Sample records for national forest inventories

  1. The Finnish national forest inventory

    Treesearch

    Erkki Tomppo

    2009-01-01

    The National Forest Inventory (NFI) of Finland has produced large-area forest resource information since the beginning of 1920s (Ilvessalo 1927). When the 10th inventory (NFI10) started in 2004, the design was changed and the rotation shortened to 5 years. Measurements are done in the entire country each year through measuring one-fifth of the plots. About one-fifth of...

  2. Benefits of a strategic national forest inventory to science and society: the USDA Forest Service Forest Inventory and Analysis program

    Treesearch

    J. D. Shaw

    2006-01-01

    Benefits of a strategic national forest inventory to science and society: the USDA Forest Service Forest Inventory and Analysis program. Forest Inventory and Analysis, previously known as Forest Survey, is one of the oldest research and development programs in the USDA Forest Service. Statistically-based inventory efforts that started in Scandinavian countries in the...

  3. Establishment of Canada's National Forest Inventory: Approach and Issues

    Treesearch

    A. Y. Omule; Mark D. Gillis

    2005-01-01

    This paper describes Canada's National Forest Inventory (NFI) sampling design and implementation. It also describes issues related to annualizing the NFI using the approach of the U.S. Department of Agriculture Forest Service Enhanced Forest Inventory and Analysis program as a model. It concludes with an outline of plans to address the inventory annualization...

  4. Merging National Forest and National Forest Health Inventories to Obtain an Integrated Forest Resource Inventory – Experiences from Bavaria, Slovenia and Sweden

    PubMed Central

    Kovač, Marko; Bauer, Arthur; Ståhl, Göran

    2014-01-01

    Backgrounds, Material and Methods To meet the demands of sustainable forest management and international commitments, European nations have designed a variety of forest-monitoring systems for specific needs. While the majority of countries are committed to independent, single-purpose inventorying, a minority of countries have merged their single-purpose forest inventory systems into integrated forest resource inventories. The statistical efficiencies of the Bavarian, Slovene and Swedish integrated forest resource inventory designs are investigated with the various statistical parameters of the variables of growing stock volume, shares of damaged trees, and deadwood volume. The parameters are derived by using the estimators for the given inventory designs. The required sample sizes are derived via the general formula for non-stratified independent samples and via statistical power analyses. The cost effectiveness of the designs is compared via two simple cost effectiveness ratios. Results In terms of precision, the most illustrative parameters of the variables are relative standard errors; their values range between 1% and 3% if the variables’ variations are low (s%<80%) and are higher in the case of higher variations. A comparison of the actual and required sample sizes shows that the actual sample sizes were deliberately set high to provide precise estimates for the majority of variables and strata. In turn, the successive inventories are statistically efficient, because they allow detecting the mean changes of variables with powers higher than 90%; the highest precision is attained for the changes of growing stock volume and the lowest for the changes of the shares of damaged trees. Two indicators of cost effectiveness also show that the time input spent for measuring one variable decreases with the complexity of inventories. Conclusion There is an increasing need for credible information on forest resources to be used for decision making and national and

  5. Japanese national forest inventory and its spatial extension by remote sensing

    Treesearch

    Yasumasa Hirata; Mitsuo Matsumoto; Toshiro Iehara

    2009-01-01

    Japan has two independent forest inventory systems. One forest inventory is required by the forest planning system based on the Forest Law, in which forest registers and forest planning maps are prepared. The other system is a forest resource monitoring survey, in which systematic sampling is done at 4-km grid intervals. Here, we present these national forest inventory...

  6. Projecting national forest inventories for the 2000 RPA timber assessment.

    Treesearch

    John R. Mills; Xiaoping. Zhou

    2003-01-01

    National forest inventories were projected in a study that was part of the 2000 USDA Forest Service Resource Planning Act (RPA) timber assessment. This paper includes an overview of the status and structure of timber inventory of the National Forest System and presents 50-year projections under several scenarios. To examine a range of possible outcomes, results are...

  7. Application of China's National Forest Continuous Inventory database.

    PubMed

    Xie, Xiaokui; Wang, Qingli; Dai, Limin; Su, Dongkai; Wang, Xinchuang; Qi, Guang; Ye, Yujing

    2011-12-01

    The maintenance of a timely, reliable and accurate spatial database on current forest ecosystem conditions and changes is essential to characterize and assess forest resources and support sustainable forest management. Information for such a database can be obtained only through a continuous forest inventory. The National Forest Continuous Inventory (NFCI) is the first level of China's three-tiered inventory system. The NFCI is administered by the State Forestry Administration; data are acquired by five inventory institutions around the country. Several important components of the database include land type, forest classification and ageclass/ age-group. The NFCI database in China is constructed based on 5-year inventory periods, resulting in some of the data not being timely when reports are issued. To address this problem, a forest growth simulation model has been developed to update the database for years between the periodic inventories. In order to aid in forest plan design and management, a three-dimensional virtual reality system of forest landscapes for selected units in the database (compartment or sub-compartment) has also been developed based on Virtual Reality Modeling Language. In addition, a transparent internet publishing system for a spatial database based on open source WebGIS (UMN Map Server) has been designed and utilized to enhance public understanding and encourage free participation of interested parties in the development, implementation, and planning of sustainable forest management.

  8. The new Brazilian national forest inventory

    Treesearch

    Joberto V. de Freitas; Yeda M. M. de Oliveira; Doadi A. Brena; Guilherme L.A. Gomide; Jose Arimatea Silva; < i> et al< /i>

    2009-01-01

    The new Brazilian national forest inventory (NFI) is being planned to be carried out through five components: (1) general coordination, led by the Brazilian Forest Service; (2) vegetation mapping, which will serve as the basis for sample plot location; (3) field data collection; (4) landscape data collection of 10 x 10-km sample plots, based on high-resolution...

  9. The national forest inventory of the United States of America

    Treesearch

    Ronald E. McRoberts

    2008-01-01

    The mission of the Forest Inventory and Analysis (FIA) program of the Forest Service, U.S. Department of Agriculture, is to conduct the national forest inventory of the United States of America for purposes of estimating the area of forest land; the volume, growth, and removal of forest resources; and the health of the forest. Users of FIA data, estimates, and related...

  10. Estimating dead wood during national forest inventories: a review of inventory methodologies and suggestions for harmonization.

    PubMed

    Woodall, Christopher W; Rondeux, Jacques; Verkerk, Pieter J; Ståhl, Göran

    2009-10-01

    Efforts to assess forest ecosystem carbon stocks, biodiversity, and fire hazards have spurred the need for comprehensive assessments of forest ecosystem dead wood (DW) components around the world. Currently, information regarding the prevalence, status, and methods of DW inventories occurring in the world's forested landscapes is scattered. The goal of this study is to describe the status, DW components measured, sample methods employed, and DW component thresholds used by national forest inventories that currently inventory DW around the world. Study results indicate that most countries do not inventory forest DW. Globally, we estimate that about 13% of countries inventory DW using a diversity of sample methods and DW component definitions. A common feature among DW inventories was that most countries had only just begun DW inventories and employ very low sample intensities. There are major hurdles to harmonizing national forest inventories of DW: differences in population definitions, lack of clarity on sample protocols/estimation procedures, and sparse availability of inventory data/reports. Increasing database/estimation flexibility, developing common dimensional thresholds of DW components, publishing inventory procedures/protocols, releasing inventory data/reports to international peer review, and increasing communication (e.g., workshops) among countries inventorying DW are suggestions forwarded by this study to increase DW inventory harmonization.

  11. The Finnish multisource national forest inventory: small-area estimation and map production

    Treesearch

    Erkki Tomppo

    2009-01-01

    A driving force motivating development of the multisource national forest inventory (MS-NFI) in connection with the Finnish national forest inventory (NFI) was the desire to obtain forest resource information for smaller areas than is possible using field data only without significantly increasing the cost of the inventory. A basic requirement for the method was that...

  12. Remote sensing support for national forest inventories

    Treesearch

    Ronald E. McRoberts; Erkki O. Tomppo

    2007-01-01

    National forest inventory programs are tasked to produce timely and accurate estimates for a wide range of forest resource variables for a variety of users and applications. Time, cost, and precision constraints cause these programs to seek technological innovations that contribute to measurement and estimation efficiencies and that facilitate the production and...

  13. Summary estimates of forest resources on unreserved lands of the Ketchikan inventory unit, Tongass National Forest, southeast Alaska, 1998.

    Treesearch

    Willem W.S. van Hees

    2001-01-01

    Summary estimates are presented of forest resource area, timber volume, and growth and mortality of timber on unreserved national forest land in the Ketchikan inventory unit of the Tongass National Forest. Pacific Northwest Research Station, Forest Inventory and Analysis crews collected inventory data from 1995 to 1998. Productive forest land area (timberland) was...

  14. Summary estimates of forest resources on unreserved lands of the Chatham inventory unit, Tongass National Forest, southeast Alaska, 1998.

    Treesearch

    Willem W.S. van Hees

    2001-01-01

    Summary estimates are presented of forest resource area, timber volume, and growth and mortality of timber on unreserved national forest land in the Chatham inventory unit of the Tongass National Forest. Pacific Northwest Research Station, Forest Inventory and Analysis crews collected inventory data from 1995 to 2000. Productive forest land area (timberland) was...

  15. Summary estimates of forest resources on unreserved lands of the Stikine inventory unit, Tongass National Forest, southeast Alaska, 1998.

    Treesearch

    Willem W.S. van Hees

    2001-01-01

    Summary estimates are presented of forest resource area, timber volume, and growth and mortality of timber on unreserved national forest land in the Stikine inventory unit of the Tongass National Forest. Pacific Northwest Research Station, Forest Inventory and Analysis, crews collected inventory data from 1995 to 1998. Productive forest land area (timberland) was...

  16. Harmonizing estimates of forest land area from national-level forest inventory and satellite imagery

    Treesearch

    Bonnie Ruefenacht; Mark D. Nelson; Mark Finco

    2009-01-01

    Estimates of forest land area are derived both from national-level forest inventories and satellite image-based map products. These estimates can differ substantially within subregional extents (e.g., states or provinces) primarily due to differences in definitions of forest land between inventory- and image-based approaches. We present a geospatial modeling approach...

  17. Advances and emerging issues in national forest inventories

    Treesearch

    Ronald E. McRoberts; Erkki O. Tomppo; Erik Naesset

    2010-01-01

    National forest inventories (NFIs) have a long history, although their current major features date only to the early years of the twentieth century. Recent issues such as concern over the effects of acid deposition, biodiversity, forest sustainability, increased demand for forest data, international reporting requirements and climate change have led to the expansion of...

  18. 77 FR 13625 - Notice of Inventory Completion: USDA Forest Service, Daniel Boone National Forest, Winchester, KY

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-03-07

    ... DEPARTMENT OF THE INTERIOR National Park Service [2253-665] Notice of Inventory Completion: USDA Forest Service, Daniel Boone National Forest, Winchester, KY AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The U.S. Department of Agriculture, Forest Service, Daniel Boone National Forest...

  19. Comparison of U.S. Forest Land AreaEstimates From Forest Inventory and Analysis, National Resources Inventory, and Four Satellite Image-Derived Land Cover Data Sets

    Treesearch

    Mark D. Nelson; Ronald E. McRoberts; Veronica C. Lessard

    2005-01-01

    Our objective was to test one application of remote sensing technology for complementing forest resource assessments by comparing a variety of existing satellite image-derived land cover maps with national inventory-derived estimates of United States forest land area. National Resources Inventory (NRI) 1997 estimates of non-Federal forest land area differed by 7.5...

  20. Towards a plot size for Canada's national forest inventory

    Treesearch

    Steen Magnussen; P. Boudewyn; M. Gillis

    2000-01-01

    A proposed national forest inventory for Canada is to report on the state and trends of resource attributes gathered mainly from aerial photos of sample plots located on a national grid. A pilot project in New Brunswick indicates it takes about 2,800 square 400-ha plots (10 percent inventoried) to achieve a relative standard error of 10 percent or less on 14 out of 17...

  1. 77 FR 39506 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Tongass National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-07-03

    ... DEPARTMENT OF THE INTERIOR National Park Service [NPS-WASO-NAGPRA-10467; 2200-1100-665] Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Tongass National Forest, Craig Ranger... of Agriculture (USDA), Forest Service, Tongass National Forest, has completed an inventory of human...

  2. Forest resources of the Tonto National Forest

    Treesearch

    John D. Shaw

    2004-01-01

    The Interior West Forest Inventory and Analysis (IWFIA) program of the USDA Forest Service, Rocky Mountain Research Station, as part of its national Forest Inventory and Analysis (FIA) duties, conducted forest resource inventories of the Southwestern Region (Region 3) National Forests. This report presents highlights of the Tonto National Forest 1996 inventory...

  3. Forest resources of the Lincoln National Forest

    Treesearch

    John D. Shaw

    2006-01-01

    The Interior West Forest Inventory and Analysis (IWFIA) program of the USDA Forest Service, Rocky Mountain Research Station, as part of its national Forest Inventory and Analysis (FIA) duties, conducted forest resource inventories of the Southwestern Region (Region 3) National Forests. This report presents highlights of the Lincoln National Forest 1997 inventory...

  4. Forest resources of the Gila National Forest

    Treesearch

    John D. Shaw

    2008-01-01

    The Interior West Forest Inventory and Analysis (IWFIA) program of the USDA Forest Service, Rocky Mountain Research Station, as part of its national Forest Inventory and Analysis (FIA) duties, conducted forest resource inventories of the Southwestern Region (Region 3) National Forests. This report presents highlights of the Gila National Forest 1994 inventory including...

  5. Communication from the National Forest Inventories Working Group of the 16th Caribbean Foresters meeting: proposal for a regional workshop

    Treesearch

    Humfredo Marcano-Vega; Carlton Roberts; Henri Valles; Jacqueline Andre; Kevin Boswell; Dennis Lemen; Floyd Liburd; Christian López

    2016-01-01

    We addressed the National Forests Inventories Working Group of the 16th Caribbean Foresters Meeting to propose a series of training modules regarding how to conduct national forest inventories and analyze the data collected. Improving regional capacity is crucial to ensuring the sustainable management of Caribbean forest ecosystems. We focused on the statistical and...

  6. Forest resources of the Clearwater National Forest

    Treesearch

    Ryan P. Hughes

    2011-01-01

    The Interior West Forest Inventory and Analysis (IWFIA) Program of the USDA Forest Service, Rocky Mountain Research Station, as part of our National Forest System cooperative inventories, conducted a forest resource inventory on the Clearwater National Forest using a nationally standardized mapped-plot design (for more details see section "Inventory methods...

  7. Inventorying national forest resources...for planning-programing-budgeting system

    Treesearch

    Miles R. Hill; Elliot L. Amidon

    1968-01-01

    New systems for analyzing resource management problems, such as Planning-Programing-Budgeting, will require automated procedures to collect and assemble resource inventory data. A computer - oriented system called Map Information Assembly and Display System developed for this purpose was tested on a National Forest in California. It provided information on eight forest...

  8. Forest resources of the Shoshone National Forest

    Treesearch

    James Menlove

    2008-01-01

    The Interior West Forest Inventory and Analysis (IWFIA) Program of the USDA Forest Service, Rocky Mountain Research Station, as part of our National Forest System cooperative inventories, conducted a forest resource inventory on the Shoshone National Forest using a nationally standardized mapped-plot design. This report presents the highlights of this 1999 inventory...

  9. Forest resources of the Prescott National Forest

    Treesearch

    Paul Rogers

    2003-01-01

    The Interior West Forest Inventory and Analysis (IWFIA) program of the USDA Forest Service, Rocky Mountain Research Station, as part of its national Forest Inventory and Analysis (FIA) duties, conducted forest resource inventories of the Southwestern Region (Region 3) National Forests. This report presents highlights of the Prescott National Forest 1996...

  10. Forest resources of the Medicine Bow National Forest

    Treesearch

    Jim Steed

    2008-01-01

    The Interior West Forest Inventory and Analysis (IWFIA) Program of the USDA Forest Service, Rocky Mountain Research Station, as part of our National Forest System cooperative inventories, conducted a forest resource inventory on the Medicine Bow National Forest using a nationally standardized mapped-plot design (for more details see "Inventory methods"...

  11. Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage

    PubMed Central

    2013-01-01

    The U.S. has been providing national-scale estimates of forest carbon (C) stocks and stock change to meet United Nations Framework Convention on Climate Change (UNFCCC) reporting requirements for years. Although these currently are provided as national estimates by pool and year to meet greenhouse gas monitoring requirements, there is growing need to disaggregate these estimates to finer scales to enable strategic forest management and monitoring activities focused on various ecosystem services such as C storage enhancement. Through application of a nearest-neighbor imputation approach, spatially extant estimates of forest C density were developed for the conterminous U.S. using the U.S.’s annual forest inventory. Results suggest that an existing forest inventory plot imputation approach can be readily modified to provide raster maps of C density across a range of pools (e.g., live tree to soil organic carbon) and spatial scales (e.g., sub-county to biome). Comparisons among imputed maps indicate strong regional differences across C pools. The C density of pools closely related to detrital input (e.g., dead wood) is often highest in forests suffering from recent mortality events such as those in the northern Rocky Mountains (e.g., beetle infestations). In contrast, live tree carbon density is often highest on the highest quality forest sites such as those found in the Pacific Northwest. Validation results suggest strong agreement between the estimates produced from the forest inventory plots and those from the imputed maps, particularly when the C pool is closely associated with the imputation model (e.g., aboveground live biomass and live tree basal area), with weaker agreement for detrital pools (e.g., standing dead trees). Forest inventory imputed plot maps provide an efficient and flexible approach to monitoring diverse C pools at national (e.g., UNFCCC) and regional scales (e.g., Reducing Emissions from Deforestation and Forest Degradation projects) while

  12. Forest resources of the Bighorn National Forest

    Treesearch

    Christopher Witt

    2008-01-01

    The Interior West Forest Inventory and Analysis (IWFIA) Program of the USDA Forest Service, Rocky Mountain Research Station, as part of our National Forest System cooperative inventories, conducted a forest resource inventory on the Bighorn National Forest (Bighorn) using a nationally standardized mapped-plot design. This report presents the highlights of this 2000...

  13. The design of the second German national forest inventory

    Treesearch

    Gerald Kandler

    2009-01-01

    In Germany, a sample-based national forest inventory (NFI) took place for the first time from 1986 to 1990 (in West Germany only); the second one took place from 2001 to 2002. The inventory design is based on a systematic distribution of tracts on regular grids of regionally differing width. The primary sampling unit is a quadrangular tract with sides of 150 m. The...

  14. Forest resources of the Idaho Panhandle National Forest

    Treesearch

    Joshua C. Holte

    2012-01-01

    The Interior West Forest Inventory and Analysis (IWFIA) Program of the USDA Forest Service, Rocky Mountain Research Station, as part of our National Forest System cooperative inventories, conducted a forest resource inventory on the Idaho Panhandle National Forest (IPNF) using a nationally standardized mapped-plot design (for more details see "The inventory...

  15. Forest resources of the Nez Perce National Forest

    Treesearch

    Michele Disney

    2010-01-01

    As part of a National Forest System cooperative inventory, the Interior West Forest Inventory and Analysis (IWFIA) Program of the USDA Forest Service conducted a forest resource inventory on the Nez Perce National Forest using a nationally standardized mapped-plot design (for more details see the section "Inventory methods"). This report presents highlights...

  16. Forest resources of the Black Hills National Forest

    Treesearch

    Larry T. DeBlander

    2002-01-01

    The Interior West Forest Inventory and Analysis (IWFIA) Program of the USDA Forest Service, Rocky Mountain Research Station, as part of our National Forest System cooperative inventories, conducted a forest resource inventory on the Black Hills National Forest using a nationally standardized mapped-plot design (for more details see section "How was the inventory...

  17. 78 FR 34125 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, San Juan National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-06-06

    ... DEPARTMENT OF THE INTERIOR National Park Service [NPS-WASO-NAGPRA-13011; PPWOCRADN0-PCU00RP14.R50000] Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, San Juan National... of Agriculture (USDA), Forest Service, San Juan National Forest has completed an inventory of human...

  18. Forest resources of the Santa Fe National Forest

    Treesearch

    Dana Lambert

    2004-01-01

    The Interior West Forest Inventory and Analysis (IWFIA) program of the USDA Forest Service, Rocky Mountain Research Station, as part of its national Forest Inventory and Analysis (FIA) duties, conducted forest resource inventories of the Southwestern Region (Region 3) National Forests. This report presents highlights of the Santa Fe National Forest 1998...

  19. Updating national forest inventory estimates of growing stock volume using hybrid inference

    Treesearch

    Sonia Condés; Ronald E. McRoberts

    2017-01-01

    International organizations increasingly require estimates of forest parameters to monitor the state of and changes in forest resources, the sustainability of forest practices and the role of forests in the carbon cycle. Most countries rely on data from their national forest inventories (NFI) to produce these estimates. However, because NFI survey years may not match...

  20. 75 FR 45656 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Siuslaw National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-08-03

    ... DEPARTMENT OF THE INTERIOR National Park Service Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Siuslaw National Forest, Waldport, OR AGENCY: National Park Service... of the U.S. Department of Agriculture, Forest Service, Siuslaw National Forest, Waldport, OR. The...

  1. Forest resources of the Forest resources of the Apache-Sitgreaves National Forest

    Treesearch

    Paul Rogers

    2008-01-01

    The Interior West Forest Inventory and Analysis (IWFIA) program of the USDA Forest Service, Rocky Mountain Research Station, as part of its national Forest Inventory and Analysis (FIA) duties, conducted forest resource inventories of the Southwestern Region (Region 3) National Forests. This report presents highlights of the Apache-Sitgreaves National Forest...

  2. Forest inventory: role in accountability for sustainable forest management

    Treesearch

    Lloyd C. Irland

    2007-01-01

    Forest inventory can play several roles in accountability for sustainable forest management. A first dimension is accountability for national performance. The new field of Criteria and Indicators is an expression of this need. A more familiar role for the U.S. Department of Agriculture Forest Service Forest Inventory and Analysis (FIA) program is for assessment and...

  3. 75 FR 52014 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Cherokee National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-08-24

    ... DEPARTMENT OF THE INTERIOR National Park Service Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Cherokee National Forest, Cleveland, TN AGENCY: National Park Service... funerary objects in the control of the U.S. Department of Agriculture, Forest Service, Cherokee National...

  4. Forest resources of the Bitterroot National Forest

    Treesearch

    Tracey S. Frescino

    2008-01-01

    The Interior West Resource Inventory, Monitoring, and Evaluation (IWRIME) Program of the USDA Forest Service, Rocky Mountain Research Station (formerly the Intermountain Research Station), as part of its national Forest Inventory and Analysis (FIA) duties, entered into a cooperative agreement with the Northern Region for the inventory of the National Forests...

  5. Forest Service Resource Inventories: An Overview

    Treesearch

    USDA Forest Service

    1992-01-01

    Forest and related resource inventories are conducted by the US. Forest Service to provide the quantitative base necessary for making sound management, conservation, and stewardship decisions affecting these valuable resources. Inventory information has guided the management of 191 million acres (77.3 million ha) of publicly-owned National Forest land. Forest...

  6. Austrian National Forest Inventory: caught in the past and heading toward the future

    Treesearch

    Klemens Schadauer; Thomas Gschwantner; Karl Gabler

    2007-01-01

    The Austrian National Forest Inventory (AFI) started in 1961 on a temporary plot design with a systematic grid and a period of 10 years. For the first 30 years it was conducted as a continuous forest inventory. Since 1981 a permanent plot system has been used and the assessment period was reduced. Only slight changes in the plot design have occurred since the beginning...

  7. Italian National Forest Inventory: methods, state of the project, and future developments

    Treesearch

    Giovanni Tabacchi; Flora De Natale; Antonio Floris; Caterina Gagliano; Patrizia Gasparini; Gianfranco Scrinzi; Vittorio Tosi

    2007-01-01

    A primary objective of the Italian National Forest Inventory (NFI) is to provide information required by the Kyoto Protocol and the Ministerial Conference on the Protection of Forests in Europe in relation to sustainable forest management practices. For this reason, the second Italian NFI was aimed at providing data in a way that is consistent with the international...

  8. Algorithmic decision rules for estimating growth, removals, and mortality within a national-scale forest inventory (USA)

    Treesearch

    William H. McWilliams; Carol L. Alerich; William A. Bechtold; Mark Hansen; Christopher M. Oswalt; Mike Thompson; Jeff Turner

    2012-01-01

    The U.S. Department of Agriculture, Forest Service, Forest Inventory and Analysis (FIA) program maintains the National Information Management System (NIMS) that provides the computational framework for the annual forest inventory of the United States. Questions regarding the impact of key elements of programming logic, processing criteria, and estimation procedures...

  9. Forest Inventory and Analysis National Data Quality Assessment Report for 2000 to 2003

    Treesearch

    James E. Pollard; James A. Westfall; Paul L. Patterson; David L. Gartner; Mark Hansen; Olaf Kuegler

    2006-01-01

    The Forest Inventory and Analysis program (FIA) is the key USDA Forest Service (USFS) program that provides the information needed to assess the status and trends in the environmental quality of the Nation's forests. The goal of the FIA Quality Assurance (QA) program is to provide a framework to assure the production of complete, accurate and unbiased forest...

  10. Comparison of Kalman filters in combining panel data from the annual inventory system of the South Korea National Forest Inventory

    Treesearch

    Tzeng Yih Lam; Raymond L. Czaplewski; Jong Su Yim; Kyeong Hak Lee; Sung Ho Kim; Rae Hyun Kim

    2013-01-01

    National Forest Inventories (NFIs) serve a primary purpose of providing crucial information for formulating national forest policy, environmental planning and reporting to international processes (Tomppo and others 2010). Pressure for timely and reliable forestry statistics urges countries to put a NFI in place or to consider alternative designs. Some countries, for...

  11. 77 FR 68824 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Tongass National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-11-16

    ... DEPARTMENT OF THE INTERIOR National Park Service [NPS-WASO-NAGPRA-11514; 2200-1100-665] Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Tongass National Forest, Juneau, AK..., Interior. ACTION: Notice. SUMMARY: The U.S. Department of Agriculture (USDA), Forest Service, Tongass...

  12. Forest resources of South Carolina's national forests, 2001

    Treesearch

    Sonja N. Oswalt

    2005-01-01

    This bulletin describes forest resources of the Francis Marion and Sumter National Forests in the State of South Carolina. It is based on sampling from the eighth forest inventory conducted by the U.S. Department of Agriculture Forest Service, Southern Research Station, Forest Inventory and Analysis Research Work Unit. Findings suggest that South Carolina’s national...

  13. 76 FR 14068 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Sequoia National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-03-15

    ... DEPARTMENT OF THE INTERIOR National Park Service [2253-665] Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Sequoia National Forest, Porterville, CA AGENCY: National Park... and associated funerary objects in the possession and control of the U.S. Department of Agriculture...

  14. Patterns of exotic plant invasions in Pennsylvania's Allegheny National Forest using intensive Forest Inventory and Analysis plots

    Treesearch

    Cynthia D. Huebner; Randall S. Morin; Ann Zurbriggen; Robert L. White

    2009-01-01

    Intensive Forest Inventory and Analysis (FIA) plot data collected in the Allegheny National Forest (ANF), Pennsylvania, between 1999 and 2006 were evaluated for their ability to predict ANF's vulnerability to invasion by exotic plants. A total of 26 variables classified by biotic, abiotic, or disturbance characteristics were examined. Likelihood of colonization by...

  15. A new flexible forest inventory in France

    Treesearch

    C. Vidal; T. Belouard; J.-C. Herve; N. Robert; J. Wolsack

    2007-01-01

    The French National Forest Inventory was created in 1958 to assess metropolitan forest resources. To stick to new national and international requirements as well as to enhance reactivity, a new inventory method was implemented in 2004. This new method is based on a systematic sampling grid covering the whole territory every year. The size of the mesh is variable,...

  16. 78 FR 59953 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Coconino National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-30

    ... DEPARTMENT OF THE INTERIOR National Park Service [NPS-WASO-NAGPRA-13882; PPWOCRADN0-PCU00RP14.R50000] Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Coconino National.... ACTION: Notice. SUMMARY: The U.S. Department of Agriculture (USDA), Forest Service, Coconino National...

  17. 77 FR 32989 - Notice of Inventory Completion: U.S. Department of Agriculture, San Juan National Forest, Durango...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-04

    ... Inventory Completion: U.S. Department of Agriculture, San Juan National Forest, Durango, CO, and University... the control of the U.S. Department of Agriculture, San Juan National Forest, Durango, CO, and in the... by the U.S. Department of Agriculture, San Juan National Forest in the Federal Register (73 FR 49485...

  18. Carbon factors and models for forest carbon estimates for the 2005-2011 National Greenhouse Gas Inventories of the United States

    Treesearch

    James E. Smith; Linda S. Heath; Coeli M. Hoover

    2013-01-01

    Most nations have ratified the United Nations Framework Convention on Climate Change, and are mandated to report National Greenhouse Gas Inventories, including the land use, land use change and forestry sector when it is significant. Participating countries commonly use data from national forest inventories as a basis for their forest-related emissions estimates. The...

  19. Monitoring state forest lands in standardization with a national forest inventory program

    Treesearch

    James A. Westfall; Charles T. Scott

    2009-01-01

    Within the past decade, there has been increasing interest in uniformity of forest inventory techniques and methods. Where forest inventories are already in place, harmonization is often needed to recast various metrics and measurements to a common definition so that results can be compared and summarized across various spatial scales without regard to administrative...

  20. Quantifying uncertainty in national forest carbon stocks: challenges and opportunities for the United States National Greenhouse Gas Inventory

    NASA Astrophysics Data System (ADS)

    Clough, B.; Russell, M.; Domke, G. M.; Woodall, C. W.

    2016-12-01

    Uncertainty estimates are needed to establish confidence in national forest carbon stocks and to verify changes reported to the United Nations Framework Convention on Climate Change. Good practice guidance from the Intergovernmental Panel on Climate Change stipulates that uncertainty assessments should neither exaggerate nor underestimate the actual error within carbon stocks, yet methodological guidance for forests has been hampered by limited understanding of how complex dynamics give rise to errors across spatial scales (i.e., individuals to continents). This talk highlights efforts to develop a multi-scale, data-driven framework for assessing uncertainty within the United States (US) forest carbon inventory, and focuses on challenges and opportunities for improving the precision of national forest carbon stock estimates. Central to our approach is the calibration of allometric models with a newly established legacy biomass database for North American tree species, and the use of hierarchical models to link these data with the Forest Inventory and Analysis (FIA) database as well as remote sensing datasets. Our work suggests substantial risk for misestimating key sources of uncertainty including: (1) attributing more confidence in allometric models than what is warranted by the best available data; (2) failing to capture heterogeneity in biomass stocks due to environmental variation at regional scales; and (3) ignoring spatial autocorrelation and other random effects that are characteristic of national forest inventory data. Our results suggest these sources of error may be much higher than is generally assumed, though these results must be understood with the limited scope and availability of appropriate calibration data in mind. In addition to reporting on important sources of uncertainty, this talk will discuss opportunities to improve the precision of national forest carbon stocks that are motivated by our use of data-driven forecasting including: (1

  1. Measurement repeatability of a large-scale inventory of forest fuels

    Treesearch

    J.A. Westfall; C.W. Woodall

    2007-01-01

    An efficient and accurate inventory of forest fuels at large scales is critical for assessment of forest fire hazards across landscapes. The Forest Inventory and Analysis (FIA) program of the USDA Forest Service conducts a national inventory of fuels along with blind remeasurement of a portion of inventory plots to monitor and improve data quality. The goal of this...

  2. VT0005 In Action: National Forest Biomass Inventory Using Airborne Lidar Sampling

    NASA Astrophysics Data System (ADS)

    Saatchi, S. S.; Xu, L.; Meyer, V.; Ferraz, A.; Yang, Y.; Shapiro, A.; Bastin, J. F.

    2016-12-01

    Tropical countries are required to produce robust and verifiable estimates of forest carbon stocks for successful implementation of climate change mitigation. Lack of systematic national inventory data due to access, cost, and infrastructure, has impacted the capacity of most tropical countries to accurately report the GHG emissions to the international community. Here, we report on the development of the aboveground forest carbon (AGC) map of Democratic Republic of Congo (DRC) by using the VCS (Verified Carbon Standard) methodology developed by Sassan Saatchi (VT0005) using high-resolution airborne LiDAR samples. The methodology provides the distribution of the carbon stocks in aboveground live trees of more than 150 million ha of forests at 1-ha spatial resolution in DRC using more than 430, 000 ha of systematic random airborne Lidar inventory samples of forest structure. We developed a LIDAR aboveground biomass allometry using more than 100 1-ha plots across forest types and power-law model with LIDAR height metrics and average landscape scale wood density. The methodology provided estimates of forest biomass over the entire country using two approaches: 1) mean, variance, and total carbon estimates for each forest type present in DRC using inventory statistical techniques, and 2) a wall-to-wall map of the forest biomass extrapolated using satellite radar (ALOS PALSAR), surface topography from SRTM, and spectral information from Landsat (TM) and machine learning algorithms. We present the methodology, the estimates of carbon stocks and the spatial uncertainty over the entire country. AcknowledgementsThe theoretical research was carried out partially at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration, and the design and implementation in the Democratic Republic of Congo was carried out at the Institute of Environment and Sustainability at University of California Los

  3. Estimation of merchantable bole volume and biomass above sawlog top in the National Forest inventory of the United States

    Treesearch

    Grant M. Domke; Christopher M. Oswalt; Christopher W. Woodall; Jeffery A. Turner

    2013-01-01

    Emerging markets for small-diameter roundwood along with a renewed interest in forest biomass for energy have created a need for estimates of merchantable biomass above the minimum sawlog top diameter for timber species in the national forest inventory of the United States. The Forest Inventory and Analysis (FIA) program of the USDA Forest Service recently adopted the...

  4. Application of Forest Inventory and Analysis (FIA) data to estimate the amount of old growth forest and snag density in the Northern Region of the National Forest System

    Treesearch

    Raymond L. Czaplewski

    2004-01-01

    This report discusses valid use of data produced by the Forest Service?s Forest Inventory and Analysis (FIA) program and used by the Northern Region of the National Forest System to analyze the compliance of individual National Forests with their Standards and Guidelines. It emphasizes use of FIA data on snag density and the percentage of forest area that meets the...

  5. Forest resources of the Kootenai National Forest

    Treesearch

    Andrea M. Wilson; Patrick D. Miles

    2000-01-01

    THe Interior West Resource Inventory, Monitoring, and Evaluation (IWRIME) Program of the USDA Forest Service, Rocky Mountain Research Station (formerly known as the Intermountain Research Station), as part of its national Forest Inventory and Analysis (FIA) duties, entered into a cooperative agreement with the Northern Region (Region 1) for the inventory of its...

  6. Extending large-scale forest inventories to assess urban forests.

    PubMed

    Corona, Piermaria; Agrimi, Mariagrazia; Baffetta, Federica; Barbati, Anna; Chiriacò, Maria Vincenza; Fattorini, Lorenzo; Pompei, Enrico; Valentini, Riccardo; Mattioli, Walter

    2012-03-01

    Urban areas are continuously expanding today, extending their influence on an increasingly large proportion of woods and trees located in or nearby urban and urbanizing areas, the so-called urban forests. Although these forests have the potential for significantly improving the quality the urban environment and the well-being of the urban population, data to quantify the extent and characteristics of urban forests are still lacking or fragmentary on a large scale. In this regard, an expansion of the domain of multipurpose forest inventories like National Forest Inventories (NFIs) towards urban forests would be required. To this end, it would be convenient to exploit the same sampling scheme applied in NFIs to assess the basic features of urban forests. This paper considers approximately unbiased estimators of abundance and coverage of urban forests, together with estimators of the corresponding variances, which can be achieved from the first phase of most large-scale forest inventories. A simulation study is carried out in order to check the performance of the considered estimators under various situations involving the spatial distribution of the urban forests over the study area. An application is worked out on the data from the Italian NFI.

  7. Forest resources of Mississippi’s national forests, 2006

    Treesearch

    Sonja N. Oswalt

    2011-01-01

    This bulletin describes forest resource characteristics of Mississippi’s national forests, with emphasis on DeSoto National Forest, following the 2006 survey completed by the U.S. Department of Agriculture Forest Service, Forest Inventory and Analysis program. Mississippi’s national forests comprise > 1 million acres of forest land, or about 7 percent of all forest...

  8. Forest inventory-based estimation of carbon stocks and flux in California forests in 1990.

    Treesearch

    Jeremy S. Fried; Xiaoping Zhou

    2008-01-01

    Estimates of forest carbon stores and flux for California circa 1990 were modeled from forest inventory data in support of California’s legislatively mandated greenhouse gas inventory. Reliable estimates of live-tree carbon stores and flux on timberlands outside of national forest could be calculated from periodic inventory data collected in the 1980s and 1990s;...

  9. Inventory of oaks on California's national forest lands

    Treesearch

    Thomas Gaman; Kevin Casey

    2002-01-01

    California has 18+ million acres of land owned by the USDA Forest Service. This is almost 20 percent of the area of the state. From 1994-2000 the Region 5 Remote Sensing Lab collected forest, vegetation and fuels inventory data from thousands of permanent monitoring plots established on diverse sites on Forest Service lands throughout the region. The plots are...

  10. Measurement of forest disturbance and regrowth with Landsat and forest inventory and analysis data: anticipated benefits from forest and inventory analysis' collaboration with the national aeronautics and space administration and university partners

    Treesearch

    Sean Healey; Gretchen Moisen; Jeff Masek; Warren Cohen; Sam Goward; < i> et al< /i>

    2007-01-01

    The Forest Inventory and Analysis (FIA) program has partnered with researchers from the National Aeronautics and Space Administration, the University of Maryland, and other U.S. Department of Agriculture Forest Service units to identify disturbance patterns across the United States using FIA plot data and time series of Landsat satellite images. Spatially explicit...

  11. Forest resources of the Shawnee National Forest, 2007

    Treesearch

    C.M. Kurtz; S.J. Crocker

    2010-01-01

    This publication provides an overview of forest resource attributes for the Shawnee National Forest based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program of the U.S. Forest Service, Northern Research Station. These estimates, along with web-posted core tables, will be updated annually. For more information, please refer to page 4 of...

  12. Forest resources of the Beaverhead-Deerlodge National Forest

    Treesearch

    Larry T. DeBlander

    2001-01-01

    The Interior West Resource Inventory, Monitoring, and Evaluation (IWRIME) Program of the USDA Forest Service, Rocky Mountain Research Station (formerly the Intermountain Research Station), as part of its national Forest Inventory and Analysis (FIA) duties, entered into a cooperative agreement with the Northern Region (Region 1) for the inventory of its...

  13. Integrating remote sensing and forest inventory data for assessing forest blowdown in the boundary waters canoe area wilderness

    Treesearch

    Mark D. Nelson; W. Keith Moser

    2007-01-01

    The USDA Forest Service's Forest Inventory and Analysis (FIA) program conducts strategic inventories of our Nation's forest resources. There is increasing need to assess effects of forest disturbance from catastrophic events, often within geographic extents not typically addressed by strategic forest inventories. One such event occurred within the Boundary...

  14. Multistage variable probability forest volume inventory. [Defiance Unit of the Navajo Nation in Arizona and Colorado

    NASA Technical Reports Server (NTRS)

    Anderson, J. E. (Principal Investigator)

    1979-01-01

    The net board foot volume (Scribner log rule) of the standing Ponderosa pine timber on the Defiance Unit of the Navajo Nation's forested land was estimated using a multistage forest volume inventory scheme with variable sample selection probabilities. The inventory designed to accomplish this task required that both LANDSAT MSS digital data and aircraft acquired data be used to locate one acre ground splits, which were subsequently visited by ground teams conducting detailed tree measurements using an optical dendrometer. The dendrometer measurements were then punched on computer input cards and were entered in a computer program developed by the U.S. Forest Service. The resulting individual tree volume estimates were then expanded through the use of a statistically defined equation to produce the volume estimate for the entire area which includes 192,026 acres and is approximately a 44% the total forested area of the Navajo Nation.

  15. Annual forest inventory: cornerstone of sustainability in the South

    Treesearch

    Gregory A. Reams; Francis A. Roesch; Noel D. Cost

    1999-01-01

    With many competing uses and large regional shifts in forestland use, the sustainability of southern forests is being questioned. The new Southern Annual Forest Inventory System (SAFIS) is being implemented to address regional, State, and national questions regarding past, current, and projected changes in the southern forest. The annual inventory system will provide...

  16. Harmonizing national forest inventories

    Treesearch

    Ronald E. McRoberts; Erkki O. Tomppo; Klemens Schadauer; Göran Ståhl

    2012-01-01

    International agreements increasingly require that countries report estimates of national forest resources. The United Nations Framework Convention on Climate Change requires that countries submit annual reports of greenhouse gas emissions and removals by sources and sinks. The Convention on Biological Diversity requires that countries identify and monitor components...

  17. Quantifying the Model-Related Variability of Biomass Stock and Change Estimates in the Norwegian National Forest Inventory

    Treesearch

    Johannes Breidenbach; Clara Antón-Fernández; Hans Petersson; Ronald E. McRoberts; Rasmus Astrup

    2014-01-01

    National Forest Inventories (NFIs) provide estimates of forest parameters for national and regional scales. Many key variables of interest, such as biomass and timber volume, cannot be measured directly in the field. Instead, models are used to predict those variables from measurements of other field variables. Therefore, the uncertainty or variability of NFI estimates...

  18. Forest resource statistics for the Monongahela National Forest: 2000

    Treesearch

    Richard H. Widmann; Douglas M. Griffith

    2004-01-01

    During 1999-2000, the fifth inventory of West Virginia?s forest resources was conducted by the Forest Inventory and Analysis unit of the USDA Forest Service?s Northeastern Research Station. The survey included a subsample within the Monongahela National Forest (MNF). The results showed that the MNF contains 899,000 acres of forest land, or 7.5 percent of the State?s...

  19. Forest resources of the Umatilla National Forest.

    Treesearch

    Glenn A. Christensen; Paul Dunham; David C. Powell; Bruce. Hiserote

    2007-01-01

    Current resource statistics for the Umatilla National Forest, based on two separate inventories conducted in 1993–96 and in 1997–2002, are presented in this report. Currently on the Umatilla National Forest, 89 percent of the land area is classified as forest land. The predominant forest type is grand fir (26 percent of forested acres) followed by the interior Douglas-...

  20. Statistical properties of alternative national forest inventory area estimators

    Treesearch

    Francis Roesch; John Coulston; Andrew D. Hill

    2012-01-01

    The statistical properties of potential estimators of forest area for the USDA Forest Service's Forest Inventory and Analysis (FIA) program are presented and discussed. The current FIA area estimator is compared and contrasted with a weighted mean estimator and an estimator based on the Polya posterior, in the presence of nonresponse. Estimator optimality is...

  1. Assessing estimation techniques for missing plot observations in the U.S. forest inventory

    Treesearch

    Grant M. Domke; Christopher W. Woodall; Ronald E. McRoberts; James E. Smith; Mark A. Hatfield

    2012-01-01

    The U.S. Forest Service, Forest Inventory and Analysis Program made a transition from state-by-state periodic forest inventories--with reporting standards largely tailored to regional requirements--to a nationally consistent, annual inventory tailored to large-scale strategic requirements. Lack of measurements on all forest land during the periodic inventory, along...

  2. Disentangling forest change from forest inventory change: A case study from the US Interior West

    Treesearch

    Sara A. Goeking

    2015-01-01

    Long-term trends in forest attributes are typically assessed using strategic inventories such as the US Department of Agriculture (USDA) Forest Service’s Forest Inventory and Analysis (FIA) program. The implicit assumption of any trend analysis is that data are comparable over time. The 1998 Farm Bill tasked FIA with implementing nationally consistent protocols,...

  3. Forest Health Monitoring and Forest Inventory Analysis programs monitor climate change effects in forest ecosystems

    Treesearch

    Kenneth W. Stolte

    2001-01-01

    The Forest Health Monitoring (FHM) and Forest Inventory and Analyses (FIA) programs are integrated bilogical monitoring systems that use nationally standardized methods to evaluate and report on the health and sustainability of forest ecosystems in the United States. Many of the anticipated changes in forest ecosystems from climate change were also issues addressed in...

  4. New Method for Determining the Relative Stand Density of Forest Inventory Plots

    Treesearch

    Christopher W. Woodall; Patrick D. Miles

    2006-01-01

    Determining the relative density of Forest Inventory and Analysis plots is complicated by the various species and tree size combinations in the Nation?s forested ecosystems. Stand density index (SDI), although developed for use in even-aged monocultures, has been used for stand density assessment in largescale forest inventories. To improve application of SDI in uneven...

  5. The North American Forest Database: going beyond national-level forest resource assessment statistics.

    PubMed

    Smith, W Brad; Cuenca Lara, Rubí Angélica; Delgado Caballero, Carina Edith; Godínez Valdivia, Carlos Isaías; Kapron, Joseph S; Leyva Reyes, Juan Carlos; Meneses Tovar, Carmen Lourdes; Miles, Patrick D; Oswalt, Sonja N; Ramírez Salgado, Mayra; Song, Xilong Alex; Stinson, Graham; Villela Gaytán, Sergio Armando

    2018-05-21

    Forests cannot be managed sustainably without reliable data to inform decisions. National Forest Inventories (NFI) tend to report national statistics, with sub-national stratification based on domestic ecological classification systems. It is becoming increasingly important to be able to report statistics on ecosystems that span international borders, as global change and globalization expand stakeholders' spheres of concern. The state of a transnational ecosystem can only be properly assessed by examining the entire ecosystem. In global forest resource assessments, it may be useful to break national statistics down by ecosystem, especially for large countries. The Inventory and Monitoring Working Group (IMWG) of the North American Forest Commission (NAFC) has begun developing a harmonized North American Forest Database (NAFD) for managing forest inventory data, enabling consistent, continental-scale forest assessment supporting ecosystem-level reporting and relational queries. The first iteration of the database contains data describing 1.9 billion ha, including 677.5 million ha of forest. Data harmonization is made challenging by the existence of definitions and methodologies tailored to suit national circumstances, emerging from each country's professional forestry development. This paper reports the methods used to synchronize three national forest inventories, starting with a small suite of variables and attributes.

  6. Comparing alternatives for increasing sampling intensity in forest inventories

    Treesearch

    J. Blackard; P. Patterson

    2014-01-01

    Each of the U.S. Forest Service’s Forest Inventory and Analysis (FIA) regions has an occasional need to intensify the national sampling grid. A variety of methodologies exist within the various FIA regions and National Forest Systems regions for constructing plot intensifications, and there is no consensus on a national procedure The primary objectives of this paper...

  7. South Carolina, 2010 forest inventory and analysis factsheet

    Treesearch

    Roger C. Conner

    2011-01-01

    The Forest Inventory and Analysis (FIA) Program implemented a nationally consistent annual inventory system in 1998. Under the new design, one-fifth of all inventory plots in South Carolina are visited each year. The southern FIA unit, working cooperatively with South Carolina Forestry Commission crews, established the State’s initial annual inventory plots during the...

  8. FIA forest inventory data for wildlife habitat assessment

    Treesearch

    David C. Chojnacky

    2000-01-01

    The Forest Inventory and Analysis (FIA) program of the USDA Forest Service maintains a network of permanent plots to monitor changing forest conditions. These plots were originally established to monitor the nation's timber supply; however, these data have great potential for evaluating other forest resources. To demonstrate a wildlife application, an assessment...

  9. The enhanced forest inventory and analysis program of the USDA forest service: historical perspective and announcements of statistical documentation

    Treesearch

    Ronald E. McRoberts; William A. Bechtold; Paul L. Patterson; Charles T. Scott; Gregory A. Reams

    2005-01-01

    The Forest Inventory and Analysis (FIA) program of the USDA Forest Service has initiated a transition from regional, periodic inventories to an enhanced national FIA program featuring annual measurement of a proportion of plots in each state, greater national consistency, and integration with the ground sampling component of the Forest Health Monitoring (FHM) program...

  10. Multistage variable probability forest volume inventory. [the Defiance Unit of the Navajo Nation

    NASA Technical Reports Server (NTRS)

    Anderson, J. E. (Principal Investigator)

    1979-01-01

    An inventory scheme based on the use of computer processed LANDSAT MSS data was developed. Output from the inventory scheme provides an estimate of the standing net saw timber volume of a major timber species on a selected forested area of the Navajo Nation. Such estimates are based on the values of parameters currently used for scaled sawlog conversion to mill output. The multistage variable probability sampling appears capable of producing estimates which compare favorably with those produced using conventional techniques. In addition, the reduction in time, manpower, and overall costs lend it to numerous applications.

  11. Using classified Landsat Thematic Mapper data for stratification in a statewide forest inventory

    Treesearch

    Mark H. Hansen; Daniel G. Wendt

    2000-01-01

    The 1998 Indiana/Illinois forest inventory (USDA Forest Service, Forest Inventory and Analysis (FIA)) used Landsat Thematic Mapper (TM) data for stratification. Classified images made by the National Gap Analysis Program (GAP) stratified FIA plots into four classes (nonforest, nonforest/ forest, forest/nonforest, and forest) based on a two pixel forest edge buffer zone...

  12. Using Classified Landsat Thematic Mapper Data for Stratification in a Statewide Forest Inventory

    Treesearch

    Mark H. Hansen; Daniel G. Wendt

    2000-01-01

    The 1998 Indiana/Illinois forest inventory (USDA Forest Service, Forest Inventory and Analysis (FIA)) used Landsat Thematic Mapper (TM} data for stratification. Classified images made by the National Gap Analysis Program (GAP) stratified FIA plots into four classes (nonforest, nonforest/forest, forest/nonforest, and forest) based on a two pixel forest edge buffer zone...

  13. Coniferous forest classification and inventory using Landsat and digital terrain data

    NASA Technical Reports Server (NTRS)

    Franklin, J.; Logan, T. L.; Woodcock, C. E.; Strahler, A. H.

    1986-01-01

    Machine-processing techniques were used in a Forest Classification and Inventory System (FOCIS) procedure to extract and process tonal, textural, and terrain information from registered Landsat multispectral and digital terrain data. Using FOCIS as a basis for stratified sampling, the softwood timber volumes of the Klamath National Forest and Eldorado National Forest were estimated within standard errors of 4.8 and 4.0 percent, respectively. The accuracy of these large-area inventories is comparable to the accuracy yielded by use of conventional timber inventory methods, but, because of automation, the FOCIS inventories are more rapid (9-12 months compared to 2-3 years for conventional manual photointerpretation, map compilation and drafting, field sampling, and data processing) and are less costly.

  14. Statistics and quality assurance for the Northern Research Station Forest Inventory and Analysis Program, 2016

    Treesearch

    Dale D. Gormanson; Scott A. Pugh; Charles J. Barnett; Patrick D. Miles; Randall S. Morin; Paul A. Sowers; Jim Westfall

    2017-01-01

    The U.S. Forest Service Forest Inventory and Analysis (FIA) program collects sample plot data on all forest ownerships across the United States. FIA's primary objective is to determine the extent, condition, volume, growth, and use of trees on the Nation's forest land through a comprehensive inventory and analysis of the Nation's forest resources. The...

  15. The National Inventory of Down Woody Materials: Methods, Outputs, and Future Directions

    Treesearch

    Christopher W. Woodall

    2003-01-01

    The Forest Inventory and Analysis Program (FIA) of the USDA Forest Service conducts a national inventory of forests of the United States. A subset of FIA permanent inventory plots are sampled every year for numerous forest health indicators ranging fiom soils to understory vegetation. Down woody material (DWM) is an FIA indicator that refines estimation of forest...

  16. 77 FR 68821 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Ozark-St. Francis...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-11-16

    ... DEPARTMENT OF THE INTERIOR National Park Service [NPS-WASO-NAGPRA-11492; 2200-1100-665] Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Ozark-St. Francis National Forests... Agriculture (USDA), Forest Service, Ozark-St. Francis National Forests has completed an inventory of human...

  17. 77 FR 68822 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Ozark-St. Francis...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-11-16

    ... DEPARTMENT OF THE INTERIOR National Park Service [NPS-WASO-NAGPRA-11491: 2200-1100-665] Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Ozark-St. Francis National Forests... Agriculture (USDA), Forest Service, Ozark-St. Francis National Forests has completed an inventory of human...

  18. 77 FR 68819 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Ozark-St. Francis...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-11-16

    ... DEPARTMENT OF THE INTERIOR National Park Service [NPS-WASO-NAGPRA-11493; 2200-1100-665] Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Ozark-St. Francis National Forests... Agriculture (USDA), Forest Service, Ozark-St. Francis National Forests has completed an inventory of human...

  19. Statistics and quality assurance for the Northern Research Station Forest Inventory and Analysis Program

    Treesearch

    Dale D. Gormanson; Scott A. Pugh; Charles J. Barnett; Patrick D. Miles; Randall S. Morin; Paul A. Sowers; James A. Westfall

    2018-01-01

    The U.S. Forest Service Forest Inventory and Analysis (FIA) program collects sample plot data on all forest ownerships across the United States. FIA’s primary objective is to determine the extent, condition, volume, growth, and use of trees on the Nation’s forest land through a comprehensive inventory and analysis of the Nation’s forest resources. The FIA program...

  20. Managed forest carbon estimates for the US greenhouse gas inventory, 1990-2008

    Treesearch

    Linda S. Heath; James E. Smith; Kenneth E. Skog; David J. Nowak; Christopher W. Woodall

    2011-01-01

    Land-use change and forestry is the major category featuring carbon sequestration in the annual US Greenhouse Gas Inventory, required by the United Nations Framework Convention on Climate Change. We describe the National Greenhouse Gas Inventory and present the sources of our data and methods and the most recent results. Forests and forest products in the United States...

  1. A Guide to nonnative invasive plants inventoried in the north by Forest Inventory and Analysis

    Treesearch

    Cassandra Olson; Anita F. Cholewa

    2009-01-01

    The Forest Inventory and Analysis (FIA) program of the U.S. Forest Service is an ongoing endeavor mandated by Congress to determine the extent, condition, volume, growth, and depletions of timber on the Nation's forest land. FIA has responded to a growing demand for other information about our forests including, but not limited to,...

  2. The forest resources of the Ottawa National Forest, 1993.

    Treesearch

    Earl C. Leatherberry; James L. Meunier

    1997-01-01

    The inventory of the forest resources of the Ottawa National Forest reports 967.0 thousand acres of land, of which 908.6 thousand acres are forested. This bulletin presents an analysis of forest resources focusing on change in tree species composition, timber volume, growth, removals, and mortality.

  3. Overview of the National Inventory and Monitoring Applications Center (NIMAC)

    Treesearch

    Charles T. Scott

    2009-01-01

    The National Inventory and Monitoring Applications Center (NIMAC) was created by the Forest Inventory and Analysis (FIA) program in 2006. NIMAC addresses a growing need, expressed by FIA partners, for technical assistance in designing and implementing monitoring plans for forests at scales finer than that provided by the FIA standard inventory. NIMAC's goal is to...

  4. The Italian National Forest Inventory: geographical and positioning aspects in relation to the different phases of the project

    Treesearch

    Giacomo Colle; Antonio Floris; Gianfranco Scrinzi; Giovanni Tabacchi; Lorenzo Cavini

    2009-01-01

    In this article, we describe in depth the analysis and solutions to manage the multiple coordinates of the sampling objects coming from the three different phases of the second Italian national forest inventory (Inventario Nazionale delle Foreste e dei serbatoi forestali di Carbonio [INFC]). In particular, this article describes the criteria used to determine the...

  5. Forest resources of the Hoosier National Forest, 2005

    Treesearch

    Christoper W. Woodall; Judith A. Perez; Thomas R. Thake

    2007-01-01

    The first annual inventory of the Hoosier National Forest reports more than 200,000 forest land acres dominated by oaks, maples, and hickories with annual growth exceeding annual mortality by a factor of seven. When compared to forests in the rest of Indiana, the Hoosier's forests are on average older, have greater biomass per acre, and possess a greater...

  6. Forest statistics for eastern Oregon and eastern Washington from inventory phase of forest survey

    Treesearch

    R.W. Cowlin; F.L. Moravets

    1938-01-01

    The forest survey, a Nation-wide project authorized by Congress in 1928, consists of a complete and detailed investigation of the country's present and future forest resources in five major parts: (1) an inventory of the country's existing forest resources in terms of areas occupied by forest-cover types and of timber volumes, by species, in board feet and...

  7. Forest inventory and analysis data for FVS modelers

    Treesearch

    Patrick D. Miles

    2008-01-01

    The USDA Forest Service, Forest Inventory and Analysis (FIA) program has been in continuous operation for over 70 years. FIA’s primary objective is to determine the extent, condition, volume, growth, and depletion of timber on the Nation’s forest land. To accomplish this objective, FIA collects sample plot information on all ownerships across the United States.

  8. Estimating dead wood during national forest inventories: a review of inventory methodologies and suggestions for harmonization

    Treesearch

    Christopher W. Woodall; Jacques Rondeux; Pieter J. Verkerk; G& #246; ran St& #229; hl

    2009-01-01

    Efforts to assess forest ecosystem carbon stocks, biodiversity, and fire hazards have spurred the need for comprehensive assessments of forest ecosystem dead wood (DW) components around the world. Currently, information regarding the prevalence, status, and methods of DW inventories occurring in the world's forested landscapes is scattered. The goal of this study...

  9. Wisconsin's fourth forest inventory: area.

    Treesearch

    W. Brad Smith

    1986-01-01

    In 1983, the fourth Wisconsin forest inventory found 14.8 million acres of commercial forest land, an increase of nearly 2% since 1968. This bulletin analyzes findings from the inventory and presents detailed tables of forest area.

  10. Estimating dead wood during national forest inventories: a review of inventory methodologies and suggestions for harmonization

    Treesearch

    Christopher W. Woodall; Jacques Rondeux; Pieter J. Verkerk; Goran Stahl

    2009-01-01

    Efforts to assess forest ecosystem carbon stocks, biodiversity, and fire hazards have spurred the need for comprehensive assessments of forest ecosystem dead wood (DW) attributes around the world. Currently, information regarding the prevalence, status, and methods of DW inventories occurring in the world?s forested landscapes is scattered. The goal of this study is to...

  11. Michigan's Fourth Forest Inventory: Area.

    Treesearch

    John S. Jr. Spencer

    1983-01-01

    The fourth inventory of Michigan's forest resources found 17.5 million acres of commercial forest, down 7% from the 18.9 million found in 1966. This bulletin analyzes findings from the inventory and presents detailed tables of forest area.

  12. The role of pre-field operations at four forest inventory units: We can see the trees, not just the forest

    Treesearch

    Sara A. Goeking; Greg C. Liknes

    2009-01-01

    The Forest Inventory and Analysis (FIA) program attempts to inventory all forested lands throughout the United States. Each of the four FIA units has developed a process to minimize inventory costs by refraining from visiting those plots in the national inventory grid that are undoubtedly nonforest. We refer to this process as pre-field operations. Until recently, the...

  13. An overview of inventory and monitoring and the Role of FIA in National Assessments

    Treesearch

    W. Brad Smith

    2006-01-01

    This paper presents a brief conceptual overview of inventory and monitoring and the role of the Forest Inventory and Analysis (FIA) program in national assessments. FIA has become a focal point of national inventory and monitoring and kept national leadership as well as forest resource research and management professionals apprised, through periodic reports to Congress...

  14. Carbon stores, sinks, and sources in forests of northwestern Russia: can we reconcile forest inventories with remote sensing results?

    Treesearch

    Olga N. Krankina; Mark E. Harmon; Warren B. Cohen; Doug R. Oetter; Olga Zyrina; Maureen V. Duane

    2004-01-01

    Forest inventories and remote sensing are the two principal data sources used to estimate carbon (C) stocks and fluxes for large forest regions. National governments have historically relied on forest inventories for assessments but developments in remote sensing technology provide additional opportunities for operational C monitoring. The estimate of total C stock in...

  15. Forests of the Black Hills National Forest 2011

    Treesearch

    Brian F. Walters; Christopher W. Woodall; Ronald J. Piva; Mark A. Hatfield; Grant M. Domke; David E. Haugen

    2013-01-01

    This inventory of the Black Hills National Forest (BHNF) covers the years 2007-2011 on the South Dakota portion of the forest and 2005 on the Wyoming portion. It reports more than 1.16 million acres of forest land dominated by ponderosa pine. Forest features reported on include volume, biomass, growth, removals, mortality, carbon, snags, and down woody material, along...

  16. Estimating forest conversion rates with annual forest inventory data

    Treesearch

    Paul C. Van Deusen; Francis A. Roesch

    2009-01-01

    The rate of land-use conversion from forest to nonforest or natural forest to forest plantation is of interest for forest certification purposes and also as part of the process of assessing forest sustainability. Conversion rates can be estimated from remeasured inventory plots in general, but the emphasis here is on annual inventory data. A new estimator is proposed...

  17. 75 FR 67998 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Chattahoochee...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-11-04

    ... DEPARTMENT OF THE INTERIOR National Park Service Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Chattahoochee-Oconee National Forests, Gainesville, GA AGENCY... Agriculture, Forest Service, Chattahoochee-Oconee National Forests, Gainesville, GA. The human remains and...

  18. An annualized forest inventory for Nebraska

    Treesearch

    Hans T. Schreuder; Tom D. Wardle

    2000-01-01

    This paper addresses opportunities presented to states by an annualized forest inventory system, to be conducted by the Forest Inventory and Analysis program of the USDA Forest Service, and concerns about these inventories. The importance of a balanced approach in assessing timber and nontimber attributes is emphasized, and the paramount importance of maintaining and...

  19. Southeast Alaska forests: inventory highlights.

    Treesearch

    Sally Campbell; Willem W.S. van Hees; Bert. Mead

    2004-01-01

    This publication presents highlights of a recent southeast Alaska inventory and analysis conducted by the Pacific Northwest Research Station Forest Inventory and Analysis Program (USDA Forest Service). Southeast Alaska has about 22.9 million acres, of which two-thirds are vegetated. Almost 11 million acres are forest land and about 4 million acres have nonforest...

  20. Effects of Measurement Errors on Individual Tree Stem Volume Estimates for the Austrian National Forest Inventory

    Treesearch

    Ambros Berger; Thomas Gschwantner; Ronald E. McRoberts; Klemens Schadauer

    2014-01-01

    National forest inventories typically estimate individual tree volumes using models that rely on measurements of predictor variables such as tree height and diameter, both of which are subject to measurement error. The aim of this study was to quantify the impacts of these measurement errors on the uncertainty of the model-based tree stem volume estimates. The impacts...

  1. The fourth Minnesota forest inventory: area.

    Treesearch

    Pamela J. Jakes

    1980-01-01

    In 1977 the fourth Minnesota Forest Inventory found 13.7 million acres of commercial forest land, down 11% from that reported in 1962. This bulletin analyzes finding from the inventory and presents detailed tables of forest area.

  2. 77 FR 32993 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Rio Grande...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-04

    ... Inventory Completion: U.S. Department of Agriculture, Forest Service, Rio Grande National Forest, CO AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The U.S. Department of Agriculture, Forest.... Department of Agriculture, Forest Service, Rio Grande National Forest, 1803 W. Highway 160, Monte Vista, CO...

  3. A statistical power analysis of woody carbon flux from forest inventory data

    Treesearch

    James A. Westfall; Christopher W. Woodall; Mark A. Hatfield

    2013-01-01

    At a national scale, the carbon (C) balance of numerous forest ecosystem C pools can be monitored using a stock change approach based on national forest inventory data. Given the potential influence of disturbance events and/or climate change processes, the statistical detection of changes in forest C stocks is paramount to maintaining the net sequestration status of...

  4. Tracking our Nation's vital forest resources

    Treesearch

    Southern Research Station USDA Forest Service

    2007-01-01

    Since the 1930s, the Forest Inventory and Analysis (FIA) program of the United States Department of Agriculture Forest Service has been tracking forest extent, health, vitality, and contributions to the national and global timber supply. Our field, office, and administrative staff are dedicated to helping foresters, wildlife biologists, universities, non-governmental...

  5. Automatic crown cover mapping to improve forest inventory

    Treesearch

    Claude Vidal; Jean-Guy Boureau; Nicolas Robert; Nicolas Py; Josiane Zerubia; Xavier Descombes; Guillaume Perrin

    2009-01-01

    To automatically analyze near infrared aerial photographs, the French National Institute for Research in Computer Science and Control developed together with the French National Forest Inventory (NFI) a method for automatic crown cover mapping. This method uses a Reverse Jump Monte Carlo Markov Chain algorithm to locate the crowns and describe those using ellipses or...

  6. South-central Alaska forests: inventory highlights.

    Treesearch

    Sally Campbell; Willem W.S. van Hees; Bert. Mead

    2005-01-01

    This publication presents highlights of a recent south-central Alaska inventory conducted by the Pacific Northwest Research Station Forest Inventory and Analysis Program (USDA Forest Service). South-central Alaska has about 18.5 million acres, of which one-fifth (4 million acres) is forested. Species diversity is greatest in closed and open Sitka spruce forests, spruce...

  7. 78 FR 34128 - Notice of Inventory Completion: U.S. Department of Agriculture, U.S. Forest Service, San Juan...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-06-06

    ... DEPARTMENT OF THE INTERIOR National Park Service [NPS-WASO-NAGPRA-13012; PPWOCRADN0-PCU00RP14.R50000] Notice of Inventory Completion: U.S. Department of Agriculture, U.S. Forest Service, San Juan.... Department of Agriculture (USDA), Forest Service, San Juan National Forest has completed an inventory of...

  8. Trend analyses and projections using national forest inventory data

    Treesearch

    Greg C. Liknes; Randall S. Morin; Charles D. Canham

    2013-01-01

    We present a collection of papers derived from the 2012 Forest Inventory and Analysis (FIA) Symposium held on December 4-6, 2012 in Baltimore, MD, USA. The symposium featured 128 oral presentations with nearly 200 attendees from the United States and other countries. A proceedings from the symposium included 75 papers as well as abstracts for all presentations and...

  9. Kentucky, 2007 forest inventory and analysis factsheet

    Treesearch

    Christopher M. Oswalt; Christopher R. King; Tony G. Johnson

    2010-01-01

    This science update provides an overview of the forest resource attributes of Kentucky. The overview is based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station of the USDA Forest Service. The inventory, along with Web-posted supplemental tables, will be updated annually.

  10. 75 FR 70026 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Pacific Northwest...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-11-16

    ... DEPARTMENT OF THE INTERIOR National Park Service [2253-665] Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Pacific Northwest Region, Gifford Pinchot National Forest... the U.S. Department of Agriculture, Forest Service, Pacific Northwest Region, Gifford Pinchot National...

  11. An enhanced forest classification scheme for modeling vegetation-climate interactions based on national forest inventory data

    NASA Astrophysics Data System (ADS)

    Majasalmi, Titta; Eisner, Stephanie; Astrup, Rasmus; Fridman, Jonas; Bright, Ryan M.

    2018-01-01

    Forest management affects the distribution of tree species and the age class of a forest, shaping its overall structure and functioning and in turn the surface-atmosphere exchanges of mass, energy, and momentum. In order to attribute climate effects to anthropogenic activities like forest management, good accounts of forest structure are necessary. Here, using Fennoscandia as a case study, we make use of Fennoscandic National Forest Inventory (NFI) data to systematically classify forest cover into groups of similar aboveground forest structure. An enhanced forest classification scheme and related lookup table (LUT) of key forest structural attributes (i.e., maximum growing season leaf area index (LAImax), basal-area-weighted mean tree height, tree crown length, and total stem volume) was developed, and the classification was applied for multisource NFI (MS-NFI) maps from Norway, Sweden, and Finland. To provide a complete surface representation, our product was integrated with the European Space Agency Climate Change Initiative Land Cover (ESA CCI LC) map of present day land cover (v.2.0.7). Comparison of the ESA LC and our enhanced LC products (https://doi.org/10.21350/7zZEy5w3) showed that forest extent notably (κ = 0.55, accuracy 0.64) differed between the two products. To demonstrate the potential of our enhanced LC product to improve the description of the maximum growing season LAI (LAImax) of managed forests in Fennoscandia, we compared our LAImax map with reference LAImax maps created using the ESA LC product (and related cross-walking table) and PFT-dependent LAImax values used in three leading land models. Comparison of the LAImax maps showed that our product provides a spatially more realistic description of LAImax in managed Fennoscandian forests compared to reference maps. This study presents an approach to account for the transient nature of forest structural attributes due to human

  12. Implementing a national process for estimating growth, removals, and mortality at the Pacific Northwest’s Forest Inventory and Analysis’s Region: modeling diameter growth

    Treesearch

    Olaf. Kuegler

    2015-01-01

    The Pacific Northwest Research Station’s Forest Inventory and Analysis Unit began remeasurement of permanently located FIA plots under the annualized design in 2011. With remeasurement has come the need to implement the national FIA system for compiling estimates of forest growth, removals, and mortality. The national system requires regional diameter-growth models to...

  13. 78 FR 2436 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Ozark-St. Francis...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-01-11

    ... DEPARTMENT OF THE INTERIOR National Park Service [NPS-WASO-NAGPRA-11885; 2200-1100-665] Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Ozark-St. Francis National Forests... U.S. Department of Agriculture (USDA), Forest Service, Ozark-St. Francis National Forests has...

  14. Joint Annual Forest Inventory and Monitoring System

    Treesearch

    Ronald E. McRoberts

    1999-01-01

    The Renewable Forest and Rangeland Resources Planning Act of 1978 requires that the USDA Forest Service conduct periodic inventories of forestland in the United States to determine its extent and condition and the volume of standing timber, timber growth, and timber depletions. Five separate Forest Inventory and Analysis (FIA) programs, located in USDA Forest Service...

  15. A New Annual Forest Inventory System for the South

    Treesearch

    Noel D. Cost

    1999-01-01

    The author and director of the Southern Annual Forest Inventory System (SAFIS) details the Forest Service’s Forest Inventory and Analysis program and the demand for more timely and reliable forest inventory data that led to the new annual inventory program. Cost discusses the research and implementation of SAFIS and the benefits the program has already produced.

  16. A national analytical quality assurance program: Developing guidelines and analytical tools for the forest inventory and analysis program

    Treesearch

    Phyllis C. Adams; Glenn A. Christensen

    2012-01-01

    A rigorous quality assurance (QA) process assures that the data and information provided by the Forest Inventory and Analysis (FIA) program meet the highest possible standards of precision, completeness, representativeness, comparability, and accuracy. FIA relies on its analysts to check the final data quality prior to release of a State’s data to the national FIA...

  17. Technical aspects of the forest carbon inventory of the United States: recent past and near future

    Treesearch

    Christopher W. Woodall; James E. Smith; Grant M. Domke; Sean P. Healey; John W. Coulston; Andrew N. Gray

    2012-01-01

    The Forest Inventory and Analysis program of the U.S. Forest Service has explicitly assumed responsibility for providing an inventory of the U.S. forests' carbon stocks and stock change to the U.S. Environmental Protection Agency for numerous years to meet obligations to the United Nations Framework Convention on Climate Change. Recent improvements, plans for the...

  18. The status of North Carolina's national forests, 2002

    Treesearch

    Sonja N. Oswalt; Tony G. Johnson

    2007-01-01

    This bulletin describes forest resources of the Pisgah/Cherokee, Nantahala, Croatan, and Uwharrie National Forests in the State of North Carolina. It is based on sampling conducted by the U.S. Department of Agriculture Forest Service, Southern Research Station, Forest Inventory and Analysis Research Work Unit. This bulletin addresses forest area estimates; timber...

  19. Assessing removals for North Central forest inventories.

    Treesearch

    W. Brad Smith

    1991-01-01

    Discusses method used by the Forest Inventory and Analysis Unit for estimating timber removals. Presents the relationship of timber utilization studies, primary lumber mill studies, and forest inventory data.

  20. 78 FR 11677 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Apache-Sitgreaves...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-02-19

    ... DEPARTMENT OF THE INTERIOR National Park Service [NPS-WASO-NAGPRA-12186; 2200-1100-665] Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Apache-Sitgreaves National Forests.... ACTION: Notice. SUMMARY: The U.S. Department of Agriculture (USDA), Forest Service, Apache-Sitgreaves...

  1. Using Forest Service forest inventory and analysis data to estimate regional oak decline and oak mortality

    Treesearch

    Kathryn W. Kromroy; Jennifer Juzwik; Paul Castillo; Mark H. Hansen

    2008-01-01

    Damage and mortality data are collected as part of the US Forest Service, Forest Inventory and Analysis (FIA) ongoing assessments of the nation's timberlands. The usefulness and value of FIA tree data in assessing historical levels of oak decline and oak mortality were investigated for seven Midwestern states. The data were collected during two periodic...

  2. National forest change monitoring system in South Korea: an analysis of forest tree species distribution shifts

    Treesearch

    Eun-Sook Kim; Cheol-Min Kim; Jisun Lee; Jong-Su Yim

    2015-01-01

    Since 1971, South Korea has implemented national forest inventory (NFI) in pursuance of understanding current state and change trend of national forest resources. NFI1 (1971~1975), NFI2 (1978~1981), NFI3 (1986~1992) and NFI4 (1996~2005) were implemented in order to produce national forest resources statistics. However, since the early 1990s, international conventions...

  3. 77 FR 57113 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Arapaho and...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-09-17

    ... DEPARTMENT OF THE INTERIOR National Park Service [NPS-WASO-NAGPRA-11058; 2200-1100-665] Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Arapaho and Roosevelt National Forest...: Notice. SUMMARY: The U.S. Department of Agriculture (USDA), Forest Service, Arapaho and Roosevelt...

  4. A comparison of sample unit designs in the national inventory of the U.S.

    Treesearch

    B. E. Borders; G. H. Brister; N. Grahl; B. D. Shiver; C. J. Cieszewski

    2000-01-01

    The Forest Inventory and Analysis (FIA) program of the USDA Forest Service has adopted a new sampling unit for the national forest inventory of the U.S. We compared this new sampling unit with five other sampling units. Data from natural loblolly pine (Pinus taeda L.) stands in the Georgia piedmont show that all sample units produce reasonable...

  5. Proceedings of the second annual Forest Inventory and Analysis symposium; Salt Lake City, UT. October 17-18, 2000

    Treesearch

    Gregory A. Reams; Ronald E. McRoberts; Paul C. van Deusen; [Editors

    2001-01-01

    Documents progress in developing techniques in remote sensing, statistics, information management, and analysis required for full implementation of the national Forest Inventory and Analysis program’s annual forest inventory system.

  6. Analysis of growth trend changes for 51 temperate tree species using Korea national forest inventory data

    NASA Astrophysics Data System (ADS)

    Park, M.; Moon, M.; Park, J.; Cho, S.; Kim, H. S.

    2016-12-01

    Individual tree growth rates can be affected by various factors such as species, soil fertility, stand development stage, disturbance, and climate etc. To estimate the effect of changes in tree growth rate on the structure and functionality of forest ecosystem in the future, we analyzed the change of species-specific growth trends using the fifth Korea national forest inventory data, which was collected from 2006 to 2010. The ring samples of average tree were collected from nationwide inventory plots and the total number of individual tree ring series was 69,128 covering 185 tree species. Among those, fifty one species with more than 100 tree ring series were used for our analysis. For growth-trend analysis, standardized regional curves of individual species growth were generated from three forest zone in South Korea; subarctic, cool temperate, warm temperate forest zone. Then individual tree ring series was indexed by dividing the growth of the tree by expected growth from standardized regional curves. Then the ratio of all tree ring series were aligned by year and the Spearman's correlation coefficient of each species was calculated. The results show that most of species had increasing growth rates as forests developed after Korean war. For the last thirty years, 67.3% of species including Quercus spp. and Zelkova serrata had positive growth trends, on the other hand, 11.5% of species including Pinus spp. showed negative growth trends probably due to the changes in successional stages in Korean forests and climate change. These trends also vary with climate zone and species. For examples, Pinus densiflora, which showed negative growth trend overall, had steep negative growth trends in boreal and temperate zone, whereas it showed no specific trend in sub-tropical climate zone. Our trend analysis on 51 temperate tree species growth will be essential to predict the temperate forests species change for the this century.

  7. Forest inventory and analysis in the United States: remote sensing and geospatial activities

    Treesearch

    Mark Nelson; Gretchen Moisen; Mark Finco

    2007-01-01

    Our Nation's forests provide a wealth of ecological, social, and economic resources. These forest lands cover over 300 million hectares of the United States, or about one third of the total land area. Accurate and timely information about them is essential to their wise management and use. The mission of the Forest Service's Forest Inventory and Analysis (FIA...

  8. Forest Inventory and Analysis in the United States: Remote sensing and geospatial activities

    Treesearch

    Mark Nelson; Gretchen Moisen; Mark Finco

    2007-01-01

    Our Nation's forests provide a wealth of ecological, social, and economic resources. These forest lands cover over 300 million hectares of the United States, or about one third of the total land area. Accurate and timely information about them is essential to their wise management and use. The mission of the Forest Service's Forest Inventory and Analysis (FIA...

  9. Time as a dimension of the sample design in national-scale forest inventories

    Treesearch

    Francis Roesch; Paul Van Deusen

    2013-01-01

    Historically, the goal of forest inventories has been to determine the extent of the timber resource. Predictions of how the resource was changing were made by comparing differences between successive inventories. The general view of the associated sample design was with selection probabilities based on land area observed at a discrete point in time. Time was not...

  10. Kentucky, 2011-forest inventory and analysis factsheet

    Treesearch

    Christopher M. Oswalt

    2013-01-01

    This science update provides an overview of forest resource attributes for the Commonwealth of Kentucky based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station of the United States Department of Agriculture Forest Service in cooperation with the Kentucky Department of Natural Resources Division of...

  11. Tennessee, 2011-forest inventory and analysis factsheet

    Treesearch

    Christopher M. Oswalt

    2013-01-01

    This science update provides an overview of forest resource attributes for the State of Tennessee based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station of the United States Department of Agriculture Forest Service in cooperation with the Tennessee Department of Agriculture Division of Forestry. These...

  12. Mississippi, 2010 forest inventory and analysis factsheet

    Treesearch

    S.N. Oswalt; J. Bentley

    2011-01-01

    This science update provides an overview of forest resources in Mississippi based on an inventory conducted by the U.S. Department of Agriculture Forest Service, Forest Inventory and Analysis (FIA) program at the Southern Research Station in cooperation with the Mississippi Forestry Commission. This update compares data from the periodic 2006 survey (field dates 2005...

  13. Mississippi, 2012 forest inventory and analysis factsheet

    Treesearch

    Sonja N. Oswalt

    2013-01-01

    This science update provides an overview of forest resources in Mississippi based on an inventory conducted by the U.S. Department of Agriculture Forest Service, Forest Inventory and Analysis (FIA) program at the Southern Research Station in cooperation with the Mississippi Forestry Commission. Data estimates are based on field data collected using the FIA annualized...

  14. Mississippi, 2011 forest inventory and analysis factsheet

    Treesearch

    Sonja N. Oswalt

    2013-01-01

    This science update provides an overview of forest resources in Mississippi based on an inventory conducted by the U.S. Department of Agriculture Forest Service, Forest Inventory and Analysis (FIA) program at the Southern Research Station in cooperation with the Mississippi Forestry Commission. Data estimates are based on field data collected using the FIA annualized...

  15. Tennessee, 2008 forest inventory and analysis factsheet

    Treesearch

    Christopher Oswalt; Christopher King

    2011-01-01

    This publication provides an overview of forest resource attributes for the State of Tennessee based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station of the United States Department of Agriculture Forest Service in cooperation with the Tennessee Department of Agriculture Division of Forestry. These...

  16. Options for sampling and stratification for national forest inventories to implement REDD+ under the UNFCCC

    PubMed Central

    2010-01-01

    Background Developing countries that are willing to participate in the recently adopted (16th Session of the Conference of Parties (COP) in Cancun) mitigation mechanism of Reducing emissions from Deforestation and Forest Degradation - and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks (REDD+) - will have to establish a national forest monitoring system in order to assess anthropogenic forest-related greenhouse gas emissions by sources and removals by sinks. Such a system should support the Measurement, Reporting and Verification (MRV) requirement of the United Nations Framework Convention on Climate Change (UNFCCC) as the REDD+ mechanism is results-based. A national forest inventory (NFI) is one potential key component of such an MRV system. Following the Decision adopted during the 15th Session of the COP in Copenhagen, the most recent Intergovernmental Panel on Climate Change (IPCC) Guidance and Guidelines should be used as a basis for estimating anthropogenic forest-related greenhouse gas emissions by sources and removals by sinks and changes in forest carbon stocks and area. Results First, we present the key indispensable elements of the IPCC Guidance and Guidelines that have been developed to fulfil the UNFCCC reporting requirements. This is done in order to set the framework to develop the MRV requirement in which a NFI for REDD+ implementation could be developed. Second, within this framework, we develop and propose a novel scheme for the stratification of forest land for REDD+. Finally, we present some non-exhaustive optional elements within this framework that a country could consider to successfully operationalise and implement its REDD+ NFI. Conclusion Evidently, both the methodological guidance and political decisions on REDD+ under the UNFCCC will continue to evolve. Even so, and considering that there exists decades of experience in setting up traditional NFIs, developing a NFI that a country may

  17. Puerto Rico's forest inventory: adapting the forest inventory and analysis program to a Caribbean island.

    Treesearch

    T. J. Brandeis

    2003-01-01

    Rapid Changes in vegetation over short distances, high species diversity, and fragmented landscape challege the implementation of the Forest service's Forest inventory and Analysis (FIA)program on Puerto Rico. Applying the hexagonal FIA grid as used on the continental United States, the Forest service is installing a new forest sampling and monitoring framework...

  18. Timber resource statistics for all forest land, except national forests, in eastern Oregon.

    Treesearch

    Donald R. Gedney; Patricia M. Bassett; Mary A. Mei

    1989-01-01

    This report summarizes a 1987 timber resource inventory of all forest land, except National Forests, in the 17 counties (Baker, Crook, Deschutes, Gilliam, Grant, Harney, Jefferson, Klamath, Lake, Malheur, Morrow, Sherman, Umatilla, Union, Wallowa, Wasco, and Wheeler Counties) in eastern Oregon. Detailed tables of forest area, timber volume, growth, mortality, and...

  19. Tennessee, 2010 forest inventory and analysis factsheet

    Treesearch

    Christopher M. Oswalt

    2012-01-01

    This science update provides an overview of forest resource attributes for the State of Tennessee based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station of the U.S. Department of Agriculture Forest Service in cooperation with the Tennessee Department of Agriculture Division of Forestry. These annual...

  20. Louisiana, 2010 forest inventory and analysis factsheet

    Treesearch

    Sonja N. Oswalt; Tony G. Johnson

    2012-01-01

    This science update provides an overview of forest resources in Louisiana based on an inventory conducted by the U.S. Department of Agriculture Forest Service, Forest Inventory and Analysis (FIA) program at the Southern Research Station. This update compares data from the 2005 periodic and 2010 annualized data. The 2010 annualized data consists of 70 percent data...

  1. Assessing the effect of snow/water obstructions on the measurement of tree seedlings in a large-scale temperate forest inventory

    Treesearch

    C.W. Woodall; J.A. Westfall; K. Zhu; D.J. Johnson

    2013-01-01

    National-scale forest inventories have endeavoured to include holistic measurements of forest health inclusive of attributes such as downed dead wood and tree regeneration that occur in the forest understory. Inventories may require year-round measurement of inventory plots with some of these measurements being affected by seasonal obstructions (e.g. snowpacks and...

  2. Considerations in Forest Growth Estimation Between Two Measurements of Mapped Forest Inventory Plots

    Treesearch

    Michael T. Thompson

    2006-01-01

    Several aspects of the enhanced Forest Inventory and Analysis (FIA) program?s national plot design complicate change estimation. The design incorporates up to three separate plot sizes (microplot, subplot, and macroplot) to sample trees of different sizes. Because multiple plot sizes are involved, change estimators designed for polyareal plot sampling, such as those...

  3. Texas, 2008 forest inventory and analysis factsheet

    Treesearch

    James Bentley

    2011-01-01

    This science update summarizes the findings of the first statewide annual inventory conducted by the Southern Forest Inventory and Analysis (FIA) Program in cooperation with the Texas Forest Service of the forest resource attributes in Texas. The 254 counties of Texas are consolidated into seven FIA survey units—southeast (unit 1), the northeast (unit 2), the north...

  4. Forest Resources of Isle Royale National Park 2010

    Treesearch

    Wilfred J. Previant; Linda M. Nagel; Scott A. Pugh; Christopher W. Woodall

    2012-01-01

    This publication provides a baseline overview of forest resources for Isle Royale National Park (Isle Royale) using data from the Forest Inventory and Analysis (FIA) Program of the U.S. Department of Agriculture, Forest Service. The availability of permanent FIA plots allows for the first-ever comparison of Isle Royale's forest conditions (2006-2010) to reserved...

  5. Using SaTScanTM spatial-scan software with national forest inventory data: a case study in South Carolina

    Treesearch

    KaDonna Randolph

    2017-01-01

    The USDA Forest Service Forest Inventory and Analysis (FIA) program makes and keeps current an inventory of all forest land in the United States. To comply with privacy laws while at the same time offering its data to the public, FIA makes approximate plot locations available through a process known as perturbing ("fuzzing") and swapping. The free spatial...

  6. Cooperative Alaska Forest Inventory

    Treesearch

    Thomas Malone; Jingjing Liang; Edmond C. Packee

    2009-01-01

    The Cooperative Alaska Forest Inventory (CAFI) is a comprehensive database of boreal forest conditions and dynamics in Alaska. The CAFI consists of field-gathered information from numerous permanent sample plots distributed across interior and south-central Alaska including the Kenai Peninsula. The CAFI currently has 570 permanent sample plots on 190 sites...

  7. Communicating the story of silviculture on the Allegheny National Forest

    Treesearch

    Lois M. DeMarco; Susan L. Stout

    1997-01-01

    To communicate the story of silviculture on the Allegheny National Forest, we need to distinguish silviculture-the art and science of manipulating forest vegetation to achieve management objectives-from forest management. During the field trip for the National Silviculture Workshop we visited five sites that demonstrate how inventory and monitoring, resource management...

  8. The utility of the cropland data layer for Forest Inventory and Analysis

    Treesearch

    Greg C. Liknes; Mark D. Nelson; Dale D. Gormanson; Mark Hansen

    2009-01-01

    The Forest Service, U.S. Department of Agriculture's (USDA's) Northern Research Station Forest Inventory and Analysis program (NRS-FIA) uses digital land cover products derived from remotely sensed imagery, such as the National Land Cover Dataset (NLCD), for the purpose of variance reduction via postsampling stratification. The update cycle of the NLCD...

  9. A primer on stand and forest inventory designs

    Treesearch

    H. Gyde Lund; Charles E. Thomas

    1989-01-01

    Covers designs for the inventory of stands and forests in detail and with worked-out examples. For stands, random sampling, line transects, ricochet plot, systematic sampling, single plot, cluster, subjective sampling and complete enumeration are discussed. For forests inventory, the main categories are subjective sampling, inventories without prior stand mapping,...

  10. Invasive plants found in Tennessee forests, 2009 forest inventory and analysis factsheet

    Treesearch

    Sonja N. Oswalt; Christopher M. Oswalt

    2011-01-01

    This science update provides an overview of nonnative invasive plants found in forests of the State of Tennessee based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station of the U.S. Department of Agriculture Forest Service in cooperation with the Tennessee Department of Agriculture Division of Forestry....

  11. Invasive plants found in Mississippi forests, 2009 forest inventory and analysis factsheet

    Treesearch

    Sonja N. Oswalt; Christopher M. Oswalt

    2011-01-01

    This science update provides information on nonnative invasive plants in Mississippi’s forest land based on an annual inventory conducted by the U.S. Department of Agriculture Forest Service, Forest Inventory and Analysis (FIA) program at the Southern Research Station in cooperation with the Mississippi Forestry Commission. These estimates and coverage maps will be...

  12. Invasive plants found in Virginia forests, 2010 - forest inventory and analysis factsheet

    Treesearch

    Christopher M. Oswalt; Sonja N. Oswalt

    2013-01-01

    This publication provides an overview of invasive plants found in forests of the State of Virginia based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station (SRS) of the Forest Service, U.S. Department of Agriculture in cooperation with the Virginia Department of Forestry. These estimates and coverage...

  13. Invasive plants found in Kentucky forests, 2009 forest inventory and analysis factsheet

    Treesearch

    Christopher M. Oswalt; Sonja N. Oswalt

    2012-01-01

    This publication provides an overview of nonnative invasive plants found in forests of the Commonwealth of Kentucky based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station of the U.S. Department of Agriculture Forest Service in cooperation with the Kentucky Division of Forestry. These estimates and...

  14. Invasive plants found in Alabama forests, 2009 forest inventory and analysis factsheet

    Treesearch

    Christopher M. Oswalt; Sonja N. Oswalt

    2012-01-01

    This publication provides an overview of nonnative invasive plants found in forests of the State of Alabama based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station of the U.S. Department of Agriculture Forest Service in cooperation with the Alabama Forestry Commission. These estimates and coverage maps...

  15. Estimating down deadwood from FIA forest inventory variables in Maine

    Treesearch

    David C. Chojnacky; Linda S. Heath

    2002-01-01

    Down deadwood (DDW) is a carbon component important in the function and structure of forest ecosystems, but estimating DDW is problematic because these data are not widely available in forest inventory databases. However, DDW data were collected on USDA Forest Service Forest Inventory and Analysis (FIA) plots during Maine's 1995 inventory. This study examines ways...

  16. Effects of different definitions on forest area estimation in national forest inventories in Europe

    Treesearch

    Berthold Traub; Michael Kohl; Risto Paivinen; Olaf Kugler

    2000-01-01

    International forest statistics such as those provided by the UN/ECE-FAO Temperate and Boreal Forest Resource Assessment (TBFRA) are typically compiled from national surveys. However, the national systems of nomenclature as well as the definition of the attributes often vary considerably. The European Commission, DG VI, initiated a study to investigate the potential of...

  17. Annual Forest Inventory: An Industry Perspective

    Treesearch

    Roger Lord

    2000-01-01

    The Forest Inventory and Analysis Program serves important public interests by providing credible data for informed public forest policy debates as well as feedback to the forest-based economic market. This feedback, which affects timber price expectations, helps ensure resource sustainability by promoting better investment decision making within the forest products...

  18. Analysis of conifer mortality in Colorado using Forest Inventory and Analysis's annual forest inventory

    Treesearch

    Michael T. Thompson

    2009-01-01

    Aerial detection surveys indicate that widespread conifer mortality has been steadily increasing in Colorado, particularly since 2002. The Forest Inventory and Analysis (FIA) annual inventory system began in Colorado in 2002, which coincided with the onset of elevated conifer mortality rates. The current mortality event coupled with collection of 6 years of annual...

  19. Cartographic standards to improve maps produced by the Forest Inventory and Analysis program

    Treesearch

    Charles H. (Hobie) Perry; Mark D. Nelson

    2009-01-01

    The Forest Service, U.S. Department of Agriculture's Forest Inventory and Analysis (FIA) program is incorporating an increasing number of cartographic products in reports, publications, and presentations. To create greater quality and consistency within the national FIA program, a Geospatial Standards team developed cartographic design standards for FIA map...

  20. Invasive plants found in east Texas forests, 2009 forest inventory and analysis factsheet

    Treesearch

    Sonja N. Oswalt; Christopher M. Oswalt

    2011-01-01

    This science update provides information on the presence and cover of nonnative invasive plants found in forests of the eastern region of the State of Texas based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station of the U.S. Department of Agriculture Forest Service in cooperation with the Texas Forest...

  1. The use of remote sensing for updating extensive forest inventories

    Treesearch

    John F. Kelly

    1990-01-01

    The Forest Inventory and Analysis unit of the USDA Forest Service Southern Forest Experiment Station (SO-FIA) has the research task of devising an inventory updating system that can be used to provide reliable estimates of forest area, volume, growth, and removals at the State level. These updated inventories must be accomplished within current budgetary restraints....

  2. Integration of strategic inventory and monitoring programs for the forest lands, wood lands, range lands and agricultural lands of the United States

    Treesearch

    Raymond L. Czaplewski

    1999-01-01

    The United States Department of Agriculture uses the Forest Inventory and Analysis (FIA) program to monitor the nation's forests and wood lands, and the National Resources Inventory (NRI) program to monitor the nation's agricultural and range lands. Although their measurement methods and sampling frames are very different, both programs are developing annual...

  3. Kentucky, 2010—forest inventory and analysis factsheet

    Treesearch

    Christopher M. Oswalt

    2012-01-01

    This publication provides an overview of forest resource attributes for the Commonwealth of Kentucky based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station of the U.S. Department of Agriculture Forest Service in cooperation with the Kentucky Department of Natural Resources Division of Forestry. These...

  4. Forest/non-forest mapping using inventory data and satellite imagery

    Treesearch

    Ronald E. McRoberts

    2002-01-01

    For two study areas in Minnesota, USA, one heavily forested and one sparsely forested, maps of predicted proportion forest area were created using Landsat Thematic Mapper imagery, forest inventory plot data, and two prediction techniques, logistic regression and a k-Nearest Neighbours technique. The maps were used to increase the precision of forest area estimates by...

  5. The Forest Inventory and Analysis Database: Database description and users manual version 4.0 for Phase 2

    Treesearch

    Sharon W. Woudenberg; Barbara L. Conkling; Barbara M. O' Connell; Elizabeth B. LaPoint; Jeffery A. Turner; Karen L. Waddell

    2010-01-01

    This document is based on previous documentation of the nationally standardized Forest Inventory and Analysis database (Hansen and others 1992; Woudenberg and Farrenkopf 1995; Miles and others 2001). Documentation of the structure of the Forest Inventory and Analysis database (FIADB) for Phase 2 data, as well as codes and definitions, is provided. Examples for...

  6. Methods and equations for estimating aboveground volume, biomass, and carbon for trees in the U.S. forest inventory, 2010

    Treesearch

    Christopher W. Woodall; Linda S. Heath; Grant M. Domke; Michael C. Nichols

    2011-01-01

    The U.S. Forest Service, Forest Inventory and Analysis (FIA) program uses numerous models and associated coefficients to estimate aboveground volume, biomass, and carbon for live and standing dead trees for most tree species in forests of the United States. The tree attribute models are coupled with FIA's national inventory of sampled trees to produce estimates of...

  7. Oklahoma, 2011 - forest inventory and analysis factsheet

    Treesearch

    Jason A. Cooper

    2013-01-01

    This science update summarizes the findings of the statewide annual inventory of the forest resource attributes in Oklahoma conducted by the Southern Forest Inventory and Analysis (FIA) program in cooperation with the Oklahoma Forestry Services. The 77 counties of Oklahoma are consolidated into seven FIA survey units— southeast (unit 1), northeast (unit 2), north...

  8. Mapping site index and volume increment from forest inventory, Landsat, and ecological variables in Tahoe National Forest, California, USA

    USGS Publications Warehouse

    Huang, Shengli; Ramirez, Carlos; Conway, Scott; Kennedy, Kama; Kohler, Tanya; Liu, Jinxun

    2016-01-01

    High-resolution site index (SI) and mean annual increment (MAI) maps are desired for local forest management. We integrated field inventory, Landsat, and ecological variables to produce 30 m SI and MAI maps for the Tahoe National Forest (TNF) where different tree species coexist. We converted species-specific SI using adjustment factors. Then, the SI map was produced by (i) intensifying plots to expand the training sets to more climatic, topographic, soil, and forest reflective classes, (ii) using results from a stepwise regression to enable a weighted imputation that minimized the effects of outlier plots within classes, and (iii) local interpolation and strata median filling to assign values to pixels without direct imputations. The SI (reference age is 50 years) map had an R2 of 0.7637, a root-mean-square error (RMSE) of 3.60, and a mean absolute error (MAE) of 3.07 m. The MAI map was similarly produced with an R2 of 0.6882, an RMSE of 1.73, and a MAE of 1.20 m3·ha−1·year−1. Spatial patterns and trends of SI and MAI were analyzed to be related to elevation, aspect, slope, soil productivity, and forest type. The 30 m SI and MAI maps can be used to support decisions on fire, plantation, biodiversity, and carbon.

  9. East Texas, 2011 forest inventory and analysis factsheet

    Treesearch

    Jason A. Cooper; James W. Bentley

    2012-01-01

    This science update summarizes the findings of the annual inventory conducted by the Southern Forest Inventory and Analysis (FIA) Program in cooperation with the Texas Forest Service of the forest resource attributes in east Texas. The 254 counties of Texas are consolidated into 7 FIA survey units—southeast (unit 1), northeast (unit 2), north central (unit 3), south (...

  10. Soil Quality as an Indicator of Forest Health: an Overview and Initial Results from the USFS Forest Inventory and Analysis Soil Indicator Program

    Treesearch

    Katherine O' Neill; Michael Amacher; Craig Palmer; Barbara Conkling; Greg C. Liknes

    2003-01-01

    The Montreal Process was formed in 1994 to develop an internationally agreed upon set of criteria and indicators for the conservation and sustainable management of temperate and boreal forests. In response to this effort, the USDA Forest Service Forest Inventory and Analysis (FIA) and Forest Health Monitonhg (FHM) programs implemented a national soil monitoring program...

  11. Proceedings of the eighth annual forest inventory and analysis symposium

    Treesearch

    Ronald E. McRoberts; Gregory A. Reams; Paul C. Van Deusen; William H., eds. McWilliams

    2009-01-01

    Documents contributions to forest inventory in the areas of sampling, remote sensing, modeling, information management and analysis for the Forest Inventory and Analysis program of the Forest Service.

  12. Proceedings of the fourth annual Forest Inventory and Analysis symposium

    Treesearch

    Ronald E. McRoberts; Gregory A Reams; Paul C. Van Deusen; William H. McWilliams; Chris J. Cieszewski; Chris J., eds. Cieszewski

    2005-01-01

    Documents contributions to forest inventory in the areas of sampling, remote sensing, modeling, information management and analysis for the Forest Inventory and Analysis program of the USDA Forest Service.

  13. Proceedings of the seventh annual forest inventory and analysis symposium

    Treesearch

    Ronald E. McRoberts; Gregory A. Reams; Paul C. Van Deusen; William H., eds. McWilliams

    2007-01-01

    Documents contributions to forest inventory in the areas of sampling, remote sensing, modeling, information management and analysis for the Forest Inventory and Analysis program of the USDA Forest Service.

  14. Proceedings of the sixth annual forest inventory and analysis symposium

    Treesearch

    Ronald E. McRoberts; Gregory A. Reams; Paul C. Van Duesen; William H., eds. McWilliams

    2006-01-01

    Documents contributions to forest inventory in the area of sampling, remote sensing, modeling, information management, and analysis for the Forest Inventory and Analysis program of the USDA Forest Service.

  15. Invasive plants found in Georgia’s forests, 2010 - forest inventory and analysis factsheet

    Treesearch

    Sonja N. Oswalt; Christopher M. Oswalt

    2014-01-01

    This science update provides an overview of invasive plants found in forests of the State of Georgia based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station (SRS) of the U.S. Department of Agriculture, Forest Service in cooperation with the Georgia Forestry Commission. These estimates and coverage maps...

  16. Invasive plants found in Oklahoma’s forests, 2010 - forest inventory and analysis factsheet

    Treesearch

    Sonja N. Oswalt; Christopher M. Oswalt

    2014-01-01

    This science update provides an overview of nonnative invasive plants found in Oklahoma forests based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station (SRS) of the U.S. Department of Agriculture Forest Service in cooperation with the Oklahoma Forestry Services. These estimates and coverage maps will be...

  17. Integrating LIDAR and forest inventories to fill the trees outside forests data gap

    Treesearch

    Kristofer D. Johnson; Richard Birdsey; Jason Cole; Anu Swatantran; Jarlath O' Neil-Dunne; Ralph Dubayah; Andrew Lister

    2015-01-01

    Forest inventories are commonly used to estimate total tree biomass of forest land even though they are not traditionally designed to measure biomass of trees outside forests (TOF). The consequence may be an inaccurate representation of all of the aboveground biomass, which propagates error to the outputs of spatial and process models that rely on the inventory data....

  18. Invasive plants found in South Carolina forests, 2010 forest inventory and analysis factsheet

    Treesearch

    Christopher M. Oswalt; Sonja N. Oswalt

    2012-01-01

    This publication provides an overview of nonnative invasive plants found in forests of the State of South Carolina based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station (SRS) of the U.S. Department of Agriculture Forest Service in cooperation with the South Carolina Forestry Commission. These...

  19. Monitoring nontimber forest products using forest inventory data: an example with slippery elm bark

    Treesearch

    Jobriath S. Kauffman; Stephen P. Prisley; James L. Chamberlain

    2015-01-01

    The USDA Forest Service Forest Inventory and Analysi (FIA) program collects data on a wealth of variables related to trees in forests. Some of these trees produce nontimber forest products (NTFPs) (e.g., fruit, bark and sap) that are harvested for culinary, decorative, building, and medicinal purposes. At least 11 tree species inventoried by FIA are valued for their...

  20. Accuracy assessment of biomass and forested area classification from modis, landstat-tm satellite imagery and forest inventory plot data

    Treesearch

    Dumitru Salajanu; Dennis M. Jacobs

    2007-01-01

    The objective of this study was to determine how well forestfnon-forest and biomass classifications obtained from Landsat-TM and MODIS satellite data modeled with FIA plots, compare to each other and with forested area and biomass estimates from the national inventory data, as well as whether there is an increase in overall accuracy when pixel size (spatial resolution...

  1. Assessment of ASTER data for forest inventory in Canary Islands

    NASA Astrophysics Data System (ADS)

    Alonso-Benito, Alfonso; Arbelo, Manuel; Hernandez-Leal, Pedro A.; González-Calvo, Alejandro; Labrador Garcia, Mauricio

    To understand and evaluate the forest structural attributes, forest inventories are conducted, which are costly and lengthy in time. Since the last 10-15 years there has been examining the possibility of using remote sensing data, to save costs and cheapen the process. One of the aims of SATELMAC, a project PCT-MAC 2007-2013 co-financing with FEDER funds, is to automate the forest inventory in Canary Islands using satellite images. In this study, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data were used to estimate forest structure of the endemic vegetal specie, Pinus canariensis, located on the island of Tenerife (Spain). The forest structural attributes analyzed have been volume, basal area, stem per hectare and tree height. ASTER is an imaging instrument flying on Terra, a satellite launched in December 1999 as part of NASA's Earth Observing System. ASTER data were used because it have relatively high spatial resolution in the three visible and near-infrared bands (15 m) and in the six spectral bands (30 m) in the shortwave-IR region. To identify the vegetation index that is most suitable to use, about specific forest structural attributes in our study area, we assess the ability of different spectral indices: Normalized Difference Vegetation Index, Transformed Soil Adjusted Vegetation Index, Modified Soil adjusted Vegetation Index, Perpendicular Vegetation Index and Reduced Simple Ratio. The information provided by the ASTER data has been supplemented by the Third National Forest Inventory (III NFI) and field data. The results are analyzed statistically in order to see the degree of correlation (R2) and the mean square error (RMSE) of the values studied.

  2. Mapping Forest Inventory and Analysis forest land use: timberland, reserved forest land, and other forest land

    Treesearch

    Mark D. Nelson; John Vissage

    2007-01-01

    The Forest Inventory and Analysis (FIA) program produces area estimates of forest land use within three subcategories: timberland, reserved forest land, and other forest land. Mapping these subcategories of forest land requires the ability to spatially distinguish productive from unproductive land, and reserved from nonreserved land. FIA field data were spatially...

  3. Ozone bioindicators and forest health: a guide to the evaluation, analysis, and interpretation of the ozone injury data in the Forest Inventory and Analysis Program

    Treesearch

    Gretchen C. Smith; John W. Coulston; Barbara M. O' Connell

    2008-01-01

    In 1994, the Forest Inventory and Analysis (FIA) and Forest Health Monitoring programs of the U.S. Forest Service implemented a national ozone (O3) biomonitoring program designed to address specific questions about the area and percent of forest land subject to levels of O3 pollution that may negatively affect the forest...

  4. Estimating down dead wood from FIA forest inventory variables in Maine

    Treesearch

    David C. Chojnacky; Linda S. Heath

    2002-01-01

    Down deadwood (DDW) is a carbon component important in the function and structure of forest ecosystems, but estimating DDW is problematic because these data are not widely available in forest inventory databases. However, DDW data were collected on USDA Forest Service Forest Inventory and Analysis (FIA) plots during Maine's 1995 inventory. This study examines ways...

  5. Nonnative Plants in the Inventory of Western Oregon Forests

    Treesearch

    Andrew N. Gray

    2005-01-01

    Vegetation data from the 1997 inventory of non-Federal forests in western Oregon were examined to assess the abundance of invasive nonnative plants detected by the inventory. Inventoried plants were the more common, identifiable species; composites and graminoids were underrepresented. Nonnative species were found on 1,040,000 ha (35 percent) of the non-Federal forest...

  6. Bridging the gap between strategic and management forest inventories

    Treesearch

    Ronald E. McRoberts

    2009-01-01

    Strategic forest inventory programs collect information for a large number of variables on a relatively sparse array of field plots. Data from these inventories are used to produce estimates for large areas such as states and provinces, regions, or countries. The purpose of management forest inventories is to guide management decisions for small areas such as stands....

  7. Detecting and monitoring acidic deposition effects on soil chemistry and forest growth on the Monongahela National Forest

    Treesearch

    Patricia Elias; James Burger; Stephanie Connolly; Mary Beth. Adams

    2010-01-01

    The Monongahela National Forest (MNF) lies downwind from many sources of acid deposition (AD) pollution. Therefore, managers are concerned about the possible deleterious effects of AD on the forest ecosystem. To address the needs of MNF managers, we used Forest Inventory and Analysis (FIA) sites to evaluate forest growth patterns on the MNF to determine the...

  8. Using a remote sensing-based, percent tree cover map to enhance forest inventory estimation

    Treesearch

    Ronald E. McRoberts; Greg C. Liknes; Grant M. Domke

    2014-01-01

    For most national forest inventories, the variables of primary interest to users are forest area and growing stock volume. The precision of estimates of parameters related to these variables can be increased using remotely sensed auxiliary variables, often in combination with stratified estimators. However, acquisition and processing of large amounts of remotely sensed...

  9. Pros and cons of continuous forest inventory: customer perspectives

    Treesearch

    Andrew J. R. Gillespie

    2000-01-01

    The USDA Forest Service has historically conducted forest inventory on a state-by-state cycle, producing relatively high precision snapshots of forest resources for a given state at 7- to 15-year intervals. We are now considering a change to a continuous inventory system where we would operate at reduced intensity simultaneously in all states every year. Advantages for...

  10. Invasive plants found in North Carolina’s forests, 2010—forest inventory and analysis factsheet

    Treesearch

    Christopher M. Oswalt; Sonja N. Oswalt

    2014-01-01

    This publication provides an overview of invasive plants found in forests of the State of North Carolina based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station (SRS) of the Forest Service, U.S. Department of Agriculture in cooperation with the North Carolina Forest Service. These estimates and coverage...

  11. Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information

    Treesearch

    J. A. Blackard; M. V. Finco; E. H. Helmer; G. R. Holden; M. L. Hoppus; D.M. Jacobs; A. J. Lister; G. G. Moisen; M. D. Nelson; R. Riemann; B. Ruefenacht; D. Salajanu; D. L. Weyermann; K. C. Winterberger; T. J. Brandeis; R. L. Czaplewski; R. E. McRoberts; P. L. Patterson; R. P. Tymcio

    2008-01-01

    A spatially explicit dataset of aboveground live forest biomass was made from ground measured inventory plots for the conterminous U.S., Alaska and Puerto Rico. The plot data are from the USDA Forest Service Forest Inventory and Analysis (FIA) program. To scale these plot data to maps, we developed models relating field-measured response variables to plot attributes...

  12. Extending and Intensifying the FIA Inventory of Down Forest Fuels: Boundary Waters Canoe Area and Pictured Rocks National Lakeshore

    Treesearch

    Christopher W. Woodall; Bruce Leutscher

    2005-01-01

    The sampling design for the Forest Inventory and Analysis (FIA) program of the U.S. Department of Agriculture Forest Service allows intensification of fuel inventory sampling in areas of ?special interest? and implementation of fuel sampling protocol by non-FIA personnel. The objective of this study is to evaluate the contribution of sampling intensification/extension...

  13. California's forest resources: Forest Inventory and Analysis, 2001–2010

    Treesearch

    Glenn A. Christensen; Karen L. Waddell; Sharon M. Stanton; Olaf Kuegler

    2016-01-01

    This report highlights key findings from the most recent (2001–2010) data collected by the Forest Inventory and Analysis program across all forest land in California, updating previously published findings from data collected from 2001 through 2005 (Christensen et al. 2008). We summarize and interpret basic resource information such as forest area, ownership, volume,...

  14. USDA Forest Service National Woodland Owner Survey: national, regional, and state statistics for family forest and woodland ownerships with 10+ acres, 2011-2013

    Treesearch

    Brett Butler; Jaketon H. Hewes; Brenton J. Dickinson; Kyle Andrejczyk; Sarah M. Butler; Marla. Markowski-Lindsay

    2016-01-01

    This report summarizes the results from the 2011-2013 National Woodland Owner Survey (NWOS) conducted by the U.S. Forest Service, Forest Inventory and Analysis program. The focus of the results reported here is family forest and woodland ownerships with holdings of at least 10 acres. Summaries are based on responses from 8,576 family ownerships with at least 10 acres...

  15. A timer inventory based upon manual and automated analysis of ERTS-1 and supporting aircraft data using multistage probability sampling. [Plumas National Forest, California

    NASA Technical Reports Server (NTRS)

    Nichols, J. D.; Gialdini, M.; Jaakkola, S.

    1974-01-01

    A quasi-operational study demonstrating that a timber inventory based on manual and automated analysis of ERTS-1, supporting aircraft data and ground data was made using multistage sampling techniques. The inventory proved to be a timely, cost effective alternative to conventional timber inventory techniques. The timber volume on the Quincy Ranger District of the Plumas National Forest was estimated to be 2.44 billion board feet with a sampling error of 8.2 percent. Costs per acre for the inventory procedure at 1.1 cent/acre compared favorably with the costs of a conventional inventory at 25 cents/acre. A point-by-point comparison of CALSCAN-classified ERTS data with human-interpreted low altitude photo plots indicated no significant differences in the overall classification accuracies.

  16. East Texas, 2012—Forest Inventory and Analysis Factsheet

    Treesearch

    Thomas J. Brandeis; Jason A. Cooper; James W. Bentley

    2014-01-01

    This science update summarizes the findings of the statewide annual inventory of the forest resource attributes in Texas conducted by the Southern Forest Inventory and Analysis (FIA) Program in cooperation with the Texas A&M Forest Service. The 254 counties of Texas are consolidated into seven FIA survey units—southeast (unit 1), northeast (unit 2), north central (...

  17. Analyzing Forest Inventory Data from Geo-Located Photographs

    NASA Astrophysics Data System (ADS)

    Toivanen, Timo; Tergujeff, Renne; Andersson, Kaj; Molinier, Matthieu; Häme, Tuomas

    2015-04-01

    Forests are widely monitored using a variety of remote sensing data and techniques. Remote sensing offers benefits compared to traditional in-situ forest inventories made by experts. One of the main benefits is that the number of ground reference plots can be significantly reduced. Remote sensing of forests can provide reduced costs and time requirement compared to full forest inventories. The availability of ground reference data has been a bottleneck in remote sensing analysis over wide forested areas, as the acquisition of this data is an expensive and slow process. In this paper we present a tool for estimating forest inventory data from geo-located photographs. The tool can be used to estimate in-situ forest inventory data including estimated biomass, tree species, tree height and diameter. The collected in-situ forest measurements can be utilized as a ground reference material for spaceborne or airborne remote sensing data analysis. The GPS based location information with measured forest data makes it possible to introduce measurements easily as in-situ reference data. The central projection geometry of digital photographs allows the use of the relascope principle [1] to measure the basal area of stems per area unit, a variable very closely associated with tree biomass. Relascope is applied all over the world for forest inventory. Experiments with independent ground reference data have shown that in-situ data analysed from photographs can be utilised as reference data for satellite image analysis. The concept was validated by comparing mobile measurements with 54 independent ground reference plots from the Hyytiälä forest research station in Finland [2]. Citizen scientists could provide the manpower for analysing photographs from forests on a global level and support researchers working on tasks related to forests. This low-cost solution can also increase the coverage of forest management plans, particularly in regions where possibilities to invest on

  18. A stem-map model for predicting tree canopy cover of Forest Inventory and Analysis (FIA) plots

    Treesearch

    Chris Toney; John D. Shaw; Mark D. Nelson

    2009-01-01

    Tree canopy cover is an important stand characteristic that affects understory light, fuel moisture, decomposition rates, wind speed, and wildlife habitat. Canopy cover also is a component of most definitions of forest land used by US and international agencies. The USDA Forest Service Forest Inventory and Analysis (FIA) Program currently does not provide a national...

  19. The multiresource forest inventory for Kauai, Hawaii.

    Treesearch

    Michael G. Buck; Jeanine M. Branam; William T. Stormont

    1988-01-01

    This report summarizes a 1986 multiresource forest inventory for Kauai, Hawaii. Tables and figures of forest acreage, timber volume, vegetation types, ownership, land classes, bird counts, and introduced plants are presented.

  20. The multiresource forest inventory for Oahu, Hawaii.

    Treesearch

    Michael G. Buck; Jeanine M. Branam; Wllliam T. Stormont; Patrick G. Costales

    1988-01-01

    This report summarizes a 1986 multiresource forest inventory for Oahu, Hawaii. Tables and figures of forest area, timber volume, vegetation types, ownership, land classes, bird counts, and introduced plants are presented.

  1. Searching for American chestnut: the estimation of rare species attributes in a national forest inventory

    Treesearch

    Francis A. Roesch; William H. McWilliams

    2007-01-01

    American chestnut, once a dominant tree species in forests of the Northeastern United States, has become extremely rare. It is so rare, in fact, that on completion of 80 percent of the plot measurements of the U.S. Department of Agriculture Forest Service's most recent inventory in Pennsylvania, only 33 American chestnut trees with a diameter at breast height !Y 1...

  2. Searching for American chestnut: the estimation of rare species attributes in a national forest inventory

    Treesearch

    Francis A. Roesch; William H. McWilliams

    2005-01-01

    American chestnut, once a dominant tree species in forests of the Northeastern United States, has become extremely rare. It is so rare, in fact, that on completion of 80 percent of the plot measurements of the U.S. Department of Agriculture Forest Service's most recent inventory in Pennsylvania, only 33 American chestnut trees with a diameter at breast height 2: 1...

  3. Annual inventory report for Pennsylvania's forests: results from the first two years.

    Treesearch

    William H. McWilliams; Carol A. Alerich; Daniel A. Devlin; Tonya W. Lister; Stephen L. Sterner; James A. Westfall

    2002-01-01

    In 2000, the USDA Forest Service's Forest Inventory and Analysis (FIA) program implemented a new system for inventory and monitoring Pennsylvania?s forest resources. The most salient benefit of the new inventory process will be a nearly threefold improvement in timeliness. This report summarizes the results of the first 2 years of annual inventory measurements...

  4. Timber resource statistics for timberland outside National Forests in eastern Oregon.

    Treesearch

    Neil McKay; Gary J. Lettman; Mary A. Mei

    1994-01-01

    This report summarizes a 1992 timber resource inventory Of timberland outside National Forests in eastern Oregon. The report presents statistical tables of timberland area, timber volume, growth, mortality, and harvest. It also displays tables of revised 1986-87 timber resource statistics for timberland outside National Forests; the 1992 and 1986-87 tables may be...

  5. Annual inventory report for Pennsylvania's forests: results from the first three years

    Treesearch

    William H. McWilliams; Carol A. Alerich; Daniel A. Devlin; Andrew J. Lister; Tonya W. Lister; Stephen L. Sterner; James A. Westfall

    2004-01-01

    In 2000, the USDA Forest Service's Forest Inventory and Analysis (FIA program implemented a new system for inventory and monitoring Pennsylvania?s forests. The most salient feature of the new inventory process will be a nearly threefold improvement in timeliness. This report summarizes the results for the first 3 years of annual inventory measurements. The area of...

  6. Kansas forest inventory, 1981.

    Treesearch

    John S. Jr. Spencer; John K. Strickler; William J. Moyer

    1984-01-01

    The third inventory of the timber resource of Kansas shows a 1.4% increase in commercial forest area and a 42% gain in growing-stock volume between 1965 and 1980. Text and statistics are presented on area, volume, growth, mortality, removals, utilization, biomass, and future timber supply.

  7. Nebraska's second forest inventory.

    Treesearch

    Gerhard K. Raile

    1986-01-01

    The second inventory of the timber resource of Nebraska shows a 25% decline in commercial forest area and a 23% gain in growing-stock volume between 1955 and 1983. Text and statistics are presented on area, volume, growth, mortality, removals, utilization, biomass, and future timber supply.

  8. National-scale aboveground biomass geostatistical mapping with FIA inventory and GLAS data: Preparation for sparsely sampled lidar assisted forest inventory

    NASA Astrophysics Data System (ADS)

    Babcock, C. R.; Finley, A. O.; Andersen, H. E.; Moskal, L. M.; Morton, D. C.; Cook, B.; Nelson, R.

    2017-12-01

    Upcoming satellite lidar missions, such as GEDI and IceSat-2, are designed to collect laser altimetry data from space for narrow bands along orbital tracts. As a result lidar metric sets derived from these sources will not be of complete spatial coverage. This lack of complete coverage, or sparsity, means traditional regression approaches that consider lidar metrics as explanatory variables (without error) cannot be used to generate wall-to-wall maps of forest inventory variables. We implement a coregionalization framework to jointly model sparsely sampled lidar information and point-referenced forest variable measurements to create wall-to-wall maps with full probabilistic uncertainty quantification of all inputs. We inform the model with USFS Forest Inventory and Analysis (FIA) in-situ forest measurements and GLAS lidar data to spatially predict aboveground forest biomass (AGB) across the contiguous US. We cast our model within a Bayesian hierarchical framework to better model complex space-varying correlation structures among the lidar metrics and FIA data, which yields improved prediction and uncertainty assessment. To circumvent computational difficulties that arise when fitting complex geostatistical models to massive datasets, we use a Nearest Neighbor Gaussian process (NNGP) prior. Results indicate that a coregionalization modeling approach to leveraging sampled lidar data to improve AGB estimation is effective. Further, fitting the coregionalization model within a Bayesian mode of inference allows for AGB quantification across scales ranging from individual pixel estimates of AGB density to total AGB for the continental US with uncertainty. The coregionalization framework examined here is directly applicable to future spaceborne lidar acquisitions from GEDI and IceSat-2. Pairing these lidar sources with the extensive FIA forest monitoring plot network using a joint prediction framework, such as the coregionalization model explored here, offers the

  9. Introduction to the Special Section on Forest Inventory and Analysis

    Treesearch

    John D. Shaw

    2017-01-01

    Eighteen years ago, in this journal, Gillespie (1999) described the transition of the US Department of Agriculture (USDA) Forest Service Forest Inventory and Analysis (FIA) program from its historical practice of periodic, state-level inventories to a spatially and temporally balanced annualized inventory. The article offered a rationale for the change and also noted...

  10. A large-scale forest landscape model incorporating multi-scale processes and utilizing forest inventory data

    Treesearch

    Wen J. Wang; Hong S. He; Martin A. Spetich; Stephen R. Shifley; Frank R. Thompson III; David R. Larsen; Jacob S. Fraser; Jian Yang

    2013-01-01

    Two challenges confronting forest landscape models (FLMs) are how to simulate fine, standscale processes while making large-scale (i.e., .107 ha) simulation possible, and how to take advantage of extensive forest inventory data such as U.S. Forest Inventory and Analysis (FIA) data to initialize and constrain model parameters. We present the LANDIS PRO model that...

  11. Washington’s forest resources: Forest Inventory and Analysis, 2002–2011

    Treesearch

    Justin Holgerson; Sharon Stanton; Karen Waddell; Marin Palmer; Olaf Kuegler; Glenn Christensen

    2018-01-01

    This report highlights key findings from data collected by the Forest Inventory and Analysis program across all forest land in the state of Washington from 2002 through 2011, updating previously published findings from data collected up to 2006. We summarize and interpret basic resource information such as forest area, composition, ownership, volume, biomass, and...

  12. Optimizing efficiency of height modeling for extensive forest inventories.

    Treesearch

    T.M. Barrett

    2006-01-01

    Although critical to monitoring forest ecosystems, inventories are expensive. This paper presents a generalizable method for using an integer programming model to examine tradeoffs between cost and estimation error for alternative measurement strategies in forest inventories. The method is applied to an example problem of choosing alternative height-modeling strategies...

  13. The soil indicator of forest health in the Forest Inventory and Analysis Program

    Treesearch

    Michael C. Amacher; Charles H. Perry

    2010-01-01

    Montreal Process Criteria and Indicators (MPCI) were established to monitor forest conditions and trends to promote sustainable forest management. The Soil Indicator of forest health was developed and implemented within the USFS Forest Inventory and Analysis (FIA) program to assess condition and trends in forest soil quality in U.S. forests regardless of ownership. The...

  14. California's forest resources, 2001-2005: five-year Forest Inventory and Analysis Report.

    Treesearch

    Glenn A. Christensen; Sally J. Campbell; Jeremy S. Fried

    2008-01-01

    This report highlights key findings from the most recent (2001-2005) data collected by the Forest Inventory and Analysis Program across all forest land in California. We summarize and interpret basic resource information such as forest area, ownership, volume, biomass, and carbon stocks; structure and function topics such as biodiversity, forest age, dead wood, and...

  15. 77 FR 11584 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Gila National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-02-27

    .... Department of Agriculture, Forest Service, Gila National Forest, Silver City, NM, and Field Museum of Natural... of Agriculture, Forest Service, Gila National Forest and the Field Museum of Natural History have... contact the U.S. Department of Agriculture, Forest Service, Gila National Forest. Repatriation of the...

  16. 76 FR 43718 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Gila National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-07-21

    .... Department of Agriculture, Forest Service, Gila National Forest, Silver City, NM and Field Museum of Natural... of Agriculture, Forest Service, Gila National Forest and the Field Museum of Natural History have... may contact the U.S. Department of Agriculture, Forest Service, Gila National Forest. Repatriation of...

  17. Diameter Growth Models Using Minnesota Forest Inventory and Analysis Data

    Treesearch

    Veronica C. Lessard; Ronald E. McRoberts; Margaret R. Holdaway

    2001-01-01

    The Forest Inventory and Analysis (FIA) program of the USDA Forest Service North Central Research Station (NCRS) has begun replacing the 12-to 13-yr periodic inventory cycles for the states in the North Central region with annual inventories featuring measurement of approximately 20% of all plots in each of the 11 states each year. State reports on summaries of the...

  18. Determining stocking, forest type and stand-size class from forest inventory data

    Treesearch

    Mark H. Hansen; Jerold T. Hahn

    1992-01-01

    This paper describes the procedures used by North Central Forest Experiment Station's Forest Inventory and Analysis Work Unit (NCFIA) in determining stocking, forest type, and stand-size class. The stocking procedure assigns a portion of the stocking to individual trees measured on NCFIA 10-point field plots. Stand size and forest type are determined as functions...

  19. Comprehensive inventory of Utah's forest resources, 1993

    Treesearch

    Renee A. O' Brien

    1999-01-01

    This report presents the results of an inventory of Utah's forest lands, completed in 1995. It is the first of its kind for the Interior West States in that it includes all forested lands, regardless of ownership or administrative status. It also includes information on a multitude of forest ecosystem attributes.Included in this report are tables and...

  20. An alternative view of continuous forest inventories

    Treesearch

    Francis A. Roesch

    2008-01-01

    A generalized three-dimensional concept of continuous forest inventories applicable to all common forest sample designs is presented and discussed. The concept recognizes the forest through time as a three-dimensional population, two dimensions in land area and the third in time. The sample is selected from a finite three-dimensional partitioning of the population. The...

  1. The role of strategic forest inventories in aiding land management decision-making: Examples from the U.S

    Treesearch

    W. Keith Moser; Renate Bush; John D. Shaw; Mark H. Hansen; Mark D. Nelson

    2010-01-01

    A major challenge for today’s resource managers is the linking of standand landscape-scale dynamics. The U.S. Forest Service has made major investments in programs at both the stand- (national forest project) and landscape/regional (Forest Inventory and Analysis [FIA] program) levels. FIA produces the only comprehensive and consistent statistical information on the...

  2. Estimates of the occurrence of dwarf mistletoe on the Deschutes National Forest.

    Treesearch

    Donald J. DeMars

    1980-01-01

    The proportion of forest area infested and of trees infected were calculated for the Deschutes National Forest by using 10-point plot inventory data. The proportion of commercial forest acres infested with dwarf mistletoe is 0.476, and the proportion of trees infected on these acres is 0.308.

  3. Unlocking the forest inventory data: relating individual tree performance to unmeasured environmental factors

    Treesearch

    Jeremy W. Lichstein; Jonathan Dushoff; Kiona Ogle; Anping Chen; Drew W. Purves; John P. Caspersen; Stephen W. Pacala

    2010-01-01

    Geographically extensive forest inventories, such as the USDA Forest Service's Forest Inventory and Analysis (FIA) program, contain millions of individual tree growth and mortality records that could be used to develop broad-scale models of forest dynamics. A limitation of inventory data, however, is that individual-level measurements of light (L) and other...

  4. Monitoring Birds in a Regional Landscape: Lessons from the Nicolet National Forest Bird Survey

    Treesearch

    Robert W. Howe; Amy T. Wolf; Tony Rinaldi

    1995-01-01

    The Nicolet National Forest Bird Survey represents one of the first systematic bird monitoring programs in a USDA National Forest. Volunteers visit approximately 500 permanently marked points biennially (250 each year) during a single weekend of mid-June. Results from the first 6 years provide a general inventory of the Forest's avifauna, documentation of...

  5. Estimating the number of tree species in forest populations using current vegetation survey and forest inventory and analysis approximation plots and grid intensities

    Treesearch

    Hans T. Schreuder; Jin-Mann S. Lin; John Teply

    2000-01-01

    We estimate number of tree species in National Forest populations using the nonparametric estimator. Data from the Current Vegetation Survey (CVS) of Region 6 of the USDA Forest Service were used to estimate the number of tree species with a plot close in size to the Forest Inventory and Analysis (FIA) plot and the actual CVS plot for the 5.5 km FIA grid and the 2.7 km...

  6. A method for inventorying planting stock in forest nurseries

    Treesearch

    R.A. Chapman

    1939-01-01

    Each year forest nurserymen are faced with the problem of estimating the number of seedlings they can ship from their nurseries. Since errors in the estimates may seriously affect the planting programs, during the past 2 years the Southern Forest Experiment Station has been attempting to improve nursery-inventory procedure. The inventory method that appears most...

  7. Some estimates of growth and mortality from the Malheur National Forest in eastern Oregon.

    Treesearch

    Donald R. Gedney; Floyd A. Johnson; Vernon E. Hicks

    1959-01-01

    During 1955-56 an inventory was made of forested land in the Middle Fork Working Circle of the Malheur National Forest to provide information necessary for calculation of the allowable cut and for other management purposes. The growth and mortality estimates in the following report were obtained from this inventory. Although the estimates apply directly to the Middle...

  8. Integrating LIDAR and forest inventories to fill the trees outside forests data gap.

    PubMed

    Johnson, Kristofer D; Birdsey, Richard; Cole, Jason; Swatantran, Anu; O'Neil-Dunne, Jarlath; Dubayah, Ralph; Lister, Andrew

    2015-10-01

    Forest inventories are commonly used to estimate total tree biomass of forest land even though they are not traditionally designed to measure biomass of trees outside forests (TOF). The consequence may be an inaccurate representation of all of the aboveground biomass, which propagates error to the outputs of spatial and process models that rely on the inventory data. An ideal approach to fill this data gap would be to integrate TOF measurements within a traditional forest inventory for a parsimonious estimate of total tree biomass. In this study, Light Detection and Ranging (LIDAR) data were used to predict biomass of TOF in all "nonforest" Forest Inventory and Analysis (FIA) plots in the state of Maryland. To validate the LIDAR-based biomass predictions, a field crew was sent to measure TOF on nonforest plots in three Maryland counties, revealing close agreement at both the plot and county scales between the two estimates. Total tree biomass in Maryland increased by 25.5 Tg, or 15.6%, when biomass of TOF were included. In two counties (Carroll and Howard), there was a 47% increase. In contrast, counties located further away from the interstate highway corridor showed only a modest increase in biomass when TOF were added because nonforest conditions were less common in those areas. The advantage of this approach for estimating biomass of TOF is that it is compatible with, and explicitly separates TOF biomass from, forest biomass already measured by FIA crews. By predicting biomass of TOF at actual FIA plots, this approach is directly compatible with traditionally reported FIA forest biomass, providing a framework for other states to follow, and should improve carbon reporting and modeling activities in Maryland.

  9. Big trees in the southern forest inventory

    Treesearch

    Christopher M. Oswalt; Sonja N. Oswalt; Thomas J. Brandeis

    2010-01-01

    Big trees fascinate people worldwide, inspiring respect, awe, and oftentimes, even controversy. This paper uses a modified version of American Forests’ Big Trees Measuring Guide point system (May 1990) to rank trees sampled between January of 1998 and September of 2007 on over 89,000 plots by the Forest Service, U.S. Department of Agriculture, Forest Inventory and...

  10. Assessing the impact of a mountain pine beetle infestation on stand structure of lodgepole pine forests in Colorado using the Forest Inventory and Analysis Annual forest inventory

    Treesearch

    Michael T. Thompson

    2017-01-01

    The Forest Inventory and Analysis (FIA) annual inventory system began in Colorado in 2002, which coincided with the onset of a major mountain pine beetle (Dendroctonus ponderosae) epidemic. The mortality event, coupled with 11 years of annual inventory data, provided an opportunity to assess the usefulness of the FIA annual inventory system for quantifying the effects...

  11. LBA-ECO TG-07 Ground-based Biometry Data at km 83 Site, TapajosNational Forest: 1997

    Treesearch

    M.M. Keller; M.W. Palace

    2009-01-01

    A field inventory of trees was conducted in March of 1997 in a logging concession at the Tapajos National Forest, south of Santarem, Para, Brazil. The inventory was conducted by the foresters and technicians of the Tropical Forest Foundation (FFT) and included all trees with diameter at breast height greater than or equal to 35 cm. Four blocks of approximately 100 ha...

  12. The great carbon push-pull: where science is pushing and policy is pulling the official forest carbon inventory of the US

    Treesearch

    C.W. Woodall; G.M. Domke; J. Coulston; M.B. Russell; J.A. Smith; C.H. Perry; S. Healey; A. Gray

    2015-01-01

    A national system of field inventory plots (FIA) is the primary data source for the annual assessment of US forest carbon (C) stocks and stock-change to meet reporting requirements under the United Nations Framework Convention on Climate Change (UNFCCC). The inventory data and their role in national carbon reporting continue to evolve. The framework of the previous C...

  13. Analysis and Reporting Needs for Annual Forest Inventories in the South

    Treesearch

    Michael T. Thompson

    2001-01-01

    The annual forest inventory system essentially eliminates the concept of the periodic inventory. Therefore, the reporting requirements and needs for individual States will change as the South makes the transition to full annual inventories. The Farm Bill and the Forest Service Strategic Plan require both annual reports and 5-year comprehensive, analytical reports. The...

  14. Spatial Information Needs on the Fishlake National Forest: Can FIA Help?

    Treesearch

    Robert B., Jr. Campbell; Renee A. O' Brien

    2005-01-01

    National forest staff members are frequently challenged to make assessments with existing information. They rarely have the time or resources to go to the field to gather new data specific to the question at hand. Forest Inventory and Analysis (FIA) data have proved useful in the past, but there is an increasing need for spatial depictions of forest resources to...

  15. Approach of regionalisation c-stocks in forest soils on a national level

    NASA Astrophysics Data System (ADS)

    Wellbrock, Nicole; Höhle, Juliane; Dühnelt, Petra; Holzhausen, Marieanna

    2010-05-01

    Introduction In December 2006, the German government decided to manage forests as carbon sinks to reduce greenhouse gas emissions in accordance with Article 3.4 of the Kyoto Protocol. The National Forest Monitoring data contribute to the fulfilment of these reporting commitments. In Germany, National Forest Monitoring includes the systematical extensive National Soil Condition Survey (BZE) and the detailed case studies (Level-II) which determine the processes within forests. This complex monitoring system is appropriate to Germany's greenhouse gas reporting (THG 2008 to 2012). The representative BZE plots can be used to obtain regional data for the National Carbon Stock Inventory. Here, an approach adopting a combination of geostatistics and regression analysis is preferred. The difficulty of showing the statistical significance of expected small changes while carbon stocks are generally high is one of the major challenges in carbon stock monitoring. However, through intensive preparation and cooperation with the forestry authorities of each federal state, the errors uncured in determining changes in carbon stocks in forest soils, which must be stipulated in greenhouse gas monitoring, could be minimised. In contrast to the detailed soil case studies, in which essentially the sources of error occur repeatedly in carbon stock change calculations, the BZE data can be stratified to form plots with homogenous properties, thereby reducing the standard error of estimate. Subsequently, the results of the stratification are projected across Germany, the reporting unit for greenhouse gas monitoring. National Forest Monitoring The BZE represents a national, systematic sampling inventory of the condition of forest soils. The first BZE inventory (BZE I: 1987 to 1993) was carried out on a systematic 8 x 8 km grid on the same sampling plots adopted in the Forest Condition Survey (WZE). In some areas the network of sampling plots involves 1900 grid points. The first BZE I survey

  16. The 2014 tanana inventory pilot: A USFS-NASA partnership to leverage advanced remote sensing technologies for forest inventory

    Treesearch

    Hans-Erik Andersen; Chad Babcock; Robert Pattison; Bruce Cook; Doug Morton; Andrew Finley

    2015-01-01

    Interior Alaska (approx. 112 million forested acres in size) is the last remaining forested area within the United States where the Forest Inventory and Analysis (FIA) program is not currently implemented. A joint NASA-FIA inventory pilot project was carried out in 2014 to increase familiarity with interior Alaska logistics and evaluate the utility of state-of-the-art...

  17. A diameter growth model for single-stem growth forms for the interior west forest inventory and analysis’s region

    Treesearch

    Michael T. Thompson

    2015-01-01

    The Interior West Forest Inventory and Analysis Unit (IWFIA) will soon transition from a regional system to a national FIA system for compiling estimates of forest growth, removals, and mortality. The national system requires regional diameter-growth models to estimate diameters on trees in situations where the initial or terminal diameter is not known at the beginning...

  18. Improving Forest Inventory and Analysis efficiency with common land unit information

    Treesearch

    Greg C. Liknes; Mark D. Nelson

    2009-01-01

    The Forest Service, U.S. Department of Agriculture's (USDA's) Northern Research Station Forest Inventory and Analysis program (NRS-FIA) examines inventory locations on digital aerial imagery to determine if the land use at each plot location meets the FIA definition of forest and thereby becomes a field visit site. This manual image-interpretation effort...

  19. Forest inventory, catastrophic events and historic geospatial assessments in the south

    Treesearch

    Dennis M. Jacobs

    2007-01-01

    Catastrophic events are a regular occurrence of disturbance to forestland in the Southern United States. Each major event affects the integrity of the forest inventory database developed and maintained by the Forest Inventory & Analysis Research Work Unit of the U.S. Department of Agriculture, Forest Service. Some of these major disturbances through the years have...

  20. Assessing the Effects of Forest Fragmentation Using Satellite Imagery and Forest Inventory Data

    Treesearch

    Ronald E. McRoberts; Greg C. Liknes

    2005-01-01

    For a study area in the North Central region of the USA, maps of predicted proportion forest area were created using Landsat Thematic Mapper imagery, forest inventory plot data, and a logistic regression model. The maps were used to estimate quantitative indices of forest fragmentation. Correlations between the values of the indices and forest attributes observed on...

  1. Doing more with the core: Proceedings of the 2017 Forest Inventory and Analysis (FIA) Science Stakeholder Meeting; 2017 October 24- 26; Park City, UT

    Treesearch

    Sean P. Healey; Vicki M. Berrett

    2017-01-01

    The Forest Service’s Forest Inventory and Analysis Program (FIA) is the primary source of information about our forests’ status and trends. A network of nationally consistent field observations forms FIA’s core, and active collaboration with clients and peer organizations ensures that the resulting inventory remains agile, comprehensive, and relevant. An FIA Science...

  2. Using Forest Service multiple species inventory and monitoring protocols to count birds at forest inventory and analysis plots on the Caribbean landscape: results, observations, and challenges from year 1 of a 2-year study

    Treesearch

    Sonja N. Oswalt; Thomas J. Brandeis; David W. Steadman; Scott K. Robinson

    2009-01-01

    We conducted double-observer point counts of birds from December 3 to December 31, 2005, on preestablished permanent Forest Inventory and Analysis (FIA) plots and National Park Service System trails within the Virgin Islands National Park, St. John, U.S. Virgin Islands. We had three objectives: (1) to collect abundance and distribution data for wintering land birds,...

  3. Forest inventory and management-based visual preference models of southern pine stands

    Treesearch

    Victor A. Rudis; James H. Gramann; Edward J. Ruddell; Joanne M. Westphal

    1988-01-01

    Statistical models explaining students' ratings of photographs of within stand forest scenes were constructed for 99 forest inventory plots in east Texas pine and oak-pine forest types. Models with parameters that are sensitive to visual preference yet compatible with forest management and timber inventories are presented. The models suggest that the density of...

  4. 75 FR 68000 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Hiawatha National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-11-04

    ... of Agriculture, Forest Service, Hiawatha National Forest, Escanaba, MI and University of Michigan... of Agriculture, Forest Service, Hiawatha National Forest, Escanaba, MI, and in the physical custody... Agriculture, Forest Service, professional staff in consultation with representatives of the Bay Mills Indian...

  5. Estimating Uncertainty in Annual Forest Inventory Estimates

    Treesearch

    Ronald E. McRoberts; Veronica C. Lessard

    1999-01-01

    The precision of annual forest inventory estimates may be negatively affected by uncertainty from a variety of sources including: (1) sampling error; (2) procedures for updating plots not measured in the current year; and (3) measurement errors. The impact of these sources of uncertainty on final inventory estimates is investigated using Monte Carlo simulation...

  6. The national forest inventory in China: History, results, international context

    Treesearch

    WeiSheng Zeng; Erkki Tomppo; Sean P. Healey; Klaus V. Gadow

    2015-01-01

    Main results and important changes in China’s NFI are documented, both to support continued trend analysis and to provide data users with historical perspective. New technologies and data needs ensure that the Chinese NFI, like the national inventories in other countries, will continue to evolve. Within the context of historical change and current conditions, likely...

  7. Values and motivations of private forest owners in the United States: a framework based on open-ended responses in the national woodland owner survey

    Treesearch

    David N. Bengston; Brett J. Butler; Stanley T. Asah

    2009-01-01

    The National Woodland Owner Survey (NWOS) is a recurring and comprehensive national survey of private forest landowners in the United States, and is a social complement to the U.S. Forest Service Forest Inventory and Analysis program's biologic resource inventory. An open-ended question in the NWOS explores private forest owners' motivations and values...

  8. Washington's public and private forests.

    Treesearch

    Charles L. Bolsinger; Neil McKay; Donald FL Gedney; Carol Alerich

    1997-01-01

    This report summarizes and analyzes 1988-91 timber inventories of western and eastern Washington. These inventories were conducted on all private and public lands except National Forests. Timber resource statistics from National Forest inventories also are presented. Detailed tables provide estimates of forest area, timber volume, growth, mortality, and harvest. Data...

  9. Development of a stand-scale forest biodiversity index based on the state forest inventory

    Treesearch

    Diego Van Den Meersschaut; Kris Vandekerkhove

    2000-01-01

    Ecological aspects are increasingly influencing silvicultural management. Estimating forest biodiversity has become one often major tools for evaluating management strategies. A stand-scale forest biodiversity index is developed, based on available data from the state forest inventory. The index combines aspects of forest structure, woody and herbal layer composition,...

  10. Utilizing Forest Inventory and Analysis Data, Remote Sensing, and Ecosystem Models for National Forest System Carbon Assessments

    Treesearch

    Alexa J. Dugan; Richard A. Birdsey; Sean P. Healey; Christopher Woodall; Fangmin Zhang; Jing M. Chen; Alexander Hernandez; James B. McCarter

    2015-01-01

    Forested lands, representing the largest terrestrial carbon sink in the United States, offset 16% of total U.S. carbon dioxide emissions through carbon sequestration. Meanwhile, this carbon sink is threatened by deforestation, climate change and natural disturbances. As a result, U.S. Forest Service policies require that National Forests assess baseline carbon stocks...

  11. Annual design-based estimation for the annualized inventories of forest inventory and analysis: sample size determination

    Treesearch

    Hans T. Schreuder; Jin-Mann S. Lin; John Teply

    2000-01-01

    The Forest Inventory and Analysis units in the USDA Forest Service have been mandated by Congress to go to an annualized inventory where a certain percentage of plots, say 20 percent, will be measured in each State each year. Although this will result in an annual sample size that will be too small for reliable inference for many areas, it is a sufficiently large...

  12. Forest Inventory and Analysis and Forest Health Monitoring: Piecing the Quilt

    Treesearch

    Joseph M. McCollum; Jamie K. Cochran

    2005-01-01

    Against the backdrop of a discussion about patchwork quilt assembly, the authors present background information on global grids. They show how to compose hexagons, an important task in systematically developing a subset of Forest Health Monitoring (FHM) Program plots from Forest Inventory and Analysis (FIA) plots. Finally, they outline the FHM and FIA grids, along with...

  13. Double sampling for stratification: a forest inventory application in the Interior West

    Treesearch

    David C. Chojnacky

    1998-01-01

    This paper documents the use of double sampling for Forest Inventory and Analysis (Forest Service, U.S. Department of Agriculture) inventories in the Interior West. Results show 18 equations describe the entire inventory summarization process for estimating population totals and means, and respective variances. Most equations are for standard use of double sampling,...

  14. Arkansas, 2010 forest inventory and analysis factsheet

    Treesearch

    James F. Rosson

    2011-01-01

    This annual factsheet is a brief look at some of the basic metrics that describe forest resources in Arkansas. Estimates presented here are for the measurement year 2010 with resource changes compared against the 2009 survey year. Factsheet information is updated every year by means of the Forest Inventory and Analysis (FIA) annualized sample design. Arkansas has about...

  15. Florida, 2011-forest inventory and analysis factsheet

    Treesearch

    Mark J. Brown; Jarek Nowak

    2013-01-01

    Forest Inventory and Analysis (FIA) factsheets are produced periodically to keep the public up to date on the extent and condition of the forest lands in each State. The forestrelated estimates in the factsheets are based upon data collected from thousands of sample plots distributed across the landscape in a systematic manner. The total number of these plots is...

  16. Communicating the role of silviculture in managing the national forests: Proceedings of the National Silviculture Workshop

    Treesearch

    Northeastern Forest Experiment Station

    1997-01-01

    Contains 32 articles on communicating the values and benefits of silviculture in managing the national forests. Specific topics addressed are how communications affect: policymakers, inventory and monitoring, resource management, research, education and demonstration, and partnerships.

  17. National Woodland Owner Survey: family forest ownerships with 1 to 9 acres, 2011-2013

    Treesearch

    Brett J. Butler; Stephanie A. Snyder

    2017-01-01

    This report summarizes results from the 2011-2013 National Woodland Owner Survey (NWOS) conducted by the U.S. Forest Service, Forest Inventory and Analysis program for family forest ownerships with forest holdings of 1-9 acres. Summaries are based on responses from 1,025 family ownerships with 1-9 acres of forest across 39 U.S. states. Survey summary tables are...

  18. Annual Forest Inventories for the North Central Region of the United States

    Treesearch

    Ronald E. McRoberts; Mark H. Hansen

    1999-01-01

    The primary objective in developing procedures for annual forest inventories for the north central region of the United States is to establish the capability of producing standard forest inventory and analysis estimates on an annual basis. The inventory system developed to accomplish this objective features several primary functions, including (1) an annual sample of...

  19. True versus perturbed forest inventory plot locations for modeling: a simulation study

    Treesearch

    John W. Coulston; Kurt H. Riitters; Ronald E. McRoberts; William D. Smith

    2006-01-01

    USDA Forest Service Forest Inventory and Analysis plot information is widely used for timber inventories, forest health assessments, and environmental risk analyses. With few exceptions, true plot locations are not revealed; the plot coordinates are manipulated to obscure the location of field plots and thereby preserve plot integrity. The influence of perturbed plot...

  20. Wisconsin State Forests Continuous Forest Inventory: A look at the first year

    Treesearch

    Randall S. Morin; Teague Prichard; Vern Everson; Jim Westfall; Charles Scott

    2009-01-01

    The demand for timely, consistent, and reliable forest inventory and monitoring information for Wisconsin's state forests has increased significantly. A wide range of publics and partners, including businesses, organizations, and citizens alike are well aware of the benefits of sustainable forestry and are working together to increase knowledge through an annual...

  1. Assessment of drought related mortality in pinyon-juniper and ponderosa pine forests using Forest Inventory and Analysis data

    Treesearch

    John D. Shaw

    2008-01-01

    (Please note, this is an abstract only) Widespread mortality in several forest types is associated with several years of drought in the Southwest. Implementation of USDA Forest Service Forest Inventory and Analysis (FIA) annual inventory in several states coincided with the onset of elevated mortality rates. Analysis of data collected 2000-2004 reveals the status and...

  2. Forest Inventory Mapmaker Users Guide

    Treesearch

    Patrick D. Miles

    2001-01-01

    The Forest Inventory Mapmaker Web application (http://www.ncrs.fs.fed.us/4801/fiadb/) provides users with the ability to easily generate tables and shaded maps. The goal of this manual is to present the basic concepts of the Web application to the user and to reinforce these concepts through the use of tutorials.

  3. Testing for change in structural elements of forest inventories

    Treesearch

    Melinda Vokoun; David Wear; Robert Abt

    2009-01-01

    In this article we develop a methodology to test for changes in the underlying relationships between measures of forest productivity (structural elements) and site characteristics, herein referred to as structural changes, using standard forest inventories. Changes in measures of forest growing stock volume and number of trees for both...

  4. Arkansas, 2011 forest inventory and analysis factsheet

    Treesearch

    James F. Rosson

    2012-01-01

    This annual factsheet is a brief look at some of the basic metrics that describe the status of and changes to forest resources in Arkansas. Estimates presented here are for the measurement year 2011 with resource changes compared against the 2010 survey year. Information for the factsheet is updated every year by means of the Forest Inventory and Analysis (FIA)...

  5. Arkansas, 2012 forest inventory and analysis factsheet

    Treesearch

    James F. Rosson

    2013-01-01

    This annual factsheet is a brief look at some of the basic metrics that describe the status and trends of forest resources in Arkansas. Estimates presented here are for the measurement year 2012 with resource changes compared against the 2011 survey year. Information for the factsheet is updated every year by means of the Forest Inventory and Analysis (FIA) annualized...

  6. Virginia, 2012 - forest inventory and analysis factsheet

    Treesearch

    Anita K. Rose

    2014-01-01

    This science update is a brief look at some of the basic metrics that describe the status of and changes in forest resources in Virginia. Estimates presented here are for the measurement year 2012. Information for the factsheets is updated by means of the Forest Inventory and Analysis (FIA) annualized sample design. Each year 20 percent of the sample plots (one panel)...

  7. Virginia, 2011 forest inventory and analysis factsheet

    Treesearch

    Anita K. Rose

    2013-01-01

    This science update is a brief look at some of the basic metrics that describe the status and trends of forest resources in Virginia. Estimates presented here are for the measurement year 2011. Information for the factsheets is updated by means of the Forest Inventory and Analysis (FIA) annualized sample design. Each year 20 percent of the sample plots (one panel) in...

  8. Virginia, 2010 forest inventory and analysis factsheet

    Treesearch

    Anita K. Rose

    2012-01-01

    This science update is a brief look at some of the basic metrics that describe the status of forest resources in Virginia. Estimates presented here are for the measurement year 2010. Information for this factsheet is updated by means of the Forest Inventory and Analysis (FIA) annualized sample design. Virginia has about 4,600 sample plots across the State and each year...

  9. Virginia, 2009 forest inventory and analysis factsheet

    Treesearch

    Anita K. Rose

    2011-01-01

    This science update is a brief look at some of the basic metrics that describe forest resources in Virginia. Estimates presented here are for the measurement year 2009. Information for the factsheet is updated by means of the Forest Inventory and Analysis (FIA) annualized sample design. Virginia has about 4,600 sample plots across the State, and each year 20 percent of...

  10. Interactive access to forest inventory data for the South Central United States

    Treesearch

    William H. McWilliams

    1990-01-01

    On-line access to USDA, Forest Service successive forest inventory data for the South Central United States is provided by two computer systems. The Easy Access to Forest Inventory and Analysis Tables program (EZTAB) produces a set of tables for specific geographic areas. The Interactive Graphics and Retrieval System (INGRES) is a database management system that...

  11. Timber volume and type acreage on the national forests of the north Pacific region from the inventory phase of the forest survey

    Treesearch

    R.W. Cowlin; F.L. Moravets

    1937-01-01

    Completion of the forest survey of Oregon and Washington has recently made it possible to compile reliable statistics as to the forest-land areas and timber volumes of the national forests in the North Pacific Region. This region, the sixth of 10 regions into which the United States is divided for purposes of national-forest administration, includes all the national-...

  12. Timber supply and demand assessment of the Green and White Mountain National Forests' market area

    Treesearch

    Chris B. LeDoux; Paul E. Sendak; William H. McWilliams; Neil Huyler; Thomas Malecek; Worthen Muzzey; Toni Jones

    2001-01-01

    This report describes a timber supply and demand assessment of the Green and White Mountain National Forests' market area using USDA Forest Service, Forest Inventory and Analysis data, production information provided by forest industry, and a stump-to-mill logging cost-prediction model. Nonavailable timberland that includes reserve and steep-terrain lands is...

  13. San Juan Bay Estuary watershed urban forest inventory

    Treesearch

    Thomas J. Brandeis; Francisco J. Escobedo; Christina L. Staudhammer; David J. Nowak; Wayne C. Zipperer

    2014-01-01

    We present information on the urban forests and land uses within the watershed of Puerto Rico’s 21 658-ha San Juan Bay Estuary based on urban forest inventories undertaken in 2001 and 2011. We found 2548 ha of mangrove and subtropical moist secondary forests covering 11.8 percent of the total watershed area in 2011. Red, black, and white mangroves (Rhizophora...

  14. Updating older forest inventory data with a growth model and satellite records to improve the responsiveness and currency of national carbon monitoring

    NASA Astrophysics Data System (ADS)

    Healey, S. P.; Zhao, F. R.; McCarter, J. B.; Frescino, T.; Goeking, S.

    2017-12-01

    International reporting of American forest carbon trends depends upon the Forest Service's nationally consistent network of inventory plots. Plots are measured on a rolling basis over a 5- to 10-year cycle, so estimates related to any variable, including carbon storage, reflect conditions over a 5- to 10-year window. This makes it difficult to identify the carbon impact of discrete events (e.g., a bad fire year; extraction rates related to home-building trends), particularly if the events are recent.We report an approach to make inventory estimates more sensitive to discrete and recent events. We use a growth model (the Forest Vegetation Simulator - FVS) that is maintained by the Forest Service to annually update the tree list for every plot, allowing all plots to contribute to a series of single-year estimates. Satellite imagery from the Landsat platform guides the FVS simulations by providing information about which plots have been disturbed, which are recovering from disturbance, and which are undergoing undisturbed growth. The FVS model is only used to "update" plot tree lists until the next field measurement is made (maximum of 9 years). As a result, predicted changes are usually small and error rates are low. We present a pilot study of this system in Idaho, which has experienced several major fire events in the last decade. Empirical estimates of uncertainty, accounting for both plot sampling error and FVS model error, suggest that this approach greatly increases temporal specificity and sensitivity to discrete events without sacrificing much estimate precision at the level of a US state. This approach has the potential to take better advantage of the Forest Service's rolling plot measurement schedule to report carbon storage in the US, and it offers the basis of a system that might allow near-term, forward-looking analysis of the effects of hypothetical forest disturbance patterns.

  15. Oregon’s forest resources, 2001–2010: ten-year Forest Inventory and Analysis report

    Treesearch

    Sheel Bansal; Leslie Brodie; Sharon Stanton; Karen Waddell; Marin Palmer; Glenn Christensen; Olaf Kuegler; John Chase; Joel Thompson; Sarah Jovan; Andrew Gray; Morgan Todd

    2017-01-01

    This report highlights key findings from a comprehensive vegetation survey of all forested land across the state of Oregon. A total of 5,180 forested field plots in Oregon were visited by Forest Inventory and Analysis (FIA) crews over a 10-year period from 2001 to 2010. Oregon has 30 million acres of forest, covering nearly half the state. The structure and composition...

  16. Conterminous U.S. and Alaska Forest Type Mapping Using Forest Inventory and Analysis Data

    Treesearch

    B. Ruefenacht; M.V. Finco; M.D. Nelson; R. Czaplewski; E.H. Helmer; J. A. Blackard; G.R. Holden; A.J. Lister; D. Salajanu; D. Weyermann; K. Winterberger

    2008-01-01

    Classification-trees were used to model forest type groups and forest types for the conterminous United States and Alaska. The predictor data were a geospatial data set with a spatial resolution of 250 m developed by the U.S. Department of Agriculture Forest Service (USFS). The response data were plot data from the USFS Forest Inventory and Analysis program. Overall...

  17. Effects of changing forest land definitions on forest inventory on the West Coast, USA

    Treesearch

    David L. Azuma; Andrew Gray

    2014-01-01

    A key function of forest inventory is to detect changes in the area of forest land over time, yet different definitions of forest land are used in different regions of the world. Changes in the definition of forest intended to improve international consistency can affect the ability to quantify true changes over time. The objective of this study was to evaluate the...

  18. Wisconsin's fourth forest inventory, 1983.

    Treesearch

    John S. Jr. Spencer; W. Brad Smith; Jerold T. Hahn; Gerhard K. Raile

    1988-01-01

    The fourth inventory of the timber resource of Wisconsin shows that growing-stock volume increased from 11.2 to 15.5 billion cubic feet between 1968 and 1983, and area of timberland increased from 14.5 to 14.8 million acres. Presented are analysis and statistics on forest area and timber volume, growth, mortality, removals, and projections.

  19. Summer inventory of landbirds in Kenai Fjords National Park

    USGS Publications Warehouse

    2006-01-01

    As part of the National Park Service Inventory and Monitoring Program, we conducted a summer inventory of landbirds within Kenai Fjords National Park. Using a stratified random sampling design of areas accessible by boat or on foot, we selected sites that encompassed the breadth of habitat types within the Park. We detected 101 species across 52 transects, including 62 species of landbirds, which confirmed presence of 87% of landbird species expected to occur in the Park during the summer breeding season. We found evidence of breeding for three Partners in Flight Watch List species, Rufous Hummingbird (Selasphorus rufus), Olive-sided Flycatcher (Contopus cooperi), and Rusty Blackbird (Euphagus carolinus), which are of particular conservation concern due to recent population declines. Kenai Fjords National Park supports extremely high densities of Hermit Thrush, Orange-crowned Warbler, and Wilson’s Warbler (Wilsonia pusilla) compared with other regions of Alaska. Other commonly observed species included Fox Sparrow (Passerella iliaca), Varied Thrush (Ixoreus naevius), Rubycrowned Kinglet (Regulus calendula), and Yellow Warbler (Dendroica petechia). More than half of the landbird species we observed occurred in needleleaf forests, and several of these species were strongly associated with the coastforest interface. Tall shrub habitats, which occurred across all elevations and in recently deglaciated areas, supported high densities and a diverse array of passerines. Two major riparian corridors, with their broadleaf forests, wetlands, and connectivity to interior Alaska, provided unique and important landbird habitats within the region.

  20. Trends in standing biomass in Interior West forests: Reassessing baseline data from periodic inventories

    Treesearch

    Sara A. Goeking

    2012-01-01

    Trends in U.S. forest biomass and carbon are assessed using Forest Inventory and Analysis (FIA) data relative to baseline assessments from the 1990s. The integrity of baseline data varies by state and depends largely on the comparability of periodic versus annual forest inventory data. In most states in the Interior West FIA region, the periodic inventory's sample...

  1. USDA Forest Service National Woodland Owner Survey, 2011-2013: design, implementation, and estimation methods

    Treesearch

    Brett J. Butler; Brenton J. Dickinson; Jaketon H. Hewes; Sarah M. Butler; Kyle Andrejczyk; Marla Markowski-Lindsay

    2016-01-01

    The National Woodland Owner Survey (NWOS) is conducted by the U.S. Forest Service, Forest Inventory and Analysis program to increase the understanding of the attitudes, behaviors, and demographics of private forest and woodland ownerships across the United States. The information is intended to help policy makers, resource managers, educators, service providers, and...

  2. Forest inventory and stratified estimation: a cautionary note

    Treesearch

    John Coulston

    2008-01-01

    The Forest Inventory and Analysis (FIA) Program uses stratified estimation techniques to produce estimates of forest attributes. Stratification must be unbiased and stratification procedures should be examined to identify any potential bias. This note explains simple techniques for identifying potential bias, discriminating between sample bias and stratification bias,...

  3. Sources of uncertainty in annual forest inventory estimates

    Treesearch

    Ronald E. McRoberts

    2000-01-01

    Although design and estimation aspects of annual forest inventories have begun to receive considerable attention within the forestry and natural resources communities, little attention has been devoted to identifying the sources of uncertainty inherent in these systems or to assessing the impact of those uncertainties on the total uncertainties of inventory estimates....

  4. Prefield methods: streamlining forest or nonforest determinations to increase inventory efficiency

    Treesearch

    Sara Goeking; Gretchen Moisen; Kevin Megown; Jason Toombs

    2009-01-01

    Interior West Forest Inventory and Analysis has developed prefield protocols to distinguish forested plots that require field visits from nonforested plots that do not require field visits. Recent innovations have increased the efficiency of the prefield process. First, the incorporation of periodic inventory data into a prefield database increased the amount of...

  5. Long and short term changes in the forests of the Cumberland Plateau and Mountains using large scale forest inventory data

    Treesearch

    Christopher M. Oswalt; Andrew J. Hartsell

    2012-01-01

    The Cumberland Plateau and Mountains (CPM) are a significant component of the eastern deciduous forest with biological and cultural resources strongly connected to and dependent upon the forest resources of the region. As a result, continuous inventory and monitoring is critical. The USDA Forest Service Forest Inventory and Analysis (FIA) program has been collecting...

  6. Oregon's forest resources, 2001-2005: five-year Forest Inventory and Analysis report.

    Treesearch

    Joseph Donnegan; Sally Campbell; Dave Azuma

    2008-01-01

    This report highlights key findings from the most recent (2001-2005) data collected by the Pacific Northwest Forest Inventory and Analysis (PNW-FIA) Program across all ownerships in Oregon. We present basic resource information such as forest area, land use change, ownership, volume, biomass, and carbon sequestration; structure and function topics such as biodiversity...

  7. Anomalous dismeter distribution shifts estimated from FIA inventories through time

    Treesearch

    Francis A. Roesch; Paul C. Van Deusen

    2010-01-01

    In the past decade, the United States Department of Agriculture Forest Service’s Forest Inventory and Analysis Program (FIA) has replaced regionally autonomous, periodic, state-wide forest inventories using various probability proportional to tree size sampling designs with a nationally consistent annual forest inventory design utilizing systematically spaced clusters...

  8. Florida, 2010 forest inventory and analysis factsheet

    Treesearch

    Mark J. Brown; Jarek Nowak

    2012-01-01

    Forest Inventory and Analysis (FIA) factsheets are produced periodically to keep the public up to date on the extent and condition of the forest lands in each State. This factsheet is an annualized update of the full 5-year cycle of panel data completed in 2007 and updated by reprocessing with new 2009 and 2010 panel data. It represents 5 years of data, 40 percent of...

  9. Washington’s forest resources, 2002–2006: five-year Forest Inventory and Analysis report

    Treesearch

    Sally Campbell; Karen Waddell; Andrew Gray

    2010-01-01

    This report highlights key findings from the most recent (2002-2006) data collected by the Forest Inventory and Analysis Program across all ownerships in Washington. We present basic resource information such as forest area, land use change, ownership, volume, biomass, and carbon sequestration; structure and function topics such as biodiversity, older forests, dead...

  10. The forest inventory and analysis database description and users manual version 1.0

    Treesearch

    Patrick D. Miles; Gary J. Brand; Carol L. Alerich; Larry F. Bednar; Sharon W. Woudenberg; Joseph F. Glover; Edward N. Ezell

    2001-01-01

    Describes the structure of the Forest Inventory and Analysis Database (FIADB) and provides information on generating estimates of forest statistics from these data. The FIADB structure provides a consistent framework for storing forest inventory data across all ownerships across the entire United States. These data are available to the public.

  11. Forest and Range Inventory and Mapping

    NASA Technical Reports Server (NTRS)

    Aldrich, R. C.

    1971-01-01

    The state of the art in remote sensing for forest and range inventories and mapping has been discussed. There remains a long way to go before some of these techniques can be used on an operational basis. By the time that the Earth Resources Technology Satellite and Skylab space missions are flown, it should be possible to tell what kind and what quality of information can be extracted from remote sensors and how it can be used for surveys of forest and range resources.

  12. Batch reporting of forest inventory statistics using the EVALIDator

    Treesearch

    Patrick D. Miles

    2015-01-01

    The EVALIDator Web application, developed in 2007, provides estimates and sampling errors of forest statistics (e.g., forest area, number of trees, tree biomass) from data stored in the Forest Inventory and Analysis database. In response to user demand, new features have been added to the EVALIDator. The most recent additions are 1) the ability to generate multiple...

  13. Characterizing forest vegetation of the Tanana Valley: what can forest inventory and analysis deliver?

    Treesearch

    Bethany Schulz

    2015-01-01

    Vegetation profile data were collected as part of a forest inventory project in the Tanana Valley in interior Alaska, providing a means of characterizing the forest vegetation. The black spruce forest type was most common, followed by Alaska paper birch, and white spruce, quaking aspen, and balsam poplar. For individual tree species, black spruce was recorded on 68...

  14. Strategies for Preserving Owner Privacy in the National Information Management System of the USDA Forest Service's Forest Inventory and Analysis Unit

    Treesearch

    Andrew Lister; Charles Scott; Susan King; Michael Hoppus; Brett Butler; Douglas Griffith

    2005-01-01

    The Food Security Act of 1985 prohibits the disclosure of any information collected by the USDA Forest Service's FIA program that would link individual landowners to inventory plot information. To address this, we developed a technique based on a "swapping" procedure in which plots with similar characteristics are exchanged, and on a ...

  15. National forests

    Treesearch

    Linda A. Joyce; Geoffry M. Blate; Jeremy S. Littell; Steven G. McNulty; Constance I. Millar; Susanne C. Moser; Ronald P. Neilson; Kathy O' Halloran; David L. Peterson

    2008-01-01

    The National Forest System (NFS) is composed of 155 national forests (NFs) and 20 national grasslands (NGs), which encompass a wide range of ecosystems, harbor much of the nation’s biodiversity, and provide myriad goods and services. The mission of the U.S. Forest Service (USFS), which manages the NFS, has broadened from water and timber to sustaining ecosystem health...

  16. Species Composition of Down Dead and Standing Live Trees: Implications for Forest Inventory Analysis

    Treesearch

    Christopher W. Woodall; Linda Nagel

    2005-01-01

    The assessment of species composition in most forest inventory analysis relies solely on standing live tree information characterized by current forest type. With the implementation of the third phase of the U.S. Department of Agriculture Forest Service's Forest Inventory and Analysis program, the species composition of down dead trees, otherwise termed coarse...

  17. Missouri's forest 1999-2003, part B

    Treesearch

    Andrew D. Hill; Mark H. Hansen; W. Keith Moser; Gary Brand; Ronald E. McRoberts

    2011-01-01

    This report presents the methods used in the 1999-2003 inventory of the forest resources of Missouri along with tables of important forest attribute estimates and discussion of quality of these estimates. This inventory is part of the Forest Inventory and Analysis (FIA) program conducted by U.S. Forest Service, a national program to continuously inventory and report on...

  18. The use of aerial photographs and angle-gauge sampling of tree crown diameters for forest inventories

    Treesearch

    Lawrence R. Gering; Dennis M. May; Kurt B. Teuber

    1990-01-01

    The Forest Inventory and Analysis unit of the Southern Forest Experiment Station is charged with conducting continuous inventories of the forest resources of the Midsouth.Techniques that offer innovative approaches for improving the efficiency of these inventories are in demand.One new approach for estimating the density of forest stands involves the derivation of a...

  19. The value of volume and growth measurements in timber sales management of the National Forests

    NASA Technical Reports Server (NTRS)

    Lietzke, K. R.

    1977-01-01

    This paper summarizes work performed in the estimation of gross social value of timber volume and growth rate information used in making regional harvest decisions in the National Forest System. A model was developed to permit parametric analysis. The problem is formulated as one of finding optimal inventory holding patterns. Public timber management differs from other inventory holding problems in that the inventory, itself, generates value over time in providing recreational, aesthetic and environmental goods. 'Nontimber' demand estimates are inferred from past Forest Service harvest and sales levels. The solution requires a description of the harvest rates which maintain the optimum inventory level. Gross benefits of the Landsat systems are estimated by comparison with Forest Service information gathering models. Gross annual benefits are estimated to be $5.9 million for the MSS system and $7.2 million for the TM system.

  20. The components of change for an annual forest inventory design

    Treesearch

    Francis A. Roesch

    2007-01-01

    The sample design of the USDA Forest Service's Forest Inventory and Analysis Program (FIA) with respect to a three-dimensional population (forest area X time) of tree attributes is formally defined and evaluated. The definitions for both the traditional components of growth, as presented by Meyer (1953, Forest Mensuration), and a discrete analog to the time...

  1. North Carolina, 2011 forest inventory and analysis factsheet

    Treesearch

    Mark J. Brown; Barry D. New

    2013-01-01

    Forest Inventory and Analysis (FIA) factsheets are produced periodically to keep the public updated on the extent and condition of forest lands in each State. Estimates in the factsheets are based upon data collected from thousands of sample plots distributed across the landscape in a systematic manner. In North Carolina, this process is a collaborative effort between...

  2. An analysis of Minnesota's fifth forest resources inventory, 1990.

    Treesearch

    Earl C. Leatherberry; John S. Jr. Spencer; Thomas L. Schmidt; Michael R. Carroll

    1995-01-01

    The fifth Minnesota forest inventory found 16.7 million acres of forest land in 1990, of which 14.7 million acres is timberland. Growing-stock volume on timberland increased from 12.4 to 15.1 billion cubic feet between 1977 and 1990, a gain of 22%. Analysis and statistics on forest area, timber volume, growth, removals, mortality, and projections are presented.

  3. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015

    Treesearch

    Sharon M. Stanton; Glenn A. Christensen

    2016-01-01

    These proceedings report invited presentations and contributions to the 2015 Forest Inventory and Analysis (FIA) Symposium, which was hosted by the Research and Development branch of the U.S. Forest Service. As the only comprehensive and continuous census of the forests in the United States, FIA provides strategic information needed to evaluate sustainability of...

  4. Stocking, Forest Type, and Stand Size Class - The Southern Forest Inventory and Analysis Unit's Calculation of Three Important Stand Descriptors

    Treesearch

    Dennis M. May

    1990-01-01

    The procedures by which the Southern Forest Inventory and Analysis unit calculates stocking from tree data collected on inventory sample plots are described in this report. Stocking is then used to ascertain two other important stand descriptors: forest type and stand size class. Inventory data for three plots from the recently completed 1989 Tennessee survey are used...

  5. North Dakota's forest resources in 2005

    Treesearch

    David E. Haugen; Gary J. Brand; Michael Kangas

    2006-01-01

    This report completes the first 5 years of the annual forest inventory in North Dakota and presents estimates of forest area, volume, and biomass for 2005. It is part of the national effort of annual forest inventory authorized by the 1998 Farm Bill. Sine the third forest inventory, in 1994, total forest land area has increased by 51,000 acres. Private forest land...

  6. An urban forest-inventory-and-analysis investigation in Oregon and Washington

    Treesearch

    Jacob L. Strunk; John R. Mills; Paul Ries; Hailemariam Temesgen; Lacey Jeroue

    2016-01-01

    The U.S. Department of Agriculture (USDA) Forest Service, Forest Inventory and Analysis program recently inventoried trees on 257 sample plots in the urbanized areas of Oregon and Washington. Plots were located on the standard grid (≈1 plot/2428 ha) and installed with the 4-subplot footprint (≈.067 ha with 4 circular subplots). Using these data, we examined: 1) use of...

  7. Forests of Ohio, 2013

    Treesearch

    Richard H. Widmann

    2014-01-01

    This publication provides an overview of the forest resources in Ohio based upon inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Information about the national and regional FIA program is available online at http://fia.fs.fed.us. Since 2001, FIA has implemented an annual inventory in Ohio....

  8. Forests of Maryland, 2013

    Treesearch

    T.W. Lister; S.A. Pugh

    2014-01-01

    This publication provides an overview of forest resources in Maryland based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Information about the national and regional FIA program is available online at http://fia.fs.fed.us. Since 2004, FIA has employed an annual inventory measuring data...

  9. Forests of Maine, 2015

    Treesearch

    Emily S. Huff; William H. McWilliams

    2016-01-01

    This publication provides an overview of the forest resources in Maine based upon inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Information about the national and regional FIA program is available online at http://fia.fs.fed.us. Since 1999, FIA has implemented an annual inventory...

  10. Forests of Pennsylvania, 2013

    Treesearch

    George L. McCaskill

    2014-01-01

    This publication provides an overview of the forest resources in Pennsylvania based upon inventories conducted by the USDA Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Information about the national and regional FIA program is available online at http://fia.fs.fed.us. Since 1999, FIA has implemented an annual inventory...

  11. Forests of Maine, 2013

    Treesearch

    George L. McCaskill

    2014-01-01

    This publication provides an overview of the forest resources in Maine based upon inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Information about the national and regional FIA program is available online at http://fia.fs.fed.us. Since 1999, FIA has implemented an annual inventory...

  12. Forests of Maine, 2014

    Treesearch

    George L. McCaskill

    2015-01-01

    This publication provides an overview of the forest resources in Maine based upon inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Information about the national and regional FIA program is available online at http://fia.fs.fed.us. Since 1999, FIA has implemented an annual inventory...

  13. Forests of Delaware, 2013

    Treesearch

    T.W. Lister; S.A. Pugh

    2014-01-01

    This publication provides an overview of forest resources in Delaware based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Information about the national and regional FIA program is available online at http://fia.fs.fed.us. Since 2004, FIA has employed an annual inventory measuring data...

  14. Sampling procedures for inventory of commercial volume tree species in Amazon Forest.

    PubMed

    Netto, Sylvio P; Pelissari, Allan L; Cysneiros, Vinicius C; Bonazza, Marcelo; Sanquetta, Carlos R

    2017-01-01

    The spatial distribution of tropical tree species can affect the consistency of the estimators in commercial forest inventories, therefore, appropriate sampling procedures are required to survey species with different spatial patterns in the Amazon Forest. For this, the present study aims to evaluate the conventional sampling procedures and introduce the adaptive cluster sampling for volumetric inventories of Amazonian tree species, considering the hypotheses that the density, the spatial distribution and the zero-plots affect the consistency of the estimators, and that the adaptive cluster sampling allows to obtain more accurate volumetric estimation. We use data from a census carried out in Jamari National Forest, Brazil, where trees with diameters equal to or higher than 40 cm were measured in 1,355 plots. Species with different spatial patterns were selected and sampled with simple random sampling, systematic sampling, linear cluster sampling and adaptive cluster sampling, whereby the accuracy of the volumetric estimation and presence of zero-plots were evaluated. The sampling procedures applied to species were affected by the low density of trees and the large number of zero-plots, wherein the adaptive clusters allowed concentrating the sampling effort in plots with trees and, thus, agglutinating more representative samples to estimate the commercial volume.

  15. Forest Inventory and Analysis Database of the United States of America (FIA)

    Treesearch

    Andrew N. Gray; Thomas J. Brandeis; John D. Shaw; William H. McWilliams; Patrick Miles

    2012-01-01

    Extensive vegetation inventories established with a probabilistic design are an indispensable tool in describing distributions of species and community types and detecting changes in composition in response to climate or other drivers. The Forest Inventory and Analysis Program measures vegetation in permanent plots on forested lands across the United States of America...

  16. Forest inventory with LiDAR and stereo DSM on Washington department of natural resources lands

    Treesearch

    Jacob L. Strunk; Peter J. Gould

    2015-01-01

    DNR’s forest inventory group has completed its first version of a new remote-sensing based forest inventory system covering 1.4 million acres of DNR forest lands. We use a combination of field plots, lidar, NAIP, and a NAIP-derived canopy surface DSM. Given that height drives many key inventory variables (e.g. height, volume, biomass, carbon), remote-sensing derived...

  17. The Southern Annual Forest Inventory System

    Treesearch

    Gregory A. Reams; Paul C. van Deusen

    1999-01-01

    The Southern Annual Forest Inventory System (SAFIS) is in various stages of implementation in 7 of the 13 southern states serviced by the Southern Research Station. The SAFIS design is an interpenetrating design where the n units (1/6 acre plots) are divided into k = 5 panels, each panel containing m = n...

  18. [Carbon storage of forest stands in Shandong Province estimated by forestry inventory data].

    PubMed

    Li, Shi-Mei; Yang, Chuan-Qiang; Wang, Hong-Nian; Ge, Li-Qiang

    2014-08-01

    Based on the 7th forestry inventory data of Shandong Province, this paper estimated the carbon storage and carbon density of forest stands, and analyzed their distribution characteristics according to dominant tree species, age groups and forest category using the volume-derived biomass method and average-biomass method. In 2007, the total carbon storage of the forest stands was 25. 27 Tg, of which the coniferous forests, mixed conifer broad-leaved forests, and broad-leaved forests accounted for 8.6%, 2.0% and 89.4%, respectively. The carbon storage of forest age groups followed the sequence of young forests > middle-aged forests > mature forests > near-mature forests > over-mature forests. The carbon storage of young forests and middle-aged forests accounted for 69.3% of the total carbon storage. Timber forest, non-timber product forest and protection forests accounted for 37.1%, 36.3% and 24.8% of the total carbon storage, respectively. The average carbon density of forest stands in Shandong Province was 10.59 t x hm(-2), which was lower than the national average level. This phenomenon was attributed to the imperfect structure of forest types and age groups, i. e., the notably higher percentage of timber forests and non-timber product forest and the excessively higher percentage of young forests and middle-aged forest than mature forests.

  19. A novel statistical methodology to overcome sampling irregularities in the forest inventory data and to model forest changes under dynamic disturbance regimes

    Treesearch

    Nikolay Strigul; Jean Lienard

    2015-01-01

    Forest inventory datasets offer unprecedented opportunities to model forest dynamics under evolving environmental conditions but they are analytically challenging due to irregular sampling time intervals of the same plot, across the years. We propose here a novel method to model dynamic changes in forest biomass and basal area using forest inventory data. Our...

  20. A simulation of image-assisted forest monitoring for national inventories

    Treesearch

    Francis Roesch

    2016-01-01

    The efficiency of national forest monitoring efforts can be increased by the judicious incorporation of ancillary data. For instance, a fixed number of ground plots might be used to inform a larger set of annual estimates by observing a smaller proportion of the plots each year while augmenting each annual estimate with ancillary data in order to reduce overall costs...

  1. What Data to Use for Forest Conservation Planning? A Comparison of Coarse Open and Detailed Proprietary Forest Inventory Data in Finland

    PubMed Central

    Lehtomäki, Joona; Tuominen, Sakari; Toivonen, Tuuli; Leinonen, Antti

    2015-01-01

    The boreal region is facing intensifying resource extraction pressure, but the lack of comprehensive biodiversity data makes operative forest conservation planning difficult. Many countries have implemented forest inventory schemes and are making extensive and up-to-date forest databases increasingly available. Some of the more detailed inventory databases, however, remain proprietary and unavailable for conservation planning. Here, we investigate how well different open and proprietary forest inventory data sets suit the purpose of conservation prioritization in Finland. We also explore how much priorities are affected by using the less accurate but open data. First, we construct a set of indices for forest conservation value based on quantitative information commonly found in forest inventories. These include the maturity of the trees, tree species composition, and site fertility. Secondly, using these data and accounting for connectivity between forest types, we investigate the patterns in conservation priority. For prioritization, we use Zonation, a method and software for spatial conservation prioritization. We then validate the prioritizations by comparing them to known areas of high conservation value. We show that the overall priority patterns are relatively consistent across different data sources and analysis options. However, the coarse data cannot be used to accurately identify the high-priority areas as it misses much of the fine-scale variation in forest structures. We conclude that, while inventory data collected for forestry purposes may be useful for forest conservation purposes, it needs to be detailed enough to be able to account for more fine-scaled features of high conservation value. These results underline the importance of making detailed inventory data publicly available. Finally, we discuss how the prioritization methodology we used could be integrated into operative forest management, especially in countries in the boreal zone. PMID

  2. What Data to Use for Forest Conservation Planning? A Comparison of Coarse Open and Detailed Proprietary Forest Inventory Data in Finland.

    PubMed

    Lehtomäki, Joona; Tuominen, Sakari; Toivonen, Tuuli; Leinonen, Antti

    2015-01-01

    The boreal region is facing intensifying resource extraction pressure, but the lack of comprehensive biodiversity data makes operative forest conservation planning difficult. Many countries have implemented forest inventory schemes and are making extensive and up-to-date forest databases increasingly available. Some of the more detailed inventory databases, however, remain proprietary and unavailable for conservation planning. Here, we investigate how well different open and proprietary forest inventory data sets suit the purpose of conservation prioritization in Finland. We also explore how much priorities are affected by using the less accurate but open data. First, we construct a set of indices for forest conservation value based on quantitative information commonly found in forest inventories. These include the maturity of the trees, tree species composition, and site fertility. Secondly, using these data and accounting for connectivity between forest types, we investigate the patterns in conservation priority. For prioritization, we use Zonation, a method and software for spatial conservation prioritization. We then validate the prioritizations by comparing them to known areas of high conservation value. We show that the overall priority patterns are relatively consistent across different data sources and analysis options. However, the coarse data cannot be used to accurately identify the high-priority areas as it misses much of the fine-scale variation in forest structures. We conclude that, while inventory data collected for forestry purposes may be useful for forest conservation purposes, it needs to be detailed enough to be able to account for more fine-scaled features of high conservation value. These results underline the importance of making detailed inventory data publicly available. Finally, we discuss how the prioritization methodology we used could be integrated into operative forest management, especially in countries in the boreal zone.

  3. Proceedings of the third annual forest inventory and analysis symposium; 2001 October 17-19; Traverse City, Michigan

    Treesearch

    Ronald E. McRoberts; Gregory A. Reams; Paul C. Van Deusen; John W. Moser

    2003-01-01

    Documents contributions to forest inventory in the areas of sampling, remote sensing, modeling, information management, and analysis with emphasis on implementation of the annual inventory system of the Forest Inventory and Analysis program of the USDA Forest Service.

  4. Top-down and bottom-up approaches to greenhouse gas inventory methods—a comparison between national- and forest-scale reporting methods

    Treesearch

    David Nicholls; Frank Barnes; Felicia Acrea; Chinling Chen; Lara Y. Buluç; Michele M. Parker

    2015-01-01

    Federal agencies are mandated to measure, manage, and reduce greenhouse gas (GHG) emissions. The General Services Administration (GSA) Carbon Footprint Tool (CFT) is an online tool built to utilize measured GHG inventories to help Forest Service units streamline reporting and make informed decisions about operational efficiency. In fiscal year 2013, the Forest Service...

  5. A Checklist of Common Plants of the Appalachian Trail in the Jefferson National Forest, Virginia

    Treesearch

    Arnold Krochmal; Connie Krochmal

    1981-01-01

    This Note lists the plants that a hiker is likely to notice on the Appalachian Trail in the Jefferson National Forest, Virginia. The list is one of the results of an inventory of plant life along the Trail as it passes through Southern National Forests. Only plants that were conspicuous because of their size, large population, or leaf or flower color are listed. Fungi...

  6. Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage

    Treesearch

    Barry Tyler Wilson; Christopher W. Woodall; Douglas M. Griffith

    2013-01-01

    The U.S. has been providing national-scale estimates of forest carbon (C) stocks and stock change to meet United Nations Framework Convention on Climate Change (UNFCCC) reporting requirements for years. Although these currently are provided as national estimates by pool and year to meet greenhouse gas monitoring requirements, there is growing need to disaggregate these...

  7. Towards an effective integration of forest inventories and natural resources surveys: the Italian perspective

    Treesearch

    Piermaria Corona; Marco Marchetti

    2000-01-01

    International and regional efforts to define a suitable list of criteria and indicators for sustainable forest management show the new role of forestry within the environmental sector and the need for an effective integration of forest inventories in natural resources surveys. This paper examines the potential of forest inventories to support such needs, with specific...

  8. Modelling the vertical distribution of canopy fuel load using national forest inventory and low-density airbone laser scanning data.

    PubMed

    González-Ferreiro, Eduardo; Arellano-Pérez, Stéfano; Castedo-Dorado, Fernando; Hevia, Andrea; Vega, José Antonio; Vega-Nieva, Daniel; Álvarez-González, Juan Gabriel; Ruiz-González, Ana Daría

    2017-01-01

    The fuel complex variables canopy bulk density and canopy base height are often used to predict crown fire initiation and spread. Direct measurement of these variables is impractical, and they are usually estimated indirectly by modelling. Recent advances in predicting crown fire behaviour require accurate estimates of the complete vertical distribution of canopy fuels. The objectives of the present study were to model the vertical profile of available canopy fuel in pine stands by using data from the Spanish national forest inventory plus low-density airborne laser scanning (ALS) metrics. In a first step, the vertical distribution of the canopy fuel load was modelled using the Weibull probability density function. In a second step, two different systems of models were fitted to estimate the canopy variables defining the vertical distributions; the first system related these variables to stand variables obtained in a field inventory, and the second system related the canopy variables to airborne laser scanning metrics. The models of each system were fitted simultaneously to compensate the effects of the inherent cross-model correlation between the canopy variables. Heteroscedasticity was also analyzed, but no correction in the fitting process was necessary. The estimated canopy fuel load profiles from field variables explained 84% and 86% of the variation in canopy fuel load for maritime pine and radiata pine respectively; whereas the estimated canopy fuel load profiles from ALS metrics explained 52% and 49% of the variation for the same species. The proposed models can be used to assess the effectiveness of different forest management alternatives for reducing crown fire hazard.

  9. Modelling the vertical distribution of canopy fuel load using national forest inventory and low-density airbone laser scanning data

    PubMed Central

    Castedo-Dorado, Fernando; Hevia, Andrea; Vega, José Antonio; Vega-Nieva, Daniel; Ruiz-González, Ana Daría

    2017-01-01

    The fuel complex variables canopy bulk density and canopy base height are often used to predict crown fire initiation and spread. Direct measurement of these variables is impractical, and they are usually estimated indirectly by modelling. Recent advances in predicting crown fire behaviour require accurate estimates of the complete vertical distribution of canopy fuels. The objectives of the present study were to model the vertical profile of available canopy fuel in pine stands by using data from the Spanish national forest inventory plus low-density airborne laser scanning (ALS) metrics. In a first step, the vertical distribution of the canopy fuel load was modelled using the Weibull probability density function. In a second step, two different systems of models were fitted to estimate the canopy variables defining the vertical distributions; the first system related these variables to stand variables obtained in a field inventory, and the second system related the canopy variables to airborne laser scanning metrics. The models of each system were fitted simultaneously to compensate the effects of the inherent cross-model correlation between the canopy variables. Heteroscedasticity was also analyzed, but no correction in the fitting process was necessary. The estimated canopy fuel load profiles from field variables explained 84% and 86% of the variation in canopy fuel load for maritime pine and radiata pine respectively; whereas the estimated canopy fuel load profiles from ALS metrics explained 52% and 49% of the variation for the same species. The proposed models can be used to assess the effectiveness of different forest management alternatives for reducing crown fire hazard. PMID:28448524

  10. Modeled forest inventory data suggest climate benefits from fuels management

    Treesearch

    Jeremy S. Fried; Theresa B. Jain; Jonathan. Sandquist

    2013-01-01

    As part of a recent synthesis addressing fuel management in dry, mixed-conifer forests we analyzed more than 5,000 Forest Inventory and Analysis (FIA) plots, a probability sample that represents 33 million acres of these forests throughout Washington, Oregon, Idaho, Montana, Utah, and extreme northern California. We relied on the BioSum analysis framework that...

  11. Effects of Model Choice and Forest Structure on Inventory-Based Estimations of Puerto Rican Forest Biomass.

    Treesearch

    THOMAS J. BRANDEIS; MARIA DEL ROCIO SUAREZ ROZO

    2005-01-01

    Total aboveground live tree biomass in Puerto Rican lower montane wet, subtropical wet, subtropical moist and subtropical dry forests was estimated using data from two forest inventories and published regression equations. Multiple potentially-applicable published biomass models existed for some forested life zones, and their estimates tended to diverge with increasing...

  12. Effects of model choice and forest structure on inventory-based estimations of Puerto Rican forest biomass

    Treesearch

    Thomas J. Brandeis; Maria Del Rocio; Suarez Rozo

    2005-01-01

    Total aboveground live tree biomass in Puerto Rican lower montane wet, subtropical wet, subtropical moist and subtropical dry forests was estimated using data from two forest inventories and published regression equations. Multiple potentially-applicable published biomass models existed for some forested life zones, and their estimates tended to diverge with increasing...

  13. Annual forest inventory estimates based on the moving average

    Treesearch

    Francis A. Roesch; James R. Steinman; Michael T. Thompson

    2002-01-01

    Three interpretations of the simple moving average estimator, as applied to the USDA Forest Service's annual forest inventory design, are presented. A corresponding approach to composite estimation over arbitrarily defined land areas and time intervals is given for each interpretation, under the assumption that the investigator is armed with only the spatial/...

  14. The forest inventory and analysis program: what's in it for landowners?

    Treesearch

    Richard Harper

    2009-01-01

    In 1597, Sir Francis Bacon coined the phrase, "Knowledge is power." KnOwledge today often means knowing where to find reliable information from branded research sources. One such source that benefits forest landowners and the forest community is the Forest Inventory and Analysis (FIA) program.

  15. National forests on the edge: development pressures on America's National Forest system.

    Treesearch

    Eric M. White; Ralph J. Alig

    2007-01-01

    Nationwide, the national forest system covers 192 million acres and contains 155 national forests and 20 national grasslands. These national forest system lands provide a variety of social, cultural, and economic benefits to society. An increasing number of housing units are now located along and near the boundaries of national forests, resulting from desires to reside...

  16. National forest cover monitoring in mainland South and Southeast Asia: method development and capacity building

    NASA Astrophysics Data System (ADS)

    Tyukavina, A.; Potapov, P.; Hansen, M.; Talero, Y.; Turubanova, S.; Pickering, J.; Pickens, A. H.; Quyen, N. H.; Spirovska Kono, M.

    2017-12-01

    Timely forest monitoring data produced following good practice guidance are required for national reporting on greenhouse gas emissions, national forest resource assessments, and monitoring for REDD+ projects. Remote sensing provides a cost-efficient supplement to national forest inventories, and is often the single viable source of data on forest extent for countries still in the process of establishing field-based inventories. Operational forest monitoring using remotely sensed data requires technical capacity to store, process, and analyze high volumes of satellite imagery. The University of Maryland Global Land Analysis and Discovery (UMD GLAD) lab possesses such technical capacity and is seeking to transfer it to national agencies responsible for forest reporting, national academic institutions, and NGOs. Our projects in South and Southeast Asia include regional forest monitoring in the lower Mekong region in support of the Regional Land Cover Monitoring System (funded by the NASA SERVIR program) and building capacity for forest monitoring in Nepal, Bangladesh, Vietnam, Cambodia, Laos, and Thailand (funded by the SilvaCarbon program). Our forest monitoring approach is a regional scale adaptation of methods developed for the global analysis (Hansen et al. 2013). The methodology to track large-scale clearing of natural forests (e.g. in Brazil and Indonesia) is well established; however, the methods for small-scale disturbance mapping and tree cover rotation assessment are still in development. In Bangladesh our mapping of tree cover change between 2000-2014 revealed that 54% of the tree canopy cover was outside forests, and the majority of canopy changes were smaller than 0.1 ha. Landsat's 30-m resolution was therefore insufficient to monitor changes in tree cover. By using a probability sample of high resolution (circa 1 m) imagery we were able to quantify change in tree canopy cover outside forests (including village woodlots, tree plantations and agroforestry

  17. Field methods and data processing techniques associated with mapped inventory plots

    Treesearch

    William A. Bechtold; Stanley J. Zarnoch

    1999-01-01

    The U.S. Forest Inventory and Analysis (FIA) and Forest Health Monitoring (FHM) programs utilize a fixed-area mapped-plot design as the national standard for extensive forest inventories. The mapped-plot design is explained, as well as the rationale for its selection as the national standard. Ratio-of-means estimators am presented as a method to process data from...

  18. Estimation procedures for the combined 1990s periodic forest inventories of California, Oregon, and Washington.

    Treesearch

    T.M. Barrett

    2004-01-01

    During the 1990s, forest inventories for California, Oregon, and Washington were conducted by different agencies using different methods. The Pacific Northwest Research Station Forest Inventory and Analysis program recently integrated these inventories into a single database. This document briefly describes potential statistical methods for estimating population totals...

  19. Forest health assessment for eastern hardwood forests

    Treesearch

    Daniel B. Twardus

    1995-01-01

    Information presented here, was obtained generally from 3 sources: the Cooperative Forest Health Protection Program, the Forest Inventory and Analysis Program and the National Forest Health Monitoring Program. The Cooperative Forest Health Protection Program is a joint State-Federal effort responsible for forest-wide surveys of forest damage. From these surveys, we...

  20. Fuels Inventories in the Los Alamos National Laboratory Region: 1997

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

    Balice, R.G.; Oswald, B.P.; Martin, C.

    1999-03-01

    Fifty-four sites were surveyed for fuel levels, vegetational structures, and topographic characteristics. Most of the surveyed sites were on Los Alamos National Laboratory property, however, some surveys were also conducted on U.S. Forest Service property. The overall vegetation of these sites ranged from pinon-juniper woodlands to ponderosa pine forests to mixed conifer forests, and the topographic positions included canyons, mesas, and mountains. The results of these surveys indicate that the understory fuels are the greatest in mixed conifer forests and that overstory fuels are greatest in both mixed conifer forests and ponderosa pine forests on mesas. The geographic distribution ofmore » these fuels would suggest a most credible wildfire scenario for the Los Alamos region. Three major fires have occurred since 1954 and these fires behaved in a manner that is consistent with this scenario. The most credible wildfire scenario was also supported by the results of BEHAVE modeling that used the fuels inventory data as inputs. Output from the BEHAVE model suggested that catastrophic wildfires would continue to occur during any season with sufficiently dry, windy weather.« less

  1. Forests of Maine, 2016

    Treesearch

    Brett J. Butler

    2017-01-01

    This publication provides an overview of the forest resources in Maine based upon inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Information about the national and regional FIA program is available online at www.fia.fs.fed.us....

  2. Trends in Connecticut's Forests: A Half-Century of Change

    Treesearch

    Northeastern Research Station and State of Connecticut Department of Environmental Protection Division of Forestry

    2001-01-01

    Forests provide wood and other products, watershed protection, wildlife habitat, biodiversity, a setting for recreation, and much more. Highlighted here are significant trends in Connecticut?s forests over the last half-century. Data are summarized from forest inventories conducted by the USDA Forest Service, which periodically inventories the Nation?s forest resources...

  3. A Comparison of Various Estimators for Updating Forest Area Coverage Using AVHRR and Forest Inventory Data

    Treesearch

    Francis A. Roesch; Paul C. van Deusen; Zhiliang Zhu

    1995-01-01

    Various methods of adjusting low-cost and possibly biased estimates of percent forest coverage from AVHRR data with a subsample of higher-cost estimates from the USDA Forest Service's Forest Inventory and Analysis plots were investigated. Two ratio and two regression estimators were evaluated. Previous work (Zhu and Teuber, 1991) finding that the estimates from...

  4. The effect of using complete and partial forested FIA plot data on biomass and forested area classifications from MODIS satellite data

    Treesearch

    Dumitru Salajanu; Dennis M. Jacobs

    2006-01-01

    Authors’ objective was to determine at what level biomass and forest area obtained from partial and complete forested plot inventory data compares with forested area and biomass estimates from the national inventory data. A subset of 3819 inventory plots (100% forested, 100% non-forested, mixed-forest/non-forest) was used to classify the land cover and model the...

  5. Data bases for forest inventory in the North-Central Region.

    Treesearch

    Jerold T. Hahn; Mark H. Hansen

    1985-01-01

    Describes the data collected by the Forest Inventory and Analysis (FIA) Research Work Unit at the North Central Forest Experiment Station. Explains how interested parties may obtain information from the databases either through direct access or by special requests to the FIA database manager.

  6. Effect of inventory method on niche models: random versus systematic error

    Treesearch

    Heather E. Lintz; Andrew N. Gray; Bruce McCune

    2013-01-01

    Data from large-scale biological inventories are essential for understanding and managing Earth's ecosystems. The Forest Inventory and Analysis Program (FIA) of the U.S. Forest Service is the largest biological inventory in North America; however, the FIA inventory recently changed from an amalgam of different approaches to a nationally-standardized approach in...

  7. Forests of New York, 2013

    Treesearch

    Richard H. Widmann

    2014-01-01

    This publication provides an overview of the forest resources in New York based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Information about the national and regional FIA program is available online at http://fia.fs.fed.us. Since 2003, FIA has implemented an annual inventory in New...

  8. Tree mortality based fire severity classification for forest inventories: A Pacific Northwest national forests example

    Treesearch

    Thomas R. Whittier; Andrew N. Gray

    2016-01-01

    Determining how the frequency, severity, and extent of forest fires are changing in response to changes in management and climate is a key concern in many regions where fire is an important natural disturbance. In the USA the only national-scale fire severity classification uses satellite image changedetection to produce maps for large (>400 ha) fires, and is...

  9. New Tree-Classification System Used by the Southern Forest Inventory and Analysis Unit

    Treesearch

    Dennis M. May; John S. Vissage; D. Vince Few

    1990-01-01

    Trees at USDA Forest Service, Southern Forest Inventory and Analysis, sample locations are classified as growing stock or cull based on their ability to produce sawlogs. The old and new classification systems are compared, and the impacts of the new system on the reporting of tree volumes are illustrated with inventory data from north Alabama.

  10. Inventory shows extent of non-native invasive plants in Minnesota forests

    Treesearch

    W. Keith Moser; Mark D. Nelson; Mark H. Hansen

    2009-01-01

    Readers are no doubt aware of the impact that non-native invasive plants (NNIP) present to Minnesota's ecosystems. The U.S. Forest Service's Northern Research Station (NRS) Forest Inventory and Analysis (FIA) Program is studying what determines where these plants are found, including forest type, tree density, disturbance, productivity, and topography.

  11. The Granite State's Forests: Trends in the Resource

    Treesearch

    Northeastern Research Station

    2002-01-01

    The USDA Forest Service conducts continuing forest inventories of all states to obtain up-to-date information about the forest resources of the Nation. In 1997, the Forest Service in cooperation with the New Hampshire Division of Forests and Lands completed a new inventory of New Hampshire. Previous inventories were conducted in 1948, 1960, 1973, and 1983. Following...

  12. Development and Validation of Spatially Explicit Habitat Models for Cavity-nesting Birds in Fishlake National Forest, Utah

    Treesearch

    Randall A., Jr. Schultz; Thomas C., Jr. Edwards; Gretchen G. Moisen; Tracey S. Frescino

    2005-01-01

    The ability of USDA Forest Service Forest Inventory and Analysis (FIA) generated spatial products to increase the predictive accuracy of spatially explicit, macroscale habitat models was examined for nest-site selection by cavity-nesting birds in Fishlake National Forest, Utah. One FIA-derived variable (percent basal area of aspen trees) was significant in the habitat...

  13. An Approach for Forest Inventory in Canada's Northern Boreal region, Northwest Territories

    NASA Astrophysics Data System (ADS)

    Mahoney, C.; Hopkinson, C.; Hall, R.; Filiatrault, M.

    2017-12-01

    The northern extent of Canada's northern boreal forest is largely inaccessible resulting in logistical, financial, and human challenges with respect to obtaining concise and accurate forest resource inventory (FRI) attributes such as stand height, aboveground biomass and forest carbon stocks. This challenge is further exacerbated by mandated government resource management and reporting of key attributes with respect to assessing impacts of natural disturbances, monitoring wildlife habitat and establishing policies to mitigate effects of climate change. This study presents a framework methodology utilized to inventory canopy height and crown closure over a 420,000 km2 area in Canada's Northwest Territories (NWT) by integrating field, LiDAR and satellite remote sensing data. Attributes are propagated from available field to coincident airborne LiDAR thru to satellite laser altimetry footprints. A quality controlled form of the latter are then submitted to a k-nearest neighbor (kNN) imputation algorithm to produce a continuous map of each attribute on a 30 m grid. The resultant kNN stand height (r=0.62, p=0.00) and crown closure (r=0.64, p=0.00) products were identified as statistically similar to a comprehensive independent airborne LiDAR source. Regional uncertainty can be produced with each attribute to identify areas of potential improvement through future strategic data acquisitions or the fine tuning of model parameters. This study's framework concept was developed to inform Natural Resources Canada - Canadian Forest Service's Multisource Vegetation Inventory and update vast regions of Canada's northern forest inventories, however, its applicability can be generalized to any environment. Not only can such a framework approach incorporate other data sources (such as Synthetic Aperture Radar) to potentially better characterize forest attributes, but it can also utilize future Earth observation mission data (for example ICESat-2) to monitor forest dynamics and the

  14. Improving estimates of forest disturbance by combining observations from Landsat time series with U.S. Forest Service Forest Inventory and Analysis data

    Treesearch

    Todd A. Schroeder; Sean P. Healey; Gretchen G. Moisen; Tracey S. Frescino; Warren B. Cohen; Chengquan Huang; Robert E. Kennedy; Zhiqiang Yang

    2014-01-01

    With earth's surface temperature and human population both on the rise a new emphasis has been placed on monitoring changes to forested ecosystems the world over. In the United States the U.S. Forest Service Forest Inventory and Analysis (FIA) program monitors the forested land base with field data collected over a permanent network of sample plots. Although these...

  15. Contribution of climate, soil, and MODIS predictors when modeling forest inventory invasive species distribution using forest inventory data

    Treesearch

    Dumitru Salajanu; Dennis Jacobs

    2010-01-01

    Forest inventory and analysis data are used to monitor the presence and extent of certain non-native invasive species. Effective control of its spread requires quality spatial distribution information. There is no clear consensus why some ecosystems are more favorable to non-native species. The objective of this study is to evaluate the reelative contribution of geo-...

  16. Volume equations for the Northern Research Station's Forest Inventory and Analysis Program as of 2010

    Treesearch

    Patrick D. Miles; Andrew D. Hill

    2010-01-01

    The U.S. Forest Service's Forest Inventory and Analysis (FIA) program collects sample plot data on all forest ownerships across the United States. This report documents the methodology used to estimate live-tree gross, net, and sound volume for the 24 States inventoried by the Northern Research Station's (NRS) FIA unit. Sound volume is of particular interest...

  17. Forest inventory and analysis program in the Western U.S.

    Treesearch

    Ashley Lehman

    2015-01-01

    The Pacific Northwest (PNW) Research Station’s Forest Inventory and Analysis (FIA) program of the USDA Forest Service monitors and reports on the status and trends of the Pacific Island’s forest resources and ecosystem services. Since 2001 the FIA program has partnered with State and Private Forestry’s, Region 5 and the local governments in the U.S. Affiliated Western...

  18. Forest inventory and analysis program in the Western U.S

    Treesearch

    Ashley Lehman

    2015-01-01

    The Pacific Northwest (PNW) Research Station’s Forest Inventory and Analysis (FIA) program of the USDA Forest Service monitors and reports on the status and trends of the Pacific Island’s forest resources and ecosystem services. Since 2001 the FIA program has partnered with State and Private Forestry’s, Region 5 and the local governments in the U.S. Affiliated Western...

  19. A preliminary test of an ecological classification system for the Oconee National Forest using forest inventory and analysis data

    Treesearch

    W. Henry McNab; Ronald B. Stephens; Richard D. Rightmyer; Erika M. Mavity; Samuel G. Lambert

    2012-01-01

    An ecological classification system (ECS) has been developed for use in evaluating management, conservation and restoration options for forest and wildlife resources on the Oconee National Forest. Our study was the initial evaluation of the ECS to determine if the units at each level differed in potential productivity. We used loblolly pine (Pinus taeda...

  20. Analyzing lichen indicator data in the Forest Inventory and Analysis Program

    Treesearch

    Susan Will-Wolf

    2010-01-01

    Lichens are one of several forest health indicators sampled every year for a subset of plots on the permanent grid established by the Forest Inventory and Analysis (FIA) Program of the U.S. Department of Agriculture Forest Service. This report reviews analysis procedures for standard FIA lichen indicator data. Analyses of lichen data contribute to state, regional, and...

  1. Tree migration detection through comparisons of historic and current forest inventories

    Treesearch

    Christopher W. Woodall; Christopher M. Oswalt; James A. Westfall; Charles H. Perry; Mark N. Nelson

    2009-01-01

    Changes in tree species distributions are a potential impact of climate change on forest ecosystems. The examination of tree species shifts in forests of the eastern United States largely has been limited to modeling activities with little empirical analysis of long-term forest inventory datasets. The goal of this study was to compare historic and current spatial...

  2. COLE: A Web-based Tool for Interfacing with Forest Inventory Data

    Treesearch

    Patrick Proctor; Linda S. Heath; Paul C. Van Deusen; Jeffery H. Gove; James E. Smith

    2005-01-01

    We are developing an online computer program to provide forest carbon related estimates for the conterminous United States (COLE). Version 1.0 of the program features carbon estimates based on data from the USDA Forest Service Eastwide Forest Inventory database. The program allows the user to designate an area of interest, and currently provides area, growing-stock...

  3. Forests of Pennsylvania, 2016

    Treesearch

    Thomas A. Albright

    2017-01-01

    This resource update provides an overview of the forest resources in Pennsylvania based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Estimates are based on field data collected using the FIA annualized sample design and are updated yearly. Information about the national and regional...

  4. Forests of Ohio, 2016

    Treesearch

    Thomas A. Albright

    2017-01-01

    This resource update provides an overview of the forest resources in Ohio based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Estimates are based on field data collected using the FIA annualized sample design and are updated yearly.1 Information about the national and regional FIA...

  5. Imputatoin and Model-Based Updating Technique for Annual Forest Inventories

    Treesearch

    Ronald E. McRoberts

    2001-01-01

    The USDA Forest Service is developing an annual inventory system to establish the capability of producing annual estimates of timber volume and related variables. The inventory system features measurement of an annual sample of field plots with options for updating data for plots measured in previous years. One imputation and two model-based updating techniques are...

  6. National Mobile Inventory Model (NMIM)

    EPA Pesticide Factsheets

    The National Mobile Inventory Model (NMIM) is a free, desktop computer application developed by EPA to help you develop estimates of current and future emission inventories for on-road motor vehicles and nonroad equipment. To learn more search the archive

  7. Constancy and cover of plants in the Petersburg and Wrangell Districts, Tongass National Forest and associated private and other public lands, southeast Alaska.

    Treesearch

    Bert R. Mead

    2002-01-01

    This study provides a comprehensive and inclusive description and inventory of the vegetation within the Stikine area of southeast Alaska. Private and other public lands were included as well as Tongass National Forest lands contained in the Petersburg and Wrangell Ranger Districts. Previous inventories have concentrated almost exclusively on tree species within forest...

  8. Progress in adapting k-NN methods for forest mapping and estimation using the new annual Forest Inventory and Analysis data

    Treesearch

    Reija Haapanen; Kimmo Lehtinen; Jukka Miettinen; Marvin E. Bauer; Alan R. Ek

    2002-01-01

    The k-nearest neighbor (k-NN) method has been undergoing development and testing for applications with USDA Forest Service Forest Inventory and Analysis (FIA) data in Minnesota since 1997. Research began using the 1987-1990 FIA inventory of the state, the then standard 10-point cluster plots, and Landsat TM imagery. In the past year, research has moved to examine...

  9. Satellite inventory of Minnesota forest resources

    NASA Technical Reports Server (NTRS)

    Bauer, Marvin E.; Burk, Thomas E.; Ek, Alan R.; Coppin, Pol R.; Lime, Stephen D.; Walsh, Terese A.; Walters, David K.; Befort, William; Heinzen, David F.

    1993-01-01

    The methods and results of using Landsat Thematic Mapper (TM) data to classify and estimate the acreage of forest covertypes in northeastern Minnesota are described. Portions of six TM scenes covering five counties with a total area of 14,679 square miles were classified into six forest and five nonforest classes. The approach involved the integration of cluster sampling, image processing, and estimation. Using cluster sampling, 343 plots, each 88 acres in size, were photo interpreted and field mapped as a source of reference data for classifier training and calibration of the TM data classifications. Classification accuracies of up to 75 percent were achieved; most misclassification was between similar or related classes. An inverse method of calibration, based on the error rates obtained from the classifications of the cluster plots, was used to adjust the classification class proportions for classification errors. The resulting area estimates for total forest land in the five-county area were within 3 percent of the estimate made independently by the USDA Forest Service. Area estimates for conifer and hardwood forest types were within 0.8 and 6.0 percent respectively, of the Forest Service estimates. A trial of a second method of estimating the same classes as the Forest Service resulted in standard errors of 0.002 to 0.015. A study of the use of multidate TM data for change detection showed that forest canopy depletion, canopy increment, and no change could be identified with greater than 90 percent accuracy. The project results have been the basis for the Minnesota Department of Natural Resources and the Forest Service to define and begin to implement an annual system of forest inventory which utilizes Landsat TM data to detect changes in forest cover.

  10. Southern forest inventory and analysis volume equation user’s guide

    Treesearch

    Christopher M. Oswalt; Roger C. Conner

    2011-01-01

    Reliable volume estimation procedures are fundamental to the mission of the Forest Inventory and Analysis (FIA) program. Moreover, public access to FIA program procedures is imperative. Here we present the volume estimation procedures used by the southern FIA program of the U.S. Department of Agriculture Forest Service Southern Research Station. The guide presented...

  11. Effects of lidar pulse density and sample size on a model-assisted approach to estimate forest inventory variables

    Treesearch

    Jacob Strunk; Hailemariam Temesgen; Hans-Erik Andersen; James P. Flewelling; Lisa Madsen

    2012-01-01

    Using lidar in an area-based model-assisted approach to forest inventory has the potential to increase estimation precision for some forest inventory variables. This study documents the bias and precision of a model-assisted (regression estimation) approach to forest inventory with lidar-derived auxiliary variables relative to lidar pulse density and the number of...

  12. Timber resource statistics for the Chatham area of the Tongass National Forest, Alaska, 1982.

    Treesearch

    George Rogers; Willern W.S. van Hees

    1991-01-01

    Statistics on forest area, total gross and net volumes, and annual net growth and mortality are presented from the 1980-82 timber inventory of the Chatham Area, Tongass National Forest, Alaska. Available timberland area is estimated at 1.4 million acres, net growing stock volume at 7.2 billion cubic feet, and annual net growth and mortality at 35.9 and 54.8 million...

  13. Timber resource statistics for the Stikine area of the Tongass National Forest, Alaska, 1984.

    Treesearch

    George Rogers; Wlllem W.S. van Hees

    1991-01-01

    Statistics on forest area, total gross and net timber volumes, and annual net growth and mortality are presented from the 1983-84 timber inventory of the Stikine Area, Tongass National Forest, Alaska. Available timberland area is estimated at 1.2 million acres, net growing stock volume at 7.2 billion cubic feet, and annual net growth and mortality at 18.8 and 57.0...

  14. Timber resource statistics for the Ketchikan area of the Tongass National Forest, Alaska, 1985.

    Treesearch

    George Rogers; Willem W.S. van Hees

    1991-01-01

    Statistics on forest area, total gross and net volumes, and annual net growth and mortality are presented from the 1984-85 timber inventory of the Ketchikan Area, Tongass National Forest, Alaska. Available timberland area is estimated at 1.5 million acres, net growing stock volume at 8.2 billion cubic feet, and annual net growth and mortality at 24.8 and 65.6 million...

  15. Change in avian abundance predicted from regional forest inventory data

    USGS Publications Warehouse

    Twedt, Daniel J.; Tirpak, John M.; Jones-Farrand, D. Todd; Thompson, Frank R.; Uihlein, William B.; Fitzgerald, Jane A.

    2010-01-01

    An inability to predict population response to future habitat projections is a shortcoming in bird conservation planning. We sought to predict avian response to projections of future forest conditions that were developed from nationwide forest surveys within the Forest Inventory and Analysis (FIA) program. To accomplish this, we evaluated the historical relationship between silvicolous bird populations and FIA-derived forest conditions within 25 ecoregions that comprise the southeastern United States. We aggregated forest area by forest ownership, forest type, and tree size-class categories in county-based ecoregions for 5 time periods spanning 1963-2008. We assessed the relationship of forest data with contemporaneous indices of abundance for 24 silvicolous bird species that were obtained from Breeding Bird Surveys. Relationships between bird abundance and forest inventory data for 18 species were deemed sufficient as predictive models. We used these empirically derived relationships between regional forest conditions and bird populations to predict relative changes in abundance of these species within ecoregions that are anticipated to coincide with projected changes in forest variables through 2040. Predicted abundances of these 18 species are expected to remain relatively stable in over a quarter (27%) of the ecoregions. However, change in forest area and redistribution of forest types will likely result in changed abundance of some species within many ecosystems. For example, abundances of 11 species, including pine warbler (Dendroica pinus), brown-headed nuthatch (Sitta pusilla), and chuckwills- widow (Caprimulgus carolinensis), are projected to increase within more ecoregions than ecoregions where they will decrease. For 6 other species, such as blue-winged warbler (Vermivora pinus), Carolina wren (Thryothorus ludovicianus), and indigo bunting (Passerina cyanea), we projected abundances will decrease within more ecoregions than ecoregions where they will

  16. Practical Considerations When Using Perturbed Forest Inventory Plot Locations To Develop Spatial Models: A Case Study

    Treesearch

    John W. Coulston; Gregory A. Reams; Ronald E. McRoberts; William D. Smith

    2006-01-01

    U.S. Department of Agriculture Forest Service Forest Inventory and Analysis plot information is used in many capacities including timber inventories, forest health assessments, and environmental risk analyses. With few exceptions, actual plot locations cannot be revealed to the general public. The public does, however, have access to perturbed plot coordinates. The...

  17. Forest Inventory and Analysis (FIA) annual inventory answers the question: What is happening to pinyon-juniper woodlands?

    Treesearch

    John D. Shaw; Brytten E. Steed; Larry T. DeBlander

    2005-01-01

    Widespread mortality in the pinyon-juniper forest type is associated with several years of drought in the southwestern United States. A complex of drought, insects, and disease is responsible for pinyon mortality rates approaching 100% in some areas, while other areas have experienced little or no mortality. Implementation of the Forest Inventory and Analysis (FIA)...

  18. Unlocking the forest inventory data: relating individual tree performance to unmeasured environmental factors.

    PubMed

    Lichstein, Jeremy W; Dushoff, Jonathan; Ogle, Kiona; Chen, Anping; Purves, Drew W; Caspersen, John P; Pacala, Stephen W

    2010-04-01

    Geographically extensive forest inventories, such as the USDA Forest Service's Forest Inventory and Analysis (FIA) program, contain millions of individual tree growth and mortality records that could be used to develop broad-scale models of forest dynamics. A limitation of inventory data, however, is that individual-level measurements of light (L) and other environmental factors are typically absent. Thus, inventory data alone cannot be used to parameterize mechanistic models of forest dynamics in which individual performance depends on light, water, nutrients, etc. To overcome this limitation, we developed methods to estimate species-specific parameters (thetaG) relating sapling growth (G) to L using data sets in which G, but not L, is observed for each sapling. Our approach involves: (1) using calibration data that we collected in both eastern and western North America to quantify the probability that saplings receive different amounts of light, conditional on covariates x that can be obtained from inventory data (e.g., sapling crown class and neighborhood crowding); and (2) combining these probability distributions with observed G and x to estimate thetaG using Bayesian computational methods. Here, we present a test case using a data set in which G, L, and x were observed for saplings of nine species. This test data set allowed us to compare estimates of thetaG obtained from the standard approach (where G and L are observed for each sapling) to our method (where G and x, but not L, are observed). For all species, estimates of thetaG obtained from analyses with and without observed L were similar. This suggests that our approach should be useful for estimating light-dependent growth functions from inventory data that lack direct measurements of L. Our approach could be extended to estimate parameters relating sapling mortality to L from inventory data, as well as to deal with uncertainty in other resources (e.g., water or nutrients) or environmental factors (e

  19. Conducting tests for statistically significant differences using forest inventory data

    Treesearch

    James A. Westfall; Scott A. Pugh; John W. Coulston

    2013-01-01

    Many forest inventory and monitoring programs are based on a sample of ground plots from which estimates of forest resources are derived. In addition to evaluating metrics such as number of trees or amount of cubic wood volume, it is often desirable to make comparisons between resource attributes. To properly conduct statistical tests for differences, it is imperative...

  20. Forest Inventory and Analysis: What it Tells Us About Water Quality in Arkansas

    Treesearch

    Edwin L. Miller; Hal O. Liechty

    2001-01-01

    Forests and forest activities have a significant impact on the amount and quality of surface water in Arkansas. Recognizing this important relationship between forests and water quality, we utilized the Forest Inventory and Analysis (FIA) data from Arkansas to better understand how forest land use in Arkansas has likely influenced the water quality in the State during...

  1. Forest inventories generate scientifically sound information on the forest resource, but do our data and information really matter?

    Treesearch

    Christoph Keinn; Goran Stahl

    2009-01-01

    Current research in forest inventory focuses very much on technical-statistical problems geared mainly to the optimization of data collection and information generation. The basic assumption is that better information leads to better decisions and, therefore, to better forest management and forest policy. Not many studies, however, strive to explicitly establish the...

  2. Modelling the standing timber volume of Baden-Württemberg-A large-scale approach using a fusion of Landsat, airborne LiDAR and National Forest Inventory data

    NASA Astrophysics Data System (ADS)

    Maack, Joachim; Lingenfelder, Marcus; Weinacker, Holger; Koch, Barbara

    2016-07-01

    Remote sensing-based timber volume estimation is key for modelling the regional potential, accessibility and price of lignocellulosic raw material for an emerging bioeconomy. We used a unique wall-to-wall airborne LiDAR dataset and Landsat 7 satellite images in combination with terrestrial inventory data derived from the National Forest Inventory (NFI), and applied generalized additive models (GAM) to estimate spatially explicit timber distribution and volume in forested areas. Since the NFI data showed an underlying structure regarding size and ownership, we additionally constructed a socio-economic predictor to enhance the accuracy of the analysis. Furthermore, we balanced the training dataset with a bootstrap method to achieve unbiased regression weights for interpolating timber volume. Finally, we compared and discussed the model performance of the original approach (r2 = 0.56, NRMSE = 9.65%), the approach with balanced training data (r2 = 0.69, NRMSE = 12.43%) and the final approach with balanced training data and the additional socio-economic predictor (r2 = 0.72, NRMSE = 12.17%). The results demonstrate the usefulness of remote sensing techniques for mapping timber volume for a future lignocellulose-based bioeconomy.

  3. Applicability of the Design Tool for Inventory and Monitoring (DTIM) and the Explore Sample Data Tool for the Assessment of Caribbean Forest Dynamics

    Treesearch

    Humfredo Marcano-Vega; Andrew Lister; Kevin Megown; Charles Scott

    2016-01-01

    There is a growing need within the insular Caribbean for technical assistance in planning forest-monitoring projects and data analysis. This paper gives an overview of software tools developed by the USDA Forest Service’s National Inventory and Monitoring Applications Center and the Remote Sensing Applications Center. We discuss their applicability in the efficient...

  4. Updating Indiana Annual Forest Inventory and Analysis Plot Data Using Eastern Broadleaf Forest Diameter Growth Models

    Treesearch

    Veronica C. Lessard

    2001-01-01

    The Forest Inventory and Analysis (FIA) program of the North Central Research Station (NCRS), USDA Forest Service, has developed nonlinear, individual-tree, distance-independent annual diameter growth models. The models are calibrated for species groups and formulated as the product of an average diameter growth component and a modifier component. The regional models...

  5. Change detection for soil carbon in the forest inventory and analysis

    Treesearch

    An-Min Wu; Edward A. Nater; Charles H. Perry; Brent J. Dalzell; Barry T. Wilson

    2015-01-01

    Estimates of carbon stocks and stock changes in the U.S. Department of Agriculture Forest Service’s Forest Inventory and Analysis (FIA) Program are reported as the official United States submission to the UN Framework Convention on Climate Change. Soil, as a critical component of the forest carbon stocks, has been sampled in about 10-year intervals in FIA with the re-...

  6. From Models to Measurements: Comparing Downed Dead Wood Carbon Stock Estimates in the U.S. Forest Inventory

    PubMed Central

    Domke, Grant M.; Woodall, Christopher W.; Walters, Brian F.; Smith, James E.

    2013-01-01

    The inventory and monitoring of coarse woody debris (CWD) carbon (C) stocks is an essential component of any comprehensive National Greenhouse Gas Inventory (NGHGI). Due to the expense and difficulty associated with conducting field inventories of CWD pools, CWD C stocks are often modeled as a function of more commonly measured stand attributes such as live tree C density. In order to assess potential benefits of adopting a field-based inventory of CWD C stocks in lieu of the current model-based approach, a national inventory of downed dead wood C across the U.S. was compared to estimates calculated from models associated with the U.S.’s NGHGI and used in the USDA Forest Service, Forest Inventory and Analysis program. The model-based population estimate of C stocks for CWD (i.e., pieces and slash piles) in the conterminous U.S. was 9 percent (145.1 Tg) greater than the field-based estimate. The relatively small absolute difference was driven by contrasting results for each CWD component. The model-based population estimate of C stocks from CWD pieces was 17 percent (230.3 Tg) greater than the field-based estimate, while the model-based estimate of C stocks from CWD slash piles was 27 percent (85.2 Tg) smaller than the field-based estimate. In general, models overestimated the C density per-unit-area from slash piles early in stand development and underestimated the C density from CWD pieces in young stands. This resulted in significant differences in CWD C stocks by region and ownership. The disparity in estimates across spatial scales illustrates the complexity in estimating CWD C in a NGHGI. Based on the results of this study, it is suggested that the U.S. adopt field-based estimates of CWD C stocks as a component of its NGHGI to both reduce the uncertainty within the inventory and improve the sensitivity to potential management and climate change events. PMID:23544112

  7. From models to measurements: comparing downed dead wood carbon stock estimates in the U.S. forest inventory.

    PubMed

    Domke, Grant M; Woodall, Christopher W; Walters, Brian F; Smith, James E

    2013-01-01

    The inventory and monitoring of coarse woody debris (CWD) carbon (C) stocks is an essential component of any comprehensive National Greenhouse Gas Inventory (NGHGI). Due to the expense and difficulty associated with conducting field inventories of CWD pools, CWD C stocks are often modeled as a function of more commonly measured stand attributes such as live tree C density. In order to assess potential benefits of adopting a field-based inventory of CWD C stocks in lieu of the current model-based approach, a national inventory of downed dead wood C across the U.S. was compared to estimates calculated from models associated with the U.S.'s NGHGI and used in the USDA Forest Service, Forest Inventory and Analysis program. The model-based population estimate of C stocks for CWD (i.e., pieces and slash piles) in the conterminous U.S. was 9 percent (145.1 Tg) greater than the field-based estimate. The relatively small absolute difference was driven by contrasting results for each CWD component. The model-based population estimate of C stocks from CWD pieces was 17 percent (230.3 Tg) greater than the field-based estimate, while the model-based estimate of C stocks from CWD slash piles was 27 percent (85.2 Tg) smaller than the field-based estimate. In general, models overestimated the C density per-unit-area from slash piles early in stand development and underestimated the C density from CWD pieces in young stands. This resulted in significant differences in CWD C stocks by region and ownership. The disparity in estimates across spatial scales illustrates the complexity in estimating CWD C in a NGHGI. Based on the results of this study, it is suggested that the U.S. adopt field-based estimates of CWD C stocks as a component of its NGHGI to both reduce the uncertainty within the inventory and improve the sensitivity to potential management and climate change events.

  8. Forests of New York, 2016

    Treesearch

    Thomas A. Albright; Anthony C. Olsen

    2017-01-01

    This resource update provides an overview of the forest resources in New York based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Estimates are based on field data collected using the FIA annualized sample design and are updated yearly.1Information about the national and regional FIA...

  9. Future forest carbon accounting challenges: the question of regionalization

    Treesearch

    Michael C. Nichols

    2015-01-01

    Forest carbon accounting techniques are changing. This year, a new accounting system is making its debut with the production of forest carbon data for EPA’s National Greenhouse Gas Inventory. The Forest Service’s annualized inventory system is being more fully integrated into estimates of forest carbon at the national and state levels both for the present and the...

  10. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012

    Treesearch

    Randall S. Morin; Greg C. Liknes

    2012-01-01

    These proceedings report invited presentations and contributions to the 2012 biennial Forest Inventory and Analysis (FIA) Symposium, which was hosted by the Research and Development branch of the U.S. Forest Service. As the only comprehensive and continuous census of the forests in the United States, FIA provides strategic information needed to evaluate sustainability...

  11. A primer of nonresponse in the US Forest Inventory and Analysis program

    Treesearch

    Paul L. Patterson; John W. Coulston; Francis A. Roesch; James A. Westfall; Andrew D. Hill

    2012-01-01

    Nonresponse caused by denied access and hazardous conditions are a concern for the USDA Forest Service, Forest Inventory and Analysis (FIA) program, whose mission is to quantify status and trends in forest resources across the USA. Any appreciable amount of nonresponse can cause bias in FIA's estimates of population parameters. This paper will quantify the...

  12. Preparation of Forest Inventory and Analysis (FIA) and State Soil Geographic Data Base (STATSGO) data for global change research in the Eastern United States

    Treesearch

    Loius R. Iverson; Anantha M. G. Prasad; Charles T. Scott

    1996-01-01

    The USDA Forest Service's Forest Inventory and Analysis (FIA) and the Natural Resource Conservation Service's State Soil Geographic (STATSGO) data bases provide valuable natural resource data that can be analyzed at the national scale. When coupled with other data (e.g., climate), these data bases can provide insights into factors associated with current and...

  13. El Yunque National Forest Atlas

    Treesearch

    Maya Quiñones; Isabel K. Parés-Ramos; William A. Gould; Grizelle Gonzalez; Kathleen McGinley; Pedro Ríos

    2018-01-01

    El Yunque National Forest Atlas is a collaborative effort by the International Institute of Tropical Forestry and El Yunque National Forest to provide upto-date maps and analyses of spatial information of an important natural reserve in Puerto Rico and the only tropical forest in the National Forest System of the United States. El Yunque National Forest Atlas serves as...

  14. Spatial distribution of forest aboveground biomass estimated from remote sensing and forest inventory data in New England, USA

    Treesearch

    Daolan Zheng; Linda S. Heath; Mark J. Ducey

    2008-01-01

    We combined satellite (Landsat 7 and Moderate Resolution Imaging Spectrometer) and U.S. Department of Agriculture forest inventory and analysis (FIA) data to estimate forest aboveground biomass (AGB) across New England, USA. This is practical for large-scale carbon studies and may reduce uncertainty of AGB estimates. We estimate that total regional forest AGB was 1,867...

  15. Projecting other public inventories for the 2005 RPA timber assessment update.

    Treesearch

    Xiaoping Zhou; John R. Mills; Richard W. Haynes

    2007-01-01

    This study gives an overview of the current inventory status and the projection of future forest inventories on other public timberland. Other public lands are lands administered by state, local, and federal government but excluding National Forest System lands. These projections were used as part of the 2005 USDA Forest Service Resource Planning Act timber assessment...

  16. A Proposal for Phase 4 of the Forest Inventory and Analysis Program

    Treesearch

    Ronald E. McRoberts

    2005-01-01

    Maps of forest cover were constructed using observations from forest inventory plots, Landsat Thematic Mapper satellite imagery, and a logistic regression model. Estimates of mean proportion forest area and the variance of the mean were calculated for circular study areas with radii ranging from 1 km to 15 km. The spatial correlation among pixel predictions was...

  17. 77 FR 68722 - National Highway-Rail Crossing Inventory Reporting Requirements

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-11-16

    ...-0007, Notice No. 2] RIN 2130-AC26 National Highway-Rail Crossing Inventory Reporting Requirements... Notice of Proposed Rulemaking (NPRM) on National Highway-Rail Crossing Inventory Reporting Requirements... National Highway-Rail Crossing Inventory (Crossing Inventory). This notice announces the scheduling of the...

  18. Arizona's Forest Resources, 1999

    Treesearch

    Renee O' Brien

    2002-01-01

    This report presents a summary of the most recent inventory information for Arizona's forest lands. Much of the data are from the inventory completed in 1999 that included National Forest System lands and reserved lands. This report includes tables and highlights of area, number of trees, biomass, volume, growth, mortality, successional stage, understory...

  19. Use of LIDAR for forest inventory and forest management application

    Treesearch

    Birgit Peterson; Ralph Dubayah; Peter Hyde; Michelle Hofton; J. Bryan Blair; JoAnn Fites-Kaufman

    2007-01-01

    A significant impediment to forest managers has been the difficulty in obtaining large-area forest structure and fuel characteristics at useful resolutions and accuracies. This paper demonstrates how LIDAR data were used to predict canopy bulk density (CBD) and canopy base height (CBH) for an area in the Sierra National Forest. The LIDAR data were used to generate maps...

  20. Oak woodlands and other hardwood forests of California, 1990s.

    Treesearch

    K.L. Waddell; T.M. Barrett

    2005-01-01

    This report provides a multiownership assessment of oak woodlands and other hardwood forests in California, excluding only reserved lands outside of national forests. Because sampling intensity on woodlands was doubled from the previous 1981-84 inventory, and because national forests were inventoried, this is the most complete assessment to date for California...

  1. A Checklist of Common Plants of the Appalachian Trial in the Nantahala National Forest, North Carolina

    Treesearch

    Arnold Krochmal; Connie Krochmal

    1980-01-01

    This Note lists the plants that a hiker is likely to notice on the Appalachian Trail in the Nantahala Forest, North Carolina. The list is one ofthe results of an inventory of plant life along the Trail as it passes through Southern National Forests. Only plants that were conspicuous because of their size, large population, or leaf or flower color are listed. Fungi,...

  2. NPS national transit inventory, 2013

    DOT National Transportation Integrated Search

    2014-07-31

    This document summarizes key highlights from the National Park Service (NPS) 2013 National Transit Inventory, and presents data for NPS transit systems system-wide. The document discusses statistics related to ridership, business models, fleet charac...

  3. The Multiple Species Inventory and Monitoring Protocol: A Population, Community, and Biodiversity Monitoring Solution for National Forest System Lands

    Treesearch

    P. N. Manley; B. Van Horne

    2006-01-01

    The U.S. Forest Service manages approximately 76 million ha (191 million acres) of National Forest System (NFS) lands. The National Forest Management Act (1976) recognizes the importance of maintaining species and ecosystem diversity on NFS lands as a critical component of our ecological and cultural heritage. Information on the condition of populations and habitats of...

  4. Examining Pseudotsuga menziesii biomass change dynamics through succession using a regional forest inventory system

    Treesearch

    David M. Bell; Andrew N. Gray

    2015-01-01

    Models of forest succession provide an appealing conceptual framework for understanding forest dynamics, but uncertainty in the degree to which patterns are regionally consistent might limit the application of successional theory in forest management. Remeasurements of forest inventory networks provide an opportunity to assess this consistency, improving our...

  5. Landscape scale mapping of forest inventory data by nearest neighbor classification

    Treesearch

    Andrew Lister

    2009-01-01

    One of the goals of the Forest Service, U.S. Department of Agriculture's Forest Inventory and Analysis (FIA) program is large-area mapping. FIA scientists have tried many methods in the past, including geostatistical methods, linear modeling, nonlinear modeling, and simple choropleth and dot maps. Mapping methods that require individual model-based maps to be...

  6. Interagency Rare Plant Team inventory results - 1998 through 2003

    Treesearch

    Deborah J. Clark; David A. Tait

    2007-01-01

    Fishlake National Forest, Dixie National Forest, Bureau of Land Management - Richfield Field Office, and Capitol Reef National Park became partners in an Interagency Agreement to inventory and monitor threatened, endangered, and sensitive plant species shared by these agencies. From 1998 to 2003, the Interagency Rare Plant Team surveyed and recorded over 650 new...

  7. Techniques and Considerations for FIA forest fragmentation analysis

    Treesearch

    Andrew J. Lister; Tonya W. Lister; Rachel Riemann; Mike Hoppus

    2002-01-01

    The Forest Inventory and Analysis unit of the Northeastern Research Station (NEFIA) is charged with inventorying and monitoring the Nation's forests. NEFIA has not gathered much information on forest fragmentation, but recent developments in computing and remote sensing technologies now make it possible to assess forest fragmentation on a regional basis. We...

  8. Reducing uncertainty for estimating forest carbon stocks and dynamics using integrated remote sensing, forest inventory and process-based modeling

    NASA Astrophysics Data System (ADS)

    Poulter, B.; Ciais, P.; Joetzjer, E.; Maignan, F.; Luyssaert, S.; Barichivich, J.

    2015-12-01

    Accurately estimating forest biomass and forest carbon dynamics requires new integrated remote sensing, forest inventory, and carbon cycle modeling approaches. Presently, there is an increasing and urgent need to reduce forest biomass uncertainty in order to meet the requirements of carbon mitigation treaties, such as Reducing Emissions from Deforestation and forest Degradation (REDD+). Here we describe a new parameterization and assimilation methodology used to estimate tropical forest biomass using the ORCHIDEE-CAN dynamic global vegetation model. ORCHIDEE-CAN simulates carbon uptake and allocation to individual trees using a mechanistic representation of photosynthesis, respiration and other first-order processes. The model is first parameterized using forest inventory data to constrain background mortality rates, i.e., self-thinning, and productivity. Satellite remote sensing data for forest structure, i.e., canopy height, is used to constrain simulated forest stand conditions using a look-up table approach to match canopy height distributions. The resulting forest biomass estimates are provided for spatial grids that match REDD+ project boundaries and aim to provide carbon estimates for the criteria described in the IPCC Good Practice Guidelines Tier 3 category. With the increasing availability of forest structure variables derived from high-resolution LIDAR, RADAR, and optical imagery, new methodologies and applications with process-based carbon cycle models are becoming more readily available to inform land management.

  9. K-nearest neighbor imputation of forest inventory variables in New Hampshire

    Treesearch

    Andrew Lister; Michael Hoppus; Raymond L. Czaplewski

    2005-01-01

    The k-nearest neighbor (kNN) method was used to map stand volume for a mosaic of 4 Landsat scenes covering the state of New Hampshire. Data for gross cubic foot volume and trees per acre were summarized from USDA Forest Service Forest Inventory and Analysis (FIA) plots and used as training for kNN. Six bands of...

  10. National forests on the edge: development pressures on America's national forests and grasslands.

    Treesearch

    Ralph J. Alig; Eric M. White; Sara J. Comas; Mary Carr; Mike Eley; Kelly Elverum; Mike O' Donnell; David M. Theobald; Ken Cordell; Jonathan Haber; Theodore W. Beauvais

    2007-01-01

    Many of America’s national forests and grasslands—collectively called the National Forest System—face increased risks and alterations from escalating housing development on private rural lands along their boundaries. National forests and grasslands provide critical social, ecological, and economic benefits to the American public. This study projects future housing...

  11. Classifying forest inventory data into species-based forest community types at broad extents: exploring tradeoffs among supervised and unsupervised approaches

    Treesearch

    Jennifer K. Costanza; Don Faber-Langendoen; John W. Coulston; David N. Wear

    2018-01-01

    Background: Knowledge of the different kinds of tree communities that currently exist can provide a baseline for assessing the ecological attributes of forests and monitoring future changes. Forest inventory data can facilitate the development of this baseline knowledge across broad extents, but they first must be classified into forest...

  12. Towards the harmonization between National Forest Inventory and Forest Condition Monitoring. Consistency of plot allocation and effect of tree selection methods on sample statistics in Italy.

    PubMed

    Gasparini, Patrizia; Di Cosmo, Lucio; Cenni, Enrico; Pompei, Enrico; Ferretti, Marco

    2013-07-01

    In the frame of a process aiming at harmonizing National Forest Inventory (NFI) and ICP Forests Level I Forest Condition Monitoring (FCM) in Italy, we investigated (a) the long-term consistency between FCM sample points (a subsample of the first NFI, 1985, NFI_1) and recent forest area estimates (after the second NFI, 2005, NFI_2) and (b) the effect of tree selection method (tree-based or plot-based) on sample composition and defoliation statistics. The two investigations were carried out on 261 and 252 FCM sites, respectively. Results show that some individual forest categories (larch and stone pine, Norway spruce, other coniferous, beech, temperate oaks and cork oak forests) are over-represented and others (hornbeam and hophornbeam, other deciduous broadleaved and holm oak forests) are under-represented in the FCM sample. This is probably due to a change in forest cover, which has increased by 1,559,200 ha from 1985 to 2005. In case of shift from a tree-based to a plot-based selection method, 3,130 (46.7%) of the original 6,703 sample trees will be abandoned, and 1,473 new trees will be selected. The balance between exclusion of former sample trees and inclusion of new ones will be particularly unfavourable for conifers (with only 16.4% of excluded trees replaced by new ones) and less for deciduous broadleaves (with 63.5% of excluded trees replaced). The total number of tree species surveyed will not be impacted, while the number of trees per species will, and the resulting (plot-based) sample composition will have a much larger frequency of deciduous broadleaved trees. The newly selected trees have-in general-smaller diameter at breast height (DBH) and defoliation scores. Given the larger rate of turnover, the deciduous broadleaved part of the sample will be more impacted. Our results suggest that both a revision of FCM network to account for forest area change and a plot-based approach to permit statistical inference and avoid bias in the tree sample

  13. National inventories of down and dead woody material forest carbon stocks in the United States: Challenges and opportunities

    Treesearch

    C.W. Woodall; L.S. Heath; J.E. Smith

    2008-01-01

    Concerns over the effect of greenhouse gases and consequent international agreements and regional/national programs have spurred the need for comprehensive assessments of forest ecosystem carbon stocks. Down and dead woody (DDW) materials are a substantial component of forest carbon stocks; however, few surveys of DDW carbon stocks have been conducted at national-...

  14. Combining mapped and statistical data in forest ecological inventory and monitoring - supplementing an existing system

    Treesearch

    H. T. Schreuder; R. Czaplewski; R. G. Bailey

    1999-01-01

     forest ecological inventory and monitoring system combining information derived from maps and samples is proposed based on ecosystem regions (Bailey, 1994). The system extends the design of the USDA Forest Service Region 6 Inventory and Monitoring System (R6IMS) in the Pacific Northwest of the United States. The key uses of the information are briefly discussed and...

  15. National forest economic clusters: a new model for assessing national-forest-based natural resources products and services.

    Treesearch

    Thomas D. Rojas

    2007-01-01

    National forest lands encompass numerous rural and urban communities. Some national-forest-based communities lie embedded within national forests, and others reside just outside the official boundaries of national forests. The urban and rural communities within or near national forest lands include a wide variety of historical traditions and cultural values that affect...

  16. Forests of southeast and south-central Alaska, 2004–2008: five-year forest inventory and analysis report

    Treesearch

    Tara M. Barrett; Glenn A. Christensen

    2011-01-01

    This report highlights key findings from the most recent (2004–2008) data collected by the Forest Inventory and Analysis program across all ownerships in southeast and south-central Alaska. We present basic resource information such as forest area, ownership, volume, biomass, carbon sequestration, growth, and mortality; structure and function topics such as vegetation...

  17. Using Forest Inventory and Analysis data to model plant-climate relationships

    Treesearch

    Nicholas L. Crookston; Gerald E. Rehfeldt; Marcus V. Warwell

    2007-01-01

    Forest Inventory and Analysis (FIA) data from 11 Western conterminous States were used to (1) estimate and map the climatic profiles of tree species and (2) explore how to include climate variables in individual tree growth equations used in the Forest Vegetation Simulator (FVS). On the first front, we found the FIA data to be useful as training data in Breiman's...

  18. Potential applications of prefield land use and canopy cover data: Examples from nonforest and nonsampled forest inventory plots

    Treesearch

    Sara A. Goeking

    2012-01-01

    The Forest Inventory and Analysis (FIA) prefield workflow involves interpreting aerial imagery to determine whether each plot in a given inventory year may meet FIA’s definition of forest land. The primary purpose of this determination is to minimize inventory costs by avoiding unnecessary ground surveys of plots that are obviously in nonforest areas. Since the...

  19. Curious or spurious correlations within a national-scale forest inventory?

    Treesearch

    Christopher W. Woodall; James A. Westfall

    2012-01-01

    Foresters are increasingly required to assess trends not only in traditional forest attributes (e.g., growing-stock volumes), but also across suites of forest health indicators and site/climate variables. Given the tenuous relationship between correlation and causality within extremely large datasets, the goal of this study was to use a nationwide annual forest...

  20. A test of the Forest Inventory and Analysis Program’s down woody material indicator for regional fuel estimation in the Southern Appalachian Mountains (PROJECT SO-F-06-01)

    Treesearch

    G. Geof Wang; Zhi-Ping Wang; Aaron D. Stottlemyer; Thomas A. Waldrop

    2013-01-01

    Both the National Fire Plan (http://199.134.225.50/nwcc/t2_wa4/ pdf/RuralAssistance.pdf) and the Healthy Forest Initiative (http://www.fs.fed.us/projects/ hfi/2003/august/documents/hfi-fact-sheet. pdf) call for reduction of hazardous fuels. Consequently, estimations of forest fuel loading at various scales become necessary. The Forest Inventory and Analysis (FIA)...

  1. A Simulation Algorithm to Approximate the Area of Mapped Forest Inventory Plots

    Treesearch

    William A. Bechtold; Naser E. Heravi; Matthew E. Kinkenon

    2003-01-01

    Calculating the area of polygons associated with mapped forest inventory plots can be mathematically cumbersome, especially when computing change between inventories. We developed a simulation technique that utilizes a computer-generated dot grid and geometry to estimate the area of mapped polygons within any size circle. The technique also yields a matrix of change in...

  2. Forest inventory: Peter T. Johnson Wildlife Mitigation Unit, Craig Mountain, Idaho. Final Report.

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

    Narolski, Steven W.

    The primary objective of this report is to determine the quantity and quality of existing forest habitat types on the 59,991-acre Peter T. Johnson Wildlife Mitigation Unit (WMU). Products from this effort include a description of the ecological condition, a map of habitat types, and an inventory of forest resources on the WMU lands. The purpose of this and other resource inventories (plant and wildlife) is to assess the current resources condition of the WMU and to provide necessary information to generate a long-term management for this area.

  3. The new forest carbon accounting framework for the United States

    Treesearch

    Grant M. Domke; John W. Coulston; Christopher W. Woodall

    2015-01-01

    The forest carbon accounting system used in recent National Greenhouse Gas Inventories (NGHGI) was developed more than a decade ago when the USDA Forest Service, Forest Inventory and Analysis annual inventory system was in its infancy and contemporary questions regarding the terrestrial sink (e.g., attribution) did not exist. The time has come to develop a new...

  4. New Mexico's Forest Resources, 2000

    Treesearch

    Renee A. O' Brien

    2003-01-01

    This report presents a summary of the most recent inventory information for New Mexico's forest lands. Most of the data are from the inventory completed in 2000 that included National Forest System lands and reserved lands. This report includes descriptive highlights and tables of area, number of trees, biomass, volume, growth, mortality, successional stage,...

  5. PDF Weaving - Linking Inventory Data and Monte Carlo Uncertainty Analysis in the Study of how Disturbance Affects Forest Carbon Storage

    NASA Astrophysics Data System (ADS)

    Healey, S. P.; Patterson, P.; Garrard, C.

    2014-12-01

    Altered disturbance regimes are likely a primary mechanism by which a changing climate will affect storage of carbon in forested ecosystems. Accordingly, the National Forest System (NFS) has been mandated to assess the role of disturbance (harvests, fires, insects, etc.) on carbon storage in each of its planning units. We have developed a process which combines 1990-era maps of forest structure and composition with high-quality maps of subsequent disturbance type and magnitude to track the impact of disturbance on carbon storage. This process, called the Forest Carbon Management Framework (ForCaMF), uses the maps to apply empirically calibrated carbon dynamics built into a widely used management tool, the Forest Vegetation Simulator (FVS). While ForCaMF offers locally specific insights into the effect of historical or hypothetical disturbance trends on carbon storage, its dependence upon the interaction of several maps and a carbon model poses a complex challenge in terms of tracking uncertainty. Monte Carlo analysis is an attractive option for tracking the combined effects of error in several constituent inputs as they impact overall uncertainty. Monte Carlo methods iteratively simulate alternative values for each input and quantify how much outputs vary as a result. Variation of each input is controlled by a Probability Density Function (PDF). We introduce a technique called "PDF Weaving," which constructs PDFs that ensure that simulated uncertainty precisely aligns with uncertainty estimates that can be derived from inventory data. This hard link with inventory data (derived in this case from FIA - the US Forest Service Forest Inventory and Analysis program) both provides empirical calibration and establishes consistency with other types of assessments (e.g., habitat and water) for which NFS depends upon FIA data. Results from the NFS Northern Region will be used to illustrate PDF weaving and insights gained from ForCaMF about the role of disturbance in carbon

  6. National FIA plot intensification procedure report

    Treesearch

    Jock A. Blackard; Paul L. Patterson

    2014-01-01

    The Forest Inventory and Analysis (FIA) program of the U.S. Forest Service (USFS) measures a spatially distributed base grid of forest inventory plots across the United States. The sampling intensity of plots may be increased in some regions when warranted by specific inventory objectives. Several intensification methods have been developed within FIA and USFS National...

  7. NATIONAL HEALTH PROVIDER INVENTORY

    EPA Science Inventory

    The National Health Provider Inventory provides data on services, location, staff, capacity, and other characteristics of selected health care providers in the United States. Information is collected via mail questionnaire with telephone follow up to all providers (100% census) o...

  8. The U.S. forest carbon accounting framework: stocks and stock change, 1990-2016

    Treesearch

    Christopher W. Woodall; John W. Coulston; Grant M. Domke; Brian F. Walters; David N. Wear; James E. Smith; Hans-Erik Andersen; Brian J. Clough; Warren B. Cohen; Douglas M. Griffith; Stephen C. Hagen; Ian S. Hanou; Michael C. Nichols; Charles H. (Hobie) Perry; Matthew B. Russell; Jim Westfall; Barry T. (Ty) Wilson

    2015-01-01

    As a signatory to the United Nations Framework Convention on Climate Change, the United States annually prepares an inventory of carbon that has been emitted and sequestered among sectors (e.g., energy, agriculture, and forests). For many years, the United States developed an inventory of forest carbon by comparing contemporary forest inventories to inventories that...

  9. Using Our National Forests Wisely.

    ERIC Educational Resources Information Center

    Feuchter, Roy

    1987-01-01

    Lists nine steps camps can follow to insure successful use of national forests. Steps are identifying national forest resources; matching expectations with the right setting; using recreation opportunity guides; planning for safety; practicing forest etiquette; practicing fire prevention; knowing the forest environment; participating in volunteer…

  10. Estimating forest floor fuels in eastern U.S. forests

    Treesearch

    David C. Chojnacky; Steven G. McNulty; Jennifer Moore Myers; Michael K. Gavazzi

    2005-01-01

    The Forest Inventory Analysis (FIA) program (U.S. Department of Agriculture, Forest Service) systematically samples the nation's forests and currently measures variable related to down woody material (DWM) on a subsample of its plots in the third phase of a 3-phase sampling design. This paper focuses on: (1) compiling estimates of DWM within limitations of...

  11. Mountain pine beetle infestations and Sudden Aspen Decline in Colorado: Can the Forest Inventory and Analysis annual inventory system address the issues?

    Treesearch

    Michael T. Thompson

    2009-01-01

    There are two events occurring in Colorado that are concerning forest managers in Colorado. There is severe and widespread mortality of lodgepole pine due to the mountain pine beetle and aspen forests in some areas of the state have experienced widespread, severe, and rapid crown deterioration leading to mortality. Implementation of the Forest Inventory and Analysis...

  12. Estimating tree species richness from forest inventory plot data

    Treesearch

    Ronald E. McRoberts; Dacia M. Meneguzzo

    2007-01-01

    Montreal Process Criterion 1, Conservation of Biological Diversity, expresses species diversity in terms of number of forest dependent species. Species richness, defined as the total number of species present, is a common metric for analyzing species diversity. A crucial difficulty in estimating species richness from sample data obtained from sources such as inventory...

  13. North Carolina, 2007: Forest Inventory and Analysis factsheet

    Treesearch

    Mark Brown; Barry D. New

    2011-01-01

    Sixty-three of North Carolina’s 100 counties were > 50 percent forested. Fifteen of these were > 75 percent forested (fig. 1). The majority of these most heavily forested counties were located in the more mountainous regions of the State, usually near or including national forest lands. The remaining two most heavily forested counties were in the lower Coastal...

  14. BIOGENIC HYDROCARBON EMISSION INVENTORY FOR THE U.S. USING A SIMPLE FOREST CANOPY MODEL

    EPA Science Inventory

    A biogenic hydrocarbon emission inventory system, developed for acid deposition and regional oxidant modeling, is described, and results for a U.S. emission inventory are presented. or deciduous and coniferous forests, scaling relationships are used to account for canopy effects ...

  15. FOCIS: A forest classification and inventory system using LANDSAT and digital terrain data

    NASA Technical Reports Server (NTRS)

    Strahler, A. H.; Franklin, J.; Woodcook, C. E.; Logan, T. L.

    1981-01-01

    Accurate, cost-effective stratification of forest vegetation and timber inventory is the primary goal of a Forest Classification and Inventory System (FOCIS). Conventional timber stratification using photointerpretation can be time-consuming, costly, and inconsistent from analyst to analyst. FOCIS was designed to overcome these problems by using machine processing techniques to extract and process tonal, textural, and terrain information from registered LANDSAT multispectral and digital terrain data. Comparison of samples from timber strata identified by conventional procedures showed that both have about the same potential to reduce the variance of timber volume estimates over simple random sampling.

  16. The use of multiple imputation in the Southern Annual Forest Inventory System

    Treesearch

    Gregory A. Reams; Joseph M. McCollum

    2000-01-01

    The Southern Research Station is currently implementing an annual forest survey in 7 of the 13 States that it is responsible for surveying. The Southern Annual Forest Inventory System (SAFIS) sampling design is a systematic sample of five interpenetrating grids, whereby an equal number of plots are measured each year. The area-representative and time-series...

  17. The use of multiple imputation in the Southern Annual Forest Inventory System

    Treesearch

    Gregory A. Reams; Joseph M. McCollum

    2000-01-01

    The Southern Research Station is currently implementing an annual forest survey in 7 of the 13 states that it is responsible for surveying. The Southern Annual Forest Inventory System (SAFIS) sampling design is a systematic sample of five interpenetrating grids, whereby an equal number of plots are measured each year. The area representative and time series nature of...

  18. Design tool for inventory and monitoring

    Treesearch

    Charles T. Scott; Renate Bush

    2009-01-01

    Forest survey planning typically begins by determining the area to be sampled and the attributes to be measured. All too often the data are collected but underutilized because they did not address the critical management questions. The Design Tool for Inventory and Monitoring (DTIM) is being developed by the National Inventory and Monitoring Applications Center in...

  19. Attributes of down woody materials in hardwood forests of the Eastern United States

    Treesearch

    Christopher W. Woodall; Sonja N. Oswalt; Randall S. Morin

    2007-01-01

    The Forest Inventory and Analysis Program (FIA) of the USDA Forest Service conducts a national inventory of down woody materials (DWM) on forestland in the United States. Estimates of DWM for inventory plots occurring in eastern U.S. hardwood forests facilitate large-scale assessment of hardwood forest fuel loadings and wildlife habitat. Therefore, the objectives of...

  20. Large-area forest inventory regression modeling: spatial scale considerations

    Treesearch

    James A. Westfall

    2015-01-01

    In many forest inventories, statistical models are employed to predict values for attributes that are difficult and/or time-consuming to measure. In some applications, models are applied across a large geographic area, which assumes the relationship between the response variable and predictors is ubiquitously invariable within the area. The extent to which this...

  1. Use of generalized linear models and digital data in a forest inventory of Northern Utah

    USGS Publications Warehouse

    Moisen, Gretchen G.; Edwards, Thomas C.

    1999-01-01

    Forest inventories, like those conducted by the Forest Service's Forest Inventory and Analysis Program (FIA) in the Rocky Mountain Region, are under increased pressure to produce better information at reduced costs. Here we describe our efforts in Utah to merge satellite-based information with forest inventory data for the purposes of reducing the costs of estimates of forest population totals and providing spatial depiction of forest resources. We illustrate how generalized linear models can be used to construct approximately unbiased and efficient estimates of population totals while providing a mechanism for prediction in space for mapping of forest structure. We model forest type and timber volume of five tree species groups as functions of a variety of predictor variables in the northern Utah mountains. Predictor variables include elevation, aspect, slope, geographic coordinates, as well as vegetation cover types based on satellite data from both the Advanced Very High Resolution Radiometer (AVHRR) and Thematic Mapper (TM) platforms. We examine the relative precision of estimates of area by forest type and mean cubic-foot volumes under six different models, including the traditional double sampling for stratification strategy. Only very small gains in precision were realized through the use of expensive photointerpreted or TM-based data for stratification, while models based on topography and spatial coordinates alone were competitive. We also compare the predictive capability of the models through various map accuracy measures. The models including the TM-based vegetation performed best overall, while topography and spatial coordinates alone provided substantial information at very low cost.

  2. Strategies to compensate for the effects of nonresponse on forest carbon baseline estimates from the national forest inventory of the United States

    Treesearch

    Grant M. Domke; Christopher W. Woodall; Brian F. Walters; Ronald E. McRoberts; Mark A. Hatfield

    2014-01-01

    Forest ecosystem carbon (C) stocks and stock change in the United States (US) have been documented using Intergovernmental Panel on Climate Change (IPCC) procedures and guidance with 1990 as a baseline reference for all United Nations Framework Convention on Climate Change reports. In the US, estimates of forest C stocks and stock change are obtained from data...

  3. Forest Inventory and Analysis (FIA) Symposium 2008; October 21-23, 2008; Park City, UT

    Treesearch

    Will McWilliams; Gretchen Moisen; Ray Czaplewski

    2009-01-01

    These proceedings report invited presentations and contributions to the 2008 Biennial Forest Inventory and Analysis (FIA) Symposia, which was hosted by the Research and Development branch of the U.S. Forest Service. As the only comprehensive and continuous census of the forests in the USA, FIA provides strategic information needed to evaluate sustainability of current...

  4. Even-Aged Management and Landslide Inventory, Jackson Demonstration State Forest, Mendocino County, California

    Treesearch

    Julie A. Bawcom

    2007-01-01

    Tree removal associated with clearcutting in a coastal redwood forest does not alone initiate numerous shallow landslides that deliver large quantities of sediment to watercourses. landslide inventory focused on the relationship between vegetation removal in predominantly second-growth redwood forest and shallow landslides. Deep-seated dormant landslide features were...

  5. The effect of blurred plot coordinates on interpolating forest biomass: a case study

    Treesearch

    J. W. Coulston

    2004-01-01

    Interpolated surfaces of forest attributes are important analytical tools and have been used in risk assessments, forest inventories, and forest health assessments. The USDA Forest Service Forest Inventory and Analysis program (FIA) annually collects information on forest attributes in a consistent fashion nation-wide. Users of these data typically perform...

  6. Modeling Missing Remeasurement Tree Heights in Forest Inventory Data

    Treesearch

    Raymond M. Sheffield; Callie J. Schweitzer

    2005-01-01

    Missing tree heights are often problematic in compiling forest inventory remeasurement data. Heights for cut and mortality trees are usually not available; calculations of removal or mortality volumes must utilize either a modeled height at the time of tree death or the height assigned to the tree at a previous remeasurement. Less often, tree heights are not available...

  7. Modeling missing remeasurement tree heights in forest inventory data

    Treesearch

    Raymond M. Sheffield; Callie J. Schweitzer

    2002-01-01

    Missing tree heights are often problematic in compiling forest inventory renleasureinent data. Heights for cut and niortality trees are usually not available; calculations of removal or mortality volumes must utilize either a modeled height at the time of tree death or the height assigned to the tree at a previous remeasurement. Less often, tree heights are not...

  8. A simplified Forest Inventory and Analysis database: FIADB-Lite

    Treesearch

    Patrick D. Miles

    2008-01-01

    This publication is a simplified version of the Forest Inventory and Analysis Data Base (FIADB) for users who do not need to compute sampling errors and may find the FIADB unnecessarily complex. Possible users include GIS specialists who may be interested only in identifying and retrieving geographic information and per acre values for the set of plots used in...

  9. Mapping aboveground woody biomass using forest inventory, remote sensing and geostatistical techniques.

    PubMed

    Yadav, Bechu K V; Nandy, S

    2015-05-01

    Mapping forest biomass is fundamental for estimating CO₂ emissions, and planning and monitoring of forests and ecosystem productivity. The present study attempted to map aboveground woody biomass (AGWB) integrating forest inventory, remote sensing and geostatistical techniques, viz., direct radiometric relationships (DRR), k-nearest neighbours (k-NN) and cokriging (CoK) and to evaluate their accuracy. A part of the Timli Forest Range of Kalsi Soil and Water Conservation Division, Uttarakhand, India was selected for the present study. Stratified random sampling was used to collect biophysical data from 36 sample plots of 0.1 ha (31.62 m × 31.62 m) size. Species-specific volumetric equations were used for calculating volume and multiplied by specific gravity to get biomass. Three forest-type density classes, viz. 10-40, 40-70 and >70% of Shorea robusta forest and four non-forest classes were delineated using on-screen visual interpretation of IRS P6 LISS-III data of December 2012. The volume in different strata of forest-type density ranged from 189.84 to 484.36 m(3) ha(-1). The total growing stock of the forest was found to be 2,024,652.88 m(3). The AGWB ranged from 143 to 421 Mgha(-1). Spectral bands and vegetation indices were used as independent variables and biomass as dependent variable for DRR, k-NN and CoK. After validation and comparison, k-NN method of Mahalanobis distance (root mean square error (RMSE) = 42.25 Mgha(-1)) was found to be the best method followed by fuzzy distance and Euclidean distance with RMSE of 44.23 and 45.13 Mgha(-1) respectively. DRR was found to be the least accurate method with RMSE of 67.17 Mgha(-1). The study highlighted the potential of integrating of forest inventory, remote sensing and geostatistical techniques for forest biomass mapping.

  10. Comparison of estimators for rolling samples using Forest Inventory and Analysis data

    Treesearch

    Devin S. Johnson; Michael S. Williams; Raymond L. Czaplewski

    2003-01-01

    The performance of three classes of weighted average estimators is studied for an annual inventory design similar to the Forest Inventory and Analysis program of the United States. The first class is based on an ARIMA(0,1,1) time series model. The equal weight, simple moving average is a member of this class. The second class is based on an ARIMA(0,2,2) time series...

  11. Francis Marion National Forest forest plan revision - ecosystems & restoration needs

    Treesearch

    Mark Danaher

    2016-01-01

    The Forest Service is currently revising the previous 1995 Forest Plan for the Francis Marion National Forest in Coastal South Carolina developed in the wake of Hurricane Hugo which devastated the forest in 1989. Since 1995, the human communities surrounding the Francis Marion National Forest have grown and changed significantly. The revised Francis Marion Forest Plan...

  12. AgRISTARS: Renewable resources inventory. Land information support system implementation plan and schedule. [San Juan National Forest pilot test

    NASA Technical Reports Server (NTRS)

    Yao, S. S. (Principal Investigator)

    1981-01-01

    The planning and scheduling of the use of remote sensing and computer technology to support the land management planning effort at the national forests level are outlined. The task planning and system capability development were reviewed. A user evaluation is presented along with technological transfer methodology. A land management planning pilot test of the San Juan National Forest is discussed.

  13. Transforming round pegs to fill square holes:Facing the challenge of forest inventories as tools of environmental policy for the 21st century

    Treesearch

    Victor A. Rudis

    1993-01-01

    Todays forest inventory specialist is challenged to combine inventories and analysis of timber with range recreation, soil, water, and wildlife resources, related human uses, and social and economic concerns.Lessons learned in adapting timber-oriented forest inventories toward holistic forest resources assessment are provided.Discussed are ways to maintain dialogue...

  14. Preliminary inventory of mammals from Yurubí National Park, Yaracuy, Venezuela with some comments on their natural history.

    PubMed

    García, Franger J; Delgado-Jaramillo, Mariana; Machado, Marjorie; Aular, Luis

    2012-03-01

    In Venezuela, mammals represent an important group of wildlife with high anthropogenic pressures that threaten their permanence. Focused on the need to generate baseline information that allows us to contribute to document and conserve the richness of local wildlife, we conducted a mammalogical inventory in Yurubí National Park, located in Yaracuy State in Venezuela. We carried out fieldworks in three selected vegetation types: an evergreen forest at 197m, a semi-deciduous forest ranging between 100-230m, and a cloud forest at 1 446m. We used Victor, Sherman, Havahart and pitfall traps for the capture of small non-volant mammals and mist nets for bats. In addition, we carried out interviews with local residents and direct-indirect observations for medium-large sized mammals. At least 79 species inhabit the area, representing 28% of the species recorded for the North side of the country. Chiroptera (39 spp.), Carnivora (13 spp.) and Rodentia (9 spp.) were the orders with the highest richness, as expected for the Neotropics. The evergreen forest had the greatest species richness (n=68), with a sampling effort of 128 net-hours, 32 bucket-days, 16 hours of observations, and three persons interviewed, followed by cloud forest (n=45) with 324 net-hours, 790 traps-night, 77 bucket-days, 10 hours of observations, and one person interviewed. The lowest richness value was in the semi-deciduous forest (n=41), with 591 traps-night, 15 net-hours, 10 hours of observations and three persons interviewed. Data and observations obtained in this inventory (e.g., endemism, species known as "surrogate species" threatened in Venezuela) give an important role at the Yurubí National Park in the maintenance and conservation of local ecosystems and wildlife, threatened by human pressures in the Cordillera de la Costa.

  15. History of forest survey sampling designs in the United States

    Treesearch

    W. E. Frayer; George M. Furnival

    2000-01-01

    Extensive forest inventories of forested lands in the United States were begun in the early part of the 20th century, but widespread, frequent use was not common until after WWII. Throughout the development of inventory techniques and their application to assess the status of the nation's forests, most of the work has been done by the USDA Forest Service through...

  16. NEDLite user's manual: forest inventory for Palm OS handheld computers

    Treesearch

    Peter D. Knopp; Mark J. Twery

    2006-01-01

    A user's manual for NEDLite, software that enables collection of forest inventory data on Palm OS handheld computers, with the option of transferring data into NED software for analysis and subsequent prescription development. NEDLite software is included. Download the NEDLite software at: http://www.fs.fed.us/ne/burlington/ned

  17. Evaluating the potential of structure from motion technology for forest inventory data collection

    Treesearch

    Demetrios Gatziolis

    2015-01-01

    Since the inception of its annual plot design, the Forest Inventory and Analysis (FIA) Program of the USDA Forest Service has integrated into its data collection operations elements of digital technology, including data loggers, laser distance recorders and clinometers, and GPS devices. Data collected with the assistance of this technology during a typical plot visit...

  18. Adding uncertainty to forest inventory plot locations: effects on analyses using geospatial data

    Treesearch

    Alexia A. Sabor; Volker C. Radeloff; Ronald E. McRoberts; Murray Clayton; Susan I. Stewart

    2007-01-01

    The Forest Inventory and Analysis (FIA) program of the USDA Forest Service alters plot locations before releasing data to the public to ensure landowner confidentiality and sample integrity, but using data with altered plot locations in conjunction with other spatially explicit data layers produces analytical results with unknown amounts of error. We calculated the...

  19. Field guide for forested plant associations of the Wenatchee National Forest.

    Treesearch

    T.R. Lillybridge; B.L. Kovalchik; C.K. Williams; B.G. Smith

    1995-01-01

    A classification of forest vegetation is presented for the Wenatchee National Forest (NF). It is based on potential vegetation, with the plant association as the basic unit. The sample includes about 570 intensive plots and 840 reconnaissance plots distributed across the Wenatchee National Forest and the southwest portion of the Okanogan National Forest from 1975...

  20. Nontimber forest products management on national forests in the United States.

    Treesearch

    Rebecca J. McLain; Eric T. Jones

    2005-01-01

    This study provides an overview of nontimber forest products (NTFP) programs on national forests in the United States. We conducted an email survey in 2003 to obtain data on NTFP management activities on national forests across the country. Program characteristics examined in the study included important NTFPs managed on national forests, presence of NTFP coordinators...

  1. Mapping of forest disturbance magnitudes across the US National Forest System

    NASA Astrophysics Data System (ADS)

    Hernandez, A. J.; Healey, S. P.; Ramsey, R. D.; McGinty, C.; Garrard, C.; Lu, N.; Huang, C.

    2013-12-01

    A precise record in conjunction with ongoing monitoring of carbon pools constitutes essentials inputs for the continuous modernization of an ever- dynamic science such as climate change. This is particularly important in forested ecosystems for which accurate field archives are available and can be used in combination with historic satellite imagery to obtain spatially explicit estimates of several indicators that can be used in the assessment of said carbon pools. Many forest disturbance processes limit storage of carbon in forested ecosystems and thereby reduce those systems' capacity to mitigate changes in the global climate system. A component of the US National Forest System's (NFS) comprehensive plan for carbon monitoring includes accounting for mapped disturbances, such as fires, harvests, and insect activity. A long-term time series of maps that show the timing, extent, type, and magnitude of disturbances going back to 1990 has been prepared for the United States Forest Service (USFS) Northern Region, and is currently under preparation for the rest of the NFS regions covering more than 75 million hectares. Our mapping approach starts with an automated initial detection of annual disturbances using imagery captured within the growing season from the Landsat archive. Through a meticulous process, the initial detections are then visually inspected, manually corrected and labeled using various USFS ancillary datasets and Google Earth high-resolution historic imagery. We prepared multitemporal models of percent canopy cover and live tree carbon (T/ha) that were calibrated with extensive (in excess of 2000 locations) field data from the US Forest Service Forest Inventory and Analysis program (FIA). The models were then applied to all the years of the radiometrically corrected and normalized Landsat time series in order to provide annual spatially explicit estimates of the magnitude of change in terms of these two attributes. Our results provide objective, widely

  2. A tool to determine crown and plot canopy transparency for forest inventory and analysis phase 3 plots using digital photographs

    Treesearch

    Matthew F. Winn; Philip A. Araman

    2012-01-01

    The USDA Forest Service Forest Inventory and Analysis (FIA) program collects crown foliage transparency estimates for individual trees on Phase 3 (P3) inventory plots. The FIA crown foliage estimate is obtained from a pair of perpendicular side views of the tree. Researchers with the USDA Forest Service Southern Research Station have developed a computer program that...

  3. Assessing Canada's Forest Carbon Sinks from 1901 TO 2008 BY Combining Inventory with Climate Data (Invited)

    NASA Astrophysics Data System (ADS)

    Chen, J. M.; Wu, C.; Gonsamo, A.; Kurz, W.; Hember, R.; Price, D. T.; Boisvenue, C.; Zhang, F.; Chang, K.

    2013-12-01

    The forest carbon cycle is not only controlled by climate, tree species and site conditions, but also by disturbance affecting the biomass and age of forest stands. The Carbon Budget Model of the Canadian forest sector (CBM-CFS3) calculates the complete forest carbon cycle by combining forest inventory data on forest species, biomass and stand age with empirical yield information and statistics on forest disturbances, management and land-use change. It is used for national reporting and climate policy purposes. The Integrated Terrestrial Ecosystem Carbon model (InTEC) is driven by remotely-sensed vegetation parameters (forest type, leaf area index, clumping index) and fire scar, soil and climate data and simulates forest growth and the carbon cycle as a function of stand age using a process-based approach. Gridded forest biomass, stand age and disturbance data based on forest inventory are also used as inputs to InTEC. Efforts are being made to enhance the CBM-CFS3's capacity to assess the impacts of global change on the forest carbon budget by utilizing InTEC process modeling methodology. For this purpose, InTEC is first implemented on 3432 permanent sampling plots in coastal and interior BC, and it is found that climate warming explained 70% and 75% of forest growth enhancement over the period from 1956 to 2001 in coastal and interior BC, respectively, and the remainder is attributed to CO2 and nitrogen fertilization effects. The growth enhancement, in terms of the increase in the stemwood accumulation rate after adjusting for the stand age effect, is about 24% for both areas over the same period. To assess the impact of climate change on the forest carbon cycle across Canada, polygon-based CBM and gridded InTEC results are aggregated to 60 reconciliation units (RU), and their interannual variabilities over the period from 1990 to 2008 are compared in each RU. CBM results show interannual variability in response to forest disturbance, while InTEC results show

  4. Use of FVS for a forest-wide inventory on the Spokane Indian Reservation

    Treesearch

    Ted Hensold

    2008-01-01

    The Forest Vegetation Simulator (FVS) was used with Continuous Forest Inventory (CFI) data on the Spokane Indian Reservation to provide predicted yields over a 100-year period for 994 1/5 acre plots. The plots were grouped into five strata based on habitat type groupings, projected separately, and the stratum results were combined after processing. Results from the...

  5. Potential of a national monitoring program for forests to assess change in high-latitude ecosystems

    Treesearch

    Tara M. Barrett; Andrew N. Gray

    2011-01-01

    Broad-scale monitoring in Alaska has become of increasing interest due to uncertainty about the potential impacts of changing climate on high-latitude ecosystems. The Forest Inventory and Analysis (FIA) program is a national monitoring program for all public and private forestlands in the US, but the program is not currently implemented in the boreal region of Alaska....

  6. Utility of LiDAR for large area forest inventory applications

    Treesearch

    Nicholas S. Skowronski; Andrew J. Lister

    2012-01-01

    Multi-resource inventory data are used in conjunction with Light Detection and Ranging (LiDAR) data from the Pennsylvania Department of Natural Resource's PAMAP Program to assess the utility of extensive LiDAR acquisitions for large area forest assessments. Background, justification, and initial study designs are presented. The proposed study will involve three...

  7. The United States National Inventory of Library Needs, 1975.

    ERIC Educational Resources Information Center

    Trezza, Alphonse F.

    The "National Inventory of Library Needs" being conducted by the National Commission on Libraries and Information Science covers public libraries, school library/media centers, and academic libraries. The resource categories being used for the Inventory are staffing, collections, acquisitions, space, and operating expenditures. For…

  8. Using FIESTA , an R-based tool for analysts, to look at temporal trends in forest estimates

    Treesearch

    Tracey S. Frescino; Paul L. Patterson; Elizabeth A. Freeman; Gretchen G. Moisen

    2012-01-01

    FIESTA (Forest Inventory Estimation for Analysis) is a user-friendly R package that supports the production of estimates for forest resources based on procedures from Bechtold and Patterson (2005). The package produces output consistent with current tools available for the Forest Inventory and Analysis National Program, such as FIDO (Forest Inventory Data Online) and...

  9. Adaptation of FIBER for Forest Inventory and Analysis growth projections in the State of Maine

    Treesearch

    Dale S. Solomon; Thomas B. Brann; Lawrence E. Caldwell

    2000-01-01

    The model FIBER (Forest Increment Based on Ecological Rationale) was selected by the Technical Review Team on the Sustainability of Timber Supplies in the State of Maine to construct yield information using USDA Forest Service Forest Inventory and Analysis (FIA) field data. FIBER habitat criteria based on soil characteristics, species composition of overstory, and...

  10. How is FIA helping other countries monitor their forests?

    Treesearch

    Charles T. Scott

    2012-01-01

    The demand for forest monitoring is growing rapidly with emphasis on carbon dynamics, due in part by incentives being negotiated under the United Nation's Reducing Emissions from Deforestation and Forest Degradation (REDO+) process. While much of the temperate and boreal forest in developed countries is being monitored as part of national forest inventories,...

  11. Scaling wood volume estimates from inventory plots to landscapes with airborne LiDAR in temperate deciduous forest.

    PubMed

    Levick, Shaun R; Hessenmöller, Dominik; Schulze, E-Detlef

    2016-12-01

    Monitoring and managing carbon stocks in forested ecosystems requires accurate and repeatable quantification of the spatial distribution of wood volume at landscape to regional scales. Grid-based forest inventory networks have provided valuable records of forest structure and dynamics at individual plot scales, but in isolation they may not represent the carbon dynamics of heterogeneous landscapes encompassing diverse land-management strategies and site conditions. Airborne LiDAR has greatly enhanced forest structural characterisation and, in conjunction with field-based inventories, it provides avenues for monitoring carbon over broader spatial scales. Here we aim to enhance the integration of airborne LiDAR surveying with field-based inventories by exploring the effect of inventory plot size and number on the relationship between field-estimated and LiDAR-predicted wood volume in deciduous broad-leafed forest in central Germany. Estimation of wood volume from airborne LiDAR was most robust (R 2  = 0.92, RMSE = 50.57 m 3 ha -1  ~14.13 Mg C ha -1 ) when trained and tested with 1 ha experimental plot data (n = 50). Predictions based on a more extensive (n = 1100) plot network with considerably smaller (0.05 ha) plots were inferior (R 2  = 0.68, RMSE = 101.01 ~28.09 Mg C ha -1 ). Differences between the 1 and 0.05 ha volume models from LiDAR were negligible however at the scale of individual land-management units. Sample size permutation tests showed that increasing the number of inventory plots above 350 for the 0.05 ha plots returned no improvement in R 2 and RMSE variability of the LiDAR-predicted wood volume model. Our results from this study confirm the utility of LiDAR for estimating wood volume in deciduous broad-leafed forest, but highlight the challenges associated with field plot size and number in establishing robust relationships between airborne LiDAR and field derived wood volume. We are moving into a forest management era where

  12. Application of mapped plots for single-owner forest surveys

    Treesearch

    Paul C. Van Deusen; Francis Roesch

    2009-01-01

    Mapped plots are used for the nation forest inventory conducted by the U.S. Forest Service. Mapped plots are also useful foro single ownership inventoires. Mapped plots can handle boundary overlap and can aprovide less variable estimates for specified forest conditions. Mapping is a good fit for fixed plot inventories where the fixed area plot is used for both mapping...

  13. Nitrous oxide emission inventory of German forest soils

    NASA Astrophysics Data System (ADS)

    Schulte-Bisping, Hubert; Brumme, Rainer; Priesack, Eckart

    2003-02-01

    Annual fluxes of N2O trace gas emissions were assessed after stratifying German forest soils into Seasonal Emission Pattern (SEP) and Background Emission Pattern (BEP). Broad-leaved forests with soil pH(KCl) ≤ 3.3 were assigned to have SEP, broad-leaved forests with soil pH(KCl) > 3.3 and all needle-leaved forests to have BEP. BEPs were estimated by a relationship between annual N2O emissions and carbon content of the O-horizon. SEPs were primarily controlled by temperature and moisture and simulated by the model Expert-N after calibration to a 9-year record of N2O measurements. Analysis with different climate and soil properties indicated that the model reacts highly sensitive to changes in soil temperature, soil moisture, and soil texture. A geographic information system (ARC/INFO) was used for a spatial resolution of 1 km × 1 km grid where land cover, dominant soil units, and hygro climate classes were combined. The mean annual N2O emission flux from German forest soils was estimated as 0.32 kg ha-1 yr-1. Broad-leaved forests with SEP had the highest emissions (2.05 kg ha-1 yr-1) followed by mixed forests (0.38 kg ha-1 yr-1), broad-leaved forests (0.37 kg ha-1 yr-1), and needle-leaved forests with BEP (0.17 kg ha-1 yr-1). The annual N2O emission from German forest soils was calculated as 3.26 Gg N2O-N yr-1. Although needle-leaved trees cover about 57% of the entire forest area in Germany, their contribution is low (0.96 Gg N2O-N yr-1). Broad-leaved forests cover about 22% of the forest area but have 55% higher emissions (1.49 Gg N2O-N yr-1) than needle-leaved. Mixed forests cover 21% of the area and contribute 0.81 Gg N2O-N yr-1. Compared to the total N2O emissions in Germany of 170 Gg N yr-1, forest soils contribute only 1.9%. However, there are some uncertainties in this emission inventory, which are intensely discussed.

  14. Pilot Inventory of mammals, reptiles, and amphibians, Golden Gate National Recreation Area, California, 1990-1997

    USGS Publications Warehouse

    Semenoff-Irving, M.; Howell, J.A.

    2005-01-01

    The United States Geological Survey Golden Gate Field Station conducted a baseline inventory of terrestrial vertebrates within the Golden Gate National Recreation Area (GGNRA), Marin, San Francisco, and San Mateo Counties, California between 1990 and 1997. We established 456 permanent study plots in 6 major park habitats, including grassland, coastal scrub, riparian woodland, coastal wetland, broad-leaved evergreen forest, and needle-leaved evergreen forest. We tested multiple inventory methods, including live traps, track plate stations, and artificial cover boards, across all years and habitats. In most years, sampling occurred in 3?4 primary sampling sessions between July and September. In 1994, additional sampling occurred in February and May in conjunction with an assessment of Hantavirus exposure in deer mice (Peromyscus maniculatus). Overall, we detected 32 mammal, 14 reptile, and 6 amphibian species during 25,222 trap-nights of effort. The deer mouse?the most abundant species detected--accounted for 67% of total captures. We detected the Federal Endangered salt marsh harvest mouse (Reithrodontomys raviventris) at one coastal wetland plot in 1992. This project represents the first phase in the development of a comprehensive terrestrial vertebrate inventory and monitoring program for GGNRA. This report summarizes data on relative abundance, frequency of occurrence, distribution across habitat types, and trap success for terrestrial vertebrates detected during this 7-year effort. It includes comprehensive descriptions of the inventory methods and sampling strategies employed during this survey and is intended to help guide the park in the implementation of future longterm ecological monitoring programs.

  15. Pilot Inventory of Mammals, Reptiles, and Amphibians, Golden Gate National Recreation Area, California, 1990-1997

    USGS Publications Warehouse

    Semenoff-Irving, Marcia; Howell, Judd A.

    2005-01-01

    The United States Geological Survey Golden Gate Field Station conducted a baseline inventory of terrestrial vertebrates within the Golden Gate National Recreation Area (GGNRA), Marin, San Francisco, and San Mateo Counties, California between 1990 and 1997. We established 456 permanent study plots in 6 major park habitats, including grassland, coastal scrub, riparian woodland, coastal wetland, broad-leaved evergreen forest, and needle-leaved evergreen forest. We tested multiple inventory methods, including live traps, track plate stations, and artificial cover boards, across all years and habitats. In most years, sampling occurred in 3-4 primary sampling sessions between July and September. In 1994, additional sampling occurred in February and May in conjunction with an assessment of Hantavirus exposure in deer mice (Peromyscus maniculatus). Overall, we detected 32 mammal, 14 reptile, and 6 amphibian species during 25,222 trap-nights of effort. The deer mouse-the most abundant species detected--accounted for 67% of total captures. We detected the Federal Endangered salt marsh harvest mouse (Reithrodontomys raviventris) at one coastal wetland plot in 1992. This project represents the first phase in the development of a comprehensive terrestrial vertebrate inventory and monitoring program for GGNRA. This report summarizes data on relative abundance, frequency of occurrence, distribution across habitat types, and trap success for terrestrial vertebrates detected during this 7-year effort. It includes comprehensive descriptions of the inventory methods and sampling strategies employed during this survey and is intended to help guide the park in the implementation of future longterm ecological monitoring programs.

  16. Hiawatha National Forest Riparian Inventory: A Case Study

    NASA Astrophysics Data System (ADS)

    Abood, S. A.

    2014-12-01

    Riparian areas are dynamic, transitional ecotones between aquatic and terrestrial ecosystems with well-defined vegetation and soil characteristics. Riparian areas offers wildlife habitat and stream water quality, offers bank stability and protects against erosions, provides aesthetics and recreational value, and other numerous valuable ecosystem functions. Quantifying and delineating riparian areas is an essential step in riparian monitoring, riparian management/planning and policy decisions, and in preserving its valuable ecological functions. Previous approaches to riparian areas mapping have primarily utilized fixed width buffers. However, these methodologies only take the watercourse into consideration and ignore critical geomorphology, associated vegetation and soil characteristics. Other approaches utilize remote sensing technologies such as aerial photos interpretation or satellite imagery riparian vegetation classification. Such techniques requires expert knowledge, high spatial resolution data, and expensive when mapping riparian areas on a landscape scale. The goal of this study is to develop a cost effective robust workflow to consistently map the geographic extent and composition of riparian areas within the Hiawatha National Forest boundary utilizing the Riparian Buffer Delineation Model (RBDM) v3.0 and open source geospatial data. This approach recognizes the dynamic and transitional natures of riparian areas by accounting for hydrologic, geomorphic and vegetation data as inputs into the delineation process and the results would suggests incorporating functional variable width riparian mapping within watershed management planning to improve protection and restoration of valuable riparian functionality and biodiversity.

  17. Base-age invariance and inventory projections

    Treesearch

    C. J. Cieszewski; R. L. Bailey; B. E. Borders; G. H. Brister; B. D. Shiver

    2000-01-01

    One of the most important functions of forest inventory is to facilitate management decisions towards forest sustainability based on inventory projections into the future. Therefore, most forest inventories are used for predicting future states of the forests, in modern forestry the most common methods used in inventory projections are based on implicit functions...

  18. Mapping Successional Stages in a Wet Tropical Forest Using Landsat ETM+ and Forest Inventory Data

    NASA Technical Reports Server (NTRS)

    Goncalves, Fabio G.; Yatskov, Mikhail; dos Santos, Joao Roberto; Treuhaft, Robert N.; Law, Beverly E.

    2010-01-01

    In this study, we test whether an existing classification technique based on the integration of Landsat ETM+ and forest inventory data enables detailed characterization of successional stages in a wet tropical forest site. The specific objectives were: (1) to map forest age classes across the La Selva Biological Station in Costa Rica; and (2) to quantify uncertainties in the proposed approach in relation to field data and existing vegetation maps. Although significant relationships between vegetation height entropy (a surrogate for forest age) and ETM+ data were detected, the classification scheme tested in this study was not suitable for characterizing spatial variation in age at La Selva, as evidenced by the error matrix and the low Kappa coefficient (12.9%). Factors affecting the performance of the classification at this particular study site include the smooth transition in vegetation structure between intermediate and advanced successional stages, and the low sensitivity of NDVI to variations in vertical structure at high biomass levels.

  19. Wildlife habitats of the north coast of California: new techniques for extensive forest inventory.

    Treesearch

    Janet L. Ohmann

    1992-01-01

    A study was undertaken to develop methods for extensive inventory and analysis of wildlife habitats. The objective was to provide information about amounts and conditions of wildlife habitats from extensive, sample based inventories so that wildlife can be better considered in forest planning and policy decisions at the regional scale. The new analytical approach...

  20. Proceedings of the fifth annual forest inventory and analysis symposium

    Treesearch

    Ronald E. McRoberts; Gregory A. Reams; Paul C. Van Deusen; William H., eds. McWilliams

    2005-01-01

    The Fifth Annual Forest Inventory and Analysis Symposium was held in New Orleans, Louisiana, the second consecutive year at this location. Given the positive response to the 2002 symposium in New Orleans, we decided to return in 2003. Each year of this symposium series the range of presentations has increased; 2003 was no exception, with several presentations related...