neswati, R.

2018-05-01

Agriculture has long become a prime sector for regional development in Buton Island, although local government emphasis on perennial crops. Food crop have been developed in very limited land areas, mainly on transmigration areas, as parts of central government programs. Today, the central government has launched a national strategic program on food self-sufficiency and has imposed the local government to optimize available land for cultivating food crop. The primary aim of study is to develop rapid assessment on a spatial basis using GIS for agricultural land suitability evaluation of agriculture commodities, i.e., rice (irrigated paddy field, rainfed rice) and corn (Zea maize L.). The study was undertaken using the following procedures: (i) conducting reconnaissance soil survey based on land units; (ii) constructing soil database in a GIS; and (iii) classifying land suitability using the FAO method. Spatial data were generated from digital topographic map, soil survey, soil characteristics, as well as climate data. Preliminary results indicate that quite large area available for food crop cultivation both in the context of land suitability (mostly in S2 and S3 classes) and land availability. All data bases were managed in GIS, then it is amenable to various operations in GIS to accommodate possible additional assessment including socio-economic and policy assessment.

Virtual water exported from Californian agriculture

NASA Astrophysics Data System (ADS)

Nicholas, K. A.; Johansson, E. L.

2015-12-01

In an increasingly teleconnected world, international trade drives the exchange of virtual land and water as crops produced in one region are consumed in another. In theory, this can be an optimal use of scarce resources if crops are grown where they can most efficiently be produced. Several recent analyses examine the export of land and water from food production in developing countries where these resources may be more abundant. Here we focus on a developed region and examine the virtual export of land and water from California, the leading agricultural state in the US and the leading global producer of a wide range of fruit, nut, and other specialty crops. As the region faces a serious, ongoing drought, water use is being questioned, and water policy governance re-examined, particularly in the agricultural sector which uses over three-quarters of water appropriations in the state. We look at the blue water embodied in the most widely grown crops in California and use network analysis to examine the trading patterns for flows of virtual land and water. We identify the main crops and export partners representing the majority of water exports. Considered in the context of tradeoffs for land and water resources, we highlight the challenges and opportunities for food production systems to play a sustainable role in meeting human needs while protecting the life-support systems of the planet.

Experimental analysis of performance and emission on DI diesel engine fueled with diesel-palm kernel methyl ester-triacetin blends: a Taguchi fuzzy-based optimization.

PubMed

Panda, Jibitesh Kumar; Sastry, Gadepalli Ravi Kiran; Rai, Ram Naresh

2018-05-25

The energy situation and the concerns about global warming nowadays have ignited research interest in non-conventional and alternative fuel resources to decrease the emission and the continuous dependency on fossil fuels, particularly for various sectors like power generation, transportation, and agriculture. In the present work, the research is focused on evaluating the performance, emission characteristics, and combustion of biodiesel such as palm kernel methyl ester with the addition of diesel additive "triacetin" in it. A timed manifold injection (TMI) system was taken up to examine the influence of durations of several blends induced on the emission and performance characteristics as compared to normal diesel operation. This experimental study shows better performance and releases less emission as compared with mineral diesel and in turn, indicates that high performance and low emission is promising in PKME-triacetin fuel operation. This analysis also attempts to describe the application of the fuzzy logic-based Taguchi analysis to optimize the emission and performance parameters.

Organic livestock production in Uganda: potentials, challenges and prospects.

PubMed

Nalubwama, Sylvia Muwanga; Mugisha, Anthony; Vaarst, Mette

2011-04-01

Development in organic farming has been stimulated by farmers and consumers becoming interested in healthy food products and sustainable environment. Organic agriculture is a holistic production management system which is based on the principles of health, ecology, care, and fairness. Organic development in Uganda has focused more on the crop sector than livestock sector and has primarily involved the private sector, like organic products export companies and non-governmental organizations. Agriculture in Uganda and many African countries is predominantly traditional, less mechanized, and is usually associated with minimum use of chemical fertilizers, pesticides, and drugs. This low external input agriculture also referred to as "organic by default" can create basis for organic farming where agroecological methods are introduced and present an alternative in terms of intensification to the current low-input/low-output systems. Traditional farming should not be confused with organic farming because in some cases, the existing traditional practices have consequences like overstocking and less attention to soil improvement as well as to animal health and welfare, which is contrary to organic principles of ecology, fairness, health, and care. Challenges of implementing sustainable organic practices in the Ugandan livestock sector threaten its future development, such as vectors and vector-borne diseases, organic feed insufficiency, limited education, research, and support to organic livestock production. The prospects of organic livestock development in Uganda can be enhanced with more scientific research in organic livestock production under local conditions and strengthening institutional support.

Policy in management based on corruption growth of resources agropolitan in the Gorontalo Province

NASA Astrophysics Data System (ADS)

Wantu, S. M.; Moonti, U.; Wantu, A.

2018-02-01

Gorontalo was formed as a new province in Indonesia as a producer of national maize, but until now the agropolitan-based agricultural development condition is still inadequate and needs to be developed well. Thus, it is necessary to conduct a governance-related study on empowering farmers in order to increase their capacity in exploring the agricultural sector. This study aims to see the need for local government policies in managing human resources in the agricultural sector in this case the potential and contribution of farmers in creating new jobs in rural areas. This study uses a qualitative approach to the use of secondary data and primary data as a basis for tracing or researching local government management policies in empowering farmers to improve their welfare and also how this policy is expected to organize effective market mechanisms for farmers.

An agriculture and health inter-sectorial research process to reduce hazardous pesticide health impacts among smallholder farmers in the Andes

PubMed Central

2011-01-01

Background The use of highly hazardous pesticides by smallholder farmers constitutes a classic trans-sectoral ‘wicked problem’. We share our program of research in potato and vegetable farming communities in the Andean highlands, working with partners from multiple sectors to confront this problem over several projects. Methods We engaged in iterative cycles of mixed methods research around particular questions, actions relevant to stakeholders, new proposal formulation and implementation followed by evaluation of impacts. Capacity building occurred among farmers, technical personnel, and students from multiple disciplines. Involvement of research users occurred throughout: women and men farmers, non-governmental development organizations, Ministries of Health and Agriculture, and, in Ecuador, the National Council on Social Participation. Results Pesticide poisonings were more widespread than existing passive surveillance systems would suggest. More diversified, moderately developed agricultural systems had lower pesticide use and better child nutrition. Greater understanding among women of crop management options and more equal household gender relations were associated with reduced farm pesticide use and household pesticide exposure. Involvement in more organic agriculture was associated with greater household food security and food sovereignty. Markets for safer produce supported efforts by smallholder farmers to reduce hazardous pesticide use. Participatory interventions included: promoting greater access to alternative methods and inputs in a store co-sponsored by the municipality; producing less harmful inputs such as compost by women farmers; strengthening farmer organizations around healthier and more sustainable agriculture; marketing safer produce among social sectors; empowering farmers to act as social monitors; and using social monitoring results to inform decision makers. Uptake by policy makers has included: the Ecuadorian Ministry of Health rolling out pesticide poisoning surveillance modeled on our system; the Ecuadorian Association of Municipalities holding a national virtual forum on healthier agriculture; and the Ecuadorian Ministry of Agriculture promulgating restrictions on highly hazardous pesticides in June 2010. Conclusion Work with multiple actors is needed to shift agriculture towards greater sustainability and human health, particularly for vulnerable smallholders. PMID:22165981

The trend of occupational injuries in Korea from 2001 to 2010.

PubMed

Rhee, Kyung Yong; Choe, Seong Weon; Kim, Young Sun; Koo, Kwon Ho

2013-03-01

This study is planned to assess the trend of occupational injuries in Korea from 2001 to 2010. Ten years of occupational injuries, from 2001 to 2010, were analyzed in order to investigate the changing profiles according to the various characteristics of injuries; economic sectors, age of the injured, and type of injuries. The changing profile of occupational injuries was investigated by comparison with an index-created relative value based on the number of cases of reference category. The fatalities of construction, forest, agriculture, and service show the increasing trend. The nonfatal occupational injuries of the manufacturing sector were higher than those of other sectors in every year but the fatal occupational injuries of construction workers were higher than those of the manufacturing sector. Occupational injuries occurring due to amputation and those of slip and trip increased. The number of occupational injuries for the worker groups of 24 years old and below decreased and 45 years old and above increased. In comparison to the figure of fall from height, the figures of slip and trip or caught in equipment are higher in every calendar year. This study find out construction, forest, agriculture, and service sectors, aged worker with 45 years old and over can be target population for the strategies of occupational safety.

The Trend of Occupational Injuries in Korea from 2001 to 2010

PubMed Central

Rhee, Kyung Yong; Choe, Seong Weon; Koo, Kwon Ho

2013-01-01

Objectives This study is planned to assess the trend of occupational injuries in Korea from 2001 to 2010. Methods Ten years of occupational injuries, from 2001 to 2010, were analyzed in order to investigate the changing profiles according to the various characteristics of injuries; economic sectors, age of the injured, and type of injuries. The changing profile of occupational injuries was investigated by comparison with an index-created relative value based on the number of cases of reference category. Results The fatalities of construction, forest, agriculture, and service show the increasing trend. The nonfatal occupational injuries of the manufacturing sector were higher than those of other sectors in every year but the fatal occupational injuries of construction workers were higher than those of the manufacturing sector. Occupational injuries occurring due to amputation and those of slip and trip increased. The number of occupational injuries for the worker groups of 24 years old and below decreased and 45 years old and above increased. In comparison to the figure of fall from height, the figures of slip and trip or caught in equipment are higher in every calendar year. Conclusion This study find out construction, forest, agriculture, and service sectors, aged worker with 45 years old and over can be target population for the strategies of occupational safety. PMID:23515324

Phosphorus leakage from fisheries sector - A case study in Thailand.

PubMed

Prathumchai, Nuchnapa; Polprasert, Chongchin; Englande, Andrew J

2016-12-01

Although phosphorus (P) is an essential element needed for all lives, excess P can be harmful to the environment. The objective of this study aims to determine P flows in the fisheries sector of Thailand consisting of both sea and freshwater activities of captures and cultures. Currently, the annual fisheries catch averages 3.44 ± 0.50 Mt. Most comes from marine capture 1.95 ± 0.46 Mt, followed by coastal aquaculture 0.78 ± 0.09 Mt, freshwater aquaculture 0.49 ± 0.05 Mt, and inland capture 0.22 ± 0.01 Mt. Of this total, about 11% is contained in fresh products directly sold in local markets for consumption, while 89% is sent to processing factories prior to being sold in local markets and exported. The quantities of P entering the fisheries sector come from captures, import of fisheries products and feed produced from agriculture. This P input to the fisheries sector is found to average 28,506 t P.y -1 based on the past ten-year records. Of this total, P input from captures accounts for 76%; while, 11% represents aquatic feeds from agriculture and animal manures. About 13% is obtained from the imports of fishery products. Coastal and freshwater aquacultures are found to be P consumers because their feeds are almost all produced from agricultural crops grown inland. Moreover, these activities cause most of P losses, approximately 10,188 t P·y -1 , which account for 89% of the total P loss from the fisheries sector. Overall, P in the fisheries sector is found to mobilize through three channels: (a) 44% is consumed within the country; (b) about 16% is exported; and, (c) 40% is lost from the ecosystem. Based on the results of this work it is recommended that future research be directed on ways to minimize P loss and maximize P recycle in Thailand's fisheries sector as to enhance its food security and curtail water pollution. Copyright © 2016 Elsevier Ltd. All rights reserved.

Optimizing cultivation of agricultural products using socio-economic and environmental scenarios.

PubMed

RaheliNamin, Behnaz; Mortazavi, Samar; Salmanmahiny, Abdolrassoul

2016-11-01

The combination of degrading natural conditions and resources, climate change, growing population, urban development, and competition in a global market complicate optimization of land for agricultural products. The use of pesticides and fertilizers for crop production in the agricultural fields has become excessive in the recent years and Golestan Province of Iran is no exception in this regard. For this, effective management with an efficient and cost-effective practice should be undertaken, maintaining public service at a high level and preserving the environment. Improving the production efficiency of agriculture, efficient use of water resources, decreasing the use of pesticides and fertilizers, improving farmer revenue, and conservation of natural resources are the main objectives of the allocation, ranking, and optimization of agricultural products. The goal of this paper is to use an optimization procedure to lower the negative effects of agriculture while maintaining a high production rate, which is currently a gap in the study area. We collected information about fertilizer and pesticide consumption and other data in croplands of eastern Golestan Province through face-to-face interviews with farmers to optimize cultivation of the agricultural products. The toxicity of pesticides according to LD50 was also included in the optimization model. A decision-support software system called multiple criteria analysis tool was used to simultaneously minimize consumption of water, chemical fertilizers, and pesticides and maximize socio-economic returns. Three scenarios for optimization of agricultural products were generated that alternatively emphasized on environmental and socio-economic goals. Comparing socio-economic and environmental performance of the optimized agricultural products under the three scenarios illustrated the conflict between social, economic, and environmental objectives. Of the six crops studied (wheat, barley, rice, soybeans, oilseed rape, and maize), rice ranked second in the social and fifth in the economic scenarios. Soybeans had the lowest rank for economic and social scenarios and its cultivation in the study area, in terms of economic and social goals, was rejected by the model. However, cultivation of soybeans continues in the area as a responsibility to cater for the major need of the country. Because of subsidized prices of water, fertilizers, and pesticides, the use of these items are far from optimized in the current agricultural practices in the area.

Deployment Area Selection and Land Withdrawal/Acquisition. M-X/MPS (M-X/Multiple Protective Shelter) Environmental Technical Report. Economic Model.

DTIC Science & Technology

1981-10-02

Estimated non-residential building development . 176 D-I Correspondence between RIMS sectors and 1974 Census of Agriculture reporting categories. 185 D-2...deployment would be the development of new economic sectors . For example, building an M-X operating N.’ base or DDA facilities in a county would be likely...construction sectors . For the rural Nevada/Utah ROI counties, many of these location quotients are significantly less than one and in many cases zero because

Land Conservation in an Evolving Agricultural Industry: Trade-offs to Consider

NASA Astrophysics Data System (ADS)

Baker, J. S.; Murray, B. C.; McCarl, B. A.; Jackson, R. B.

2008-12-01

This study analyzes the interactions of land conservation policy with biofuel expansion using an economic model of the U.S. forest and agricultural sectors. The world agricultural industry is changing rapidly under emerging market and policy-based pressures. An important driver in the U.S. is the Renewable Fuels Standard (RFS), which mandates significant expansion in biofuels production (up to 36 billion gallons/year by 2022). Traditional land conservation practices such as the Conservation Reserve Program (CRP) are at risk in this changing agricultural climate, as the opportunity costs of reverting to cropland continue to rise. Large- scale reversion of CRP acreage is likely to lead to substantial losses in soil carbon, biodiversity, soil erosion protection, and water quality. However, given the increased competition for land resources, continued efforts to maintain the CRP could induce land use change (LUC) and agricultural development from even more sensitive ecosystems, including native grasslands and forests. This study uses economic modeling to study CRP reversion and LUC under multiple scenarios, including: 1) Baseline assumptions of growth in world agricultural demand and energy prices, with and without CRP reversion; 2) Implementation of the RFS while maintaining the CRP; and 3) RFS with CRP reversion allowed. The study is done using the FASOMGHG model (Lee, McCarl et al, 2008), which is well suited for this analysis as it: 1) Depicts land use competition between crops, pasture, CRP, and forestry over a 100 year period 2) Contains comprehensive GHG accounting across the sectors, 3) Allows land in the CRP to revert to cultivation at an economically optimal rate as land values increase, and 4) Extensively models biofuel and conventional agricultural production possibilities. Results generated to date show significant reversion to cultivation, even under the baseline (36% of the total CRP stock by 2020). Implementing the RFS further pressures conservation practices (exhibiting a 53.4% reversion rate). This reversion is a logical, low cost extensification of crop land; higher reversion rates are observed where agricultural land is most valuable, such as in Iowa and Illinois. Forecasted CRP re-cultivation accompanies environmental degradation in the form of increased chemical applications, irrigation water use and soil erosion relative to the baseline. However, if the CRP is maintained at current levels then this would shift LUC to other conversions, including a greater loss of forest amounting to 6.3 million acres relative to a case where land in CRP freely reverts. This increase in deforestation is likely to spill over into other countries as well. The net carbon loss of deforested land negates the carbon benefits of maintaining the CRP in its current state. Thus, while the environmental impacts of re-cultivating conservation lands are potentially serious, maintaining the CRP in its current form could induce LUC and even greater GHG and environmental emissions. The study concludes by discussing the environmental and economic trade-offs of land conservation under the aforementioned scenarios, and offers policy recommendations for future land conservation initiatives.

Essays on agricultural adaptation to climate change and ethanol market integration in the U.S

NASA Astrophysics Data System (ADS)

Aisabokhae, Ruth Ada

Climate factors like precipitation and temperature, being closely intertwined with agriculture, make a changing climate a big concern for the entire human race and its basic survival. Adaptation to climate is a long-running characteristic of agriculture evidenced by the varying types and forms of agricultural enterprises associated with differing climatic conditions. Nevertheless climate change poses a substantial, additional adaptation challenge for agriculture. Mitigation encompasses efforts to reduce the current and future extent of climate change. Biofuels production, for instance, expands agriculture's role in climate change mitigation. This dissertation encompasses adaptation and mitigation strategies as a response to climate change in the U.S. by examining comprehensively scientific findings on agricultural adaptation to climate change; developing information on the costs and benefits of select adaptations to examine what adaptations are most desirable, for which society can further devote its resources; and studying how ethanol prices are interrelated across, and transmitted within the U.S., and the markets that play an important role in these dynamics. Quantitative analysis using the Forestry and Agricultural Sector Optimization Model (FASOM) shows adaptation to be highly beneficial to agriculture. On-farm varietal and other adaptations contributions outweigh a mix shift northwards significantly, implying progressive technical change and significant returns to adaptation research and investment focused on farm management and varietal adaptations could be quite beneficial over time. Northward shift of corn-acre weighted centroids observed indicates that substantial production potential may shift across regions with the possibility of less production in the South, and more in the North, and thereby, potential redistribution of income. Time series techniques employed to study ethanol price dynamics show that the markets studied are co-integrated and strongly related, with the observable high levels of interaction between all nine cities. Information is transmitted rapidly between these markets. Price seems to be discovered (where shocks originate from) in regions of high demand and perhaps shortages, like Los Angeles and Chicago (metropolitan population centers). The Maximum Likelihood approach following Spiller and Huang's model however shows cities may not belong to the same economic market and the possibility of arbitrage does not exist between all markets.

Integrating a Detailed Agricultural Model in a Global Economic Framework: New methods for assessment of climate mitigation and adaptation opportunities

NASA Astrophysics Data System (ADS)

Thomson, A. M.; Izaurralde, R. C.; Calvin, K.; Zhang, X.; Wise, M.; West, T. O.

2010-12-01

Climate change and food security are global issues increasingly linked through human decision making that takes place across all scales from on-farm management actions to international climate negotiations. Understanding how agricultural systems can respond to climate change, through mitigation or adaptation, while still supplying sufficient food to feed a growing global population, thus requires a multi-sector tool in a global economic framework. Integrated assessment models are one such tool, however they are typically driven by historical aggregate statistics of production in combination with exogenous assumptions of future trends in agricultural productivity; they are not yet capable of exploring agricultural management practices as climate adaptation or mitigation strategies. Yet there are agricultural models capable of detailed biophysical modeling of farm management and climate impacts on crop yield, soil erosion and C and greenhouse gas emissions, although these are typically applied at point scales that are incompatible with coarse resolution integrated assessment modeling. To combine the relative strengths of these modeling systems, we are using the agricultural model EPIC (Environmental Policy Integrated Climate), applied in a geographic data framework for regional analyses, to provide input to the global economic model GCAM (Global Change Assessment Model). The initial phase of our approach focuses on a pilot region of the Midwest United States, a highly productive agricultural area. We apply EPIC, a point based biophysical process model, at 60 m spatial resolution within this domain and aggregate the results to GCAM agriculture and land use subregions for the United States. GCAM is then initialized with multiple management options for key food and bioenergy crops. Using EPIC to distinguish these management options based on grain yield, residue yield, soil C change and cost differences, GCAM then simulates the optimum distribution of the available management options to meet demands for food and energy over the next century. The coupled models provide a new platform for evaluating future changes in agricultural management based on food demand, bioenergy demand, and changes in crop yield and soil C under a changing climate. This framework can be applied to evaluate the economically and biophysically optimal distribution of management under future climates.

Highlights of the International Symposium on Plant Lipids, 18th ISPL 2008, Bordeaux July 20–25th, 2008

USDA-ARS?s Scientific Manuscript database

Plant lipids are of considerable interest in economic sectors such as agriculture, food, health and the cosmetics industry. In addition, the sector of renewable energies is showing increasing interest in the field of plant lipids. Our society is highly dependent on raw fossil materials whose reserve...

Manpower Needs in a Technological Society and Their Implications for Education.

ERIC Educational Resources Information Center

Ginzberg, Eli

While the impact of technology has been considerable on those sectors of the American economy whose output consists of volume production (e.g., agriculture, manufacture, and mining), it has been relatively small on the service sector, where two-thirds of all Americans make their living. Trends which should be taken into account by curriculum…

Lessons for Co-Innovation in Agricultural Innovation Systems: A Multiple Case Study Analysis and a Conceptual Model

ERIC Educational Resources Information Center

Fielke, Simon J.; Botha, Neels; Reid, Janet; Gray, David; Blackett, Paula; Park, Nicola; Williams, Tracy

2018-01-01

Purpose: This paper highlights important lessons for co-innovation drawn from three ex-post case study innovation projects implemented within three sub-sectors of the primary industry sector in New Zealand. Design/methodology/approach: The characteristics that fostered co-innovation in each innovation project case study were identified from…

Economic potential of short-rotation woody crops on agricultural land for pulp fiber production in the United States.

Treesearch

Ralph J. Alig; Darius M. Adams; Bruce A. McCarl; Peter J. Ince

2000-01-01

A model of the U.S. forestry and agricultural sectors is used to simulate the consequences of growing short-rotation woody crops on agricultural lands as a fiber source for pulp and paper production. Hybrid poplar, a short-rotation woody crop, annually produces 4 to 7 dry tons per acre of hardwood pulpwood over a 6- to 10-year rotation. When harvested, the material...

Senegal: The Economic Reforms and the Influence of the Informal Sector on the Economic Reform Process

DTIC Science & Technology

2002-06-01

policies were implemented: the Agricultural Policy (NAP), and the New Industrial Policy (NIP). The NAP reduced the number of rural development agencies as...planned to solve the economic crisis through various measures such as the Agricultural Policy (NAP) and the New Industrial Policy (NIP). Despite all...Mission For the Republic of Congo NAP: New Agricultural Policy NIP: New Industrial Policy OECD: Organization for Economic Cooperation and

Optimal allocation of land and water resources to achieve Water, Energy and Food Security in the upper Blue Nile basin

NASA Astrophysics Data System (ADS)

Allam, M.; Eltahir, E. A. B.

2017-12-01

Rapid population growth, hunger problems, increasing energy demands, persistent conflicts between the Nile basin riparian countries and the potential impacts of climate change highlight the urgent need for the conscious stewardship of the upper Blue Nile (UBN) basin resources. This study develops a framework for the optimal allocation of land and water resources to agriculture and hydropower production in the UBN basin. The framework consists of three optimization models that aim to: (a) provide accurate estimates of the basin water budget, (b) allocate land and water resources optimally to agriculture, and (c) allocate water to agriculture and hydropower production, and investigate trade-offs between them. First, a data assimilation procedure for data-scarce basins is proposed to deal with data limitations and produce estimates of the hydrologic components that are consistent with the principles of mass and energy conservation. Second, the most representative topography and soil properties datasets are objectively identified and used to delineate the agricultural potential in the basin. The agricultural potential is incorporated into a land-water allocation model that maximizes the net economic benefits from rain-fed agriculture while allowing for enhancing the soils from one suitability class to another to increase agricultural productivity in return for an investment in soil inputs. The optimal agricultural expansion is expected to reduce the basin flow by 7.6 cubic kilometres, impacting downstream countries. The optimization framework is expanded to include hydropower production. This study finds that allocating water to grow rain-fed teff in the basin is more profitable than allocating water for hydropower production. Optimal operation rules for the Grand Ethiopian Renaissance dam (GERD) are identified to maximize annual hydropower generation while achieving a relatively uniform monthly production rate. Trade-offs between agricultural expansion and hydropower generation are analysed in an attempt to define cooperation scenarios that would achieve win-win outcomes for all riparian countries.

Study on Web-Based Tool for Regional Agriculture Industry Structure Optimization Using Ajax

NASA Astrophysics Data System (ADS)

Huang, Xiaodong; Zhu, Yeping

According to the research status of regional agriculture industry structure adjustment information system and the current development of information technology, this paper takes web-based regional agriculture industry structure optimization tool as research target. This paper introduces Ajax technology and related application frameworks to build an auxiliary toolkit of decision support system for agricultural policy maker and economy researcher. The toolkit includes a “one page” style component of regional agriculture industry structure optimization which provides agile arguments setting method that enables applying sensitivity analysis and usage of data and comparative advantage analysis result, and a component that can solve the linear programming model and its dual problem by simplex method.

Systematic Review to Identify Skill Needs for Agrifood Nanotechnology Workforce

ERIC Educational Resources Information Center

Yawson, Robert M.

2017-01-01

As nanotechnology continues to advance in food and agriculture, there is the need for pragmatic decisions as to how to prepare the workforce. A comprehensive systematic evidence review (SER) and analysis of the literature to identify skill needs for the emerging agrifood nanotechnology sector and to determine how agricultural education can…

Private Agricultural Extension System in Kenya: Practice and Policy Lessons

ERIC Educational Resources Information Center

Muyanga, Milu; Jayne, T. S.

2008-01-01

Private extension system has been at the centre of a debate triggered by inefficient public agricultural extension. The debate is anchored on the premise that the private sector is more efficient in extension service delivery. This study evaluates the private extension system in Kenya. It employs qualitative and quantitative methods. The results…

Immunological dysfunction in periparturient cows: Evidence, causes and ramifications

USDA-ARS?s Scientific Manuscript database

With a $40.5 billion Gross Domestic Value for milk produced in the U.S. during 2013, the dairy industry was the third largest sector of the 2013 U.S. animal agriculture economic engine. The value of milk produced in 2013 represented 24% of the total value of animal agriculture production; this figu...

Community Change and the Farm Sector: Impacts of Rural Development on Agriculture.

ERIC Educational Resources Information Center

Beaulieu, Lionel J.; Molnar, Joseph J.

Findings from current literature form the basis for this examination of five critical elements of change and development within the local community setting which impact on agriculture: population, employment, land, water, and environment. Renewed rural population growth during the 1970's has reversed small farm trends but placed strains on local…

Human Capital, Social Classes, and the Earnings Determination Process in Brazilian Agriculture.

ERIC Educational Resources Information Center

Neves, Jorge A.; Haller, Archibald O.; Fernandes, Danielle C.

This paper examines the process of earnings determination in the agricultural sector of Brazil. Among the main causal factors analyzed are human capital (education and work experience), labor market segmentation, gender, social class position, level of development/modernization, and concentration of land ownership. Data on individuals employed in…

Promoting inclusive water governance and forecasting the structure of water consumption based on compositional data: A case study of Beijing.

PubMed

Wei, Yigang; Wang, Zhichao; Wang, Huiwen; Yao, Tang; Li, Yan

2018-09-01

Water is centrally important for agricultural security, environment, people's livelihoods, and socio-economic development, particularly in the face of extreme climate changes. Due to water shortages in many cities, the conflicts between various stakeholders and sectors over water use and allocation are becoming more common and intense. Effective inclusive governance of water use is critical for relieving water use conflicts. In addition, reliable forecasting of the structure of water usage among different sectors is a basic need for effective water governance planning. Although a large number of studies have attempted to forecast water use, little is known about the forecasted structure and trends of water use in the future. This paper aims to develop a forecasting model for the structure of water usage based on compositional data. Compositional data analysis is an effective approach for investigating the internal structure of a system. A host of data transformation methods and forecasting models were adopted and compared in order to derive the best-performing model. According to mean absolute percent error for compositional data (CoMAPE), a hyperspherical-transformation-based vector autoregression model for compositional data (VAR-DRHT) is the best-performing model. The proportions of the agricultural, industrial, domestic and environmental water will be 6.11%, 5.01%, 37.48% and 51.4% by 2020. Several recommendations for water inclusive development are provided to give a better account for the optimization of the water use structure, alleviation of water shortages, and improving stake holders' wellbeing. Overall, although we focus on groundwater, this study presents a powerful framework broadly applicable to resource management. Copyright © 2018 Elsevier B.V. All rights reserved.

Integrated Approach of Agri-nanotechnology: Challenges and Future Trends

PubMed Central

Mishra, Sandhya; Keswani, Chetan; Abhilash, P. C.; Fraceto, Leonardo F.; Singh, Harikesh Bahadur

2017-01-01

Nanotechnology representing a new frontier in modern agriculture is anticipated to become a major thrust in near future by offering potential applications. This integrating approach, i.e., agri-nanotechnology has great potential to cope with global challenges of food production/security, sustainability and climate change. However, despite the potential benefits of nanotechnology in agriculture so far, their relevance has not reached up to the field conditions. The elevating concerns about fate, transport, bioavailability, nanoparticles toxicity and inappropriateness of regulatory framework limit the complete acceptance and inclination to adopt nanotechnologies in agricultural sector. Moreover, the current research trends lack realistic approach that fail to attain comprehensive knowledge of risk assessment factors and further toxicity of nanoparticles toward agroecosystem components viz. plant, soil, soil microbiomes after their release into the environment. Hence in the present review we attempt to suggest certain key points to be addressed in the current and future agri-nanotechnology researches on the basis of recognized knowledge gaps with strong recommendation of incorporating biosynthesized nanoparticles to carry out analogous functions. In this perspective, the major points are as follows: (i) Mitigating risk assessment factors (responsible for fate, transport, behavior, bioavailability and toxicity) for alleviating the subsequent toxicity of nanoparticles. (ii) Optimizing permissible level of nanoparticles dose within the safety limits by performing dose dependent studies. (iii) Adopting realistic approach by designing the experiments in natural habitat and avoiding in vitro assays for accurate interpretation. (iv) Most importantly, translating environmental friendly and non-toxic biosynthesized nanoparticles from laboratory to field conditions for agricultural benefits. PMID:28421100

Reducing vector-borne disease by empowering farmers in integrated vector management.

PubMed

van den Berg, Henk; von Hildebrand, Alexander; Ragunathan, Vaithilingam; Das, Pradeep K

2007-07-01

Irrigated agriculture exposes rural people to health risks associated with vector-borne diseases and pesticides used in agriculture and for public health protection. Most developing countries lack collaboration between the agricultural and health sectors to jointly address these problems. We present an evaluation of a project that uses the "farmer field school" method to teach farmers how to manage vector-borne diseases and how to improve rice yields. Teaching farmers about these two concepts together is known as "integrated pest and vector management". An intersectoral project targeting rice irrigation systems in Sri Lanka. Project partners developed a new curriculum for the field school that included a component on vector-borne diseases. Rice farmers in intervention villages who graduated from the field school took vector-control actions as well as improving environmental sanitation and their personal protection measures against disease transmission. They also reduced their use of agricultural pesticides, especially insecticides. The intervention motivated and enabled rural people to take part in vector-management activities and to reduce several environmental health risks. There is scope for expanding the curriculum to include information on the harmful effects of pesticides on human health and to address other public health concerns. Benefits of this approach for community-based health programmes have not yet been optimally assessed. Also, the institutional basis of the integrated management approach needs to be broadened so that people from a wider range of organizations take part. A monitoring and evaluation system needs to be established to measure the performance of integrated management initiatives.

A coupled human-natural system to assess the operational value of weather and climate services for agriculture

NASA Astrophysics Data System (ADS)

Li, Yu; Giuliani, Matteo; Castelletti, Andrea

2017-09-01

Recent advances in weather and climate (W&C) services are showing increasing forecast skills over seasonal and longer timescales, potentially providing valuable support in informing decisions in a variety of economic sectors. Quantifying this value, however, might not be straightforward as better forecast quality does not necessarily imply better decisions by the end users, especially when forecasts do not reach their final users, when providers are not trusted, or when forecasts are not appropriately understood. In this study, we contribute an assessment framework to evaluate the operational value of W&C services for informing agricultural practices by complementing traditional forecast quality assessments with a coupled human-natural system behavioural model which reproduces farmers' decisions. This allows a more critical assessment of the forecast value mediated by the end users' perspective, including farmers' risk attitudes and behavioural factors. The application to an agricultural area in northern Italy shows that the quality of state-of-the-art W&C services is still limited in predicting the weather and the crop yield of the incoming agricultural season, with ECMWF annual products simulated by the IFS/HOPE model resulting in the most skillful product in the study area. However, we also show that the accuracy of estimating crop yield and the probability of making optimal decisions are not necessarily linearly correlated, with the overall assessment procedure being strongly impacted by the behavioural attitudes of farmers, which can produce rank reversals in the quantification of the W&C services operational value depending on the different perceptions of risk and uncertainty.

Modeling Nutrient Release in the Tai Lake Basin of China: Source Identification and Policy Implications

NASA Astrophysics Data System (ADS)

Liu, Beibei; Liu, Heng; Zhang, Bing; Bi, Jun

2013-03-01

Because nutrient enrichment has become increasingly severe in the Tai Lake Basin of China, identifying sources and loads is crucial for watershed nutrient management. This paper develops an empirical framework to estimate nutrient release from five major sectors, which requires fewer input parameters and produces acceptable accuracy. Sectors included are industrial manufacturing, livestock breeding (industrial and family scale), crop agriculture, household consumption (urban and rural), and atmospheric deposition. Results show that in the basin (only the five sectors above), total nutrient loads of nitrogen (N) and phosphorus (P) into aquatic systems in 2008 were 33043.2 tons N a-1 and 5254.4 tons P a-1, and annual area-specific nutrient loads were 1.94 tons N km-2 and 0.31 tons P km-2. Household consumption was the major sector having the greatest impact (46 % in N load, 47 % in P load), whereas atmospheric deposition (18 %) and crop agriculture (15 %) sectors represented other significant proportions of N load. The load estimates also indicate that 32 % of total P came from the livestock breeding sector, making it the second largest phosphorus contributor. According to the nutrient pollution sectors, six best management practices are selected for cost-effectiveness analysis, and feasible options are recommended. Overall, biogas digester construction on industrial-scale farms is proven the most cost-effective, whereas the building of rural decentralized facilities is the best alternative under extreme financial constraint. However, the reduction potential, average monetary cost, and other factors such as risk tolerance of policy makers should all be considered in the actual decision-making process.

Material saving by means of CWR technology using optimization techniques

NASA Astrophysics Data System (ADS)

Pérez, Iñaki; Ambrosio, Cristina

2017-10-01

Material saving is currently a must for the forging companies, as material costs sum up to 50% for parts made of steel and up to 90% in other materials like titanium. For long products, cross wedge rolling (CWR) technology can be used to obtain forging preforms with a suitable distribution of the material along its own axis. However, defining the correct preform dimensions is not an easy task and it could need an intensive trial-and-error campaign. To speed up the preform definition, it is necessary to apply optimization techniques on Finite Element Models (FEM) able to reproduce the material behaviour when being rolled. Meta-models Assisted Evolution Strategies (MAES), that combine evolutionary algorithms with Kriging meta-models, are implemented in FORGE® software and they allow reducing optimization computation costs in a relevant way. The paper shows the application of these optimization techniques to the definition of the right preform for a shaft from a vehicle of the agricultural sector. First, the current forging process, based on obtaining the forging preform by means of an open die forging operation, is showed. Then, the CWR preform optimization is developed by using the above mentioned optimization techniques. The objective is to reduce, as much as possible, the initial billet weight, so that a calculation of flash weight reduction due to the use of the proposed preform is stated. Finally, a simulation of CWR process for the defined preform is carried out to check that most common failures (necking, spirals,..) in CWR do not appear in this case.

Three Dimensional Sector Design with Optimal Number of Sectors

NASA Technical Reports Server (NTRS)

Xue, Min

2010-01-01

In the national airspace system, sectors get overloaded due to high traffic demand and inefficient airspace designs. Overloads can be eliminated in some cases by redesigning sector boundaries. This paper extends the Voronoi-based sector design method by automatically selecting the number of sectors, allowing three-dimensional partitions, and enforcing traffic pattern conformance. The method was used to design sectors at Fort-Worth and Indianapolis centers for current traffic scenarios. Results show that new designs can eliminate overloaded sectors, although not in all cases, reduce the number of necessary sectors, and conform to major traffic patterns. Overall, the new methodology produces enhanced and efficient sector designs.

Agricultural Incentives: Implications for Small-Scale and Subsistence Farming in the US Caribbean Islands

NASA Astrophysics Data System (ADS)

Alvarez-Berrios, N.; Parés-Ramos, I.; Gould, W. A.

2017-12-01

The effects of climate change threaten the world's most sensitive agroecosystems and our potential to reach agricultural productivity levels needed to feed a projected global population of 9.7 billion people by 2050. The US Caribbean agriculture is especially vulnerable to the effects of climate change, due to the region's frequent exposure to extreme weather events, its geographic and economic scale, shortage of labor force, and rapid urban expansion. Currently, agriculture contributes less than 1% of the island's GDP, and over 80% of the food consumed in the region is imported. Despite low production levels, there is widespread interest in reinvigorating the agricultural sector's contribution to the economy. Local and federal institutions play a major role strengthening the agricultural sector by providing access to incentives, loans, and education for best management practices. However, many of these efforts conform to agricultural systems of larger scale of production and temperate environments. In this study, we explore agricultural incentives programs and their implication for highly diverse, small-scale, and subsistence operations that characterize agricultural systems in Puerto Rico and the US Virgin Islands. We analyze records and maps from the USDA Farm Service Agency, to typify participating farms, and to track changes in land cover, farm size, crop diversity, practices, and production levels resulting from their enrollment in such programs. Preliminary results indicate that many incentives programs are not tailored to agricultural tropical systems and prescribe alternatives that exclude traditional farming methods employed in small-scale and subsistence farms (e.g. crop insurance that benefit monoculture over intercropped systems). Moreover, many of the incentives are contradictory in their recommendations (e.g., crop insurance benefit sun-grown coffee production, while best agricultural practices recommend agroforestry with shade-grown coffee). Understanding the characteristics that underlie the resilience of traditional agriculture is an urgent matter, as they can serve as the basis for the design of agricultural systems that mitigate projected climate changes.

Sector trends and driving forces of global energy use and greenhouse gas emissions: focus in industry and buildings

DOE Office of Scientific and Technical Information (OSTI.GOV)

Price, Lynn; Worrell, Ernst; Khrushch, Marta

Disaggregation of sectoral energy use and greenhouse gas emissions trends reveals striking differences between sectors and regions of the world. Understanding key driving forces in the energy end-use sectors provides insights for development of projections of future greenhouse gas emissions. This report examines global and regional historical trends in energy use and carbon emissions in the industrial, buildings, transport, and agriculture sectors, with a more detailed focus on industry and buildings. Activity and economic drivers as well as trends in energy and carbon intensity are evaluated. The authors show that macro-economic indicators, such as GDP, are insufficient for comprehending trendsmore » and driving forces at the sectoral level. These indicators need to be supplemented with sector-specific information for a more complete understanding of future energy use and greenhouse gas emissions.« less

Spanish strategy on bioeconomy: Towards a knowledge based sustainable innovation.

PubMed

Lainez, Manuel; González, José Manuel; Aguilar, Alfredo; Vela, Carmen

2018-01-25

Spain launched its own strategy on bioeconomy in January 2016 aiming at boosting a bioeconomy based on the sustainable and efficient production and use of biological resources. It highlights global societal challenges related with agricultural and biotechnological sciences in Spain and the great dynamism of the private sectors involved, particularly the agri-food, biotech and biomass sectors. The targeted sectors are food, agriculture and forestry, conditioned by water availability. It also includes the production of those industrial bioproducts and bioenergy obtained from the use and valorisation of wastes and residues and other non-conventional sources of biomass, in a circular economy. The strategy also puts a focus on rural and coastal development through several uses and services linked to ecosystems. The capacity to generate know-how in this area and the promotion of public and private collaboration are important pillars in order to enhance existing value chains and to create new ones. The strategy is led by R&I and Agriculture, Food and Environment policy managers and largely supported at regional level too. The strategic objective is the maintenance of the bioeconomy as an essential part of Spanish economy to contribute to the economic growth by creating new jobs and fostering investments. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Linking Outdoor Recreation and Economic Development: A Feasibility Assessment of the Obed Wild and Scenic River, Tennessee

Treesearch

Charles B. Sims; Donald G. Hodges; Del Scruggs

2004-01-01

Rural economies in many parts of the United States have undergone significant changes over the past two decades. Faltering economies historically based on traditional economic sectors like agriculture and manufacturing are transitioning to retail and service sectors to support growth. One example of such an industry is resource-based recreation and tourism. Tourists...

Agricultural Change and the Rise of the British Strawberry Industry, 1920-2009

ERIC Educational Resources Information Center

Calleja, E. J.; Ilbery, B.; Mills, P. R.

2012-01-01

Little research has been conducted on structural change within the UK horticultural sector. This paper examines long-term changes, over a 90-year period, in one particular part of the UK horticultural sector: strawberries. It follows its growth from being a minor crop in 1920 to becoming the biggest grossing horticultural crop in 2009. Using a…

Review of optimization techniques of polygeneration systems for building applications

NASA Astrophysics Data System (ADS)

Y, Rong A.; Y, Su; R, Lahdelma

2016-08-01

Polygeneration means simultaneous production of two or more energy products in a single integrated process. Polygeneration is an energy-efficient technology and plays an important role in transition into future low-carbon energy systems. It can find wide applications in utilities, different types of industrial sectors and building sectors. This paper mainly focus on polygeneration applications in building sectors. The scales of polygeneration systems in building sectors range from the micro-level for a single home building to the large- level for residential districts. Also the development of polygeneration microgrid is related to building applications. The paper aims at giving a comprehensive review for optimization techniques for designing, synthesizing and operating different types of polygeneration systems for building applications.

Health care access and health care workforce for immigrant workers in the agriculture, forestry, and fisheries sector in the southeastern US.

PubMed

Frank, Arthur L; Liebman, Amy K; Ryder, Bobbi; Weir, Maria; Arcury, Thomas A

2013-08-01

The Agriculture, Forestry, and Fishery (AgFF) Sector workforce in the US is comprised primarily of Latino immigrants. Health care access for these workers is limited and increases health disparities. This article addresses health care access for immigrant workers in the AgFF Sector, and the workforce providing care to these workers. Immigrant workers bear a disproportionate burden of poverty and ill health and additionally face significant occupational hazards. AgFF laborers largely are uninsured, ineligible for benefits, and unable to afford health services. The new Affordable Care Act will likely not benefit such individuals. Community and Migrant Health Centers (C/MHCs) are the frontline of health care access for immigrant AgFF workers. C/MHCs offer discounted health services that are tailored to meet the special needs of their underserved clientele. C/MHCs struggle, however, with a shortage of primary care providers and staff prepared to treat occupational illness and injury among AgFF workers. A number of programs across the US aim to increase the number of primary care physicians and care givers trained in occupational health at C/MHCs. While such programs are beneficial, substantial action is needed at the national level to strengthen and expand the C/MHC system and to establish widely Medical Home models and Accountable Care Organizations. System-wide policy changes alone have the potential to reduce and eliminate the rampant health disparities experienced by the immigrant workers who sustain the vital Agricultural, Forestry, and Fishery sector in the US. Copyright © 2013 Wiley Periodicals, Inc.

Virtual Water Transfers in U.S. Cities from Domestic Commodity Flows

NASA Astrophysics Data System (ADS)

Ahams, I. C.; Mejia, A.; Paterson, W.

2015-12-01

Cities have imported water into their boundaries for centuries but understanding how cities indirectly affect watersheds through the commodities which they import is fairly unknown. Thus, we present and discuss here a methodology for determining the virtual water transfers to and from U.S. cities associated with domestic commodity flows. For our methodology, we only consider agricultural and industrial commodities and, to represent the commodity flows, we use the Freight Analysis Framework (FAF) dataset from the U.S. Department of Transportation. Accordingly, we determine virtual water transfers for the 123 geographic regions in the FAF, which consists of 17 states, 73 metropolitan statistical areas (MSAs), and 33 remainders of states. Out of the 41 sectors that comprise the FAF data, we consider only the 29 sectors that account for the agricultural and industrial commodities. Using both water use data for macro-sectors and national water use coefficients for different industries, we determine a weighted water use coefficient for each of the 29 sectors considered. Ultimately, we use these weighted coefficients to estimate virtual water transfers and the water footprint for each city. Preliminary comparisons with other water footprint estimates indicate that our methodology yields reasonable results. In terms of the water footprint, we find that cities (i.e. MSAs) are net consumers, can consume a large proportion of their own production, and can have a large agricultural production. We also find that the per capita water footprint of industrial consumption decreases with increasing population in cities, suggesting that large cities may be more efficient.

Immune Dysfunction in Transition Dairy Cows: Pharmacologic and Dietary Immune Modulation

USDA-ARS?s Scientific Manuscript database

With a $40.5 billion Gross Domestic Value for milk produced in the U.S. during 2013, the dairy industry was the third largest sector of the 2013 U.S. animal agriculture economic engine. The value of milk produced in 2013 represented 24% of the total value of animal agriculture production; this figu...

Immunological dysfunction role in transition dairy cow health disorders: biotherapeutics for disease prevention

USDA-ARS?s Scientific Manuscript database

With a $40.5 billion Gross Domestic Value for milk produced in the U.S. during 2013, the dairy industry was the third largest sector of the 2013 U.S. animal agriculture economic engine. The value of milk produced in 2013 represented 24% of the total value of animal agriculture production; this figu...

Adjustment Strategies Revisited: Agricultural Change in the Welsh Marches

ERIC Educational Resources Information Center

Evans, Nick

2009-01-01

In the late 1980s and early 1990s, much attention was paid by British agricultural geographers to the restructuring of the farm sector under pressures of national, European and global change. The need to adopt a perspective capable of looking beyond the farm gate inspired the introduction of modified political economy approaches into agricultural…

Projecting carbon footprint of Canadian dairy farms under future climate conditions with the integrated farm system model

USDA-ARS?s Scientific Manuscript database

Dairy farms are an important sector of Canadian agriculture, and there is an on-going effort to assess their environmental impact. In Canada, like many northern areas of the world, climate change is expected to increase agricultural productivity. This will likely come along with changes in environme...

Projecting trends in agronomic, economic, and environmental performance of Canadian dairy farms under future climate conditions

USDA-ARS?s Scientific Manuscript database

Climate change is expected to increase agricultural productivity in Canada as in many northern areas in the world. This will likely come along with changes in the environmental and economic performance of dairy farms, one of the most important agricultural sectors in Canada. The objective of this s...

China Report, Economic Affairs.

DTIC Science & Technology

1987-03-23

Jan 87) ................ 49 FINANCE, BANKING Shanghai’s Role as Asian Financial Center (Gao Xiaoxiao; CHING-CHI TAO-PAO, No 47, 24 Nov 86) ..... 51 -b...Feb 87) ........................... 57 AGRICULTURE World Bank Loans Used for Soil Improvement (XINHUA, 19 Dec 86...redistribution, the transfer of industrial profits to non- industrial sectors, such as transportation, banking , and agriculture, is also possible

Solar Program Assessment: Environmental Factors - Solar Agricultural and Industrial Process Heat.

ERIC Educational Resources Information Center

Energy Research and Development Administration, Washington, DC. Div. of Solar Energy.

The purpose of this report is to present and prioritize the major environmental issues associated with the further development of solar energy as a source of process heat in the industrial and agricultural sectors. To provide a background for this environmental analysis, the basic concepts and technologies of solar process heating are reviewed.…

Immune dysfunction in periparturient dairy cows: Insight into pharmacologic and dietary immune treatments

USDA-ARS?s Scientific Manuscript database

With a $40.5 billion Gross Domestic Value for milk produced in the U.S. during 2013, the dairy industry was the third largest sector of the 2013 U.S. animal agriculture economic engine. The value of milk produced in 2013 represented 24% of the total value of animal agriculture production; this figu...

Ammonia Emissions from the Agriculture Sector of Argentina in a Context of Changing Technologies and Practices

NASA Astrophysics Data System (ADS)

Dawidowski, L. E.

2015-12-01

Agriculture is a key sector of the Argentinean economy, accounting for 6 to 8 5% of the GDP in the last ten years. Argentina switched in the 90´s from an articulated co-evolution between extensive livestock and crop farming, with annual rotation of crops and livestock, to intensive decoupled practices. Under these new production schemes, ecosystems were supplied with more nutrients, generating increasing levels of wastes. Other changes have also occurred, associated with the shift of the agricultural frontier and the consequent reduction in the cattle stock. In addition, changes related to climate through the strong increase in rainfall in the 80s and 90s in the west Pampas, helped to boost agricultural development. The agriculture sector accounts for practically all NH3 emissions in Argentina, however no inventory has been thus far available. To bridge this gap and particularly to have accurate input information to run coupled atmospheric chemistry models for secondary inorganic aerosols, we estimated 2000-2012 NH3 emissions, both at national and spatially disaggregated levels. Of particular interest for us was also temporal disaggregation as crops growing and temperature exhibit strong seasonal variability. As no NH3 inventory was available we also estimated related N2O emissions to verify our estimates with those of national GHG emission inventory (NEI). National NH3 emissions in 2012 amounted to 309.9 Gg, use of fertilizers accounted for 43.6%, manure management 18,9%, manure in pasture 36,0% and agricultural waste burning 1.5%. Our N2O estimates are in good agreement with the GHG-NEI. NH3 estimates in the EDGAR database for 2008 are 84.0% higher than ours for this year, and exhibit more significant differences per category, namely 113,6% higher for use of fertilizers and about 500% higher for agricultural waste burning. Urea dominates national NH3 emissions, accounting for 32,8% of the total and its use for wheat and corn crops dominates the trend.

Representative concentration pathways and mitigation scenarios for nitrous oxide

NASA Astrophysics Data System (ADS)

Davidson, Eric A.

2012-06-01

The challenges of mitigating nitrous oxide (N2O) emissions are substantially different from those for carbon dioxide (CO2) and methane (CH4), because nitrogen (N) is essential for food production, and over 80% of anthropogenic N2O emissions are from the agricultural sector. Here I use a model of emission factors of N2O to demonstrate the magnitude of improvements in agriculture and industrial sectors and changes in dietary habits that would be necessary to match the four representative concentration pathways (RCPs) now being considered in the fifth assessment report (AR5) of the Intergovernmental Panel on Climate Change (IPCC). Stabilizing atmospheric N2O by 2050, consistent with the most aggressive of the RCP mitigation scenarios, would require about 50% reductions in emission factors in all sectors and about a 50% reduction in mean per capita meat consumption in the developed world. Technologies exist to achieve such improved efficiencies, but overcoming social, economic, and political impediments for their adoption and for changes in dietary habits will present large challenges.

Estimation and projection of nitrous oxide (N2O) emissions from anthropogenic sources in Taiwan.

PubMed

Tsai, Wen-Tien; Chyan, Jih-Ming

2006-03-01

Taiwan is a densely populated and developed country with more than 97% of energy consumption supplied by imported fuels. Greenhouse gas emissions are thus becoming significant environmental issues in the country. Using the Intergovernmental Panel on Climate Change (IPCC) recommended methodologies, anthropogenic emissions of nitrous oxide (N2O) in Taiwan during 2000-2003 were estimated to be around 41 thousand metric tons annually. About 87% of N2O emissions come from agriculture, 7% from the energy sector, 3% from industrial processes sector, 3% from waste sector. On the basis of N2O emissions in 2000, projections for the year 2010 show that emissions were estimated to decline by about 6% mainly due to agricultural changes in response to the entry of WTO in 2002. In contrast to projections for the year 2020, N2O emissions were projected to grow by about 17%. This is based on the reasonable scenario that a new adipic acid/nitric acid plant will be probably started after 2010.

Interdicting an Adversary’s Economy Viewed As a Trade Sanction Inoperability Input Output Model

DTIC Science & Technology

2017-03-01

set of sectors. The design of an economic sanction, in the context of this thesis, is the selection of the sector or set of sectors to sanction...We propose two optimization models. The first, the Trade Sanction Inoperability Input-output Model (TS-IIM), selects the sector or set of sectors that...Interdependency analysis: Extensions to demand reduction inoperability input-output modeling and portfolio selection . Unpublished doctoral dissertation

Agricultural Groundwater Demands in the Conterminous United States

NASA Astrophysics Data System (ADS)

Ho, M. W.; Parthasarathy, V.; Etienne, E.; Russo, T. A.; Devineni, N.; Lall, U.

2016-12-01

In the conterminous United States (CONUS), over 40% of water consumed for irrigation, livestock and domestic water is sourced from groundwater. The late 20th century and 21st century saw an expansion in irrigated agriculture across the CONUS that was accompanied by increased pumping of groundwater. Groundwater is typically used to mitigate impacts of drought on surface water supplies enabling water demands to be met as well as to augment sparse surface water resources in arid regions or where surface water availability is highly variable temporally and/or spatially. A Demand Sensitive Drought Index (DSDI) is used to examine the impacts of agricultural water needs on groundwater in the CONUS. The DSDI accounts for agricultural water deficits driven by low precipitation, high agricultural water demand, or a combination of both. Changes in groundwater levels relative to agricultural water deficits are characterized relative to precipitation during the growing season and winter precipitation. In several key irrigated agricultural regions in the CONUS, long-term trends in groundwater levels appear to reflect prolonged periods of surface water deficits resulting from land use and associated unsustainable water demands. These areas are subsequent unable to recover from persistent states of agricultural drought. Conversely, reductions in agricultural water demands for crops do not necessarily lead to immediate recovery of groundwater levels due to the demand for groundwater in other sectors. Calls to establish or reform groundwater policies have recently been made in an effort to achieve holistic groundwater management strategies that consider the human demands on both surface water and groundwater. There is a need for relevant groundwater policies to ensure that water demands are adequately managed across sectors without unsustainably depleting groundwater resources and to ensure efficient economic activity.

Winners and losers of national and global efforts to reconcile agricultural intensification and biodiversity conservation.

PubMed

Egli, Lukas; Meyer, Carsten; Scherber, Christoph; Kreft, Holger; Tscharntke, Teja

2018-05-01

Closing yield gaps within existing croplands, and thereby avoiding further habitat conversions, is a prominently and controversially discussed strategy to meet the rising demand for agricultural products, while minimizing biodiversity impacts. The agricultural intensification associated with such a strategy poses additional threats to biodiversity within agricultural landscapes. The uneven spatial distribution of both yield gaps and biodiversity provides opportunities for reconciling agricultural intensification and biodiversity conservation through spatially optimized intensification. Here, we integrate distribution and habitat information for almost 20,000 vertebrate species with land-cover and land-use datasets. We estimate that projected agricultural intensification between 2000 and 2040 would reduce the global biodiversity value of agricultural lands by 11%, relative to 2000. Contrasting these projections with spatial land-use optimization scenarios reveals that 88% of projected biodiversity loss could be avoided through globally coordinated land-use planning, implying huge efficiency gains through international cooperation. However, global-scale optimization also implies a highly uneven distribution of costs and benefits, resulting in distinct "winners and losers" in terms of national economic development, food security, food sovereignty or conservation. Given conflicting national interests and lacking effective governance mechanisms to guarantee equitable compensation of losers, multinational land-use optimization seems politically unlikely. In turn, 61% of projected biodiversity loss could be avoided through nationally focused optimization, and 33% through optimization within just 10 countries. Targeted efforts to improve the capacity for integrated land-use planning for sustainable intensification especially in these countries, including the strengthening of institutions that can arbitrate subnational land-use conflicts, may offer an effective, yet politically feasible, avenue to better reconcile future trade-offs between agriculture and conservation. The efficiency gains of optimization remained robust when assuming that yields could only be increased to 80% of their potential. Our results highlight the need to better integrate real-world governance, political and economic challenges into sustainable development and global change mitigation research. © 2018 John Wiley & Sons Ltd.

A National Scale Sustainable Agriculture Matrix of Indicators to Inform Policy

NASA Astrophysics Data System (ADS)

Davidson, E. A.; Zhang, X.

2017-12-01

The ratification of Sustainable Development Goals (SDGs) by all member countries of the United Nations demonstrates the determination of the international community in moving towards a sustainable future. To enable and encourage accountability, independent and transparent measurements of national sustainability efforts are essential. Among all sectors, agriculture is fundamental to all three pillars of sustainability, namely environment, society, and economy. However, the definition of a sustainable agriculture and the feasibility of measuring it remain elusive, in part because it encompasses both biophysical and socio-economic components that are still poorly integrated. Therefore, we have been developing a Sustainable Agriculture Matrix (SAM) on a national scale in order to measure country-level performance in agriculture. First proposed by Swaminathan for agricultural research and policy in 1990s, SAM is a collection of indicators measuring sustainable agriculture from environmental, social, and economic dimensions. The environmental dimension evaluates various impacts of agricultural production on the environment, such as water consumption and nutrient pollution. The economic dimension quantifies the costs and benefits for major stakeholders involved in agricultural production, including government, industry, farmers, and consumers. The social dimension considers three major aspects: 1) social welfare (e.g., hunger and poverty rate, nutritional quality, demography of rural community); 2) equity over sectors, space, and gender (e.g., access to resources/services and opportunities, distribution of income, land ownership and tenure rights); 3) systemic risk (e.g., fragility of the global agricultural production and trade system, resilience of a farm or a country to market and natural shocks). Translating the illustrative concepts into measureable indicators will not only provide an independent and transparent measurement of national performance in the sustainability of agriculture production, which is at the center of Water-Energy-Food nexus, but also provide timely information to help guide evolving national policies regarding agriculture, trade, environment, and national security.

Creating Good Employment Opportunities for the Rural Sector

PubMed Central

Foster, Andrew D.

2013-01-01

This paper examines the potential for sector-specific productivity growth, human capital, credit markets, and infrastructure to contribute to the development of stable, well-paid employment in rural areas of low-income countries. Particular emphasis is placed on the way that different sectors of the rural economy interact with each other and with local and regional product markets. A simple theoretical framework and descriptive analysis of panel data from India suggests that more emphasis should be placed on increasing the production of goods that incorporate local agricultural products as inputs. PMID:25883938

Household water demand and welfare loss for future Europe

NASA Astrophysics Data System (ADS)

Bernhard, Jeroen; Reynaud, Arnaud; Lanzanova, Denis; de Roo, Ad

2015-04-01

Matching the availability of water to its demand in Europe is a major challenge for the future due to expected economic and demographic developments and climate change. This means there is a growing need to estimate future water demand and to optimize the water allocation to all end users to counteract welfare loss. At the European scale it is currently not possible to assess the impact of social and economic changes on future water demand or to prioritize water allocation amongst different sectors based on economic damage without extensive use of assumptions and generalizations. Indeed, our review of existing regional optimization models for Europe reveals that the social-economic component of the water use system needs to be improved by complementing them with detailed water use estimates and cost/benefit functions in order to determine the optimal situation. Our study contributes to closing this knowledge gap for the European household sector by quantifying future water demand and the effect of water pricing, as well as providing a method for the calculation of monetary damage due to unmet demand at the highest spatial resolution possible. We used a water demand function approach in which household water consumption depends upon some exogenous drivers including water price, household income, population and household characteristics and climate conditions. For each European country, the annual water consumption per capita was calculated at regional level (NUTS3) and subsequently disaggregated to five kilometer grid level based on a population density map. In order to produce estimates of water demand, the evolution of the explanatory variables of the water demand functions and population density map were simulated until 2050 based on related variables such as GDP and demographic projections. The results of this study will be integrated into the JRC hydro-economic modelling framework for an assessment of the Water-Agriculture-Energy-Ecosystems Nexus.

Modeling nutrient release in the Tai Lake basin of China: source identification and policy implications.

PubMed

Liu, Beibei; Liu, Heng; Zhang, Bing; Bi, Jun

2013-03-01

Because nutrient enrichment has become increasingly severe in the Tai Lake Basin of China, identifying sources and loads is crucial for watershed nutrient management. This paper develops an empirical framework to estimate nutrient release from five major sectors, which requires fewer input parameters and produces acceptable accuracy. Sectors included are industrial manufacturing, livestock breeding (industrial and family scale), crop agriculture, household consumption (urban and rural), and atmospheric deposition. Results show that in the basin (only the five sectors above), total nutrient loads of nitrogen (N) and phosphorus (P) into aquatic systems in 2008 were 33043.2 tons N a(-1) and 5254.4 tons P a(-1), and annual area-specific nutrient loads were 1.94 tons N km(-2) and 0.31 tons P km(-2). Household consumption was the major sector having the greatest impact (46 % in N load, 47 % in P load), whereas atmospheric deposition (18 %) and crop agriculture (15 %) sectors represented other significant proportions of N load. The load estimates also indicate that 32 % of total P came from the livestock breeding sector, making it the second largest phosphorus contributor. According to the nutrient pollution sectors, six best management practices are selected for cost-effectiveness analysis, and feasible options are recommended. Overall, biogas digester construction on industrial-scale farms is proven the most cost-effective, whereas the building of rural decentralized facilities is the best alternative under extreme financial constraint. However, the reduction potential, average monetary cost, and other factors such as risk tolerance of policy makers should all be considered in the actual decision-making process.

A nitrogen budget for Denmark; developments between 1990 and 2010, and prospects for the future

NASA Astrophysics Data System (ADS)

Hutchings, N. J.; Nielsen, O.-K.; Dalgaard, T.; Mikkelsen, M. H.; Børgesen, C. D.; Thomsen, M.; Ellermann, T.; Højberg, A. L.; Mogensen, L.; Winther, M.

2014-11-01

A nitrogen (N) budget for Denmark has been developed for the years 1990 to 2010, describing the inputs and outputs at the national scale and the internal flows between relevant sectors of the economy. Satisfactorily closing the N budgets for some sectors of the economy was not possible, due to missing or contradictory information. The budgets were nevertheless considered sufficiently reliable to quantify the major flows. Agriculture was responsible for the majority of inputs, though fisheries and energy generation also made significant contributions. Agriculture was the main source of N input to the aquatic environment, whereas agriculture, energy generation and transport all contributed to emissions of reactive N gases to the atmosphere. Significant reductions in inputs of reactive N have been achieved during the 20 years, mainly by restricting the use of N for crop production and improving livestock feeding. This reduction has helped reduce nitrate leaching by about half. Measures to limit ammonia emissions from agriculture and mono-nitrogen oxides (NOx) emissions from energy generation and transport, has reduced gaseous emissions of reactive N. Much N flows through the food and feed processing industries and there is a cascade of N through the consumer to solid and liquid waste management systems. The budget was used to frame a discussion of the potential for further reductions in losses of reactive N to the environment. These will include increasing the recycling of N between economic sectors, increasing the need for the assessment of knock-on effects of interventions within the context of the national N cycle.

Myconanotechnology in agriculture: a perspective.

PubMed

Kashyap, Prem Lal; Kumar, Sudheer; Srivastava, Alok Kumar; Sharma, Arun Kumar

2013-02-01

Myconanotechnology is an emerging field, where fungi can be harnessed for the synthesis of nanomaterials or nanostructures with desirable shape and size. Though myconanotechnology is in its infancy, potential applications provide exciting waves of transformation in agriculture and fascinate microbiologists and other researchers to contribute in providing incremental solutions through green chemistry approaches for advancing food security. In this article, we provide a brief overview of the research efforts on the mycogenic synthesis of nanoparticles with particular emphasis on mechanisms and potential applications in agriculture and allied sectors.

32 CFR 245.12 - Amplifying instructions.

Code of Federal Regulations, 2010 CFR

2010-07-01

... flights, agricultural and forest fire flights, border patrol flights, and other essential civil air... Defense Sector (NEADS) Boston, Chicago, Cleveland, Minneapolis, New York, Indianapolis, Kansas City...

Evaluating multiple indices of agricultural water use efficiency and productivity to improve comparisons between sites and trends

NASA Astrophysics Data System (ADS)

Levy, M. C.

2012-12-01

Approximately 70% of global available freshwater supplies are used in the agricultural sector. Increased demands for water to meet growing population food requirements, and expected changes in the reliability of freshwater supplies due to climate change, threaten the sustainability of water supplies worldwide - not only on farms, but in connected cities and industries. Researchers concerned with agricultural water use sustainability use a variety of theoretical and empirical measures of efficiency and productivity to gain insight into the sustainability of agricultural water use. However, definitions of measures, or indices, vary between different natural and political boundaries, across regions, states and nations and between their respective research, industry, and environmental groups. Index development responds to local data availability and local agendas, and there is debate about the validity of various indices. However, real differences in empirical index measures are not well-understood across the multiple disciplines that study agricultural water use, including engineering and hydrology, agronomy, climate and soil sciences, and economics. Nevertheless reliable, accessible, and generalizable indices are required for planners and policymakers to promote sustainable water use systems. This study synthesizes a set of water use efficiency and productivity indices based on academic, industry and government literature in California and Australia, two locations with similarly water-stressed and valuable agricultural industries under pressure to achieve optimal water use efficiency and productivity. Empirical data at the irrigation district level from the California San Joaquin Valley and Murray Darling Basin states of Victoria and New South Wales in Australia are used to compute indices that estimate efficiency, yield productivity, and economic productivity of agricultural water use. Multiple index estimates of same time-series data demonstrate historical spread in efficiency and productivity measures in different agricultural regions. Individual indices consistently over- or under- estimate trends in efficiency and productivity by their construction, and may provide inaccurate results in years with extreme climatic events, such as droughts. By treating multiple indices as an "ensemble" of measures, analogous to the treatment of multiple climate model predictions, this study quantifies likely "true" states of efficiency and productivity in the selected agricultural regions, and error in individual indices. While different individual indices are preferable at different scales, and relative to the quality of available input data, ensemble indices can be more reliably used in comparative study across different agricultural regions, and for prediction.

The U.S. Farm Sector in the Mid-1980's. Agricultural Economic Report Number 548.

ERIC Educational Resources Information Center

Reimund, Donn A.; And Others

This report compares several farm characteristics of the mid-1980s with those of a decade earlier to document the real amount of change in the farm sector. Farms are stratified into five groups based on their farm income: rural residence, small family, family, large family, and very large. Sources and levels of farm operator income and wealth are…

Estonia’s Strategic Future

DTIC Science & Technology

2015-04-01

produced exports. However, the dairy and fisheries sectors have been adversely impacted by Russian counter-sanctions. Tourism , which comprises...However, the tourism , agricultural and logistics sectors remain more closely tied to the Russian market and were predicted to see sharp declines in...materials, sporting goods, toys, etc., have already reported a loss in 2014. Companies, who operate in Russia for the Russian market and operate in rubles

Economic modeling of effects of climate change on the forest sector and mitigation options: a compendium of briefing papers

Treesearch

Ralph J. Alig

2010-01-01

This report is a compilation of six briefing papers based on literature reviews and syntheses, prepared for U.S. Department of Agriculture, Forest Service policy analysts and decisionmakers about specific questions pertaining to climate change. The main topics addressed here are economic effects on the forest sector at the national and global scales, costs of forest...

Geothermal development plan: Yuma County

NASA Astrophysics Data System (ADS)

White, D. H.; Goldstone, L. A.

1982-08-01

The potential for utilizing geothermal energy was evaluated. Four potential geothermal resource areas with temperatures less than 900C (1940F) were identified, and in addition, two areas are inferred to contain geothermal resources with intermediate temperature potential. The resource areas are isolated. One resource site contains a hot dry rock resource. Anticipated population growth in the county is expected to be 2% per year over the next 40 years. The primary employment sector is agriculture, though some light industry is located in the county. Water supplies are found to be adequate to support future growth without adverse affect on agriculture. In addition, several agricultural processors were found, concentrated in citrus processing and livestock raising. It is suggested that by the year 2000, geothermal energy may economically provide the energy equivalent of 53,000 barrels of oil per year to the industrial sector if developed privately. Geothermal utilization projections increase to 132,000 barrels of oil per year by 2000 if a municipal utility developed the resource.

A web-tool to find spatially explicit climate-smart solutions for the sector agriculture

NASA Astrophysics Data System (ADS)

Verzandvoort, Simone; Kuikman, Peter; Walvoort, Dennis

2017-04-01

Europe faces the challenge to produce more food and more biomass for the bio-economy, to adapt its agricultural sector to negative consequences of climate change, and to reduce greenhouse gas emissions from agriculture. Climate-smart agriculture (CSA) solutions and technologies improve agriculture's productivity and provide economic growth and stability, increase resilience, and help to reduce GHG emissions from agricultural activities. The Climate Smart Agriculture Booster (CSAb) (http://csabooster.climate-kic.org/) is a Flagship Program under Climate-KIC, aiming to facilitate the adoption of CSA solutions and technologies in the European agro-food sector. This adoption requires spatially explicit, contextual information on farming activities and risks and opportunities related to climate change in regions across Europe. Other spatial information supporting adoption includes Information on where successful implementations were already done, on where CSA would profit from enabling policy conditions, and where markets or business opportunities for selling or purchasing technology and knowledge are located or emerging. The Spatial Solution Finder is a web-based spatial tool aiming to help agri-food companies (supply and processing), authorities or agricultural organisations find CSA solutions and technologies that fit local farmers and regions, and to demonstrate examples of successful implementations as well as expected impact at the farm and regional level. The tool is based on state of the art (geo)datasets of environmental and socio-economic conditions (partly open access, partly derived from previous research) and open source web-technology. The philosophy of the tool is that combining existing datasets with contextual information on the region of interest with personalized information entered by the user provides a suitable basis for offering a basket of options for CSA solutions and technologies. Solutions and technologies are recommended to the user based on similarity matrices assigning scores based on criteria relating to the technology (applicability, benefits, costs) and set by the user. The tool is being developed as part of the CSA Booster Flagship Programme in 2017. The design enables embedding the tool in the Open Innovation Platform of the CSAb and in other European platforms, communities and market places on the Internet related to natural capital and innovations. Continuous updating with new functionality and additional datasets during its lifetime is possible and secures that the tool remains up to date.

Research on prediction of agricultural machinery total power based on grey model optimized by genetic algorithm

NASA Astrophysics Data System (ADS)

Xie, Yan; Li, Mu; Zhou, Jin; Zheng, Chang-zheng

2009-07-01

Agricultural machinery total power is an important index to reflex and evaluate the level of agricultural mechanization. It is the power source of agricultural production, and is the main factors to enhance the comprehensive agricultural production capacity expand production scale and increase the income of the farmers. Its demand is affected by natural, economic, technological and social and other "grey" factors. Therefore, grey system theory can be used to analyze the development of agricultural machinery total power. A method based on genetic algorithm optimizing grey modeling process is introduced in this paper. This method makes full use of the advantages of the grey prediction model and characteristics of genetic algorithm to find global optimization. So the prediction model is more accurate. According to data from a province, the GM (1, 1) model for predicting agricultural machinery total power was given based on the grey system theories and genetic algorithm. The result indicates that the model can be used as agricultural machinery total power an effective tool for prediction.

Adaptation strategies for water supply management in a drought prone Mediterranean river basin: Application of outranking method.

PubMed

Kumar, Vikas; Del Vasto-Terrientes, Luis; Valls, Aida; Schuhmacher, Marta

2016-01-01

The regional water allocation planning is one of those complex decision problems where holistic approach to water supply management considering different criteria would be valuable. However, multi-criteria decision making with diverse indicators measured on different scales and uncertainty levels is difficult to solve. Objective of this paper is to develop scenarios for the future imbalances in water supply and demand for a water stressed Mediterranean area of Northern Spain (Tarragona) and to test the applicability and suitability of an outranking method ELECTRE-III-H for evaluating sectoral water allocation policies. This study is focused on the use of alternative water supply scenarios to fulfil the demand of water from three major sectors: domestic, industrial and agricultural. A detail scenario planning for regional water demand and supply has been discussed. For each future scenario of climate change, the goal is to obtain a ranking of a set of possible actions with regards to different types of indicators (costs, water stress and environmental impact). The analytical method used is based on outranking models for decision aid with hierarchical structures of criteria and ranking alternatives using partial preorders based on pairwise preference relations. We compare several adaptation measures including alternative water sources (reclaimed water and desalination); inter basin water transfer and sectoral demand management coming from industry, agriculture and domestic sectors and tested the sustainability of management actions for different climate change scenarios. Results have shown use of alternative water resources as the most reliable alternative with medium reclaimed water reuse in industry and agriculture and low to medium use of desalination water in domestic and industrial sectors as the best alternative. The proposed method has several advantages such as the management of heterogeneous scales of measurement without requiring any artificial transformation and the management of uncertainty by means of comparisons at a qualitative level in terms of the decision maker preferences. Copyright © 2015 Elsevier B.V. All rights reserved.

What is the difference between a 2, 3, 4, or 5 °C world and how good are we at telling this difference? Results from ISI-MIP the first Inter-Sectoral Impact Model Intercomparison Project

NASA Astrophysics Data System (ADS)

Frieler, K.; Huber, V.; Piontek, F.; Schewe, J.; Serdeczny, O.; Warszawski, L.

2012-12-01

The Inter-sectoral Impact Model Intercomparison Project (ISI-MIP) aims to synthesize the state-of-the-art knowledge of climate change impacts at different levels of global warming. Over 25 climate impact modelling teams from around the world, working within the agriculture, water, biomes, infrastructure and health sectors, are collaborating to find answers to the question "What is the difference between a 2, 3, 4, or 5 °C world and how good are we at telling this difference?". The analysis is based on common, bias-corrected climate projections, and socio-economic pathways. The first, fast-tracked phase of the ISI-MIP has a focus on global impact models. The project's experimental design is formulated to distinguish the uncertainty introduced by the impact models themselves, from the inherent uncertainty in the climate projections and the variety of plausible socio-economic futures. Novel metrics, developed to emphasize societal impacts, will be used to identify regional 'hot-spots' of climate change impacts, as well as to quantify the cross-sectoral impact of the increasing frequency of extreme events in future climates. We present here first results from the Fast-Track phase of the project covering impact simulations in the biomes, agriculture and water sectors, in which the societal impacts of climate change are quantified for different levels of global warming. We also discuss the design of the scenario set-up and impact indicators chosen to suit the unique cross-sectoral, multi-model nature of the project.

Migrant Agricultural Labor in Wisconsin: A Short History. Institute for Research on Poverty Discussion Papers.

ERIC Educational Resources Information Center

Slesinger, Doris P.; Muirragui, Eileen

Examining the relationship between certain sectors of Wisconsin agriculture and their need for seasonal workers, the paper traces the use of farm workers of European origin in the early 1900's through their replacement in the 1930's by Hispanic migrants (Mexican nationals and people of Mexican heritage living in southern Texas) and the use of…

Estimated values of carbon sequestration resulting from forest management scenarios

Treesearch

R. Bluffstone; J. Coulston; R.G. Haight; J. Kline; S. Polasky; D.N. Wear; K. Zook

2017-01-01

Recent USDA policies, such as the Building Blocks for Climate Smart Agriculture and Forestry, aim to sequester and mitigate greenhouse gases in the forestry and agriculture sectors in the United States. To make informed decisions, the USDA will need to evaluate the carbon benefits of various potential policies. In this paper, we use detailed forest inventory data to...

Ecological and economic impacts of forest policies: interactions across forestry and agriculture.

Treesearch

R.J. Alig; D.M. Adams; B.A. McCarl

1998-01-01

A linked model of the US forest and agriculture sectors was used to examine the economic and ecological impacts of two forest policies: a minimum harvest age limitation and a reduced public harvest policy. Simulated private responses to both policies indicate that landowners could undertake a range of adjustments to minimize their welfare impacts, but imposition of...

Privatisation of Agricultural Advisory Services and Consequences for the Dairy Farmers in the Mantaro Valley, Peru

ERIC Educational Resources Information Center

Faure, G.; Huamanyauri, M. K.; Salazar, I.; Gómez, C.; de Nys, E.; Dulcire, M.

2017-01-01

Purpose: The private sector's presence in agricultural advisory services worldwide has been on the increase for over three decades. This trend has also been observed in the Mantaro Valley (Peru), in a context of dairy family farming. The objective of the article is to analyse the modalities of advisory services privatisation and assess the…

A Case Study of Rural Industrialization in Jamestown, North Dakota. Agricultural Economics Report No. 95.

ERIC Educational Resources Information Center

Helgeson, Delmer L.; Zink, Maurice J.

The study's objectives were to: (1) determine the criteria used by industry in the selection of an area as a plant site; (2) measure the interdependence and economic impact that a manufacturing sector has on an agriculturally dominated rural area; and (3) evaluate employees' attitudes toward their new jobs in manufacturing. Jamestown, North Dakota…

Student Perceptions of Agricultural Education Programme Processes at Selected High Schools in KwaZulu-Natal Province, South Africa

ERIC Educational Resources Information Center

Kidane, T. T.; Worth, S. H.

2014-01-01

Purpose: This study investigates student perceptions of different aspects of Agricultural Education and Training (AET) programme processes that have been offered in secondary schools by the formal educational sector in the province of KwaZulu-Natal, South Africa. The study seeks to identify the existing shortcomings in the implementation of the…

A comparative study of the modes of transference of surplus labor in China's countryside.

PubMed

Feng, L; Jiang, W

1988-09-01

The problems posed by the recent development of a surplus labor force in rural areas of China are examined. Separate consideration is given to ways to absorb this surplus both within and outside the agricultural sector, agricultural labor migration to other rural areas, and rural-urban migration. The implications for urbanization and migration policy are reviewed.

Agricultural Innovation Systems and Farm Technology Adoption: Findings from a Study of the Ghanaian Plantain Sector

ERIC Educational Resources Information Center

Weyori, Alirah Emmanuel; Amare, Mulubrhan; Garming, Hildegard; Waibel, Hermann

2018-01-01

Purpose: We assess farm technology adoption in an integrated analysis of social networks and innovation in plantain production in Ghana. The paper explores the strength of social networks in the agricultural innovation systems (AISs) and the effect of AISs on adoption of improved farm technology. Methodology/Approach: The paper uses social network…

Agricultural, domestic and handicraft folk uses of plants in the Tyrrhenian sector of Basilicata (Italy)

PubMed Central

Salerno, Giovanni; Guarrera, Paolo Maria; Caneva, Giulia

2005-01-01

Background Research was carried out into agricultural and domestic-handicraft uses in folk traditions in the Tyrrhenian sector of the Basilicata region (southern Italy), as it is typically representative of ethnobotanical applications in the Mediterranean area. From the point of view of furnishing a botanical support for the study of local "material culture" data was collected through field interviews of 49 informants, most of whom were farmers. Results The taxa cited are 60, belonging to 32 botanical families, of which 18 are employed for agricultural uses and 51 for domestic-handicraft folk uses. Data show a diffuse use of plants for many purposes, both in agricultural (present uses 14%; past uses 1%) and for domestic-handicraft use (present uses 40%; past uses 45%); most of the latter are now in decline. Conclusion 60 data look uncommon or typical of the places studied. Some domestic-handicraft folk uses are typical of southern Italy (e.g. the use of Ampelodesmos mauritanicus for making ties, ropes, torches, baskets or that of Acer neapolitanum for several uses). Other uses (e.g. that of Inula viscosa and Calamintha nepeta for peculiar brooms, and of Origanum heracleoticum for dyeing wool red) are previously unpublished. PMID:16270919

Climate change mitigation: the potential of agriculture as a renewable energy source in Nigeria.

PubMed

Elum, Z A; Modise, D M; Nhamo, G

2017-02-01

Energy is pivotal to the economic development of every nation. However, its production and utilization leads to undesirable carbon emissions that aggravate global warming which results in climate change. The agriculture sector is a significant user of energy. However, it has the potential to be a major contributor to Nigeria's energy supply mix in meeting its energy deficit. More so, in the light of current and impending adverse effects of climate change, there is a need to contain GHG's emissions. This paper focuses on bioenergy utilization as a climate change mitigation strategy and one that can, through effective waste management, enhance sustainable economic development in Nigeria. The paper employed a critical discourse analysis to examine the potential of the agricultural sector to provide biofuels from energy crops and other biomass sources. We conclude that Nigeria can reduce its GHG emissions and greatly contribute to global climate change mitigation while also alleviating its energy supply deficit if the agricultural and municipal wastes readily available in its towns and cities are converted to bioenergy. Such engagements will not only promote a clean and healthy environment but also create jobs for economic empowerment and a better standard of living for the people.

Identifying Decision Support Tools to Bridge Climate and Agricultural Needs in the Midwest

NASA Astrophysics Data System (ADS)

Hall, B. L.; Kluck, D. R.; Hatfield, J.; Black, C.; Kellner, O.; Woloszyn, M.; Timlin, M. S.

2015-12-01

Climate monitoring tools designed to help stakeholders reduce climate impacts have been developed for the primary Midwest field crops of corn and soybean. However, the region also produces vital livestock and specialty crops that currently lack similar climate monitoring and projection tools. In autumn 2015, the National Oceanic and Atmospheric Administration's (NOAA's) National Integrated Drought Information System (NIDIS) and Midwestern Regional Climate Center (MRCC) partnered with the US Department of Agriculture's Midwest Climate Hub to convene agriculture stakeholders, climate scientists, and climate service specialists to discuss climate impacts and needs for these two, often under-represented, sectors. The goals of this workshop were to (1) identify climate impacts that specialty crops and livestock producers face within the Midwest, (2) develop an understanding of the types of climate and weather information and tools currently available in the Midwest that could be applied to decision making, and (3) discover the types of climate and weather information and tools needed to address concerns of specialty crop and livestock commodities across the Midwest. This presentation will discuss the workshop and provide highlights of the outcomes that developed into strategic plans for the future to better serve these sectors of agriculture in the Midwest.

Current biotechnological developments in Belgium.

PubMed

Masschelein, C A; Callegari, J P; Laurent, M; Simon, J P; Taeymans, D

1989-01-01

In recent years, actions have been undertaken by the Belgian government to promote process innovation and technical diversification. Research programs are initiated and coordinated by the study committee for biotechnology setup within the Institute for Scientific Research in Industry and Agriculture (IRSIA). As a result of this action, the main areas where biotechnological processes are developed or commercially exploited include plant genetics, protein engineering, hybridoma technology, biopesticides, production by genetic engineering of vaccines and drugs, monoclonal detection of human and animal deseases, process reactors for aerobic and anaerobic wastewater treatment, and genetic modification of yeast and bacteria as a base for biomass and energy. Development research also includes new fermentation technologies principally based on immobilization of microorganisms, reactor design, and optimization of unit operations involved in downstream processing. Food, pharmaceutical, and chemical industries are involved in genetic engineering and biotechnology and each of these sectors is overviewed in this paper.

On the choice of farm management practices after the reform of the Common Agricultural Policy in 2003.

PubMed

Schmid, Erwin; Sinabell, Franz

2007-02-01

The Common Agricultural Policy (CAP) was fundamentally reformed in 2003. From 2005, farmers will receive decoupled income support payments instead of production premiums if basic standards for environment, food safety, animal health and welfare are met. Farmers are likely to adjust production and management practices to the new policy framework. We describe how this reform fits into the EU strategy of making agricultural production more environmentally friendly by concentrating on the financial aspects of the reforms. Using an agricultural sector model for Austria, we show that the reform will further decrease agricultural outputs, reduce farm inputs, lessen nitrogen surpluses and make environmentally friendly management practices more attractive for farmers.

Sector-specific issues and reporting methodologies supporting the General Guidelines for the voluntary reporting of greenhouse gases under Section 1605(b) of the Energy Policy Act of 1992. Volume 1: Part 1, Electricity supply sector; Part 2, Residential and commercial buildings sector; Part 3, Industrial sector

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

DOE encourages you to report your achievements in reducing greenhouse gas emissions and sequestering carbon under this program. Global climate change is increasingly being recognized as a threat that individuals and organizations can take action against. If you are among those taking action, reporting your projects may lead to recognition for you, motivation for others, and synergistic learning for the global community. This report discusses the reporting process for the voluntary detailed guidance in the sectoral supporting documents for electricity supply, residential and commercial buildings, industry, transportation, forestry, and agriculture. You may have reportable projects in several sectors; you maymore » report them separately or capture and report the total effects on an entity-wide report.« less

Environmental tipping points significantly affect the cost-benefit assessment of climate policies.

PubMed

Cai, Yongyang; Judd, Kenneth L; Lenton, Timothy M; Lontzek, Thomas S; Narita, Daiju

2015-04-14

Most current cost-benefit analyses of climate change policies suggest an optimal global climate policy that is significantly less stringent than the level required to meet the internationally agreed 2 °C target. This is partly because the sum of estimated economic damage of climate change across various sectors, such as energy use and changes in agricultural production, results in only a small economic loss or even a small economic gain in the gross world product under predicted levels of climate change. However, those cost-benefit analyses rarely take account of environmental tipping points leading to abrupt and irreversible impacts on market and nonmarket goods and services, including those provided by the climate and by ecosystems. Here we show that including environmental tipping point impacts in a stochastic dynamic integrated assessment model profoundly alters cost-benefit assessment of global climate policy. The risk of a tipping point, even if it only has nonmarket impacts, could substantially increase the present optimal carbon tax. For example, a risk of only 5% loss in nonmarket goods that occurs with a 5% annual probability at 4 °C increase of the global surface temperature causes an immediate two-thirds increase in optimal carbon tax. If the tipping point also has a 5% impact on market goods, the optimal carbon tax increases by more than a factor of 3. Hence existing cost-benefit assessments of global climate policy may be significantly underestimating the needs for controlling climate change.

Environmental tipping points significantly affect the cost−benefit assessment of climate policies

PubMed Central

Cai, Yongyang; Judd, Kenneth L.; Lenton, Timothy M.; Lontzek, Thomas S.; Narita, Daiju

2015-01-01

Most current cost−benefit analyses of climate change policies suggest an optimal global climate policy that is significantly less stringent than the level required to meet the internationally agreed 2 °C target. This is partly because the sum of estimated economic damage of climate change across various sectors, such as energy use and changes in agricultural production, results in only a small economic loss or even a small economic gain in the gross world product under predicted levels of climate change. However, those cost−benefit analyses rarely take account of environmental tipping points leading to abrupt and irreversible impacts on market and nonmarket goods and services, including those provided by the climate and by ecosystems. Here we show that including environmental tipping point impacts in a stochastic dynamic integrated assessment model profoundly alters cost−benefit assessment of global climate policy. The risk of a tipping point, even if it only has nonmarket impacts, could substantially increase the present optimal carbon tax. For example, a risk of only 5% loss in nonmarket goods that occurs with a 5% annual probability at 4 °C increase of the global surface temperature causes an immediate two-thirds increase in optimal carbon tax. If the tipping point also has a 5% impact on market goods, the optimal carbon tax increases by more than a factor of 3. Hence existing cost−benefit assessments of global climate policy may be significantly underestimating the needs for controlling climate change. PMID:25825719

Evaluation of the Food and Agriculture Sector Criticality Assessment Tool (FASCAT) and the Collected Data.

PubMed

Huff, Andrew G; Hodges, James S; Kennedy, Shaun P; Kircher, Amy

2015-08-01

To protect and secure food resources for the United States, it is crucial to have a method to compare food systems' criticality. In 2007, the U.S. government funded development of the Food and Agriculture Sector Criticality Assessment Tool (FASCAT) to determine which food and agriculture systems were most critical to the nation. FASCAT was developed in a collaborative process involving government officials and food industry subject matter experts (SMEs). After development, data were collected using FASCAT to quantify threats, vulnerabilities, consequences, and the impacts on the United States from failure of evaluated food and agriculture systems. To examine FASCAT's utility, linear regression models were used to determine: (1) which groups of questions posed in FASCAT were better predictors of cumulative criticality scores; (2) whether the items included in FASCAT's criticality method or the smaller subset of FASCAT items included in DHS's risk analysis method predicted similar criticality scores. Akaike's information criterion was used to determine which regression models best described criticality, and a mixed linear model was used to shrink estimates of criticality for individual food and agriculture systems. The results indicated that: (1) some of the questions used in FASCAT strongly predicted food or agriculture system criticality; (2) the FASCAT criticality formula was a stronger predictor of criticality compared to the DHS risk formula; (3) the cumulative criticality formula predicted criticality more strongly than weighted criticality formula; and (4) the mixed linear regression model did not change the rank-order of food and agriculture system criticality to a large degree. © 2015 Society for Risk Analysis.

An integrated modeling framework for real-time irrigation scheduling: the benefit of spectroscopy and weather forecasts

NASA Astrophysics Data System (ADS)

Brook, Anna; Polinova, Maria; Housh, Mashor

2016-04-01

Agriculture and agricultural landscapes are increasingly under pressure to meet the demands of a constantly increasing human population and globally changing food patterns. At the same time, there is rising concern that climate change and food security will harm agriculture in many regions of the world (Nelson et al., 2009). Facing those treats, majority of Mediterranean countries had chosen irrigated agriculture. For crop plants water is one of the most important inputs, as it is responsible for crop growth, production and it ensures the efficiency of other inputs (e.g. seeds, fertilizers and pesticide) but its use is in competition with other local sectors (e.g. industry, urban human use). Thus, well-timed availability of water is vital to agriculture for ensured yields. The increasing demand for irrigation has necessitated the need for optimal irrigation scheduling techniques that coordinate the timing and amount of irrigation to optimally manage the water use in agriculture systems. The irrigation scheduling problem can be challenging as farmers try to deal with different conflicting objectives of maximizing their yield while minimizing irrigation water use. Another challenge in the irrigation scheduling problem is attributed to the uncertain factors involved in the plant growth process during the growing season. Most notable, the climatic factors such as evapotranspiration and rainfall, these uncertain factors add a third objective to the farmer perspective, namely, minimizing the risk associated with these uncertain factors. Nevertheless, advancements in weather forecasting reduced the uncertainty level associated with future climatic data. Thus, climatic forecasts can be reliably employed to guide optimal irrigation schedule scheme when coupled with stochastic optimization models (Housh et al., 2012). Many studies have concluded that optimal irrigation decisions can provide substantial economic value over conventional irrigation decisions (Wang and Cai 2009). These studies have only incorporated short-term (weekly) forecasts, missing the potential benefit of the mid-term (seasonal) climate forecasts The latest progress in new data acquisition technologies (mainly in the field of Earth observation by remote sensing and imaging spectroscopy systems) as well as the state-of-the-art achievements in the fields of geographical information systems (GIS), computer science and climate and climate impact modelling enable to develop both integrated modelling and realistic spatial simulations. The present method is the use of field spectroscopy technology to keep constant monitoring of the field. The majority of previously developed decision support systems use satellite remote sensing data that provide very limited capabilities (conventional and basic parameters). The alternative is to use a more progressive technology of hyperspectral airborne or ground-based imagery data that provide an exhaustive description of the field. Nevertheless, this alternative is known to be very costly and complex. As such, we will present a low-cost imaging spectroscopy technology supported by detailed and fine-resolution field spectroscopy as a cost effective option for near field real-time monitoring tool. In order to solve the soil water balance and to predict the water irrigation volume a pedological survey is realized in the evaluation study areas.The remote sensing and field spectroscopy were applied to integrate continuous feedbacks from the field (e.g. soil moisture, organic/inorganic carbon, nitrogen, salinity, fertilizers, sulphur acid, texture; crop water-stress, plant stage, LAI , chlorophyll, biomass, yield prediction applying PROSPECT+SILT ; Fraction of Absorbed Photosynthetically Active Radiation FAPAR) estimated based on remote sensing information to minimize the errors associated with crop simulation process. A stochastic optimization model will be formulated that take into account both mid-term seasonal probabilistic climate prediction and short-term weekly forecasts. In order to optimize the water resource use, the irrigation scheduling will be defined by use a simulation model of soil-plant and atmosphere system (e.g. SWAP model, Van Dam et al., 2008). The use of this tool is necessary to: i) take into account the soil spatial variability; ii) to predict the system behaviour under the forecasted climate; iii) define the optimized irrigation water volumes. Given this knowledge in the three domains of optimization under uncertainty, spectroscopy/remote sensing and climate forecasting, we will be presented as an integrated framework for deriving optimal irrigation decisions. References Nelson, Gerald C., et al. Climate change: Impact on agriculture and costs of adaptation. Vol. 21. Intl Food Policy Res Inst, 2009. Housh, Mashor, Avi Ostfeld, and Uri Shamir. "Seasonal multi-year optimal management of quantities and salinities in regional water supply systems." Environmental Modelling & Software 37 (2012): 55-67. Wang, Dingbao, and Ximing Cai. "Irrigation scheduling - Role of weather forecasting and farmers' behavior." Journal of Water Resources Planning and Management 135.5 (2009): 364-372. Van Dam, J. C., et al. SWAP version 3.2: Theory description and user manual. No. 1649. Wageningen, The Netherlands: Alterra, 2008.

Lake Urmia (Iran): can future socio-ecologically motivated river basin management restore lake water levels in an arid region with extensive agricultural development?

NASA Astrophysics Data System (ADS)

Fazel, Nasim; Berndtsson, Ronny; Bertacchi Uvo, Cintia; Klove, Bjorn; Madani, Kaveh

2015-04-01

Lake Urmia, one of the world's largest hyper saline lakes located in northwest of Iran, is a UNESCO Biosphere Reserve and Ramsar site, protected as a national park and, supports invaluable and unique biodiversity and related ecosystem services for the region's 6.5 million inhabitants. Due to increased development of the region's water resources for agriculture and industry and to a certain extent climate change, the lake has started to shrink dramatically since 1995 and now is holding less than 30 percent of its volume. Rapid development in agricultural sector and land-use changes has resulted in immense construction of dams and water diversions in almost all lake feeding rivers, intensifying lake shrinking, increasing salinity and degrading its ecosystem. Recently, lake's cultural and environmental importance and social pressure has raised concerns and brought government attention to the lake restoration plans. Along with poor management, low yield agriculture as the most water consuming activity in the region with, rapid, insufficient development is one of the most influential drivers in the lake desiccation. Part of the lake restoration plans in agricultural sector is to restrict the agricultural areas in the main feeding river basins flowing mostly in the southern part of the lake and decreasing the agricultural water use in this area. This study assess the efficiency and effectiveness of the proposed plans and its influence on the lake level rise and its impacts on economy in the region using a system dynamics model developed for the Lake consist of hydrological and agro-economical sub-systems. The effect of decrease in agricultural area in the region on GDP and region economy was evaluated and compared with released water contribution in lake level rise for a five year simulation period.

Health impact assessment of agriculture and food policies: lessons learnt from the Republic of Slovenia.

PubMed

Lock, Karen; Gabrijelcic-Blenkus, Mojca; Martuzzi, Marco; Otorepec, Peter; Wallace, Paul; Dora, Carlos; Robertson, Aileen; Zakotnic, Jozica Maucec

2003-01-01

The most important public health priority in agricultural policy-making is currently food safety, despite the relatively higher importance of food security, nutrition, and other agricultural-related health issues in terms of global burden of disease. There is limited experience worldwide of using health impact assessment (HIA) during the development of agriculture and food policies, which perhaps reflects the complex nature of this policy sector. This paper presents methods of HIA used in the Republic of Slovenia, which is conducting a HIA of proposed agricultural and food policies due to its accession to the European Union. It is the first time that any government has attempted to assess the health effects of agricultural policy at a national level. The HIA has basically followed a six-stage process: policy analysis; rapid appraisal workshops with stakeholders from a range of backgrounds; review of research evidence relevant to the agricultural policy; analysis of Slovenian data for key health-related indicators; a report on the findings to a key cross-government group; and evaluation. The experience in Slovenia shows that the HIA process has been a useful mechanism for raising broader public health issues on the agricultural policy agenda, and it has already had positive results for policy formation. HIA is one useful approach to more integrated policy-making across sectors, but clearly it is not the only mechanism to achieve this. A comparison of the approach used in Slovenia with HIA methods in other countries and policy contexts shows that there are still many limitations with HIA application at a government level. Lessons can be learnt from these case studies for future development and application of HIA that is more relevant to policy-makers, and assists them in making more healthy policy choices.

Health impact assessment of agriculture and food policies: lessons learnt from the Republic of Slovenia.

PubMed Central

Lock, Karen; Gabrijelcic-Blenkus, Mojca; Martuzzi, Marco; Otorepec, Peter; Wallace, Paul; Dora, Carlos; Robertson, Aileen; Zakotnic, Jozica Maucec

2003-01-01

The most important public health priority in agricultural policy-making is currently food safety, despite the relatively higher importance of food security, nutrition, and other agricultural-related health issues in terms of global burden of disease. There is limited experience worldwide of using health impact assessment (HIA) during the development of agriculture and food policies, which perhaps reflects the complex nature of this policy sector. This paper presents methods of HIA used in the Republic of Slovenia, which is conducting a HIA of proposed agricultural and food policies due to its accession to the European Union. It is the first time that any government has attempted to assess the health effects of agricultural policy at a national level. The HIA has basically followed a six-stage process: policy analysis; rapid appraisal workshops with stakeholders from a range of backgrounds; review of research evidence relevant to the agricultural policy; analysis of Slovenian data for key health-related indicators; a report on the findings to a key cross-government group; and evaluation. The experience in Slovenia shows that the HIA process has been a useful mechanism for raising broader public health issues on the agricultural policy agenda, and it has already had positive results for policy formation. HIA is one useful approach to more integrated policy-making across sectors, but clearly it is not the only mechanism to achieve this. A comparison of the approach used in Slovenia with HIA methods in other countries and policy contexts shows that there are still many limitations with HIA application at a government level. Lessons can be learnt from these case studies for future development and application of HIA that is more relevant to policy-makers, and assists them in making more healthy policy choices. PMID:12894321

Agricultural production and water use scenarios in Cyprus under global change

NASA Astrophysics Data System (ADS)

Bruggeman, Adriana; Zoumides, Christos; Camera, Corrado; Pashiardis, Stelios; Zomeni, Zomenia

2014-05-01

In many countries of the world, food demand exceeds the total agricultural production. In semi-arid countries, agricultural water demand often also exceeds the sustainable supply of water resources. These water-stressed countries are expected to become even drier, as a result of global climate change. This will have a significant impact on the future of the agricultural sector and on food security. The aim of the AGWATER project consortium is to provide recommendations for climate change adaptation for the agricultural sector in Cyprus and the wider Mediterranean region. Gridded climate data sets, with 1-km horizontal resolution were prepared for Cyprus for 1980-2010. Regional Climate Model results were statistically downscaled, with the help of spatial weather generators. A new soil map was prepared using a predictive modelling and mapping technique and a large spatial database with soil and environmental parameters. Stakeholder meetings with agriculture and water stakeholders were held to develop future water prices, based on energy scenarios and to identify climate resilient production systems. Green houses, including also hydroponic systems, grapes, potatoes, cactus pears and carob trees were the more frequently identified production systems. The green-blue-water model, based on the FAO-56 dual crop coefficient approach, has been set up to compute agricultural water demand and yields for all crop fields in Cyprus under selected future scenarios. A set of agricultural production and water use performance indicators are computed by the model, including green and blue water use, crop yield, crop water productivity, net value of crop production and economic water productivity. This work is part of the AGWATER project - AEIFORIA/GEOGRO/0311(BIE)/06 - co-financed by the European Regional Development Fund and the Republic of Cyprus through the Research Promotion Foundation.

Co-Adapting Water Demand and Supply to Changing Climate in Agricultural Water Systems, A Case Study in Northern Italy

NASA Astrophysics Data System (ADS)

Giuliani, M.; Li, Y.; Mainardi, M.; Arias Munoz, C.; Castelletti, A.; Gandolfi, C.

2013-12-01

Exponentially growing water demands and increasing uncertainties in the hydrologic cycle due to changes in climate and land use will challenge water resources planning and management in the next decade. Improving agricultural productivity is particularly critical, being this sector the one characterized by the highest water demand. Moreover, to meet projected growth in human population and per-capita food demand, agricultural production will have to significantly increase in the next decades, even though water availability is expected to decrease due to climate change impacts. Agricultural systems are called to adapt their strategies (e.g., changing crop patterns and the corresponding water demand, or maximizing the efficiency in the water supply modifying irrigation scheduling and adopting high efficiency irrigation techniques) in order to re-optimize the use of limited water resources. Although many studies have assessed climate change impacts on agricultural practices and water management, most of them assume few scenarios of water demand or water supply separately, while an analysis of their reciprocal feedbacks is still missing. Moreover, current practices are generally established according to historical agreements and normative constraints and, in the absence of dramatic failures, the shift toward more efficient water management is not easily achievable. In this work, we propose to activate an information loop between farmers and water managers to improve the effectiveness of agricultural water management practices by matching the needs of the farmers with the design of water supply strategies. The proposed approach is tested on a real-world case study, namely the Lake Como serving the Muzza-Bassa Lodigiana irrigation district (Italy). A distributed-parameter, dynamic model of the system allows to simulate crop growth and the final yield over a range of hydro-climatic conditions, irrigation strategies and water-related stresses. The spatial component of the model is managed by a Web GIS to support the visualization of the results and the participation of the stakeholders. The activation of the information loop allows farmers to decide the most profitable crop option on the basis of an expected water supply. Knowing the farmers decisions, the water supply strategy (i.e., the regulation of Lake Como) is then optimized with respect to the actual irrigation demand of the crops. By recursively running this procedure, the farmers and the water manager will exchange information until the system converges to an equilibrium. Our results show that the proposed co-adaptation loop is able to enhance the efficiency of agricultural water management practices and foster crop production. Moreover, the analysis of the co-evolution of the two systems under change allows to estimate the potential for the approach to mitigate climate change adverse impacts.

Linking agriculture and nutrition education to improve infant and young child feeding: Lessons for future programmes.

PubMed

Muehlhoff, Ellen; Wijesinha-Bettoni, Ramani; Westaway, Elizabeth; Jeremias, Theresa; Nordin, Stacia; Garz, Julia

2017-10-01

Agriculture and food systems play a central role in nutrition by supplying nutritious, healthy and affordable foods. When integrated with nutrition education for behaviour change, agricultural interventions that supply diverse affordable foods from all food groups have great scope for improving young child and family diets. In 2014, process reviews were conducted in Cambodia and Malawi of food security projects that provided agricultural support and community-based nutrition education on improved infant and young child feeding (IYCF). In both countries, household visits were carried out with mothers/caregivers, and interviews and Focus Group Discussions (FGDs) were conducted with purposively selected project stakeholders (53 in Cambodia, 170 in Malawi), including government staff from the agriculture and health sectors. Results highlight that adoption of improved IYCF practices was facilitated by participation in nutrition education and practical cooking sessions, and supportive family and community structures. Barriers faced by families and caregivers were identified, such as women's workload and lack of access to high quality foods, namely fruits, vegetables, legumes, nuts and animal source foods. Implementation challenges regarding coordination of cross-sectoral targeting strategies and capacities of extension services to sustain community-based IYCF nutrition education need to be addressed to improve programme effectiveness and impact. The project lessons from Cambodia and Malawi are useful for integrated agriculture-IYCF nutrition education programmes to help ensure better young child nutrition outcomes. © 2017 John Wiley & Sons Ltd.

[The evolution of employment in Mexico: 1895-1980].

PubMed

Rendon, T; Salas, C

1987-01-01

Employment figures from the Mexican national census are the basis for this analysis of employment changes in Mexico between 1895-1980. The work identifies longterm trends in the volume and composition of employment and distinguishes 3 main periods in the evolution of employment. The first period, from 1895-1930, marked the end of a stage of development lasting until about 1907 in which sufficient internal stability was achieved to support Mexico's entrance into the world market. Export of agricultural products and metals was the principal focus of economic growth. Construction of roads and railroads was a central element of progress. But economic and social problems manifested in regional disparities, concentration of wealth, conflicts between economic sectors, low pay for agricultural workers, and fierce social and political control characterized the period and culminated in the Mexican Revolution. After the first decade of the 20th century the ability of the economy to absorb new workers began to decline, and the falling of crude activity rates was not reversed until the 1940s. During the 1920s, total employment increased less than 6%, reflecting a net increase of 403,000 male workers and a decrease of 110,000 female workers. The second major period of employment from 1930-1970 saw the change from an economy based on export of primary products to one based on manufacturing for the internal market. There were 2 subperiods, a stage of transition from 1930-50, the economy registered marked fluctuations, but by the 1940s the consolidation of state power and important reforms permitting expansion of the internal market were factors in an accelerated growth of employment relative to the preceding intercensal period. Despite considerable increases in agricultural employment, the relative share of the agricultural sector in total employment was beginning a decline. Employment registered the highest growth rates of the century in the 1940s and exceeded population growth. The increased employment was explained by accelerated growth and accumulation in manufacturing along with increases in commerce, services, construction, and agriculture. From 1950-70, industrial development was consolidated, and there was a generalized expansion in employment in manufacturing as well as in the secondary and tertiary sectors. The economy was less able to absorb new labor, primarily because the agricultural sector had reached the limits of expansion in both the commercial and peasant sector by 1965, at just the time that population growth was most rapid. During the 1970s, manufacturing employment grew less rapidly because of modernization, almost exclusive orientation to the internal market which limited expansion, and scarcity of funds for importing capital goods. A new model of growth will be needed if Mexico is to escape its present stagnation, and a significant share of economic activity will need to be oriented to export. Until this process is consolidated, the national economy is unlikely to show signs of sustained recuperation.

Managing Water-Food-Energy Futures in the Canadian Prairies

NASA Astrophysics Data System (ADS)

Wheater, H. S.; Hassanzadeh, E.; Nazemi, A.; Elshorbagy, A. A.

2016-12-01

The water-food-energy nexus is a convenient phrase to highlight competing societal uses for water and the need for cross-sectoral policy integration, but this can lead to oversimplification of the multiple dimensions of water (and energy) management. In practice, water managers must balance (and prioritize) demands for water for many uses, including environmental flows, and reservoir operation often involves managing conflicting demands, for example to maximize retention for supply, reduce storage to facilitate flood control, and constrain water levels and releases for habitat protection. Agriculture and water quality are also inextricably linked: irrigated agriculture requires appropriate water quality for product quality and certification, but agriculture can be a major source of nutrient pollution, with impacts on human and ecosystem health, drinking water treatment and amenity. And energy-water interactions include energy production (hydropower and cooling water for thermal power generation) and energy consumption (e.g. for pumping and water and wastewater treatment). These dependencies are illustrated for the Canadian prairies, and a risk-based approach to the management of climate change is presented. Trade-offs between economic benefits of hydropower and irrigation are illustrated for alternative climate futures, including implications for freshwater habitats. The results illustrate that inter-sector interactions vary as a function of climate and its variability, and that there is a need for policy to manage inter-sector allocations as a function of economic risk.

Market assessment of photovoltaic power systems for agricultural applications worldwide

NASA Astrophysics Data System (ADS)

Cabraal, A.; Delasanta, D.; Rosen, J.; Nolfi, J.; Ulmer, R.

1981-11-01

Agricultural sector PV market assessments conducted in the Phillippines, Nigeria, Mexico, Morocco, and Colombia are extrapolated worldwide. The types of applications evaluated are those requiring less than 15 kW of power and operate in a stand alone mode. The major conclusions were as follows: PV will be competitive in applications requiring 2 to 3 kW of power prior to 1983; by 1986 PV system competitiveness will extend to applications requiring 4 to 6 kW of power, due to capital constraints, the private sector market may be restricted to applications requiring less than about 2 kW of power; the ultimate purchase of larger systems will be governments, either through direct purchase or loans from development banks. Though fragmented, a significant agriculture sector market for PV exists; however, the market for PV in telecommunications, signalling, rural services, and TV will be larger. Major market related factors influencing the potential for U.S. PV Sales are: lack of awareness; high first costs; shortage of long term capital; competition from German, French and Japanese companies who have government support; and low fuel prices in capital surplus countries. Strategies that may aid in overcoming some of these problems are: setting up of a trade association aimed at overcoming problems due to lack of awareness, innovative financing schemes such as lease arrangements, and designing products to match current user needs as opposed to attempting to change consumer behavior.

Market assessment of photovoltaic power systems for agricultural applications worldwide

NASA Technical Reports Server (NTRS)

Cabraal, A.; Delasanta, D.; Rosen, J.; Nolfi, J.; Ulmer, R.

1981-01-01

Agricultural sector PV market assessments conducted in the Phillippines, Nigeria, Mexico, Morocco, and Colombia are extrapolated worldwide. The types of applications evaluated are those requiring less than 15 kW of power and operate in a stand alone mode. The major conclusions were as follows: PV will be competitive in applications requiring 2 to 3 kW of power prior to 1983; by 1986 PV system competitiveness will extend to applications requiring 4 to 6 kW of power, due to capital constraints, the private sector market may be restricted to applications requiring less than about 2 kW of power; the ultimate purchase of larger systems will be governments, either through direct purchase or loans from development banks. Though fragmented, a significant agriculture sector market for PV exists; however, the market for PV in telecommunications, signalling, rural services, and TV will be larger. Major market related factors influencing the potential for U.S. PV Sales are: lack of awareness; high first costs; shortage of long term capital; competition from German, French and Japanese companies who have government support; and low fuel prices in capital surplus countries. Strategies that may aid in overcoming some of these problems are: setting up of a trade association aimed at overcoming problems due to lack of awareness, innovative financing schemes such as lease arrangements, and designing products to match current user needs as opposed to attempting to change consumer behavior.

Regional Responses to Constrained Water Availability

NASA Astrophysics Data System (ADS)

Cui, Y.; Calvin, K. V.; Hejazi, M. I.; Clarke, L.; Kim, S. H.; Patel, P.

2017-12-01

There have been many concerns about water as a constraint to agricultural production, electricity generation, and many other human activities in the coming decades. Nevertheless, how different countries/economies would respond to such constraints has not been explored. Here, we examine the responding mechanism of binding water availability constraints at the water basin level and across a wide range of socioeconomic, climate and energy technology scenarios. Specifically, we look at the change in water withdrawals between energy, land-use and other sectors within an integrated framework, by using the Global Change Assessment Model (GCAM) that also endogenizes water use and allocation decisions based on costs. We find that, when water is taken into account as part of the production decision-making, countries/basins in general fall into three different categories, depending on the change of water withdrawals and water re-allocation between sectors. First, water is not a constraining factor for most of the basins. Second, advancements in water-saving technologies of the electricity generation cooling systems are sufficient of reducing water withdrawals to meet binding water availability constraints, such as in China and the EU-15. Third, water-saving in the electricity sector alone is not sufficient and thus cannot make up the lowered water availability from the binding case; for example, many basins in Pakistan, Middle East and India have to largely reduce irrigated water withdrawals by either switching to rain-fed agriculture or reducing production. The dominant responding strategy for individual countries/basins is quite robust across the range of alternate scenarios that we test. The relative size of water withdrawals between energy and agriculture sectors is one of the most important factors that affect the dominant mechanism.

AgSTAR

EPA Pesticide Factsheets

AgSTAR promotes biogas recovery projects, which generate renewable energy and other beneficial products from the anaerobic digestion of livestock manure and organic wastes while decreasing greenhouse gas emissions from the agriculture sector.

Climate change impact modelling needs to include cross-sectoral interactions

NASA Astrophysics Data System (ADS)

Harrison, Paula A.; Dunford, Robert W.; Holman, Ian P.; Rounsevell, Mark D. A.

2016-09-01

Climate change impact assessments often apply models of individual sectors such as agriculture, forestry and water use without considering interactions between these sectors. This is likely to lead to misrepresentation of impacts, and consequently to poor decisions about climate adaptation. However, no published research assesses the differences between impacts simulated by single-sector and integrated models. Here we compare 14 indicators derived from a set of impact models run within single-sector and integrated frameworks across a range of climate and socio-economic scenarios in Europe. We show that single-sector studies misrepresent the spatial pattern, direction and magnitude of most impacts because they omit the complex interdependencies within human and environmental systems. The discrepancies are particularly pronounced for indicators such as food production and water exploitation, which are highly influenced by other sectors through changes in demand, land suitability and resource competition. Furthermore, the discrepancies are greater under different socio-economic scenarios than different climate scenarios, and at the sub-regional rather than Europe-wide scale.

Sector Education and Training Authority for Secondary Argiculture (SETASA), Small, Micro and Medium Enterprises (SMME) and Adult Basic Education and Training (ABET) Final Report October 2004

ERIC Educational Resources Information Center

Academy for Educational Development, 2004

2004-01-01

This document reports on a programme of technical assistance for the Sector Education and Training Authority for Secondary Agriculture (SETASA) in 2003/2004. It presents background information which is both essential for understanding the rest of the report, including its attachments, and can be seen as reflecting some of the insights gained…

Market-oriented ethanol and corn-trade policies can reduce climate-induced US corn price volatility

NASA Astrophysics Data System (ADS)

Verma, Monika; Hertel, Thomas; Diffenbaugh, Noah

2014-05-01

Agriculture is closely affected by climate. Over the past decade, biofuels have emerged as another important factor shaping the agricultural sector. We ask whether the presence of the US ethanol sector can play a role in moderating increases in US corn price variability, projected to occur in response to near-term global warming. Our findings suggest that the answer to this question depends heavily on the underlying forces shaping the ethanol industry. If mandate-driven, there is little doubt that the presence of the corn-ethanol sector will exacerbate price volatility. However, if market-driven, then the emergence of the corn-ethanol sector can be a double-edged sword for corn price volatility, possibly cushioning the impact of increased climate driven supply volatility, but also inheriting volatility from the newly integrated energy markets via crude oil price fluctuations. We find that empirically the former effect dominates, reducing price volatility by 27%. In contrast, mandates on ethanol production increase future price volatility by 54% in under future climate after 2020. We also consider the potential for liberalized international corn trade to cushion corn price volatility in the US. Our results suggest that allowing corn to move freely internationally serves to reduce the impact of near-term climate change on US corn price volatility by 8%.

Climate-smart agriculture for food security

NASA Astrophysics Data System (ADS)

Lipper, Leslie; Thornton, Philip; Campbell, Bruce M.; Baedeker, Tobias; Braimoh, Ademola; Bwalya, Martin; Caron, Patrick; Cattaneo, Andrea; Garrity, Dennis; Henry, Kevin; Hottle, Ryan; Jackson, Louise; Jarvis, Andrew; Kossam, Fred; Mann, Wendy; McCarthy, Nancy; Meybeck, Alexandre; Neufeldt, Henry; Remington, Tom; Sen, Pham Thi; Sessa, Reuben; Shula, Reynolds; Tibu, Austin; Torquebiau, Emmanuel F.

2014-12-01

Climate-smart agriculture (CSA) is an approach for transforming and reorienting agricultural systems to support food security under the new realities of climate change. Widespread changes in rainfall and temperature patterns threaten agricultural production and increase the vulnerability of people dependent on agriculture for their livelihoods, which includes most of the world's poor. Climate change disrupts food markets, posing population-wide risks to food supply. Threats can be reduced by increasing the adaptive capacity of farmers as well as increasing resilience and resource use efficiency in agricultural production systems. CSA promotes coordinated actions by farmers, researchers, private sector, civil society and policymakers towards climate-resilient pathways through four main action areas: (1) building evidence; (2) increasing local institutional effectiveness; (3) fostering coherence between climate and agricultural policies; and (4) linking climate and agricultural financing. CSA differs from 'business-as-usual' approaches by emphasizing the capacity to implement flexible, context-specific solutions, supported by innovative policy and financing actions.

[Problems of population and agricultural development in Rwanda].

PubMed

Sibomana, J M

1984-01-01

The primary goal of law 3/81 created by the National Office of Population (l'Office National de la Population--ONAPU) in 1981, is to establish a demographic policy consistent with national realities and designed to ease the problem of overpopulation. ONAPU supports family planning for all of Rwanda as an approach to the population situation. The family planning objective promotes conscientious and wanted procreation. It encourages couples to have children in accordance with a preestablished plan, which takes into account the size of the family and the calendar of procreation. Unmatched population growth with limited economic growth have been major concerns for ONAPU; hence, emphasis on maintaining a level of equilibrium between the 2 is a national priority. In the meantime, increased population growth has been causing agricultural problems. Small amounts of land available for cultivation and rudimentary agricultural technology necessitate a change in the financial organization of this sector. Simultaneously, there is an abundance of agricultural workers and a threat of famine due to population demands outstripping subsistence yields. If the population growth rate of Rwanda remains at 3.79%, the land will be insufficient. To avoid future problems, a financial revolution which involves both the agricultural and nonagricultural sectors must be planned. Economic, social, and cultural reorganization is critical, especially for family planning. The policy of spacing births will not be accepted without amelioration 1st family and community health.

AgSTAR Accomplishments

EPA Pesticide Factsheets

Showcases AgSTAR's accomplishments reducing greenhouse gas emissions in the agriculture sector. Through outreach, education, training, and other tools, AgSTAR continues to help evaluate, construct, and maintain anaerobic digesters on livestock farms.

Next generation agricultural system data, models and knowledge products: Introduction.

PubMed

Antle, John M; Jones, James W; Rosenzweig, Cynthia E

2017-07-01

Agricultural system models have become important tools to provide predictive and assessment capability to a growing array of decision-makers in the private and public sectors. Despite ongoing research and model improvements, many of the agricultural models today are direct descendants of research investments initially made 30-40 years ago, and many of the major advances in data, information and communication technology (ICT) of the past decade have not been fully exploited. The purpose of this Special Issue of Agricultural Systems is to lay the foundation for the next generation of agricultural systems data, models and knowledge products. The Special Issue is based on a "NextGen" study led by the Agricultural Model Intercomparison and Improvement Project (AgMIP) with support from the Bill and Melinda Gates Foundation.

Next Generation Agricultural System Data, Models and Knowledge Products: Introduction

NASA Technical Reports Server (NTRS)

Antle, John M.; Jones, James W.; Rosenzweig, Cynthia E.

2016-01-01

Agricultural system models have become important tools to provide predictive and assessment capability to a growing array of decision-makers in the private and public sectors. Despite ongoing research and model improvements, many of the agricultural models today are direct descendants of research investments initially made 30-40 years ago, and many of the major advances in data, information and communication technology (ICT) of the past decade have not been fully exploited. The purpose of this Special Issue of Agricultural Systems is to lay the foundation for the next generation of agricultural systems data, models and knowledge products. The Special Issue is based on a 'NextGen' study led by the Agricultural Model Intercomparison and Improvement Project (AgMIP) with support from the Bill and Melinda Gates Foundation.

Development and Evaluation of Season-ahead Precipitation and Streamflow Predictions for Sectoral Management in Western Ethiopia

NASA Astrophysics Data System (ADS)

Block, P. J.; Alexander, S.; WU, S.

2017-12-01

Skillful season-ahead predictions conditioned on local and large-scale hydro-climate variables can provide valuable knowledge to farmers and reservoir operators, enabling informed water resource allocation and management decisions. In Ethiopia, the potential for advancing agriculture and hydropower management, and subsequently economic growth, is substantial, yet evidence suggests a weak adoption of prediction information by sectoral audiences. To address common critiques, including skill, scale, and uncertainty, probabilistic forecasts are developed at various scales - temporally and spatially - for the Finchaa hydropower dam and the Koga agricultural scheme in an attempt to promote uptake and application. Significant prediction skill is evident across scales, particularly for statistical models. This raises questions regarding other potential barriers to forecast utilization at community scales, which are also addressed.

Terrorism Awareness and Education as a Prevention Strategy for First Responders

DTIC Science & Technology

2006-03-01

sectors: Agriculture Food Water Public health Emergency services Government Defense industry Information and telecommunications...of a victim society such as large bodies of water or wide areas of agricultural resources and industries. As the LAFD moves forward in its...structure consists of the values and beliefs that, in turn, guide a person’s actions; these cultural characteristics are then transmitted to

Financial Well-Being of Farm Operators and Their Households. Agricultural Economic Report Number 563.

ERIC Educational Resources Information Center

Ahearn, Mary

Almost one-sixth of all U.S. farming households suffered net income losses in 1984, while about one-ninth had total incomes of more than $60,000. This disparity in a relatively high income year for the agricultural sector as a whole demonstrated the importance of income distribution in determining the overall financial well-being of farm operators…

On the Water-Food Nexus: an Optimization Approach for Water and Food Security

NASA Astrophysics Data System (ADS)

Mortada, Sarah; Abou Najm, Majdi; Yassine, Ali; Alameddine, Ibrahim; El-Fadel, Mutasem

2016-04-01

Water and food security is facing increased challenges with population increase, climate and land use change, as well as resource depletion coupled with pollution and unsustainable practices. Coordinated and effective management of limited natural resources have become an imperative to meet these challenges by optimizing the usage of resources under various constraints. In this study, an optimization model is developed for optimal resource allocation towards sustainable water and food security under nutritional, socio-economic, agricultural, environmental, and natural resources constraints. The core objective of this model is to maximize the composite water-food security status by recommending an optimal water and agricultural strategy. The model balances between the healthy nutritional demand side and the constrained supply side while considering the supply chain in between. It equally ensures that the population achieves recommended nutritional guidelines and population food-preferences by quantifying an optimum agricultural and water policy through transforming optimum food demands into optimum cropping policy given the water and land footprints of each crop or agricultural product. Through this process, water and food security are optimized considering factors that include crop-food transformation (food processing), water footprints, crop yields, climate, blue and green water resources, irrigation efficiency, arable land resources, soil texture, and economic policies. The model performance regarding agricultural practices and sustainable food and water security was successfully tested and verified both at a hypothetical and pilot scale levels.

CO2 Mitigation Measures of Power Sector and Its Integrated Optimization in China

PubMed Central

Dai, Pan; Chen, Guang; Zhou, Hao; Su, Meirong; Bao, Haixia

2012-01-01

Power sector is responsible for about 40% of the total CO2 emissions in the world and plays a leading role in climate change mitigation. In this study, measures that lower CO2 emissions from the supply side, demand side, and power grid are discussed, based on which, an integrated optimization model of CO2 mitigation (IOCM) is proposed. Virtual energy, referring to energy saving capacity in both demand side and the power grid, together with conventional energy in supply side, is unified planning for IOCM. Consequently, the optimal plan of energy distribution, considering both economic benefits and mitigation benefits, is figured out through the application of IOCM. The results indicate that development of demand side management (DSM) and smart grid can make great contributions to CO2 mitigation of power sector in China by reducing the CO2 emissions by 10.02% and 12.59%, respectively, in 2015, and in 2020. PMID:23213305

The bioeconomy in Poland within the context of the European Union.

PubMed

Woźniak, Ewa; Twardowski, Tomasz

2018-01-25

This article outlines the potential of the development of bioeconomy in Poland in the context of the European Union (EU). The analyses take into account the concept of bioeconomy, the overview of documents referring to the bioeconomy in the EU, including policy frameworks and agendas. Many countries including Poland emphasise the importance of bioeconomy, but have not yet developed a complex strategy. The state of bioeconomy in Poland is characterised by the sectors of agriculture, forestry and food production, as well as parts of the chemical, biotechnology and energy industries. In 2014 the global production volume in the Polish bioeconomy amounted to PLN 343 billion with the sector employing almost 3 million staff. However, the structure of the bioeconomy is dominated by traditional sectors, such as agriculture and agro-food industries. This article presents the analysis of research and development activity in Poland from 2009 to 2015. It reports the position of Poland on GMOs and their future development potential. It is worth mentioning that many EU states including Poland have declared themselves as being "GMO-free countries". Copyright © 2017 Elsevier B.V. All rights reserved.

Addressing Chronic Malnutrition through Multi-Sectoral, Sustainable Approaches: A Review of the Causes and Consequences

PubMed Central

Reinhardt, Kristina; Fanzo, Jessica

2014-01-01

Chronic malnutrition, including stunting, is an important example of a global challenge that spans multiple sectors, specifically health, agriculture, and the environment. The objective of this paper is to review current knowledge on the causes and consequences of chronic malnutrition and their relationship with multiple sectors. Understanding the causes includes approaching chronic malnutrition from the basic, underlying, and immediate levels. The causes reach from macro-level environmental influences to specific micronutrient intake. In order to effectively address stunting, it is important to understand the timing of stunting and the ability of individuals to catch up in terms of linear growth, cognitive ability, and immune function. The consequences of chronic malnutrition are transgenerational and they have an impact at the individual, community, and national level in the short- and long-term. There are still many gaps in knowledge regarding both the causes and consequences of chronic malnutrition, particularly when it comes to the interaction with agriculture and the environment, and understanding these gaps is important to addressing the burden of chronic malnutrition through evidence-based interventions. PMID:25988116

Building political and financial support for science and technology for agriculture.

PubMed

Beachy, Roger N

2014-04-05

The high rate of return on investments in research and development in agriculture, estimated at between 20- and 40-fold, provides a strong rationale for increasing financial support for such research. Furthermore, the urgency to provide sufficient nutrition for a growing population amid growing demands for an expanding bioeconomy, while facing population growth and changing global weather patterns heightens the urgency to expand research and development in this field. Unfortunately, support by governments for research has increased at a fraction of the rate of increases in support of research for health, energy, etc. Although there have been significant increases in investments by the private sector over the past two decades, much of the foundational research that supports private-sector activities is generated in the public sector. To achieve the greatest benefits of breakthroughs in research, it may be necessary to reconfigure research funding and technology transfer mechanisms in order to more rapidly apply discoveries to local needs as well as to global challenges. Some changes will likely require significant organizational, administrative and operational changes in education and research institutions.

Building political and financial support for science and technology for agriculture

PubMed Central

Beachy, Roger N.

2014-01-01

The high rate of return on investments in research and development in agriculture, estimated at between 20- and 40-fold, provides a strong rationale for increasing financial support for such research. Furthermore, the urgency to provide sufficient nutrition for a growing population amid growing demands for an expanding bioeconomy, while facing population growth and changing global weather patterns heightens the urgency to expand research and development in this field. Unfortunately, support by governments for research has increased at a fraction of the rate of increases in support of research for health, energy, etc. Although there have been significant increases in investments by the private sector over the past two decades, much of the foundational research that supports private-sector activities is generated in the public sector. To achieve the greatest benefits of breakthroughs in research, it may be necessary to reconfigure research funding and technology transfer mechanisms in order to more rapidly apply discoveries to local needs as well as to global challenges. Some changes will likely require significant organizational, administrative and operational changes in education and research institutions. PMID:24535386

7 CFR 652.38 - Scope of decertification.

Code of Federal Regulations, 2010 CFR

2010-01-01

..., DEPARTMENT OF AGRICULTURE SUPPORT ACTIVITIES TECHNICAL SERVICE PROVIDER ASSISTANCE Decertification § 652.38... auspices or to an organizational element of such private sector entity or public agency. The scope of...

Soil amendment affects Cd uptake by wheat - are we underestimating the risks from chloride inputs?

PubMed

Dahlin, A Sigrun; Eriksson, Jan; Campbell, Colin D; Öborn, Ingrid

2016-06-01

Many parts of the world are investigating the efficacy of recycling nutrient resources to agriculture from different industry and domestic sectors as part of a more circular economy. The complex nature of recycled products as soil amendments coupled to the large diversity of soil types and their inherent properties make it difficult to optimize the benefits and minimize the risks from potentially toxic elements often present in recycled materials. Here we investigated how wheat grain cadmium (Cd) concentration was affected by soil amendments, namely human urine and biogas digestate compared to traditional farm manures and mineral fertilizers. We show that Cl(-) inadvertently added to soils with e.g. urine or biogas digestate strongly increased crop Cd concentrations, largely by mobilizing inherent soil Cd. This resulted in wheat grain Cd levels that could result in exceeding recommended WHO limits for dietary intake. This was evident even in soils with low inherent Cd content and when Cd inputs were low. The future of a circular economy that helps to underpin global food security needs to ensure that the effects of applying complex materials to different types of agricultural land are fully understood and do not jeopardize food safety. Copyright © 2016 Elsevier B.V. All rights reserved.

How could Mosan agriculture be impacted by climate change and future droughts ?

NASA Astrophysics Data System (ADS)

Bauwens, A.; Sohier, C.; Deraedt, D.; Degré, A.

2012-04-01

Despite the great uncertainties regarding the future climatic context, lots of studies have focused on hydrological effects of climate change on the Meuse catchment. It appears that both winter high flows and summer low flows could be exacerbated. Climate change and its impacts on hydrology will thus affect various socio-economic sectors. High flows have been widely studied compared to low-flows. This poster will put the emphasis on a methodology developed in order to study impacts of droughts on agriculture. Agriculture is among the most impacted sectors due to climate change. The consequences could be both positive as negative in accordance with the range of predicted changes and the adaptation capacity of agricultural systems. Most of the existing studies related to climate change on agriculture focused on specific territory. Within the AMICE Interreg IVB project, a transnational approach has been developed to assess droughts impacts on agriculture through the Meuse basin. The project's previous works gave us a common scenario of climate trends and of the evolution of the hydrology in the Meuse basin. The methodology is based on the use of a physically-based model able to simulate the water-soil-plant continuum (derived from EPIC model). In order to be transferable from one country to another, the methodology proposed used data available at the basin scale. The UE soil data base was complemented with local information on agricultural practices and statistics. Three crops have been studied: maize, wheat and barley. The basic cultural calendar is supposed to be the same for the different countries. The methodology developed permits to study the evolution of yields, leaf area index, crops stress due to excess or lack of water through time under different scenarios build up in the frame of the project. It appears that corn is negatively affected by climate change, and thus despite the CO2 fertilization effect. Wheat and barley have similar behavior and are positively affected by climate change and CO2 fertilization. Leaf Area Index study reveals that the different crops start earlier and reach earlier maturity. These first results will be completed with other economic sectors'analysis like drinkable water production, electricity production and navigation. Therefore, the project will progress towards a better understanding of economic effects of future droughts and low-flows.

Demanded competences in the agricultural engineering sector in Spain

NASA Astrophysics Data System (ADS)

Perdigones, A.; García, J. L.; Benavente, R. M.; Tarquis, A. M.

2009-04-01

An engineering education should prepare students, i.e., emerging engineers, to use problem-solving processes that combine creativity and imagination with rigour and discipline. The emphasis on training engineers may be best placed on answering the needs of industry; indeed, many proposals are now being made to try to reduce the gap between the educational and industrial communities. Training in the use of certain skills or competences may be one way of better preparing engineering undergraduates for eventual employment in industry. However, industry's needs in this respect must first be known. The aim of this work was to determine which skills are used by practising agricultural engineers with the aim of incorporating training in their use into our department's teaching curriculum. Three surveys were undertaken to determine which skills are demanded by agricultural engineers in their professional activities in Spain. Surveys were carried out by the Department of Rural Engineering, Technical University of Madrid (Spain), analysing two related degrees (agricultural engineer with a duration of the study plan of three and five years, respectively) during the courses 2006/07 and 2007/08. The first survey determined the competences acquired by the students along their academic studies (371 students interviewed). The second survey determined the skills demanded by the enterprises of the agricultural sector (50 enterprises interviewed). The third survey determined the skills demanded by the agricultural engineers working in the sector (70 engineers interviewed), specifically asking about the computer programs used by practising agricultural engineers. Surveys showed important differences between the competences demanded by the enterprises and the competences acquired by the students at the university. Enterprises mainly demanded general competences (team working, time organizing, and skills with computer programs) and were less interested in specific technical skills (engineering, economy, biological competences). These differences suggest it might be a good idea to increase the amount of time devoted to the skills demanded by the enterprises. The software packages most commonly used by practising engineers were Microsoft Office / Excel (used by 79% of respondents) and CAD (56%), as well as budgeting (27%), statistical (21%), engineering (15%) and GIS (13%) programs. As a result of this survey our university department opened an additional computer suite in order to provide students practical experience in the use of the demanded competences. The results of this survey underline the importance of competence training in this and perhaps other fields of engineering.

Human health benefits from livestock vaccination for brucellosis: case study.

PubMed Central

Roth, Felix; Zinsstag, Jakob; Orkhon, Dontor; Chimed-Ochir, G.; Hutton, Guy; Cosivi, Ottorino; Carrin, Guy; Otte, Joachim

2003-01-01

OBJECTIVE: To estimate the economic benefit, cost-effectiveness, and distribution of benefit of improving human health in Mongolia through the control of brucellosis by mass vaccination of livestock. METHODS: Cost-effectiveness and economic benefit for human society and the agricultural sector of mass vaccination against brucellosis was modelled. The intervention consisted of a planned 10-year livestock mass vaccination campaign using Rev-1 livestock vaccine for small ruminants and S19 livestock vaccine for cattle. Cost-effectiveness, expressed as cost per disability-adjusted life year (DALY) averted, was the primary outcome. FINDINGS: In a scenario of 52% reduction of brucellosis transmission between animals achieved by mass vaccination, a total of 49,027 DALYs could be averted. Estimated intervention costs were US$ 8.3 million, and the overall benefit was US$ 26.6 million. This results in a net present value of US$ 18.3 million and an average benefit-cost ratio for society of 3.2 (2.27-4.37). If the costs of the intervention were shared between the sectors in proportion to the benefit to each, the public health sector would contribute 11%, which gives a cost-effectiveness of US$ 19.1 per DALY averted (95% confidence interval 5.3-486.8). If private economic gain because of improved human health was included, the health sector should contribute 42% to the intervention costs and the cost-effectiveness would decrease to US$ 71.4 per DALY averted. CONCLUSION: If the costs of vaccination of livestock against brucellosis were allocated to all sectors in proportion to the benefits, the intervention might be profitable and cost effective for the agricultural and health sectors. PMID:14997239

Optimization Strategies for Bruch's Membrane Opening Minimum Rim Area Calculation: Sequential versus Simultaneous Minimization.

PubMed

Enders, Philip; Adler, Werner; Schaub, Friederike; Hermann, Manuel M; Diestelhorst, Michael; Dietlein, Thomas; Cursiefen, Claus; Heindl, Ludwig M

2017-10-24

To compare a simultaneously optimized continuous minimum rim surface parameter between Bruch's membrane opening (BMO) and the internal limiting membrane to the standard sequential minimization used for calculating the BMO minimum rim area in spectral domain optical coherence tomography (SD-OCT). In this case-control, cross-sectional study, 704 eyes of 445 participants underwent SD-OCT of the optic nerve head (ONH), visual field testing, and clinical examination. Globally and clock-hour sector-wise optimized BMO-based minimum rim area was calculated independently. Outcome parameters included BMO-globally optimized minimum rim area (BMO-gMRA) and sector-wise optimized BMO-minimum rim area (BMO-MRA). BMO area was 1.89 ± 0.05 mm 2 . Mean global BMO-MRA was 0.97 ± 0.34 mm 2 , mean global BMO-gMRA was 1.01 ± 0.36 mm 2 . Both parameters correlated with r = 0.995 (P < 0.001); mean difference was 0.04 mm 2 (P < 0.001). In all sectors, parameters differed by 3.0-4.2%. In receiver operating characteristics, the calculated area under the curve (AUC) to differentiate glaucoma was 0.873 for BMO-MRA, compared to 0.866 for BMO-gMRA (P = 0.004). Among ONH sectors, the temporal inferior location showed the highest AUC. Optimization strategies to calculate BMO-based minimum rim area led to significantly different results. Imposing an additional adjacency constraint within calculation of BMO-MRA does not improve diagnostic power. Global and temporal inferior BMO-MRA performed best in differentiating glaucoma patients.

Recovering Value from Waste: Anaerobic Digester System Basics

EPA Pesticide Factsheets

Biogas recovery may hold the key to unlocking the financial and environmental benefits of managing manure generated from livestock operations and organic wastes from the agriculture and food production sectors.

China’s Role in Counter-Piracy Operations

DTIC Science & Technology

2015-06-01

Jinrong Shibao Online is website of China’s leading financial daily, published by People’s Bank of China. 137 “China Economic Update – June 2014,” The...has also been involved in Africa’s energy sector , including hydropower dams in Ethiopia and Uganda; solar and wind power plants in Ethiopia, Morocco...and South Africa; and biogas development in Guinea, Sudan, and Tunisia.142 Other Chinese economic sectors are actively involved in agriculture

Nigeria’s Rising Hegemony is Essential to Peace and Stability in West-Africa

DTIC Science & Technology

2002-04-18

agricultural sector was particularly on wise for the Nigerian government considering the teeming population that can be gainfully employed by the sector...United Nations Institute for Disarmament Research Geneva Switzerland . UNIDR/2000/3. P.7 3. Ibid p 4 4 M.A. Vogt The Liberian Crises and... Switzerland p.13 3 Ibid p.15. 4 Gilbert M. Khadiagala, et al African Foreign Policies. Powers and perspective: A . . Foreign policy

Conceptual design and quantification of phosphorus flows and balances at the country scale: The case of France

NASA Astrophysics Data System (ADS)

Senthilkumar, Kalimuthu; Nesme, Thomas; Mollier, Alain; Pellerin, Sylvain

2012-06-01

Global biogeochemical cycles have been deeply modified by human activities in recent decades. But detailed studies analyzing the influence of current economic and social organizations on global biogeochemical cycles within a system perspective are still required. Country level offers a relevant scale for assessing nutrient management and identifying key driving forces and possible leaks in the nutrient cycle. Conceptual modeling helps to quantify nutrient flows within the country and we developed such an approach for France. France is a typical Western European country with intensive agriculture, trade and an affluent diet, all of which may increase internal and external P flows. Phosphorus (P) was taken as a case study because phosphate rock is a non-renewable resource which future availability is becoming increasingly bleak. A conceptual model of major P flows at the country scale was designed. France was divided into agriculture, industry, domestic, import and export sectors, and each of these sectors was further divided into compartments. A total of 25 internal and eight external P flows were identified and quantified on a yearly basis for a period of 16 years (from 1990 to 2006) in order to understand long-term P flows. All the P flows were quantified using the substance flow analysis principle. The results showed that the industrial sector remained the largest contributor to P flows in France, followed by the agriculture and domestic sectors. Soil P balance was positive. However, a positive P balance of 18 kg P ha-1 in 1990 was reduced to 4 kg P ha-1 in 2006, mainly due to the reduced application of inorganic P fertilizer. The overall country scale P balance was positive, whereas half of this additional P was lost to the environment mainly through the landfilling of municipal and industrial waste, disposal of treated wastewater from which P was partially removed, and P losses from agricultural soils though erosion and leaching. Consequences for global P resources and soil and water compartments are discussed. Some opportunities to more effectively close the P cycle in France by both improving the intensity of P recycling and decreasing losses are quantified.

Incentives and technologies for improving irrigation water use efficiency

NASA Astrophysics Data System (ADS)

Bruggeman, Adriana; Djuma, Hakan; Giannakis, Elias; Eliades, Marinos

2014-05-01

The European Water Framework Directive requires Member States to set water prices that provide adequate incentives for users to use water resources efficiently. These new water pricing policies need to consider cost recovery of water services, including financial, environmental and resource cost. Prices were supposed to have been set by 2010. So far the record has been mixed. The European Commission has sent reasoned opinions to a number of countries (Austria, Belgium, Denmark, Estonia, Finland, Germany, Hungary, Netherlands, Sweden) requesting them to adjust their national legislation to include all water services. Unbalanced water pricing may negatively affect the agricultural sector, especially in the southern EU countries, which are more dependent on irrigation water for production. The European Commission is funding several projects that aim to reduce the burden of increasing water prices on farmers by developing innovative technologies and decision support systems that will save water and increase productivity. The FP7 ENORASIS project (grant 282949) has developed a new integrated irrigation management decision support platform, which include high-resolution, ensemble weather forecasting, a GIS widget for the location of fields and sensors and a comprehensive decision support and database management software package to optimize irrigation water management. The field component includes wireless, solar-powered soil moisture sensors, small weather stations, and remotely controlled irrigation valves. A mobile App and a web-package are providing user-friendly interfaces for farmers, water companies and environmental consultants. In Cyprus, agricultural water prices have been set to achieve a cost recovery rate of 54% (2010). The pricing policy takes in consideration the social importance and financial viability of the agricultural sector, an important flexibility provided by the Water Framework Directive. The new price was set at 0.24 euro per m3 for water supply from the government irrigation network, with an additional fixed fee of 66.10 euro per ha per season. This is a substantial increase from the 0.17 euro per3 and 17.10 euro per ha fixed fee. The price for individual abstractions has been set at 0.11 euro per m^3. However, these new prices have not yet been approved by the Parliament. Agriculture in Cyprus is highly fragmented. The average farm size is 3.5 ha, while each farm holds on average 5 parcels (agricultural census of 2003). Stakeholder interviews indicated that, in general, small farmers in Cyprus have not considered investments in advanced irrigation scheduling technologies to counter balance the loom of higher water prices. However, the picture is different for large producers. A large citrus producer was interested in testing the ENORASIS technology. The first season of measurements indicated that water can be used more efficiently and that the ENORASIS system provides an important tool for reducing on-farm irrigation water use.

Restoring monarch butterfly habitat in the Midwestern US: 'All hands on deck'

USGS Publications Warehouse

Thogmartin, Wayne E.; Lopez-Hoffman, Laura; Rohweder, Jason; Diffendorfer, James E.; Drum, Ryan G.; Semmens, Darius J.; Black, Scott; Caldwell, Iris; Cotter, Donita; Drobney, Pauline; Jackson, Laura L.; Gale, Michael; Helmers, Doug; Hilburger, Steven B.; Howard, Elizabeth; Oberhauser, Karen S.; Pleasants, John M.; Semmens, Brice X.; Taylor, Orley R.; Ward, Patrick; Weltzin, Jake F.; Wiederholt, Ruscena

2017-01-01

The eastern migratory population of monarch butterflies (Danaus plexippus plexippus) has declined by >80% within the last two decades. One possible cause of this decline is the loss of ≥1.3 billion stems of milkweed (Asclepias spp.), which monarchs require for reproduction. In an effort to restore monarchs to a population goal established by the US Fish and Wildlife Service and adopted by Mexico, Canada, and the US, we developed scenarios for amending the Midwestern US landscape with milkweed. Scenarios for milkweed restoration were developed for protected area grasslands, Conservation Reserve Program land, powerline, rail and roadside rights of way, urban/suburban lands, and land in agricultural production. Agricultural land was further divided into productive and marginal cropland. We elicited expert opinion as to the biological potential (in stems per acre) for lands in these individual sectors to support milkweed restoration and the likely adoption (probability) of management practices necessary for affecting restoration. Sixteen of 218 scenarios we developed for restoring milkweed to the Midwestern US were at levels (>1.3 billion new stems) necessary to reach the monarch population goal. One of these scenarios would convert all marginal agriculture to conserved status. The other 15 scenarios converted half of marginal agriculture (730 million stems), with remaining stems contributed by other societal sectors. Scenarios without substantive agricultural participation were insufficient for attaining the population goal. Agricultural lands are essential to reaching restoration targets because they occupy 77% of all potential monarch habitat. Barring fundamental changes to policy, innovative application of economic tools such as habitat exchanges may provide sufficient resources to tip the balance of the agro-ecological landscape toward a setting conducive to both robust agricultural production and reduced imperilment of the migratory monarch butterfly.

Restoring monarch butterfly habitat in the Midwestern US: ‘all hands on deck’

NASA Astrophysics Data System (ADS)

Thogmartin, Wayne E.; López-Hoffman, Laura; Rohweder, Jason; Diffendorfer, Jay; Drum, Ryan; Semmens, Darius; Black, Scott; Caldwell, Iris; Cotter, Donita; Drobney, Pauline; Jackson, Laura L.; Gale, Michael; Helmers, Doug; Hilburger, Steve; Howard, Elizabeth; Oberhauser, Karen; Pleasants, John; Semmens, Brice; Taylor, Orley; Ward, Patrick; Weltzin, Jake F.; Wiederholt, Ruscena

2017-07-01

The eastern migratory population of monarch butterflies (Danaus plexippus plexippus) has declined by >80% within the last two decades. One possible cause of this decline is the loss of ≥1.3 billion stems of milkweed (Asclepias spp.), which monarchs require for reproduction. In an effort to restore monarchs to a population goal established by the US Fish and Wildlife Service and adopted by Mexico, Canada, and the US, we developed scenarios for amending the Midwestern US landscape with milkweed. Scenarios for milkweed restoration were developed for protected area grasslands, Conservation Reserve Program land, powerline, rail and roadside rights of way, urban/suburban lands, and land in agricultural production. Agricultural land was further divided into productive and marginal cropland. We elicited expert opinion as to the biological potential (in stems per acre) for lands in these individual sectors to support milkweed restoration and the likely adoption (probability) of management practices necessary for affecting restoration. Sixteen of 218 scenarios we developed for restoring milkweed to the Midwestern US were at levels (>1.3 billion new stems) necessary to reach the monarch population goal. One of these scenarios would convert all marginal agriculture to conserved status. The other 15 scenarios converted half of marginal agriculture (730 million stems), with remaining stems contributed by other societal sectors. Scenarios without substantive agricultural participation were insufficient for attaining the population goal. Agricultural lands are essential to reaching restoration targets because they occupy 77% of all potential monarch habitat. Barring fundamental changes to policy, innovative application of economic tools such as habitat exchanges may provide sufficient resources to tip the balance of the agro-ecological landscape toward a setting conducive to both robust agricultural production and reduced imperilment of the migratory monarch butterfly.

Food Security, Institutional Framework and Technology: Examining the Nexus in Nigeria Using ARDL Approach

PubMed Central

Osabohien, Romanus; Osabuohien, Evans; Urhie, Ese

2018-01-01

Background: Growth in agricultural science and technology is deemed essential for in-creasing agricultural output; reduce the vulnerability of rural poverty and in turn, food security. Food security and growth in agricultural output depends on technological usages, which enhances the pro-ductive capacity of the agricultural sector. The indicators of food security utilised in this study in-clude: dietary energy supply, average value of food production, prevalence of food inadequacy, among others. Objective: In this paper, we examined the level of technology and how investment in the agriculture and technology can improve technical know-how in Nigeria with a view to achieving food security. Method: We carried out the analysis on how investment in technology and institutional framework can improve the level of food availability (a key component of food security) in Nigeria using econ-ometric technique based on Autoregressive Distribution Lag (ARDL) framework. Results: The results showed, inter alia, that in Nigeria, there is a high level of food insecurity as a result of low attention on food production occasioned by the pervasive influence of oil that become the major export product. Conclusion: It was noted that the availability of arable land was one of the major factors to increase food production to solve the challenge of food insecurity. Thus, the efforts of reducing the rate of food insecurity are essential in this regards. This can also be achieved, among others, by active interactions between government and farmers, to make contribution to important planning issues that relate to food production in the country and above all, social protection policies should be geared or channelled to agricultural sector to protect farmers who are vulnerable to shocks and avert risks associated with agriculture. PMID:29853816

Food Security, Institutional Framework and Technology: Examining the Nexus in Nigeria Using ARDL Approach.

PubMed

Osabohien, Romanus; Osabuohien, Evans; Urhie, Ese

2018-04-01

Growth in agricultural science and technology is deemed essential for in-creasing agricultural output; reduce the vulnerability of rural poverty and in turn, food security. Food security and growth in agricultural output depends on technological usages, which enhances the pro-ductive capacity of the agricultural sector. The indicators of food security utilised in this study in-clude: dietary energy supply, average value of food production, prevalence of food inadequacy, among others. In this paper, we examined the level of technology and how investment in the agriculture and technology can improve technical know-how in Nigeria with a view to achieving food security. We carried out the analysis on how investment in technology and institutional framework can improve the level of food availability (a key component of food security) in Nigeria using econ-ometric technique based on Autoregressive Distribution Lag (ARDL) framework. The results showed, inter alia, that in Nigeria, there is a high level of food insecurity as a result of low attention on food production occasioned by the pervasive influence of oil that become the major export product. It was noted that the availability of arable land was one of the major factors to increase food production to solve the challenge of food insecurity. Thus, the efforts of reducing the rate of food insecurity are essential in this regards. This can also be achieved, among others, by active interactions between government and farmers, to make contribution to important planning issues that relate to food production in the country and above all, social protection policies should be geared or channelled to agricultural sector to protect farmers who are vulnerable to shocks and avert risks associated with agriculture.

Calibration of an agricultural-hydrological model (RZWQM2) using surrogate global optimization

DOE PAGES

Xi, Maolong; Lu, Dan; Gui, Dongwei; ...

2016-11-27

Robust calibration of an agricultural-hydrological model is critical for simulating crop yield and water quality and making reasonable agricultural management. However, calibration of the agricultural-hydrological system models is challenging because of model complexity, the existence of strong parameter correlation, and significant computational requirements. Therefore, only a limited number of simulations can be allowed in any attempt to find a near-optimal solution within an affordable time, which greatly restricts the successful application of the model. The goal of this study is to locate the optimal solution of the Root Zone Water Quality Model (RZWQM2) given a limited simulation time, so asmore » to improve the model simulation and help make rational and effective agricultural-hydrological decisions. To this end, we propose a computationally efficient global optimization procedure using sparse-grid based surrogates. We first used advanced sparse grid (SG) interpolation to construct a surrogate system of the actual RZWQM2, and then we calibrate the surrogate model using the global optimization algorithm, Quantum-behaved Particle Swarm Optimization (QPSO). As the surrogate model is a polynomial with fast evaluation, it can be efficiently evaluated with a sufficiently large number of times during the optimization, which facilitates the global search. We calibrate seven model parameters against five years of yield, drain flow, and NO 3-N loss data from a subsurface-drained corn-soybean field in Iowa. Results indicate that an accurate surrogate model can be created for the RZWQM2 with a relatively small number of SG points (i.e., RZWQM2 runs). Compared to the conventional QPSO algorithm, our surrogate-based optimization method can achieve a smaller objective function value and better calibration performance using a fewer number of expensive RZWQM2 executions, which greatly improves computational efficiency.« less

Calibration of an agricultural-hydrological model (RZWQM2) using surrogate global optimization

NASA Astrophysics Data System (ADS)

Xi, Maolong; Lu, Dan; Gui, Dongwei; Qi, Zhiming; Zhang, Guannan

2017-01-01

Robust calibration of an agricultural-hydrological model is critical for simulating crop yield and water quality and making reasonable agricultural management. However, calibration of the agricultural-hydrological system models is challenging because of model complexity, the existence of strong parameter correlation, and significant computational requirements. Therefore, only a limited number of simulations can be allowed in any attempt to find a near-optimal solution within an affordable time, which greatly restricts the successful application of the model. The goal of this study is to locate the optimal solution of the Root Zone Water Quality Model (RZWQM2) given a limited simulation time, so as to improve the model simulation and help make rational and effective agricultural-hydrological decisions. To this end, we propose a computationally efficient global optimization procedure using sparse-grid based surrogates. We first used advanced sparse grid (SG) interpolation to construct a surrogate system of the actual RZWQM2, and then we calibrate the surrogate model using the global optimization algorithm, Quantum-behaved Particle Swarm Optimization (QPSO). As the surrogate model is a polynomial with fast evaluation, it can be efficiently evaluated with a sufficiently large number of times during the optimization, which facilitates the global search. We calibrate seven model parameters against five years of yield, drain flow, and NO3-N loss data from a subsurface-drained corn-soybean field in Iowa. Results indicate that an accurate surrogate model can be created for the RZWQM2 with a relatively small number of SG points (i.e., RZWQM2 runs). Compared to the conventional QPSO algorithm, our surrogate-based optimization method can achieve a smaller objective function value and better calibration performance using a fewer number of expensive RZWQM2 executions, which greatly improves computational efficiency.

Calibration of an agricultural-hydrological model (RZWQM2) using surrogate global optimization

DOE Office of Scientific and Technical Information (OSTI.GOV)

Xi, Maolong; Lu, Dan; Gui, Dongwei

Robust calibration of an agricultural-hydrological model is critical for simulating crop yield and water quality and making reasonable agricultural management. However, calibration of the agricultural-hydrological system models is challenging because of model complexity, the existence of strong parameter correlation, and significant computational requirements. Therefore, only a limited number of simulations can be allowed in any attempt to find a near-optimal solution within an affordable time, which greatly restricts the successful application of the model. The goal of this study is to locate the optimal solution of the Root Zone Water Quality Model (RZWQM2) given a limited simulation time, so asmore » to improve the model simulation and help make rational and effective agricultural-hydrological decisions. To this end, we propose a computationally efficient global optimization procedure using sparse-grid based surrogates. We first used advanced sparse grid (SG) interpolation to construct a surrogate system of the actual RZWQM2, and then we calibrate the surrogate model using the global optimization algorithm, Quantum-behaved Particle Swarm Optimization (QPSO). As the surrogate model is a polynomial with fast evaluation, it can be efficiently evaluated with a sufficiently large number of times during the optimization, which facilitates the global search. We calibrate seven model parameters against five years of yield, drain flow, and NO 3-N loss data from a subsurface-drained corn-soybean field in Iowa. Results indicate that an accurate surrogate model can be created for the RZWQM2 with a relatively small number of SG points (i.e., RZWQM2 runs). Compared to the conventional QPSO algorithm, our surrogate-based optimization method can achieve a smaller objective function value and better calibration performance using a fewer number of expensive RZWQM2 executions, which greatly improves computational efficiency.« less

Agricultural development in a petroleum-based economy: Qatar

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hassan, M.F

Developing countries, whose policies may have emphasized import substitution as a way to industrialize, now have incentives to stress agriculture. These new incentives are primarily the rapid increase in food prices, but also include the decline of foreign aid, particularly food aid. Qatar, a petroleum exporter, is examined to see if agricultural development is feasible, given the country's economy, which is lopsided with petroleum revenue and lacks modern accounting practices; constraints against agriculture, such as adverse climate, limited land used for cultivation, poor soil conditions, and a shortage of labor and equipment; the governmental role in agriculture; and the opportunitiesmore » for agricultural technology. Policies are needed to deal with questions of water use and resource allocation, with oil resources providing the financial means to overcome some of the constraints and with the government taking the initiative for modernizing the agricultural sector.« less

America's water: Agricultural water demands and the response of groundwater

NASA Astrophysics Data System (ADS)

Ho, M.; Parthasarathy, V.; Etienne, E.; Russo, T. A.; Devineni, N.; Lall, U.

2016-07-01

Agricultural, industrial, and urban water use in the conterminous United States (CONUS) is highly dependent on groundwater that is largely drawn from nonsurficial wells (>30 m). We use a Demand-Sensitive Drought Index to examine the impacts of agricultural water needs, driven by low precipitation, high agricultural water demand, or a combination of both, on the temporal variability of depth to groundwater across the CONUS. We characterize the relationship between changes in groundwater levels, agricultural water deficits relative to precipitation during the growing season, and winter precipitation. We find that declines in groundwater levels in the High Plains aquifer and around the Mississippi River Valley are driven by groundwater withdrawals used to supplement agricultural water demands. Reductions in agricultural water demands for crops do not, however, lead to immediate recovery of groundwater levels due to the demand for groundwater in other sectors in regions such as Utah, Maryland, and Texas.

Climate-Change Impacts on Major Societal and Environmental Sectors: a National View

NASA Astrophysics Data System (ADS)

Melillo, J. M.

2009-05-01

The U.S. Climate Change Science Program's Unified Synthesis Product reports on extant and possible future impacts of climate change for seven sectors at the national level - water resources, energy supply and use, transportation, agriculture, ecosystems, human health and society. The sectoral analyses provide an integrated national picture of the climate-change consequences, now and in the future, for society and the environment, albeit a picture with regional texture. Major report findings for each sector will be presented. In addition to the specific sectoral findings, several overarching messages emerge from this component of the synthesis activity. First, it is important to think about interactions between and among sectors with regard to climate impacts. For example, the projected changes in the timing and amount of precipitation, and hence water supply, will very likely have significant implications for other sectors considered in the report. Changes in water supply have the potential to affect hydropower generation, river transportation, crop timing and management, in-stream ecosystem services including fish habitat, and human health issues related to links between heavy rains ad water-borne diseases. Second, the report concludes that climate-change impacts on the sectors must be considered in the context of a range of environmental and social factors including pollution, population growth, over use of resources, and urbanization. The multi-factor analysis provides insight into our understanding of where, when and how climate change combines with other environmental and social changes to affect the sectors. It also provides some understanding of how these interactions can either amplify or dampen climate-change impacts. This message has profound implications for the design of research programs and information systems at the national, regional and local levels. Furthermore, it demands that a true partnership be forged between the natural and social sciences to more adequately conduct assessments and seek solutions that address the complex challenges that multiple stresses pose. Third, the report notes that the United States is connected to a world that is unevenly vulnerable to climate change and thus will be affected by impacts globally. One example is agriculture. The degree to which climate change affects food production across the globe will affect the demand for our agricultural products and so the profitability of this sector. Fourth, the report highlights the importance of considering the unintended consequences of adaptation measures designed to avert or minimize negative impacts of climate change on various sectors. For example, the "hardening" of coastlines with sea walls and other structures to protect transportation infrastructure against storm surge and sea-level rise eliminates the ability of coastal ecosystems to adapt to these aspects of climate change by inward migration. While this "tradeoff" may be essential, it must be understood that with the loss of coastal ecosystems such as marshlands, comes the loss of the services they provide to society such as their function as nurseries for juvenile fish stocks that are essential for the sustainability of coastal fisheries. The general message about unintended consequences is that system-level analyses must be part of developing intelligent adaptation strategies to meet the challenges of climate change.

Enabling Web-Based GIS Tools for Internet and Mobile Devices To Improve and Expand NASA Data Accessibility and Analysis Functionality for the Renewable Energy and Agricultural Applications

NASA Astrophysics Data System (ADS)

Ross, A.; Stackhouse, P. W.; Tisdale, B.; Tisdale, M.; Chandler, W.; Hoell, J. M., Jr.; Kusterer, J.

2014-12-01

The NASA Langley Research Center Science Directorate and Atmospheric Science Data Center have initiated a pilot program to utilize Geographic Information System (GIS) tools that enable, generate and store climatological averages using spatial queries and calculations in a spatial database resulting in greater accessibility of data for government agencies, industry and private sector individuals. The major objectives of this effort include the 1) Processing and reformulation of current data to be consistent with ESRI and openGIS tools, 2) Develop functions to improve capability and analysis that produce "on-the-fly" data products, extending these past the single location to regional and global scales. 3) Update the current web sites to enable both web-based and mobile application displays for optimization on mobile platforms, 4) Interact with user communities in government and industry to test formats and usage of optimization, and 5) develop a series of metrics that allow for monitoring of progressive performance. Significant project results will include the the development of Open Geospatial Consortium (OGC) compliant web services (WMS, WCS, WFS, WPS) that serve renewable energy and agricultural application products to users using GIS software and tools. Each data product and OGC service will be registered within ECHO, the Common Metadata Repository, the Geospatial Platform, and Data.gov to ensure the data are easily discoverable and provide data users with enhanced access to SSE data, parameters, services, and applications. This effort supports cross agency, cross organization, and interoperability of SSE data products and services by collaborating with DOI, NRCan, NREL, NCAR, and HOMER for requirements vetting and test bed users before making available to the wider public.

Evidence-based evolution of an integrated nutrition-focused agriculture approach to address the underlying determinants of stunting.

PubMed

Haselow, Nancy J; Stormer, Ame; Pries, Alissa

2016-05-01

Despite progress in reducing hunger and malnutrition since the 1990s, many still suffer from undernutrition and food insecurity, particularly women and young children, resulting in preterm birth, low birthweight and stunting, among other conditions. Helen Keller International (HKI) has addressed malnutrition and household food insecurity through implementation of an Enhanced Homestead Food Production (EHFP) programme that increases year-round availability and intake of diverse micronutrient-rich foods and promotes optimal nutrition and hygiene practices among poor households. This paper reviews the evolution and impact of HKI's EHFP programme and identifies core components of the model that address the underlying determinants of stunting. To date, evaluations of EHFP have shown impact on food production, consumption by women and children and household food security. Sale of surplus produce has increased household income, and the use of a transformative gender approach has empowered women. EHFP has also realized nutrition improvements in many project sites. Results from a randomized control trial (RCT) in Baitadi district, Nepal showed a significant improvement in a range of practices known to impact child growth, although no impact on stunting. Additional non-RCT evaluations in Kailali district of Nepal, demonstrated a 10.5% reduction in stunting and in the Chittagong Hill Tracts in Bangladesh, revealed an 18% decrease in stunting. Based on evidence, the EHFP has evolved into an integrated package that includes agriculture, nutrition, water/hygiene/sanitation, linkages to health care, women's empowerment, income generation and advocacy. Closing the stunting gap requires long-term exposure to targeted multi-sectoral solutions and rigorous evaluation to optimize impact. © 2016 The Authors. Maternal & Child Nutrition published by John Wiley & Sons Ltd.

World Bank Development Sector Adjustment Operation Life Line to Nigerian Universities: Impact on Information Demand and Supply in the University of Agriculture, Makurdi Library.

ERIC Educational Resources Information Center

Ozowa, Vincent Nnamdi

1995-01-01

Provides an overview of the rationale behind the World Bank credit line to Nigerian universities and examines the impact of the credit facility on the information demand and supply in the University of Agriculture, Makurdi Library (Nigeria). Discusses problems, such as poor quantity and quality of books and journals, lack of equipment, and lack of…

Mitigating greenhouse gases: the importance of land base interactions between forests, agriculture, and residential development in the face of changes in bioenergy and carbon prices

Treesearch

Ralph Alig; Greg Latta; Darius Adams; Bruce McCarl

2009-01-01

The forest sector can contribute to atmospheric greenhouse gas reduction, while also providing other environmental, economic, and social benefits. Policy tools for climate change mitigation include carbon-related payment programs as well as laws and programs to impede the loss of agricultural and forest lands to development. Policy makers will base their expectations...

The Ecuadorean Army, Security and Development in the 90s.

DTIC Science & Technology

1992-03-26

Ecuador through its support for education, agriculture, health care and its participation in industry. It analyzes both internal and external threats to... Ecuador through its support for education, agriculture, health care and its participation in industry. It analyzes both internal and external threats...and internal threats. BACKGROUND Ecuador is situated in the northwest sector of South America and despite being one of the smaller countries in the

Agricultural R&D, technology and productivity

PubMed Central

Piesse, J.; Thirtle, C.

2010-01-01

The relationships between basic and applied agricultural R&D, developed and developing country R&D and between R&D, extension, technology and productivity growth are outlined. The declining growth rates of public R&D expenditures are related to output growth and crop yields, where growth rates have also fallen, especially in the developed countries. However, growth in output value per hectare has not declined in the developing countries and labour productivity growth has increased except in the EU. Total factor productivity has generally increased, however it is measured. The public sector share of R&D expenditures has fallen and there has been rapid concentration in the private sector, where six multinationals now dominate. These companies are accumulating intellectual property to an extent that the public and international institutions are disadvantaged. This represents a threat to the global commons in agricultural technology on which the green revolution has depended. Estimates of the increased R&D expenditures needed to feed 9 billion people by 2050 and how these should be targeted, especially by the Consultative Group on International Agricultural Research (CGIAR), show that the amounts are feasible and that targeting sub-Saharan Africa (SSA) and South Asia can best increase output growth and reduce poverty. Lack of income growth in SSA is seen as the most insoluble problem. PMID:20713401

Agricultural R&D, technology and productivity.

PubMed

Piesse, J; Thirtle, C

2010-09-27

The relationships between basic and applied agricultural R&D, developed and developing country R&D and between R&D, extension, technology and productivity growth are outlined. The declining growth rates of public R&D expenditures are related to output growth and crop yields, where growth rates have also fallen, especially in the developed countries. However, growth in output value per hectare has not declined in the developing countries and labour productivity growth has increased except in the EU. Total factor productivity has generally increased, however it is measured. The public sector share of R&D expenditures has fallen and there has been rapid concentration in the private sector, where six multinationals now dominate. These companies are accumulating intellectual property to an extent that the public and international institutions are disadvantaged. This represents a threat to the global commons in agricultural technology on which the green revolution has depended. Estimates of the increased R&D expenditures needed to feed 9 billion people by 2050 and how these should be targeted, especially by the Consultative Group on International Agricultural Research (CGIAR), show that the amounts are feasible and that targeting sub-Saharan Africa (SSA) and South Asia can best increase output growth and reduce poverty. Lack of income growth in SSA is seen as the most insoluble problem.

Agricultural productivity and greenhouse gas emissions: trade-offs or synergies between mitigation and food security?

NASA Astrophysics Data System (ADS)

Valin, H.; Havlík, P.; Mosnier, A.; Herrero, M.; Schmid, E.; Obersteiner, M.

2013-09-01

In this letter, we investigate the effects of crop yield and livestock feed efficiency scenarios on greenhouse gas (GHG) emissions from agriculture and land use change in developing countries. We analyze mitigation associated with different productivity pathways using the global partial equilibrium model GLOBIOM. Our results confirm that yield increase could mitigate some agriculture-related emissions growth over the next decades. Closing yield gaps by 50% for crops and 25% for livestock by 2050 would decrease agriculture and land use change emissions by 8% overall, and by 12% per calorie produced. However, the outcome is sensitive to the technological path and which factor benefits from productivity gains: sustainable land intensification would increase GHG savings by one-third when compared with a fertilizer intensive pathway. Reaching higher yield through total factor productivity gains would be more efficient on the food supply side but halve emissions savings due to a strong rebound effect on the demand side. Improvement in the crop or livestock sector would have different implications: crop yield increase would bring the largest food provision benefits, whereas livestock productivity gains would allow the greatest reductions in GHG emission. Combining productivity increases in the two sectors appears to be the most efficient way to exploit mitigation and food security co-benefits.

University degrees consistent with agricultural production in the European Union

NASA Astrophysics Data System (ADS)

Perdigones, Alicia; del Cerro, Jesus; Tarquis, Ana Maria; Benedicto, Susana; García, Jose Luis

2013-04-01

Degrees clearly oriented to rural and agricultural engineering are distinguished from the rest of the engineering areas by the need to involve the biological phenomena of engineering calculations. These degrees, which include subjects such as crop production, biotechnology and physics, among others, have evolved tremendously over the last ten years, implanting new curricula and introducing new specialties such as those dedicated to the environment or rural development, thereby adapting new social, economic and environmental aspects of each country. Currently being finalized to implement new titles in most Spanish universities, and in rest of Europe, following the guidelines set by Bologna. The process of elaboration of these degrees is complicated precisely because of the great variety of areas and subjects involved in these degrees. In this paper we study, for several countries of the European Union, the core subjects of the university degrees of agricultural engineering and the correlations between the core contents and the importance of the related uses of the soil in the different sectors of crop production (arable crops, horticulture, fruit growing, gardening, etc.) as well as other socio-economic criteria. The objective is to detect if the design of the core content is consistent in each country with the importance of the related socio-economic sector. Key-words: curriculum, crop production, agricultural engineer.

Climate change impact assessment on food security in Indonesia

NASA Astrophysics Data System (ADS)

Ettema, Janneke; Aldrian, Edvin; de Bie, Kees; Jetten, Victor; Mannaerts, Chris

2013-04-01

As Indonesia is the world's fourth most populous country, food security is a persistent challenge. The potential impact of future climate change on the agricultural sector needs to be addressed in order to allow early implementation of mitigation strategies. The complex island topography and local sea-land-air interactions cannot adequately be represented in large scale General Climate Models (GCMs) nor visualized by TRMM. Downscaling is needed. Using meteorological observations and a simple statistical downscaling tool, local future projections are derived from state-of-the-art, large-scale GCM scenarios, provided by the CMIP5 project. To support the agriculture sector, providing information on especially rainfall and temperature variability is essential. Agricultural production forecast is influenced by several rain and temperature factors, such as rainy and dry season onset, offset and length, but also by daily and monthly minimum and maximum temperatures and its rainfall amount. A simple and advanced crop model will be used to address the sensitivity of different crops to temperature and rainfall variability, present-day and future. As case study area, Java Island is chosen as it is fourth largest island in Indonesia but contains more than half of the nation's population and dominates it politically and economically. The objective is to identify regions at agricultural risk due to changing patterns in precipitation and temperature.

Modeling Hydrological Processes in New Mexico-Texas-Mexico Border Region

NASA Astrophysics Data System (ADS)

Samimi, M.; Jahan, N. T.; Mirchi, A.

2017-12-01

Efficient allocation of limited water resources to competing use sectors is becoming increasingly critical for water-scarce regions. Understanding natural and anthropogenic processes affecting hydrological processes is key for efficient water management. We used Soil and Water Assessment Tool (SWAT) to model governing hydrologic processes in New Mexico-Texas-Mexico border region. Our study area includes the Elephant Butte Irrigation District (EBID), which manages water resources to support irrigated agriculture. The region is facing water resources challenges associated with chronic water scarcity, over-allocation, diminishing water supply, and growing water demand. Agricultural activities rely on conjunctive use of Rio Grande River water supply and groundwater withdrawal. The model is calibrated and validated under baseline conditions in the arid and semi-arid climate in order to evaluate potential impacts of climate change on the agricultural sector and regional water availability. We highlight the importance of calibrating the crop growth parameters, evapotranspiration, and groundwater recharge to provide a realistic representation of the hydrological processes and water availability in the region. Furthermore, limitations of the model and its utility to inform stakeholders will be discussed.

The role of microalgae as biodiesel feedstock in a tropical setting: Economics, agro-energy competitiveness, and potential impacts on regional agricultural feedstock production

NASA Astrophysics Data System (ADS)

Boll, Matias G.

The objective of this study is to obtain a realistic evaluation of the potential role of microalgae as a biodiesel feedstock in a tropical setting. First, microalgae economics are estimated, including the detailed design of a 400 ha microalgae open pond production farm together with the microalgae biomass and crude oil production costs calculations. Sensitivity analysis and a stochastic evaluation of the microalgae venture chances for profit are also included. Next, microalgae potential for biodiesel production is compared to traditional oil crops such as soybeans and African palm. This comparison is performed using the Northeast Region (NER) of Brazil as background. Six potential biodiesel feedstock sources produced in the NER and microalgae are compared considering selected environmental, economic and social sustainability indicators. Finally, in the third chapter, the study proposes a cropland allocation model for the NER. The model aims to offer insights to the decision maker concerning biofuel development strategies and their impact on regional agricultural feedstock production. In the model, cropland allocation among three agriculture feedstock sectors, namely staple food, commodity export and biofuel is optimized through the use of the multiple objective technique referred to as compromise programming (CP). Our results indicate a projected microalgae total production cost of R 78,359 ha-1 (US43,533), which has a breakdown as follows: R 34,133 ha-1 (US18,963) for operating costs and R 44,226 ha-1 (US24,570) for overhead (ownership) costs. Our stochastic analysis indicates that microalgae production under the conditions assumed in the baseline scenario of this study has a 0% chance to present a positive NPV for a microalgae crude oil price of R 1.86. This price corresponds to an international oil price around US 77 bbl-1. To obtain a reasonable investment return (IRR = 12%) from the microalgae farm, an international oil price as high as US 461 bbl-1 is required. Despite the advantage of using about 14 times less cropland area (0.13 ha boe-1 ), microalgae presented significant disadvantages as compared to some of the traditional oil crops. Among these is the significant amount of N fertilizer and water demanded by microalgae production, namely 205 kg and 4,990 boe -1, about 132% and 30% higher than the second highest value among the crops compared in this study, respectively. Optimized CP scenarios expanded annual cropland allocation to 14.58 million ha in the NER, year 2017, compared to 11.04 and 12.81 million ha in current (2007) and baseline (2017) scenarios, respectively. In comparison to the baseline scenario, cropland expansions allied to the shift of the commodities export dedicated cropland to the biofuel production sector in CP scenarios significantly increased the NER fuel autonomy (95%) and reduced its R 5,126 million reais deficit baseline comprehensive feedstock trade balance by 79%. Contrary to the concerns usually referred to biofuel development, our model indicates that in the NER case, it is the commodity export, rather than the staple food agriculture feedstock production sector, that is mostly affected by the biofuel cropland allocation demand. When compared to traditional oil crops, microalgae-based biodiesel scenarios could not significantly improve regional staple food autonomy, increasing this objective by 1% only. The NER fuel autonomy, in its turn, is positively impacted in the microalgae scenarios, but the increment as compared to the traditional oil crops is rather small, namely 2% and 7% in the B5 and B10 levels, respectively. These results indicate that the potential advantages expected for the microalgae-based biodiesel introduction did not materialize for the NER. It is concluded that the adoption of microalgae-based biodiesel is not an interesting biofuel alternative for the NER of Brazil for the next ten years.

Linear quadratic regulators with eigenvalue placement in a specified region

NASA Technical Reports Server (NTRS)

Shieh, Leang S.; Dib, Hani M.; Ganesan, Sekar

1988-01-01

A linear optimal quadratic regulator is developed for optimally placing the closed-loop poles of multivariable continuous-time systems within the common region of an open sector, bounded by lines inclined at + or - pi/2k (k = 2 or 3) from the negative real axis with a sector angle of pi/2 or less, and the left-hand side of a line parallel to the imaginary axis in the complex s-plane. The design method is mainly based on the solution of a linear matrix Liapunov equation, and the resultant closed-loop system with its eigenvalues in the desired region is optimal with respect to a quadratic performance index.

Consequence and Resilience Modeling for Chemical Supply Chains

NASA Technical Reports Server (NTRS)

Stamber, Kevin L.; Vugrin, Eric D.; Ehlen, Mark A.; Sun, Amy C.; Warren, Drake E.; Welk, Margaret E.

2011-01-01

The U.S. chemical sector produces more than 70,000 chemicals that are essential material inputs to critical infrastructure systems, such as the energy, public health, and food and agriculture sectors. Disruptions to the chemical sector can potentially cascade to other dependent sectors, resulting in serious national consequences. To address this concern, the U.S. Department of Homeland Security (DHS) tasked Sandia National Laboratories to develop a predictive consequence modeling and simulation capability for global chemical supply chains. This paper describes that capability , which includes a dynamic supply chain simulation platform called N_ABLE(tm). The paper also presents results from a case study that simulates the consequences of a Gulf Coast hurricane on selected segments of the U.S. chemical sector. The case study identified consequences that include impacted chemical facilities, cascading impacts to other parts of the chemical sector. and estimates of the lengths of chemical shortages and recovery . Overall. these simulation results can DHS prepare for and respond to actual disruptions.

Drivers and synergies in the management of inland fisheries: Searching for sustainable solutions

USGS Publications Warehouse

Lynch, Abigail; Beard, Douglas

2015-01-01

At the 2015 Global Conference on Inland Fisheries, we convened a Drivers and Synergies panel and working group to discuss competing sectors (e.g., hydropower, transportation, agriculture, mining and oil and gas extraction, forestry, tourism and recreation, and aquaculture) and large-scale drivers which exist predominately outside of the water sectors (e.g., economic growth, diversifying economies, population growth, urbanization, and climate change).  Drivers will influence these sectors and tradeoffs will be made.  Management of sustainable inland water systems requires making informed choices emphasizing those services that will provide sustainable benefits for humans while maintaining well-functioning ecological systems.  

Association of Parkinson's disease with industry sectors: a French nationwide incidence study.

PubMed

Vlaar, Tim; Kab, Sofiane; Schwaab, Yannick; Fréry, Nadine; Elbaz, Alexis; Moisan, Frédéric

2018-05-05

In order to identify working environments at risk for Parkinson's disease (PD), we investigated the relation between the importance of industry sectors, used as a surrogate for occupational exposures, and PD incidence in French cantons. The number of incident PD cases (2010-2014) in 3689 cantons of metropolitan France was determined using drug claims from French National Health Insurance databases. The proportions of workers in 38 industry sectors in 2006 were calculated for each canton. Associations between the proportions of workers in industry sectors and PD age/sex-standardized incidence ratios were examined using incidence rate ratios (IRR) and 95% confidence intervals (CI) estimated with multilevel negative binomial regressions with a random intercept at the canton-level and adjusted for smoking, deprivation index, and density of neurologists. We then used two-step semi-Bayes hierarchical regression (HR) to include prior information about exposure to pesticides, metals, and solvents in each industry sector. We identified 112,625 incident cases. PD incidence was higher in areas characterized by high proportions of workers in "Agriculture, forestry and fishing" (IRR HR  = 1.042; CI 95% = 1.014-1.070; p-Trend HR  = 0.004), "Manufacture of textiles, wearing apparel, leather and related products" (IRR HR  = 1.024; CI 95% = 1.005-1.044; p-Trend HR  = 0.010), and "Manufacture of basic metals and fabricated metal products, except machinery and equipment" (IRR HR  = 1.024; CI 95% = 1.003-1.046; p-Trend HR  = 0.071). This nationwide study, based on a comprehensive analysis of industry sectors, shows significant associations between high proportions of workers in specific industry sectors (agriculture, metallurgy, textile) and PD incidence that may be targeted in further epidemiological studies to replicate and better understand these associations.

Anthropogenic Climate Change in Asia: Key Challenges

NASA Astrophysics Data System (ADS)

Ramaswamy, V.

2009-12-01

The energy, agricultural, and water sectors in Asia, a vast continent that comprises more than half of the world's population, are crucially vulnerable to shifts in climate. The acceleration of economic development in Asia over the past few decades, the dependence of its huge agricultural economy on rainfall, and its growing energy demands have thrust climate change and its impacts squarely into important sectors of the Asian society. Further, it is likely that there has been significant anthropogenic warming over the past 50 years averaged over the Asian continent (Intergovernmental Panel on Climate Change (IPCC) [2007]; see Figure 1a). Asian megacities are already witnessing stresses in food, water, transportation, health, and air quality. The situation could become even worse with projected changes in temperature and rainfall in the 21st century, coupled with the likelihood that climate change will exacerbate extremes.

Correlates of preferences for home or hospital confinement in Pakistan: evidence from a national survey.

PubMed

Javed, Sajid Amin; Anjum, Muhammad Danish; Imran, Waqas; Haider, Azad; Shiraz, Ayesha; Shaheen, Farzana; Iftikhar ul Husnain, Muhammad

2013-06-24

Despite the pregnancy complications related to home births, homes remain yet major place of delivery in Pakistan and 65 percent of totals births take place at home. This work analyses the determinants of place of delivery in Pakistan. Multivariate Logistic regression is used for analysis. Data are extracted from Pakistan Demographic and Health Survey (2006-07). Based on information on last birth preceding 5 years of survey, we construct dichotomous dependent variable i.e. whether women deliver at home (Coded=1) or at health facility (coded=2). Bivariate analysis shows that 72% (p≤0.000) women from rural area and 81% women residing in Baluchistan delivered babies at home. Furthermore 75% women with no formal education, 81% (p≤0.000) women working in agricultural sector, 75% (p≤0.000) of Women who have 5 and more children and almost 77% (p≤0.000) who do not discussed pregnancy related issues with their husbands are found delivering babies at home. Multivariate analysis documents that mothers having lower levels of education, economic status and empowerment, belonging to rural area, residing in provinces other than Punjab, working in agriculture sector and mothers who are young are more likely to give births at home. A trend for home births, among Pakistani women, can be traced in lower levels of education, lower autonomy, poverty driven working in agriculture sector, higher costs of using health facilities and regional backwardness.

Global Adoption of Genetically Modified (GM) Crops: Challenges for the Public Sector.

PubMed

Huesing, Joseph E; Andres, David; Braverman, Michael P; Burns, Andrea; Felsot, Allan S; Harrigan, George G; Hellmich, Richard L; Reynolds, Alan; Shelton, Anthony M; Jansen van Rijssen, Wilna; Morris, E Jane; Eloff, Jacobus N

2016-01-20

Advances in biotechnology continue to drive the development of a wide range of insect-protected, herbicide-tolerant, stress-tolerant, and nutritionally enhanced genetically modified (GM) crops, yet societal and public policy considerations may slow their commercialization. Such restrictions may disproportionately affect developing countries, as well as smaller entrepreneurial and public sector initiatives. The 2014 IUPAC International Congress of Pesticide Chemistry (San Francisco, CA, USA; August 2014) included a symposium on "Challenges Associated with Global Adoption of Agricultural Biotechnology" to review current obstacles in promoting GM crops. Challenges identified by symposium presenters included (i) poor public understanding of GM technology and the need for enhanced communication strategies, (ii) nonharmonized and prescriptive regulatory requirements, and (iii) limited experience with regulations and product development within some public sector programs. The need for holistic resistance management programs to enable the most effective use of insect-protected crops was also a point of emphasis. This paper provides details on the symposium discussion and provides background information that can be used in support of further adoption of beneficial GM crops. Overall, it emphasizes that global adoption of modern agricultural biotechnology has not only provided benefits to growers and consumers but has great potential to provide solutions to an increasing global population and diminishing agricultural land. This potential will be realized by continued scientific innovation, harmonized regulatory systems, and broader communication of the benefits of the high-yielding, disease-resistant, and nutritionally enhanced crops attainable through modern biotechnology.

Assessment and management of water resources in Egypt to face drought and water scarcity

NASA Astrophysics Data System (ADS)

Wolters, Wouter; El Guindy, Samia; Salah El Deen, Magdy; Roest, Koen; Smit, Robert; Froebrich, Jochen

2013-04-01

Egypt is one of the countries hardest hit by global and climate change. Challenges include population growth; increased demands for food, water, and energy; as well as changing land use patterns and urbanization. Egypt's part of the Mediterranean is characterized by a very complex hydrological system, as it lacks rainfall (Cairo average 30 mm/year) and it is completely dependent on the Nile river flow. The growth of the Egyptian population and its economy in the near future leads to an increase in the demand for water and the overall water allocation priority basically is: first drinking water, then industry, and whatever is remaining will be available for agriculture and nature. Because the agricultural sector uses more than 80 per cent of available water, the main option available to reduce water scarcity in the priority sectors of the economy is to allocate less to the agriculture sector. Scientifically based advances in facing future drought and water scarcity through innovations increasing yields and food security by measures leading to "more crop per drop" are required. New and modern large- and medium-scale agriculture is being developed in desert areas with participation of the private sector for investments. To prepare the farming community and others elsewhere, for the future situation of water shortages, a paradigm shift is needed. New farming systems under tight water supply conditions are in development to prepare for a future with less water. Egyptian farming systems need a major transition to prevent further marginalization of agriculture, which would also have a major impact on food security. Central to this transition should be the increase of value generated per volume available water, also referred to as "more crop per drop" or "more cash per splash". There is room for the urgently required improvement: the present return on water in agriculture in Egypt is about US 0.25 /m3, where values of over US 1 /m3 are "easily" reached elsewhere. Moreover, innovations on resource efficiency enabling use of rest and by-products of one agricultural activity as an input for another one will be profitable for the food producers and will also be better for the environment. The creative design process to reach the required technological and policy innovations contributes to the developed adaptation strategy to face drought and water scarcity. Results will incorporate some previously un-thought of options. The issues of water scarcity and drought have consequences and implications that can no longer be adequately addressed by any one of the Ministries alone. Many other government departments and agencies must be involved and decisions will have to be made at the highest political level. All policies in Egypt must be conscious of the limitations in water availability, and water policies need to address technological developments as well as the full range of other issues, including: macro-economic factors, economic issues that influence farm-level decisions, development of human capital, governance, and financial risk management.

The worldwide market for photovoltaics in the rural sector

NASA Technical Reports Server (NTRS)

Brainard, W. A.

1982-01-01

The worldwide market for stand-alone photovoltaic power systems in three specific segments of the rural sector were determined. The worldwide market for photovoltaic power systems for village power, cottage industry, and agricultural applications were addressed. The objectives of these studies were to: The market potential for small stand-alone photovoltaic power system in specific application areas was assessed. Technical, social and institutional barriers to PV utilization were identified. Funding sources available to potential users was also identified and marketing strategies appropriate for each sector were recommended to PV product manufacturers. The studies were prepared on the basis of data gathered from domestic sources and from field trips to representative countries. Both country-specific and sector-specific results are discussed, and broadly applicable barriers pertinent to international marketing of PV products are presented.

Large scale hydro-economic modelling for policy support

NASA Astrophysics Data System (ADS)

de Roo, Ad; Burek, Peter; Bouraoui, Faycal; Reynaud, Arnaud; Udias, Angel; Pistocchi, Alberto; Lanzanova, Denis; Trichakis, Ioannis; Beck, Hylke; Bernhard, Jeroen

2014-05-01

To support European Union water policy making and policy monitoring, a hydro-economic modelling environment has been developed to assess optimum combinations of water retention measures, water savings measures, and nutrient reduction measures for continental Europe. This modelling environment consists of linking the agricultural CAPRI model, the LUMP land use model, the LISFLOOD water quantity model, the EPIC water quality model, the LISQUAL combined water quantity, quality and hydro-economic model, and a multi-criteria optimisation routine. With this modelling environment, river basin scale simulations are carried out to assess the effects of water-retention measures, water-saving measures, and nutrient-reduction measures on several hydro-chemical indicators, such as the Water Exploitation Index (WEI), Nitrate and Phosphate concentrations in rivers, the 50-year return period river discharge as an indicator for flooding, and economic losses due to water scarcity for the agricultural sector, the manufacturing-industry sector, the energy-production sector and the domestic sector, as well as the economic loss due to flood damage. Recently, this model environment is being extended with a groundwater model to evaluate the effects of measures on the average groundwater table and available resources. Also, water allocation rules are addressed, while having environmental flow included as a minimum requirement for the environment. Economic functions are currently being updated as well. Recent development and examples will be shown and discussed, as well as open challenges.

The interconnected and cross-border nature of risks posed by infectious diseases

PubMed Central

Suk, Jonathan E.; Van Cangh, Thomas; Beauté, Julien; Bartels, Cornelius; Tsolova, Svetla; Pharris, Anastasia; Ciotti, Massimo; Semenza, Jan C.

2014-01-01

Infectious diseases can constitute public health emergencies of international concern when a pathogen arises, acquires new characteristics, or is deliberately released, leading to the potential for loss of human lives as well as societal disruption. A wide range of risk drivers are now known to lead to and/or exacerbate the emergence and spread of infectious disease, including global trade and travel, the overuse of antibiotics, intensive agriculture, climate change, high population densities, and inadequate infrastructures, such as water treatment facilities. Where multiple risk drivers interact, the potential impact of a disease outbreak is amplified. The varying temporal and geographic frequency with which infectious disease events occur adds yet another layer of complexity to the issue. Mitigating the emergence and spread of infectious disease necessitates mapping and prioritising the interdependencies between public health and other sectors. Conversely, during an international public health emergency, significant disruption occurs not only to healthcare systems but also to a potentially wide range of sectors, including trade, tourism, energy, civil protection, transport, agriculture, and so on. At the same time, dealing with a disease outbreak may require a range of critical sectors for support. There is a need to move beyond narrow models of risk to better account for the interdependencies between health and other sectors so as to be able to better mitigate and respond to the risks posed by emerging infectious disease. PMID:25308818

High-resolution sensing for precision agriculture: from Earth-observing satellites to unmanned aerial vehicles

NASA Astrophysics Data System (ADS)

McCabe, Matthew F.; Houborg, Rasmus; Lucieer, Arko

2016-10-01

With global population projected to approach 9 billion by 2050, it has been estimated that a 40% increase in cereal production will be required to satisfy the worlds growing nutritional demands. Any such increases in agricultural productivity are likely to occur within a system that has limited room for growth and in a world with a climate that is different from that of today. Fundamental to achieving food and water security, is the capacity to monitor the health and condition of agricultural systems. While space-agency based satellites have provided the backbone for earth observation over the last few decades, many developments in the field of high-resolution earth observation have been advanced by the commercial sector. These advances relate not just to technological developments in the use of unmanned aerial vehicles (UAVs), but also the advent of nano-satellite constellations that offer a radical shift in the way earth observations are now being retrieved. Such technologies present opportunities for improving our description of the water, energy and carbon cycles. Efforts towards developing new observational techniques and interpretative frameworks are required to provide the tools and information needed to improve the management and security of agricultural and related sectors. These developments are one of the surest ways to better manage, protect and preserve national food and water resources. Here we review the capabilities of recently deployed satellite systems and UAVs and examine their potential for application in precision agriculture.

Agroterrorism: where are we in the ongoing war on terrorism?

PubMed

Crutchley, Tamara M; Rodgers, Joel B; Whiteside, Heustis P; Vanier, Marty; Terndrup, Thomas E

2007-03-01

The U.S. agricultural infrastructure is one of the most productive and efficient food-producing systems in the world. Many of the characteristics that contribute to its high productivity and efficiency also make this infrastructure extremely vulnerable to a terrorist attack by a biological weapon. Several experts have repeatedly stated that taking advantage of these vulnerabilities would not require a significant undertaking and that the nation's agricultural infrastructure remains highly vulnerable. As a result of continuing criticism, many initiatives at all levels of government and within the private sector have been undertaken to improve our ability to detect and respond to an agroterrorist attack. However, outbreaks, such as the 1999 West Nile outbreak, the 2001 anthrax attacks, the 2003 monkeypox outbreak, and the 2004 Escherichia coli O157:H7 outbreak, have demonstrated the need for improvements in the areas of communication, emergency response and surveillance efforts, and education for all levels of government, the agricultural community, and the private sector. We recommend establishing an interdisciplinary advisory group that consists of experts from public health, human health, and animal health communities to prioritize improvement efforts in these areas. The primary objective of this group would include establishing communication, surveillance, and education benchmarks to determine current weaknesses in preparedness and activities designed to mitigate weaknesses. We also recommend broader utilization of current food and agricultural preparedness guidelines, such as those developed by the U.S. Department of Agriculture and the U.S. Food and Drug Administration.

Multi-gas and multi-source comparisons of six land use emission datasets and AFOLU estimates in the Fifth Assessment Report, for the tropics for 2000-2005

NASA Astrophysics Data System (ADS)

Roman-Cuesta, Rosa Maria; Herold, Martin; Rufino, Mariana C.; Rosenstock, Todd S.; Houghton, Richard A.; Rossi, Simone; Butterbach-Bahl, Klaus; Ogle, Stephen; Poulter, Benjamin; Verchot, Louis; Martius, Christopher; de Bruin, Sytze

2016-10-01

The Agriculture, Forestry and Other Land Use (AFOLU) sector contributes with ca. 20-25 % of global anthropogenic emissions (2010), making it a key component of any climate change mitigation strategy. AFOLU estimates, however, remain highly uncertain, jeopardizing the mitigation effectiveness of this sector. Comparisons of global AFOLU emissions have shown divergences of up to 25 %, urging for improved understanding of the reasons behind these differences. Here we compare a variety of AFOLU emission datasets and estimates given in the Fifth Assessment Report for the tropics (2000-2005) to identify plausible explanations for the differences in (i) aggregated gross AFOLU emissions, and (ii) disaggregated emissions by sources and gases (CO2, CH4, N2O). We also aim to (iii) identify countries with low agreement among AFOLU datasets to navigate research efforts. The datasets are FAOSTAT (Food and Agriculture Organization of the United Nations, Statistics Division), EDGAR (Emissions Database for Global Atmospheric Research), the newly developed AFOLU "Hotspots", "Houghton", "Baccini", and EPA (US Environmental Protection Agency) datasets. Aggregated gross emissions were similar for all databases for the AFOLU sector: 8.2 (5.5-12.2), 8.4, and 8.0 Pg CO2 eq. yr-1 (for Hotspots, FAOSTAT, and EDGAR respectively), forests reached 6.0 (3.8-10), 5.9, 5.9, and 5.4 Pg CO2 eq. yr-1 (Hotspots, FAOSTAT, EDGAR, and Houghton), and agricultural sectors were with 1.9 (1.5-2.5), 2.5, 2.1, and 2.0 Pg CO2 eq. yr-1 (Hotspots, FAOSTAT, EDGAR, and EPA). However, this agreement was lost when disaggregating the emissions by sources, continents, and gases, particularly for the forest sector, with fire leading the differences. Agricultural emissions were more homogeneous, especially from livestock, while those from croplands were the most diverse. CO2 showed the largest differences among the datasets. Cropland soils and enteric fermentation led to the smaller N2O and CH4 differences. Disagreements are explained by differences in conceptual frameworks (carbon-only vs. multi-gas assessments, definitions, land use vs. land cover, etc.), in methods (tiers, scales, compliance with Intergovernmental Panel on Climate Change (IPCC) guidelines, legacies, etc.) and in assumptions (carbon neutrality of certain emissions, instantaneous emissions release, etc.) which call for more complete and transparent documentation for all the available datasets. An enhanced dialogue between the carbon (CO2) and the AFOLU (multi-gas) communities is needed to reduce discrepancies of land use estimates.

Water footprint, extended water footprint and virtual water trade of the Cantabria region, Spain. A critical appraisal of results, uncertainties and methods.

NASA Astrophysics Data System (ADS)

Diaz-Alcaide, Silvia; Martinez-Santos, Pedro; Willaarts, Barbara; Hernández-Moreno, Enrique; Llamas, M. Ramon

2015-04-01

Water footprint assessments have gradually gained recognition as valuable tools for water management, to the point that they have been officially incorporated to water planning in countries such as Spain. Adequate combinations of the virtual water and water footprint concepts present the potential to link a broad range of sectors and issues, thus providing appropriate frameworks to support optimal water allocation and to inform production and trade decisions from the water perspective. We present the results of a regional study carried out in Cantabria, a 5300 km2 autonomous region located in northern Spain. Our approach deals with the municipal, shire and regional scales, combining different methods to assess each of the main components of Cantabria's water footprint (agriculture, livestock, forestry, industry, mining, tourism, domestic use and reservoirs), as well as exploring the significance of different approaches, assumptions and databases in the overall outcomes. The classic water footprint method is coupled with extended water footprint analyses in order to provide an estimate of the social and economic value of each sector. Finally, virtual water imports and exports are computed between Cantabria and the rest of Spain and between Cantabria and the world. The outcome of our work (a) highlights the paramount importance of green water (mostly embedded in pastures) in the region's water footprint and virtual water exports; (b) establishes the role of the region as a net virtual water exporter; (c) shows the productivity of water (euro/m3 and jobs/m3) to be highest in tourism and lowest in agriculture and livestock; and (d) demonstrates that statistical databases are seldom compiled with water footprint studies in mind, which is likely to introduce uncertainties in the results. Although our work shows that there is still plenty of room for improvement in regional-scale water footprint assessments, we contend that the available information is sufficient to attain meaningful results and to underpin water management practices.

An Integrated Approach to Identification, Assessment and Management of Watershed-Scale Risk for Sustainable Water Use Through Reuse and Recycling

NASA Astrophysics Data System (ADS)

Hunter, C. K.; Bolster, D.; Gironas, J. A.

2014-12-01

Water resources are essential to development, not only economically but also socially, politically and ecologically. With growing demand and potentially shrinking supply, water scarcity is one of the most pressing socio-ecological problems of the 21st century. Considering implications of global change and the complexity of interrelated systems, uncertain future conditions compound problems associated with water stress, requiring hydrologic models to re-examine traditional water resource planning and management. The Copiapó water basin, located in the Atacama Desert of northern Chile exhibits a complex resource management scenario. With annual average precipitation of only 28 mm, water intensive sectors such as export agriculture, extensive mining, and a growing population have depleted the aquifeŕs reserves to near critical levels. Being that global climate change models predict a decrease in already scarce precipitation, and that growing population and economies demand will likely increase, the real future situation might be even worse than that predicted. A viable option for alleviation of water stress, water reuse and recycling has evolved through technological innovation to feasibly meet hydraulic needs with reclaimed water. For the proper application of these methods for resource management, however, stakeholders must possess tools by which to quantify hydrologic risk, understand its factors of causation, and choose between competing management scenarios and technologies so as to optimize productivity. While previous investigations have addressed similar problems, they often overlook aspects of forecasting uncertainty, proposing solutions that while accurate under specific scenarios, lack robustness to withstand future variations. Using the WEAP (Water Evaluation and Planning) platform for hydrologic modeling, this study proposes a methodology, applicable to other stressed watersheds, to quantify inherent risk in water management positions, while considering uncertainties in supply (climate change), demand (market variations), and measurement (risk definition). Applied to the Copaipó case study, this methodology proposes the solution of a 30% demand decrease within the agricultural sector through urban wastewater recycling and increased irrigation efficiency.

The Nitrogen Footprint Tool Network: A Multi-Institution Program To Reduce Nitrogen Pollution

PubMed Central

Leach, Allison M.; Leary, Neil; Baron, Jill; Compton, Jana E.; Galloway, James N.; Hastings, Meredith G.; Kimiecik, Jacob; Lantz-Trissel, Jonathan; de la Reguera, Elizabeth; Ryals, Rebecca

2017-01-01

Abstract Anthropogenic sources of reactive nitrogen have local and global impacts on air and water quality and detrimental effects on human and ecosystem health. This article uses the Nitrogen Footprint Tool (NFT) to determine the amount of nitrogen (N) released as a result of institutional consumption. The sectors accounted for include food (consumption and upstream production), energy, transportation, fertilizer, research animals, and agricultural research. The NFT is then used for scenario analysis to manage and track reductions, which are driven by the consumption behaviors of both the institution itself and its constituent individuals. In this article, the first seven completed institution nitrogen footprint results are presented. The Nitrogen Footprint Tool Network aims to develop footprints for many institutions to encourage widespread upper-level management strategies that will create significant reductions in reactive nitrogen released to the environment. Energy use and food purchases are the two largest sectors contributing to institution nitrogen footprints. Ongoing efforts by institutions to reduce greenhouse gas emissions also help to reduce the nitrogen footprint, but the impact of food production on nitrogen pollution has not been directly addressed by the higher education sustainability community. The Nitrogen Footprint Tool Network found that institutions could reduce their nitrogen footprints by optimizing food purchasing to reduce consumption of animal products and minimize food waste, as well as by reducing dependence on fossil fuels for energy. PMID:29350216

The Nitrogen Footprint Tool network: A multi-institution program to reduce nitrogen pollution

USGS Publications Warehouse

Castner, Elizabeth A.; Leah, Allison M.; Leary, Neal; Baron, Jill S.; Compton, Jana E.; Galloway, James N.; Hastings, Meredith G.; Kimiecik, Jacob; Lantz-Trissel, Jonathan; de la Riguera, Elizabeth; Ryals, Rebecca

2017-01-01

Anthropogenic sources of reactive nitrogen have local and global impacts on air and water quality and detrimental effects on human and ecosystem health. This paper uses the nitrogen footprint tool (NFT) to determine the amount of nitrogen (N) released as a result of institutional consumption. The sectors accounted for include food (consumption and upstream production), energy, transportation, fertilizer, research animals, and agricultural research. The NFT is then used for scenario analysis to manage and track reductions, which are driven by the consumption behaviors of both the institution itself and its constituent individuals. In this paper, the first seven completed institution nitrogen footprint results are presented. The institution NFT network aims to develop footprints for many institutions to encourage widespread upper-level management strategies that will create significant reductions in reactive nitrogen released to the environment. Energy use and food purchases are the two largest sectors contributing to institution nitrogen footprints. Ongoing efforts by institutions to reduce greenhouse gas emissions also help to reduce the nitrogen footprint, but the impact of food production on nitrogen pollution has not been directly addressed by the higher-ed sustainability community. The NFT Network found that institutions could reduce their nitrogen footprints by optimizing food purchasing to reduce consumption of animal products and minimize food waste, as well as reducing dependence on fossil fuels for energy.

Utilizing a Value of Information Framework to Improve Ore Collection and Classification Procedures

DTIC Science & Technology

2006-05-01

account for uncertainty in revenues or costs. Studies that utilize this type of deterministic modeling are: Boshkov & Wright (1973); Laubscher (1981... Disney & Peters, 2003). Disney & Peters (2003) reference a number of applications in both the veterinary and agricultural sectors. Agricultural studies...covered by revenue made from selling the end product. Because the cost data are aggregated for the BI and D3 mills at Kiruna, we have to allocate the

Protecting DHS Component Pre-9/11 Functions: Improving Visibility in Budget Exhibits

DTIC Science & Technology

2015-09-01

Security HUD Department of Housing and Urban Development LMR Living Marine Resources ICE Immigrations and Customs Enforcement M&A Management and...Department of Housing and Urban Development (HUD) “in order to better align it with the homeless assistance programs within that department.”63 At its...the agriculture sector to foreign pests and disease.80 There is certainly no shortage of activity in the agricultural inspection function; the volume

COIN in Peace building: Case Study of the 2009 Malakand Operation

DTIC Science & Technology

2011-09-01

rule of law ❖❖ agriculture and natural resources ❖❖ nonfarm economic development ❖❖ education ❖❖ infrastructure ❖❖ health ❖❖ social protection...rule of law ❖❖ agriculture and natural resources ❖❖ nonfarm economic development ❖❖ education ❖❖ infrastructure ❖❖ health ❖❖ social protection...private sector , upgrading productive assets, supporting entrepreneurial initiatives, and engendering sensitive business develop - ment services. Along

Case studies of violations of workers' freedom of association: migrant agricultural workers.

PubMed

2002-01-01

As part of its report "Unfair Advantage: Workers' Freedom of Association in the United States under International Human Rights Standards," Human Rights Watch conducted a series of case studies in a dozen states, covering a variety of industries and employment sectors, analyzing the U.S. experience in the light of both national law and international human rights and labor rights norms. Presented here are the case studies of migrant agricultural workers.

Oil County Traffic Safety Survey, 2012

DOT National Transportation Integrated Search

2012-09-01

Over time, road usage in western North Dakota has changed. Interstate, highway, and low-volume unpaved roads have been used with greater frequency because of increased agricultural production and a growing energy sector. This evolution is especially ...

Source-sector contributions to European ozone and fine PM in 2010 using AQMEII modeling data

NASA Astrophysics Data System (ADS)

Karamchandani, Prakash; Long, Yoann; Pirovano, Guido; Balzarini, Alessandra; Yarwood, Greg

2017-05-01

Source apportionment modeling provides valuable information on the contributions of different source sectors and/or source regions to ozone (O3) or fine particulate matter (PM2.5) concentrations. This information can be useful in designing air quality management strategies and in understanding the potential benefits of reducing emissions from a particular source category. The Comprehensive Air quality Model with Extensions (CAMx) offers unique source attribution tools, called the Ozone and Particulate Source Apportionment Technology (OSAT/PSAT), which track source contributions. We present results from a CAMx source attribution modeling study for a summer month and a winter month using a recently evaluated European CAMx modeling database developed for Phase 3 of the Air Quality Model Evaluation International Initiative (AQMEII). The contributions of several source sectors (including model boundary conditions of chemical species representing transport of emissions from outside the modeling domain as well as initial conditions of these species) to O3 or PM2.5 concentrations in Europe were calculated using OSAT and PSAT, respectively. A 1-week spin-up period was used to reduce the influence of initial conditions. Evaluation focused on 16 major cities and on identifying source sectors that contributed above 5 %. Boundary conditions have a large impact on summer and winter ozone in Europe and on summer PM2.5, but they are only a minor contributor to winter PM2.5. Biogenic emissions are important for summer ozone and PM2.5. The important anthropogenic sectors for summer ozone are transportation (both on-road and non-road), energy production and conversion, and industry. In two of the 16 cities, solvent and product also contributed above 5 % to summertime ozone. For summertime PM2.5, the important anthropogenic source sectors are energy, transportation, industry, and agriculture. Residential wood combustion is an important anthropogenic sector in winter for PM2.5 over most of Europe, with larger contributions in central and eastern Europe and the Nordic cities. Other anthropogenic sectors with large contributions to wintertime PM2.5 include energy, transportation, and agriculture.

The association between chronic conditions and non-agricultural work productivity loss among the middle-aged Chinese population.

PubMed

Zhang, Wei; Sun, Huiying; Li, Xin

2018-05-03

To measure the association between different chronic conditions and non-agricultural work productivity loss among the middle-aged Chinese population. We used 2011, 2013 and 2015 data from the China Health and Retirement Longitudinal Study. The study focused on middle-aged respondents who had the potential to work in the non-agricultural sector. Work productivity loss was measured by non-agricultural work participation and number of absent workdays among those conducting non-agricultural work. Seven different chronic conditions were considered. Heart diseases had the strongest association with lower work participation for men and women. Stomach/digestive disease and arthritis/rheumatism were conditions with the largest incremental absent workdays for men and women, respectively. The associations with non-agricultural work productivity loss varied by chronic conditions, outcomes, and sex. The findings will help motivate chronic condition prevention/management programs and set priorities.

Nanotechnology based approaches for detection and delivery of microRNA in healthcare and crop protection.

PubMed

Chaudhary, Vrantika; Jangra, Sumit; Yadav, Neelam R

2018-04-13

Nanobiotechnology has the potential to revolutionize diverse sectors including medicine, agriculture, food, textile and pharmaceuticals. Disease diagnostics, therapeutics and crop protection strategies are fast emerging using nanomaterials preferably nanobiomaterials. It has potential for development of novel nanobiomolecules which offer several advantages over conventional treatment methods. RNA nanoparticles with many unique features are promising candidates in disease treatment. The miRNAs are involved in many biochemical and developmental pathways and their regulation in plants and animals. These appear to be a powerful tool for controlling various pathological diseases in human, plants and animals, however there are challenges associated with miRNA based nanotechnology. Several advancements made in the field of miRNA therapeutics make it an attractive approach, but a lot more has to be explored in nanotechnology assisted miRNA therapy. The miRNA based technologies can be employed for detection and combating crop diseases as well. Despite these potential advantages, nanobiotechnology applications in the agricultural sector are still in its infancy and have not yet made its mark in comparison with healthcare sector. The review provides a platform to discuss nature, role and use of miRNAs in nanobiotechnology applications.

The international political economy of food: a global crisis.

PubMed

Friedmann, H

1995-01-01

The largest gap between national regulation and transnational economic organization is in the agro-food sector. This gap is the legacy of the post-World War II food regime, whose implicit rules gave priority to national farm programs (including import controls and export subsidies); placed the United States at the center; generated chronic surpluses; and allowed international power to take the unusual form of subsidized exports of surplus commodities, particularly wheat. The author analyzes the emergence and contradictions of the postwar food regime as a tension between replication and integration of national agro-food sectors, often interpreted as "export of the U.S. model." By the early 1970s, replication led to international economic conflict, while transnational corporations found national regulatory frameworks to be obstacles to further integration of a potentially global agro-food sector. A new axis between Asian import countries and new agricultural countries, such as Brazil, has destabilized the Atlantic-centered food regime, without creating a new regime. Alternative future regime are identified, based on the shift from agriculture to food, employment, and land use as political issues: private global regulation or democratic regulation of nested, regional agro-food economies, federated at the international level.

Bioenergy Landscape Design to Minimize the Environmental Impacts of Feedstock Cultivation

NASA Astrophysics Data System (ADS)

Field, J.; Dinh, T.; Paustian, K.

2012-12-01

The United States has adopted aggressive mandates for the use of biofuels in an attempt to improve domestic energy security, reduce greenhouse gas (GHG) emissions in the transportation sector, and stimulate rural development. The Renewable Fuel Standard requires that the environmental impact of all conventional, advanced, and cellulosic biofuels be evaluated through standardized lifecycle assessment (LCA) techniques relative to a baseline of petroleum-derived gasoline and diesel fuels. A significant fraction of the energy use, GHG emissions, and water quality impact of the production of all types of biofuel occurs during the cultivation of feedstocks (either starch- or oil-based or lignocellulosic), which requires some combination of crop switching, land use change, or cultivation intensification. Furthermore, these impacts exhibit a high degree of spatial variability with local climate, soil type, land use history, and farm management practices. Here we present a spatially-explicit LCA methodology based on the DayCent soil biogeochemistry model capable of accurately evaluating cultivation impacts for a variety of biofuel feedstocks. This methodology considers soil GHG emissions and nitrate leaching as well as the embodied emissions of agricultural inputs and fuels used for field operations and biomass transport to a centralized collection point (biorefinery or transportation hub). Model results are incorporated into a biomass production cost analysis in order to identify the impact of different system designs on production cost. Finally, the resulting multi-criteria optimization problem is solved by monetizing all environmental externalities based on figures from the non-market valuation literature and using a heuristic optimization algorithm to identify optimal cultivation areas and collection point locations to minimize overall environmental impacts at lowest possible cost. Preliminary analysis results are presented for an illustrative case study of switchgrass production to supply a commercial-scale cellulosic ethanol plant currently under construction in the Great Plains. This case study supports a larger effort to mobilize this methodology into a web-based, user-friendly tool allowing farmers, academics, and biorefinery facility owners to investigate the effects of management choices and facility siting on system environmental performance, and advancing the state-of-the-art for regulatory assessment tools in the bioenergy sector.

China Macroeconomic Model. Specification Report, User’s Guide, Scenario Report, Trade Data Sources Report.

DTIC Science & Technology

1984-11-01

model, all linked to input-output flows from the relevant sector to all of the eleven sectors. They form an important analytical tool for gauging the...with very little in the way of intermediate inputs. However, most of coal is used up in intermediate inputs, as fuel for steel and other industrial...machine tools be developed even more rapidly as a domestic resource, rather than being imported? What about agricultural chemicals? China is unlikely

Leveraging Agriculture to Break Nigeria’s Oil Curse

DTIC Science & Technology

2012-11-02

productivity has been miserable . The country is ranked 11th in the world in terms of arable land, but it is ranked 116th out of 138 farming nations in...v=1 12 Alex Gboyega, Tina Soreide, Tuan Minh Le , and G.P. Shukla, “Political Economy of the Petroleum Sector in Nigeria,” (Policy Research...Minh Le , and G.P. Shukla, “Political Economy of the Petroleum Sector in Nigeria,” Policy Research Working Paper no. 5779, The World Bank/August 2011

National consultation leads to agrivita research to practice plan for Canada.

PubMed

Asselin, Johanne; MacLeod, Martha L P; Dosman, James A

2009-01-01

A gap exists between research development and its implementation in agricultural health and safety. In order to fill this gap, the goal of this project was to consult agricultural stakeholders across Canada in order to identify the health and safety priorities in research and knowledge translation, and then to propose an approach to bridge the gap. Between April and August 2007, "A National Stakeholder Consultation on Health and Safety Research and its Effective Translation to the Agricultural Sector" was initiated by the Canadian Centre for Heath and Safety in Agriculture. The experiences and opinions of stakeholders across Canada were gathered through focus groups with over 150 participants in seven Canadian provinces and a survey of 289 individuals across Canada. Stakeholders identified a range of health and safety research priorities. Chemical exposure, stress, and farm safety issues were immediate concerns and issues surrounding labor and trained workers, whereas health problems and environmental issues were long-term concerns. Results identified research and knowledge translation priorities, which provided elements for a proposed program aiming at bridging the gap existing between research development and its translation into practice. A request for a knowledge translation/transfer mechanism, where all agricultural stakeholders from researchers to end users are involved in the process, was identified. Findings from the national consultation were used to develop a business plan entitled "Agrivita Research to Practice Program: A Partnership Plan for Health and Safety and its Effective Transfer to the Agricultural Sector in Canada." The plan provides for a coordinated and integrated approach in Canada, conceptually drawing on the American experience established by The National Institute for Occupational Safety and Health.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Marks, Gary; Wilcox, Edmund; Olsen, Daniel

California agricultural irrigation consumes more than ten billion kilowatt hours of electricity annually and has significant potential for contributing to a reduction of stress on the grid through demand response, permanent load shifting, and energy efficiency measures. To understand this potential, a scoping study was initiated for the purpose of determining the associated opportunities, potential, and adoption challenges in California agricultural irrigation. The primary research for this study was conducted in two ways. First, data was gathered and parsed from published sources that shed light on where the best opportunities for load shifting and demand response lie within the agriculturalmore » irrigation sector. Secondly, a small limited survey was conducted as informal face-to-face interviews with several different California growers to get an idea of their ability and willingness to participate in permanent load shifting and/or demand response programs. Analysis of the data obtained from published sources and the survey reveal demand response and permanent load shifting opportunities by growing region, irrigation source, irrigation method, grower size, and utility coverage. The study examines some solutions for demand response and permanent load shifting in agricultural irrigation, which include adequate irrigation system capacity, automatic controls, variable frequency drives, and the contribution from energy efficiency measures. The study further examines the potential and challenges for grower acceptance of demand response and permanent load shifting in California agricultural irrigation. As part of the examination, the study considers to what extent permanent load shifting, which is already somewhat accepted within the agricultural sector, mitigates the need or benefit of demand response for agricultural irrigation. Recommendations for further study include studies on how to gain grower acceptance of demand response as well as other related studies such as conducting a more comprehensive survey of California growers.« less

Salinity Impacts on Agriculture and Groundwater in Delta Regions

NASA Astrophysics Data System (ADS)

Clarke, D.; Salehin, M.; Jairuddin, M.; Saleh, A. F. M.; Rahman, M. M.; Parks, K. E.; Haque, M. A.; Lázár, A. N.; Payo, A.

2015-12-01

Delta regions are attractive for high intensity agriculture due to the availability of rich sedimentary soils and of fresh water. Many of the world's tropical deltas support high population densities which are reliant on irrigated agriculture. However environmental changes such as sea level rise, tidal inundation and reduced river flows have reduced the quantity and quality of water available for successful agriculture. Additionally, anthropogenic influences such as the over abstraction of ground water and the increased use of low quality water from river inlets has resulted in the accumulation of salts in the soils which diminishes crop productivity. Communities based in these regions are usually reliant on the same water for drinking and cooking because surface water is frequently contaminated by commercial and urban pollution. The expansion of shallow tube well systems for drinking water and agricultural use over the last few decades has resulted in mobilisation of salinity in the coastal and estuarine fringes. Sustainable development in delta regions is becoming constrained by water salinity. However salinity is often studied as an independent issue by specialists working in the fields of agriculture, community water supply and groundwater. The lack of interaction between these disciplines often results in corrective actions being applied to one sector without fully assessing the effects of these actions on other sectors. This paper describes a framework for indentifying the causes and impacts of salinity in delta regions based on the source-pathway-receptor framework. It uses examples and scenarios from the Ganges-Brahmaputra-Meghna delta in Bangladesh together with field measurements and observations made in vulnerable coastal communities. The paper demonstrates the importance of creating an holistic understanding of the development and management of water resources to reduce the impact of salinity in fresh water in delta regions.

Reducing greenhouse gas emissions in agriculture without compromising food security?

NASA Astrophysics Data System (ADS)

Frank, Stefan; Havlík, Petr; Soussana, Jean-Francois; Levesque, Antoine; Valin, Hugo; Wollenberg, Eva; Kleinwechter, Ulrich; Fricko, Oliver; Gusti, Mykola; Herrero, Mario; Smith, Pete; Hasegawa, Tomoko; Kraxner, Florian; Obersteiner, Michael

2017-04-01

To keep global warming possibly below 1.5 C and mitigate adverse effects of climate change, agriculture, like all other sectors, will have to contribute to efforts in achieving net negative emissions by the end of the century. Cost-efficient distribution of mitigation across regions and sectors is typically calculated using a global uniform carbon price in climate stabilization scenarios. However, in reality such a carbon price could substantially affect other Sustainable Development Goals. Here, we assess the implications of climate change mitigation in agriculture for agricultural production and food security using an integrated modelling framework and explore ways of relaxing the competition between climate change mitigation and food availability. Using a scenario that limits global warming to 1.5 C, results indicate a food calorie loss in 2050 of up to 330 kcal per capita in food insecure countries. If only developed countries participated in the mitigation effort, the calorie loss would be 40 kcal per capita, however the climate target would not be achieved. Land-rich countries with a high proportion of emissions from land use change, such as Brazil, could reduce emissions with only a marginal effect on food availability. In contrast, agricultural mitigation in high population (density) countries, such as China and India, would lead to substantial food calorie loss without a major contribution to global GHG mitigation. Increasing soil carbon sequestration on agricultural land using a comprehensive set of management options, would allow achieving a 1.5 C target while reducing the implied calorie loss by up to 70% and storing up to 3.5 GtCO2 in soils. Hence, the promotion of so called "win-win" mitigation options i.e. soil carbon sequestration, and ensuring successful mitigation of land use change emissions are crucial to stabilize the climate without deteriorating food security.

Draft Global Anthropogenic Non-CO2 Greenhouse Gas Emissions: 1990-2030

EPA Pesticide Factsheets

View draft report and appendices providing historical and projected estimates of global non-CO2 GHG emissions for 1990 to 2030 from sources in the energy, industrial processes, waste, and agriculture sectors.

Exploring factors influencing farmers' willingness to pay (WTP) for a planned adaptation programme to address climatic issues in agricultural sectors.

PubMed

Ahmed, Adeel; Masud, Muhammad Mehedi; Al-Amin, Abul Quasem; Yahaya, Siti Rohani Binti; Rahman, Mahfuzur; Akhtar, Rulia

2015-06-01

This study empirically estimates farmers' willingness to pay (WTP) for a planned adaptation programme for addressing climate issues in Pakistan's agricultural sectors. The contingent valuation method (CVM) was employed to determine a monetary valuation of farmers' preferences for a planned adaptation programme by ascertaining the value attached to address climatic issues. The survey was conducted by distributing structured questionnaires among Pakistani farmers. The study found that 67 % of respondents were willing to pay for a planned adaptation programme. However, several socioeconomic and motivational factors exert greater influence on their willingness to pay (WTP). This paper specifies the steps needed for all institutional bodies to better address issues in climate change. The outcomes of this paper will support attempts by policy makers to design an efficient adaptation framework for mitigating and adapting to the adverse impacts of climate change.

Agriculture, nutrition, and health in global development: typology and metrics for integrated interventions and research.

PubMed

Masters, William A; Webb, Patrick; Griffiths, Jeffrey K; Deckelbaum, Richard J

2014-12-01

Despite rhetoric arguing that enhanced agriculture leads to improved nutrition and health, there is scant empirical evidence about potential synergies across sectors or about the mix of actions that best supports all three sectors. The geographic scale and socioeconomic nature of these interventions require integration of previously separate research methods. This paper proposes a typology of interventions and a metric of integration among them to help researchers build on each other's results, facilitating integration in methods to inform the design of multisector interventions. The typology recognizes the importance of regional effect modifiers that are not themselves subject to randomized assignment, and trade-offs in how policies and programs are implemented, evaluated, and scaled. Using this typology could facilitate methodological pluralism, helping researchers in one field use knowledge generated elsewhere, each using the most appropriate method for their situation. © 2014 New York Academy of Sciences.

[Health effects of occupational endotoxin exposure: a review and relevance to veterinary practice].

PubMed

Smit, Lidwien A M; Wouters, Inge M; Heederik, Dick; Douwes, Jeroen

2009-10-15

Endotoxins are cell-wall components of Gram-negative bacteria that are commonly present in plants and plant products and in faecal matter. This review presents an overview of endotoxin exposure levels, associated health effects, and relevance regarding veterinary practice. Exposure to airborne endotoxin is especially high in the agricultural sector and among veterinarians, and in particular among those working with horses or farm animals. Inhalation of endotoxins may cause acute airway inflammation and respiratory symptoms that can lead to (non-allergic) asthma and chronic obstructive pulmonary disease in individuals with prolonged exposure to high levels of endotoxins. Interestingly, recent studies have shown that individuals exposed to high levels of endotoxin also have a lower risk of allergic conditions such as hay fever. Although endotoxin may protect against allergies, it is essential to reduce exposure levels in the agricultural sector in order to prevent workers from developing chronic non-allergic respiratory disorders.

Source apportionment of fine particulate matter in China in 2013 using a source-oriented chemical transport model.

PubMed

Shi, Zhihao; Li, Jingyi; Huang, Lin; Wang, Peng; Wu, Li; Ying, Qi; Zhang, Hongliang; Lu, Li; Liu, Xuejun; Liao, Hong; Hu, Jianlin

2017-12-01

China has been suffering high levels of fine particulate matter (PM 2.5 ). Designing effective PM 2.5 control strategies requires information about the contributions of different sources. In this study, a source-oriented Community Multiscale Air Quality (CMAQ) model was applied to quantitatively estimate the contributions of different source sectors to PM 2.5 in China. Emissions of primary PM 2.5 and gas pollutants of SO 2 , NO x , and NH 3 , which are precursors of particulate sulfate, nitrate, and ammonium (SNA, major PM 2.5 components in China), from eight source categories (power plants, residential sources, industries, transportation, open burning, sea salt, windblown dust and agriculture) were separately tracked to determine their contributions to PM 2.5 in 2013. Industrial sector is the largest source of SNA in Beijing, Xi'an and Chongqing, followed by agriculture and power plants. Residential emissions are also important sources of SNA, especially in winter when severe pollution events often occur. Nationally, the contributions of different source sectors to annual total PM 2.5 from high to low are industries, residential sources, agriculture, power plants, transportation, windblown dust, open burning and sea salt. Provincially, residential sources and industries are the major anthropogenic sources of primary PM 2.5 , while industries, agriculture, power plants and transportation are important for SNA in most provinces. For total PM 2.5 , residential and industrial emissions are the top two sources, with a combined contribution of 40-50% in most provinces. The contributions of power plants and agriculture to total PM 2.5 are about 10%, respectively. Secondary organic aerosol accounts for about 10% of annual PM 2.5 in most provinces, with higher contributions in southern provinces such as Yunnan (26%), Hainan (25%) and Taiwan (21%). Windblown dust is an important source in western provinces such as Xizang (55% of total PM 2.5 ), Qinghai (74%), Xinjiang (59%). The large variation in sources of PM 2.5 across China suggests that PM 2.5 mitigation programs should be designed separately for different regions/provinces. Copyright © 2017 Elsevier B.V. All rights reserved.

Optimization of agricultural field workability predictions for improved risk management

USDA-ARS?s Scientific Manuscript database

Risks introduced by weather variability are key considerations in agricultural production. The sensitivity of agriculture to weather variability is of special concern in the face of climate change. In particular, the availability of workable days is an important consideration in agricultural practic...

More Water Resources but Less for Irrigation: Adaptation Strategy of the Yellow River in a Changing Environment

NASA Astrophysics Data System (ADS)

Tang, Q.; Yin, Y. Y.

2015-12-01

The Yellow River is the primary source of freshwater to the northern China. Increasing population and socio-economic development have put great pressure on water resources of the river basin. The anticipated climate and socio-economic changes may further increase water stress. Development of adaptation strategies would have significant implications for water and food security of this region. In this study, the outputs of multiple hydrological models forced with the bias-corrected climatic variables from multiple global climate models were used to assess the change in renewable water resources of the river basin in the 21st century. The outputs of multiple crop models were used to assess the change in agricultural water demand. The domestic and industrial water demands were estimated based on the future socio-economic conditions under the Shared Socio-economic Pathways (SSPs). Besides basic ecosystem needs for water which must be met, the water use in domestic and industrial sectors is considered to have a higher priority than the agricultural water use when water is insufficient. The results show that the renewable water resources of the basin would increase as global mean temperature increases while the water demand would grow much more rapidly, largely due to water demand increase in domestic and industrial sectors. In most of the sub-basins of the Yellow River basin, the available water resources can not sustain all the water use sectors starting from the next a few decades. As more water resources would be appropriated by domestic and industrial sectors, a part of irrigated area had to be converted to rainfed agriculture which led to a large reduction in food production. This study highlights the linked water and food security in a changing environment and suggests that the trade-off should be considered when developing regional adaptation strategies.

LONG-TERM GLOBAL WATER USE PROJECTIONS USING SIX SOCIOECONOMIC SCENARIOS IN AN INTEGRATED ASSESSMENT MODELING FRAMEWORK

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hejazi, Mohamad I.; Edmonds, James A.; Clarke, Leon E.

2014-01-19

In this paper, we assess future water demands for the agricultural (irrigation and livestock), energy (electricity generation, primary energy production and processing), industrial (manufacturing and mining), and municipal sectors, by incorporating water demands into a technologically-detailed global integrated assessment model of energy, agriculture, and climate change – the Global Change Assessment Model (GCAM). Base-year water demands—both gross withdrawals and net consumptive use—are assigned to specific modeled activities in a way that maximizes consistency between bottom-up estimates of water demand intensities of specific technologies and practices, and top-down regional and sectoral estimates of water use. The energy, industrial, and municipal sectorsmore » are represented in fourteen geopolitical regions, with the agricultural sector further disaggregated into as many as eighteen agro-ecological zones (AEZs) within each region. We assess future water demands representing six socioeconomic scenarios, with no constraints imposed by future water supplies. The scenarios observe increases in global water withdrawals from 3,578 km3 year-1 in 2005 to 5,987 – 8,374 km3 year-1 in 2050, and to 4,719 – 12,290 km3 year-1 in 2095. Comparing the projected total regional water withdrawals to the historical supply of renewable freshwater, the Middle East exhibits the highest levels of water scarcity throughout the century, followed by India; water scarcity increases over time in both of these regions. In contrast, water scarcity improves in some regions with large base-year electric sector withdrawals, such as the USA and Canada, due to capital stock turnover and the almost complete phase-out of once-through flow cooling systems. The scenarios indicate that: 1) water is likely a limiting factor in climate change mitigation policies, 2) many regions can be expected to increase reliance on non-renewable groundwater, water reuse, and desalinated water, but they also highlight an important role for development and deployment of water conservation technologies and practices.« less

Economic Influences on Re-Enlistment. The Draft Era.

DTIC Science & Technology

1982-10-01

for each individual in jobs covered by Social Security (over 90 percent of all private - sector jobs, plus military service and half of non-federal...disappeared as real military wages have increased significantly over cyclical swings in the private sector . Despite the Navy’s apparent success in...maintaining optimal retention rates in selective ratings is due to the wage pressures exerted in the private sector . Military wage increases must be

Change in the quantity and acute toxicity of pesticides sold in South African crop sectors, 1994 –1999

PubMed Central

Africa, Algernon; London, Leslie

2009-01-01

BACKGROUND South African pesticide market sales data, for two years, 1994 and 1999, were audited to identify change in total and per hectare mass sold and acute toxicity indicator (ATI) (kg sold/rat oral LD50) in the grape, pome, stone fruit, potato and wheat sectors. RESULTS Total pesticide sales (62%), amount per hectare (42%) and number of active ingredients (23%) increased in 1999 compared to 1994 with the grape fruit sector, the most significant contributor over the two years. Total (14%) and per hectare ATI (19%) decreased in 1999, but not substantially with the potato sector the most significant contributor. CONCLUSIONS Toxic pesticides were still used in 1999 which highlights a need to develop alternative agricultural and non-chemical pest control methods that reduce usage of pesticides. PMID:19185919

Oil shocks in New Keynesian models: Positive and normative implications

NASA Astrophysics Data System (ADS)

Chang, Jian

Chapter 1 investigates optimal monetary policy response towards oil shocks in a New Keynesian model. We find that optimal policy, in general, becomes contractionary in response to an adverse oil shock. However, the optimal policy rule and the inflation-output trade-off depend on the specific structure of the model. The benchmark economy consists of a flexible-price energy sector and a sticky-price manufacturing sector where energy is used as an intermediate input. We show that optimal policy is to stabilize the sticky (core) price level. We then show that after incorporating a less oil-dependent sticky-price service sector, the model exhibits a trade-off in stabilizing prices and output gaps in the different sticky-price sectors. It predicts that central bank should not try to stabilize the core price level, and the economy will experience higher inflation and rising output gaps, even if central banks respond optimally. Chapter 2 addresses the observed volatility and persistence of real exchange rates and the terms of trade. It contributes to the literature with a quantitative study on the U.S. and Canada. A two-country New Keynesian model consisting of traded, non-traded, and oil production sectors is proposed to examine the time series properties of the real exchange rate, the terms of trade and the real oil price. We find that after incorporating several realistic features (namely oil price shocks, sector specific labor, non-traded goods, asymmetric pricing decisions of exporters and asymmetric consumer preferences over tradables), the benchmark model broadly matches the volatilities of the relative prices and some business cycle correlations. The model matches the data more closely after adding real demand shocks, suggesting their importance in explaining the relative price movements between the US and Canada. Chapter 3 explores several sources and transmission channels of international relative price movements. In particular, we elaborate on the role of imperfect labor mobility, pricing decisions of exporting firms, oil price shocks and asymmetric consumer preferences over tradables. Our results suggest that: Incorporating both producer currency pricing and local currency pricing assumptions produces more reasonable relative price movements. A model with imperfect labor mobility generates larger relative price volatility. Oil price shocks only contribute to terms of trade variability when oil is modeled as part of the traded basket. And asymmetric consumer preferences contribute to the volatility of the real exchange rate.

Green biotechnology and European competitiveness.

PubMed

Enriquez, J

2001-04-01

Europe has led many aspects of gene research and yet it has been unable to translate these discoveries into a globally dominant industrial sector. There are valid societal, political and financial reasons for its reluctance to deploy agricultural biotechnology but this reluctance might have unintended consequences. It will be hard to de-commoditize agriculture and improve farmer's lives. Research in medical biotechnology and the global environment might suffer. Europe could damage its overall economy and its global competitive standing.

Special Inspector General for Iraq Reconstruction Quarterly Report to the United States Congress

DTIC Science & Technology

2012-04-30

Ministry of Provincial Aff airs sponsored a two-day decentralization conference for all non-KRG Provincial Councils and gover - nors to clarify...agriculture, tourism , health, education, housing and light construction, water resources, electricity, oil and gas, and transporta- tion. Th e assessment...2008−2011 Sector Number of Licenses Value of Licenses $ Millions Housing 155 16,250 Industry 136 6,392 Tourism 192 4,416 Trade 146 1,596 Agriculture 62

Homeland Security Within State Departments of Agriculture: Success Factors and Barriers to an Effective Security Program

DTIC Science & Technology

2010-09-01

13. ABSTRACT (maximum 200 words ) The food and agriculture sector in the United States is vulnerable to attack. One solution is to ensure that...Bureau of Investigation FEMA Federal Emergency Management Agency FMD Foot and Mouth Disease GAO General Accounting Office (changed name to...will need to respond to an FMD [foot and mouth disease] outbreak” (GAO, 2002b, p. 5). In many cases, veterinarians serve as 9 first-line

Hydroclimate Forecasts in Ethiopia: Benefits, Impediments, and Ways Forward

NASA Astrophysics Data System (ADS)

Block, P. J.

2014-12-01

Numerous hydroclimate forecast models, tools, and guidance exist for application across Ethiopia and East Africa in the agricultural, water, energy, disasters, and economic sectors. This has resulted from concerted local and international interdisciplinary efforts, yet little evidence exists of rapid forecast uptake and use. We will review projected benefits and gains of seasonal forecast application, impediments, and options for the way forward. Specific case studies regarding floods, agricultural-economic links, and hydropower will be reviewed.

The value of seasonal forecasting and crop mix adaptation to climate variability for agriculture under climate change

NASA Astrophysics Data System (ADS)

Choi, H. S.; Schneider, U.; Schmid, E.; Held, H.

2012-04-01

Changes to climate variability and frequency of extreme weather events are expected to impose damages to the agricultural sector. Seasonal forecasting and long range prediction skills have received attention as an option to adapt to climate change because seasonal climate and yield predictions could improve farmers' management decisions. The value of seasonal forecasting skill is assessed with a crop mix adaptation option in Spain where drought conditions are prevalent. Yield impacts of climate are simulated for six crops (wheat, barely, cotton, potato, corn and rice) with the EPIC (Environmental Policy Integrated Climate) model. Daily weather data over the period 1961 to 1990 are used and are generated by the regional climate model REMO as reference period for climate projection. Climate information and its consequent yield variability information are given to the stochastic agricultural sector model to calculate the value of climate information in the agricultural market. Expected consumers' market surplus and producers' revenue is compared with and without employing climate forecast information. We find that seasonal forecasting benefits not only consumers but also producers if the latter adopt a strategic crop mix. This mix differs from historical crop mixes by having higher shares of crops which fare relatively well under climate change. The corresponding value of information is highly sensitive to farmers' crop mix choices.

The economic bases of demographic reproduction: from the domestic mode of production to wage-earning.

PubMed

Meillassoux, C

1983-10-01

This paper explores the economic basis of demographic reproduction through an analysis of the shift from self-sustaining agricultural production to wage earning in the industrial sector. In subsistence societies, the upper limits of demographic reproduction are set more by agricultural capacities than by women's natural fecundity. An increase in the productivity of agriculture is a necessary precondition for demographic growth. Such societies are based on intergenerational circulation of surplus product, i.e., the community contains preproductive members who are fed and bred until they reach a productive age, producers whose surplus product exceeds their individual consumption, and postproducers who depend on the younger generation for their subsistence. The domestic mode of collective labor becomes weakened, however, when producer members become wage earners as a result of temporary or permanent rural exodus. Under such conditions, the investment of the older generation in the next may be lost to the benefit of the industrial sector employing the rural migrants. The shift has 2 major implications. 1st, population growth is no longer tied to domestic agricultural productivity or the storage capcity of the community; rather, it is related to access to cash, wage levels, employment duration, and food prices. These circumstances foster a higher probability of demographic growth. 2nd, disruption of the circulation of subsistence produces depopulation of the rural areas and severe deterioration of the living conditions in these areas.

Communicating Climate Change in the Agricultural Sector: Insights from Surveys and Interviews with Agricultural Advisors in the Midwestern United States

NASA Astrophysics Data System (ADS)

Prokopy, L. S.; Carlton, S.; Dunn, M.

2014-12-01

Understanding U.S. agricultural stakeholder views about the existence of climate change and what influences these views is central to developing communication in support of adaptation and mitigation. It has been postulated in the literature that extreme weather events can shape people's climate change beliefs and adaptation attitudes. In this presentation, we use data from pre- and post-extreme event surveys and interviews to examine the effects of the 2012 Midwestern US drought on agricultural advisors' climate change beliefs, adaptation attitudes, and risk perceptions. We found that neither climate change beliefs nor attitudes toward adaptation changed significantly as a result of the drought. Risk perceptions did change, however, with advisors becoming more concerned about risks from drought and pests and less concerned about risks related to flooding and ponding. Qualitative interviews revealed that while advisors readily accept the occurrence of extreme weather as a risk, the irregularity and unpredictability of extreme events for specific localities limits day-to-day consideration in respect to prescribed management advice. Instead, advisors' attention is directed towards planning for short-term changes encompassing weather, pests, and the market, as well as planning for long-term trends related to water availability. These findings provide important insights for communicating climate change in this critical sector while illustrating the importance of social science research in planning and executing communication campaigns.

The potential for land sparing to offset greenhouse gas emissions from agriculture

NASA Astrophysics Data System (ADS)

Lamb, Anthony; Green, Rhys; Bateman, Ian; Broadmeadow, Mark; Bruce, Toby; Burney, Jennifer; Carey, Pete; Chadwick, David; Crane, Ellie; Field, Rob; Goulding, Keith; Griffiths, Howard; Hastings, Astley; Kasoar, Tim; Kindred, Daniel; Phalan, Ben; Pickett, John; Smith, Pete; Wall, Eileen; Zu Ermgassen, Erasmus K. H. J.; Balmford, Andrew

2016-05-01

Greenhouse gas emissions from global agriculture are increasing at around 1% per annum, yet substantial cuts in emissions are needed across all sectors. The challenge of reducing agricultural emissions is particularly acute, because the reductions achievable by changing farming practices are limited and are hampered by rapidly rising food demand. Here we assess the technical mitigation potential offered by land sparing--increasing agricultural yields, reducing farmland area and actively restoring natural habitats on the land spared. Restored habitats can sequester carbon and can offset emissions from agriculture. Using the UK as an example, we estimate net emissions in 2050 under a range of future agricultural scenarios. We find that a land-sparing strategy has the technical potential to achieve significant reductions in net emissions from agriculture and land-use change. Coupling land sparing with demand-side strategies to reduce meat consumption and food waste can further increase the technical mitigation potential--however, economic and implementation considerations might limit the degree to which this technical potential could be realized in practice.

Importance of intersectoral co-ordination in the control of communicable diseases, with special reference to plague in Tanzania.

PubMed

Kilonzo, B S

1994-07-01

Human health, agriculture, including livestock, energy, education, wildlife, construction, forestry and trade sectors are inter-related and their co-ordination is an important pre-requisite for successful control of most communicable diseases including plague. Similar linkage between research, policy, training and extension activities in each sector are essential for any successful control strategy. Inadequate agricultural produce, inaccessibility of people to the available food and ignorance on proper preparation and usage of available food materials are responsible for malnutrition, and malnourished people are very vulnerable to disease. Irrigation schemes facilitate breeding of various disease vectors and transmission of some communicable diseases. Forests are ecologically favourable for some disease vectors and reservoirs for tsetse flies and rodents, while deforestation leads to soil erosion, lack of rainfall and consequently reduced productivity in agriculture which may result in poor nutrition of the population. Wildlife and livestock serve as reservoirs and/or carriers of various zoonoses including plague, trypanosomiasis and rabies. Lack of proper co-ordination of these sectors in communicable disease control programmes can result in serious and undesirable consequences. Indiscriminate killing of rodents in order to minimize food damage by these vermin forces their flea ectoparasites to seek alternative hosts, including man, a development which may result in transmission of plague from rodents to man. Similarly, avoidance of proper quarantine during plague epidemics, an undertaking which is usually aimed at maintaining economic and social links with places outside the affected focus, can result in the disease becoming widespread and consequently make any control strategies more difficult and expensive.(ABSTRACT TRUNCATED AT 250 WORDS)

Simulating the Impacts of Climate Extremes Across Sectors: The Case of the 2003 European Heat Wave

NASA Astrophysics Data System (ADS)

Schewe, J.; Zhao, F.; Reyer, C.; Breuer, L.; Coll, M.; Deryng, D.; Eddy, T.; Elliott, J. W.; Francois, L. M.; Friend, A. D.; Gerten, D.; Gosling, S.; Gudmundsson, L.; Huber, V.; Kim, H.; Lotze, H. K.; Orth, R.; Seneviratne, S. I.; Tittensor, D.; Vautard, R.; van Vliet, M. T. H.; Wada, Y.

2017-12-01

Increased occurrence of extreme climate or weather events is one of the most damaging consequences of global climate change today and in the future. Estimating the impacts of such extreme events across different human and natural systems is crucial for quantifying overall risks from climate change. Are current models fit for this task? Here we use the 2003 European heat wave and drought (EHW) as a historical analogue for comparable events in the future, and evaluate how accurately its impacts are reproduced by a multi-sectoral "super-ensemble" of state-of-the-art impacts models. Our study combines, for the first time, impacts on agriculture, freshwater resources, terrestrial and marine ecosystems, energy, and human health in a consistent multi-model framework. We identify key impacts of the 2003 EHW reported in the literature and/or recorded in publicly available databases, and examine how closely the models reproduce those impacts, applying the same measure of impact magnitude across different sectors. Preliminary results are mixed: While the EHW's impacts on water resources (streamflow) are reproduced well by most global hydrological models, not all crop and natural vegetation models reproduce the magnitude of impacts on agriculture and ecosystem productivity, respectively, and their performance varies by country or region. A hydropower capacity model matches reported hydropower generation anomalies only in some countries, and estimates of heat-related excess mortality from a set of statistical models are consistent with literature reports only for some of the cities investigated. We present a synthesis of simulated and observed impacts across sectors, and reflect on potential improvements in modeling and analyzing cross-sectoral impacts.

Does more education always lead to better health? Evidence from rural malaysia.

PubMed

Leeves, Gareth; Soyiri, Ireneous

2015-01-01

Background. Education is usually associated with improvement in health; there is evidence that this may not be the case if education is not fully utilised at work. This study examines the relationship between education level, occupation, and health outcomes of individuals in rural Malaysia. Results. The study finds that the incidence of chronic diseases and high blood pressure are higher for tertiary educated individuals in agriculture and construction occupations. This brings these individuals into more frequent contact with the health system. These occupations are marked with generally lower levels of education and contain fewer individuals with higher levels of education. Conclusions. Education is not always associated with better health outcomes. In certain occupations, greater education seems related to increased chronic disease and contact with the health system, which is the case for workers in agriculture in rural Malaysia. Agriculture is the largest sector of employment in rural Malaysia but with relatively few educated individuals. For the maintenance and sustainability of productivity in this key rural industry, health monitoring and job enrichment policies should be encouraged by government agencies to be part of the agenda for employers in these sectors.

Economic and environmental impacts of the corn grain ethanol industry on the United States agricultural sector

DOE Office of Scientific and Technical Information (OSTI.GOV)

Larson, J.A.; English, B.C.; De La Torre Ugarte, D. G.

2010-09-10

This study evaluated the impacts of increased ethanol production from corn starch on agricultural land use and the environment in the United States. The Policy Analysis System simulation model was used to simulate alternative ethanol production scenarios for 2007 through 2016. Results indicate that increased corn ethanol production had a positive effect on net farm income and economic wellbeing of the US agricultural sector. In addition, government payments to farmers were reduced because of higher commodity prices and enhanced net farm income. Results also indicate that if Conservation Reserve Program land was converted to crop production in response to highermore » demand for ethanol in the simulation, individual farmers planted more land in crops, including corn. With a larger total US land area in crops due to individual farmer cropping choices, total US crop output rose, which decreased crop prices and aggregate net farm income relative to the scenario where increased ethanol production happened without Conservation Reserve Program land. Substantial shifts in land use occurred with corn area expanding throughout the United States, especially in the traditional corn-growing area of the midcontinent region.« less

Does More Education Always Lead to Better Health? Evidence from Rural Malaysia

PubMed Central

2015-01-01

Background. Education is usually associated with improvement in health; there is evidence that this may not be the case if education is not fully utilised at work. This study examines the relationship between education level, occupation, and health outcomes of individuals in rural Malaysia. Results. The study finds that the incidence of chronic diseases and high blood pressure are higher for tertiary educated individuals in agriculture and construction occupations. This brings these individuals into more frequent contact with the health system. These occupations are marked with generally lower levels of education and contain fewer individuals with higher levels of education. Conclusions. Education is not always associated with better health outcomes. In certain occupations, greater education seems related to increased chronic disease and contact with the health system, which is the case for workers in agriculture in rural Malaysia. Agriculture is the largest sector of employment in rural Malaysia but with relatively few educated individuals. For the maintenance and sustainability of productivity in this key rural industry, health monitoring and job enrichment policies should be encouraged by government agencies to be part of the agenda for employers in these sectors. PMID:25685796

Emission reduction by multipurpose buffer strips on arable fields.

PubMed

Sloots, K; van der Vlies, A W

2007-01-01

In the area managed by Hollandse Delta, agriculture is under great pressure and the social awareness of the agricultural sector is increasing steadily. In recent years, a stand-still has been observed in water quality, in terms of agrochemicals, and concentrations even exceed the standard. To improve the waterquality a multi-purpose Field Margin Regulation was drafted for the Hoeksche Waard island in 2005. The regulation prescribes a crop-free strip, 3.5 m wide, alongside wet drainage ditches. The strip must be sown with mixtures of grasses, flowers or herbs. No crop protection chemicals or fertilizer may be used on the strips. A total length of approximately 200 km of buffer strip has now been laid. Besides reducing emissions, the buffer strips also stimulate natural pest control methods and encourage local tourism. Finally, the strips should lead to an improvement in the farmers' image. The regulation has proved to be successful. The buffer strips boosted both local tourism and the image of the agricultural sector. Above all, the strips provided a natural shield for emission to surface water, which will lead to an improvement of the water quality and raise the farmers' awareness of water quality and the environment.

An intellectual property sharing initiative in agricultural biotechnology: development of broadly accessible technologies for plant transformation.

PubMed

Chi-Ham, Cecilia L; Boettiger, Sara; Figueroa-Balderas, Rosa; Bird, Sara; Geoola, Josef N; Zamora, Pablo; Alandete-Saez, Monica; Bennett, Alan B

2012-06-01

The Public Intellectual Property Resource for Agriculture (PIPRA) was founded in 2004 by the Rockefeller Foundation in response to concerns that public investments in agricultural biotechnology benefiting developing countries were facing delays, high transaction costs and lack of access to important technologies due to intellectual property right (IPR) issues. From its inception, PIPRA has worked broadly to support a wide range of research in the public sector, in specialty and minor acreage crops as well as crops important to food security in developing countries. In this paper, we review PIPRA's work, discussing the failures, successes, and lessons learned during its years of operation. To address public sector's limited freedom-to-operate, or legal access to third-party rights, in the area of plant transformation, we describe PIPRA's patent 'pool' approach to develop open-access technologies for plant transformation which consolidate patent and tangible property rights in marker-free vector systems. The plant transformation system has been licensed and deployed for both commercial and humanitarian applications in the United States (US) and Africa, respectively. © 2012 The Authors. Plant Biotechnology Journal © 2012 Society for Experimental Biology, Association of Applied Biologists and Blackwell Publishing Ltd.

Seasonal forecasts for the agricultural sector in Peru through user-tailored indices

NASA Astrophysics Data System (ADS)

Sedlmeier, Katrin; Gubler, Stefanie; Spierig, Christoph; Quevedo, Karim; Escajadillo, Yury; Avalos, Griña; Liniger, Mark A.; Schwierz, Cornelia

2017-04-01

In the agricultural sector, the demand for seasonal forecast information is high since agriculture depends strongly on climatic conditions during the growing season. Unfavorable weather and climate events, such as droughts or frost events, can lead to crop losses and thereby to large economic damages or life-threatening conditions in case of subsistence farming. The generally used presentation form of tercile probabilities of seasonally averaged meteorological quantities are not specific enough for end users. More user-tailored seasonal information is necessary. For example, warmer than average temperatures might be favorable for a crop as long as they remain below a plant-specific critical threshold. If, on the other hand, too many days show temperatures above this critical threshold, a mitigation action such as e.g. changing the crop type would be required. In the framework of the CLIMANDES project (a pilot project of the Global Framework for Climate Services led by WMO [http://www.wmo.int/gfcs/climandes]), user-tailored seasonal forecast products are developed for the agricultural sector in the Peruvian Andes. Such products include indices such as e.g. the frost risk, the occurrence of long dry periods, or the start of the rainy season which is crucial to schedule sowing. Furthermore, more specific indices derived from crop requirement studies are elaborated such as the number of days exceeding or falling below plant specific temperature thresholds for given phenological stages. The applicability of these products highly depends on forecast skill. In this study, the potential predictability and the skill of selected indicators are presented using seasonal hindcast data of the ECMWF system 4 for Peru during the time period 1981-2010. Furthermore, the influence of ENSO on the prediction skill is investigated. In this study, reanalysis data, ground measurements, and a gridded precipitation dataset are used for verification. The results indicate that temperature-based indicators show sizeable skill in the Peruvian highlands while precipitation-based forecasts are much more challenging.

An interactive environmental model for economic growth: evidence from a panel of countries.

PubMed

Ramakrishnan, Suresh; Hishan, Sanil S; Nabi, Agha Amad; Arshad, Zeeshan; Kanjanapathy, Malini; Zaman, Khalid; Khan, Faisal

2016-07-01

This study aims to determine an interactive environmental model for economic growth that would be supported by the "sustainability principles" across the globe. The study examines the relationship between environmental pollutants (i.e., carbon dioxide emission, sulfur dioxide emission, mono-nitrogen oxide, and nitrous oxide emission); population growth; energy use; trade openness; per capita food production; and it's resulting impact on the real per capita GDP and sectoral growth (i.e., share of agriculture, industry, and services in GDP) in a panel of 34 high-income OECD, high-income non-OECD, and Europe and Central Asian countries, for the period of 1995-2014. The results of the panel fixed effect regression show that per capita GDP are influenced by sulfur dioxide emission, population growth, and per capita food production variability, while energy and trade openness significantly increases per capita income of the region. The results of the panel Seemingly Unrelated Regression (SUR) show that carbon dioxide emission significantly decreases the share of agriculture and industry in GDP, while it further supports the share of services sector to GDP. Both the sulfur dioxide and mono-nitrogen oxide emission decreases the share of services in GDP; nitrous oxide decreases the share of industry in GDP; while mono-nitrogen oxide supports the industrial activities. The following key growth-specific results has been obtained from the panel SUR estimation, i.e., (i) Both the food production per capita and trade openness significantly associated with the increasing share of agriculture, (ii) food production and energy use significantly increases the service sectors' productivity; (iii) food production decreases the industrial activities; (iv) trade openness decreases the share of services to GDP while it supports the industrial share to GDP; and finally, (v) energy demand decreases along with the increase agricultural share in the region. The results emphasize the need for an interactive environmental model that facilitates the process of sustainable development across the globe.

78 FR 58267 - Notice of October 15 Board for International Food and Agricultural Development (BIFAD) Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2013-09-23

... Open Data; and Exploration of Capacity Development Opportunities with the Private Sector and Massive Open Online Courses (MOOCs). Time will be allowed for public comment. These panels will be followed by...

REMOTE SENSING FOR BIOENGINEERED CROPS

EPA Science Inventory

Increasing interest in the responsible management of technology in the industrial and agricultural sectors of the economy has been met through the development of broadly applicable tools to assess the "sustainability" of new technologies. An arena ripe for application of such ana...

Potassic zeolites from Brazilian coal ash for use as a fertilizer in agriculture.

PubMed

Flores, Camila Gomes; Schneider, Helena; Marcilio, Nilson Romeu; Ferret, Lizete; Oliveira, João Carlos Pinto

2017-12-01

Brazilian coal has an ash content ranging from 30 to 50% by weight. Consequently, its use in coal-fired thermoelectric for power production generates a lot of waste. The construction sector is the largest consumer of coal ash, but it cannot absorb the entire amount generated. Thus, other applications for coal ash should be studied in aim to optimize the use of this industrial waste. This research had as focus to synthesize potassic zeolite from of the coal ash into on potassium fertilizer for the grown wheat plant. In this work, it was used a subbituminous coal from Mina do Leão (RS, Brazil) presenting 48.7% ash content on a dry basis. Concerning the synthesis of potassic zeolite, it was adopted the conventional method of hydrothermal treatment with potassium hydroxide. A schedule of experiments was conducted in order to define the optimum condition of zeolite synthesis that was then used an alkaline solution of 5M KOH with a reaction time of 24h at 150°C. According to this procedure, it was obtained a zeolite with a single crystalline phase, identified through X-ray diffraction as Merlinoite. Subsequently, it was performed a set of tests using potassic zeolite asa fertilizer for plants in a greenhouse. The synthesized potassic zeolite showed a good potential for its use as fertilizer in agriculture. Copyright © 2017 Elsevier Ltd. All rights reserved.

Attributing the Human Influence on Precipitation Changes over India

NASA Astrophysics Data System (ADS)

R, D.; Achutarao, K. M.; Thanigachalam, A.

2017-12-01

Variations in rainfall over India -much of which is received during the summer monsoon season (June-September) - influences the economy of the country as nearly 50% of the population is engaged in the agricultural sector which constitutes 17.4% of the GDP of India. The agriculture and economy of India is highly vulnerable to any changes in the monsoon rainfall is well recognised. Recent decades have seen decreasing monsoon rainfall in various parts of India. Whether these are a consequence of natural monsoon variations or are caused by specific anthropogenic factors is an important question to answer in formulating the right policy response to these changes. Understanding the physical changes is also a first step towards being able to attribute downstream impacts due to rainfall changes. We have carried out an optimal fingerprint based Detection & Attribution analysis to study the changing rainfall patterns. We make use of outputs from 7 models in the Coupled Model Intercomparison Project Phase-5 (CMIP5) database that carried out single forcing experiments with, Natural, GHG, Anthropogenic Aerosols, and historical (All) forcings. We use multiple observational datasets of rainfall (CRU 3.22 and IMD gridded) to account for observational uncertainty to analyse seasonal (JJA and DJF) and annual mean rainfall over the 1906-2005 period. Our analysis shows the dominant role of GHG and Anthropogenic Aerosol forcings on the observed rainfall changes.

Simulating water markets with transaction costs

NASA Astrophysics Data System (ADS)

Erfani, Tohid; Binions, Olga; Harou, Julien J.

2014-06-01

This paper presents an optimization model to simulate short-term pair-wise spot-market trading of surface water abstraction licenses (water rights). The approach uses a node-arc multicommodity formulation that tracks individual supplier-receiver transactions in a water resource network. This enables accounting for transaction costs between individual buyer-seller pairs and abstractor-specific rules and behaviors using constraints. Trades are driven by economic demand curves that represent each abstractor's time-varying water demand. The purpose of the proposed model is to assess potential hydrologic and economic outcomes of water markets and aid policy makers in designing water market regulations. The model is applied to the Great Ouse River basin in Eastern England. The model assesses the potential weekly water trades and abstractions that could occur in a normal and a dry year. Four sectors (public water supply, energy, agriculture, and industrial) are included in the 94 active licensed water diversions. Each license's unique environmental restrictions are represented and weekly economic water demand curves are estimated. Rules encoded as constraints represent current water management realities and plausible stakeholder-informed water market behaviors. Results show buyers favor sellers who can supply large volumes to minimize transactions. The energy plant cooling and agricultural licenses, often restricted from obtaining water at times when it generates benefits, benefit most from trades. Assumptions and model limitations are discussed. This article was corrected on 13 JUN 2014. See the end of the full text for details.

A Proposal for Public and Private Partnership in Extension.

PubMed

Krell, Rayda K; Fisher, Marc L; Steffey, Kevin L

2016-01-01

Public funding for Extension in the United States has been decreasing for many years, but farmers' need for robust information on which to make management decisions has not diminished. The current Extension funding challenges provide motivation to explore a different model for developing and delivering extension. The private sector has partnered with the public sector to fund and conduct agricultural research, but partnering on extension delivery has occurred far less frequently. The fundamental academic strength and established Extension network of the public sector combined with the ability of the private sector to encourage and deliver practical, implementable solutions has the potential to provide measurable benefits to farmers. This paper describes the current Extension climate, presents data from a survey about Extension and industry relationships, presents case studies of successful public- and private-sector extension partnerships, and proposes a framework for evaluating the state of effective partnerships. Synergistic public-private extension efforts could ensure that farmers receive the most current and balanced information available to help with their management decisions.

A Proposal for Public and Private Partnership in Extension

PubMed Central

Krell, Rayda K.; Fisher, Marc L.; Steffey, Kevin L.

2016-01-01

Public funding for Extension in the United States has been decreasing for many years, but farmers’ need for robust information on which to make management decisions has not diminished. The current Extension funding challenges provide motivation to explore a different model for developing and delivering extension. The private sector has partnered with the public sector to fund and conduct agricultural research, but partnering on extension delivery has occurred far less frequently. The fundamental academic strength and established Extension network of the public sector combined with the ability of the private sector to encourage and deliver practical, implementable solutions has the potential to provide measurable benefits to farmers. This paper describes the current Extension climate, presents data from a survey about Extension and industry relationships, presents case studies of successful public- and private-sector extension partnerships, and proposes a framework for evaluating the state of effective partnerships. Synergistic public–private extension efforts could ensure that farmers receive the most current and balanced information available to help with their management decisions. PMID:26949567

Occupational and Environmental Health Risks Associated with Informal Sector Activities-Selected Case Studies from West Africa.

PubMed

Basu, Niladri; Ayelo, Paul Ahoumènou; Djogbénou, Luc S; Kedoté, Marius; Lawin, Herve; Tohon, Honesty; Oloruntoba, Elizabeth O; Adebisi, Nurudeen A; Cazabon, Danielle; Fobil, Julius; Robins, Thomas; Fayomi, Benjamin

2016-08-01

Most in the Economic Community of West African States region are employed in the informal sector. While the informal sector plays a significant role in the region's economy, policymakers and the scientific community have long neglected it. To better understand informal-sector work conditions, the goal here is to bring together researchers to exchange findings and catalyze dialogue. The article showcases research studies on several economic systems, namely agriculture, resource extraction, transportation, and trade/commerce. Site-specific cases are provided concerning occupational health risks within artisanal and small-scale gold mining, aggregate mining, gasoline trade, farming and pesticide applications, and electronic waste recycling. These cases emphasize the vastness of the informal sector and that the majority of work activities across the region remain poorly documented, and thus no data or knowledge is available to help improve conditions and formulate policies and programs to promote and ensure decent work conditions. © The Author(s) 2016.