Interactive access to forest inventory data for the South Central United States
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...
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...
National FIA plot intensification procedure report
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...
An Overview of the Ontario Forest Bird Monitoring Program in Canada
Daniel A. Welsh
1995-01-01
In 1987, the Canadian Wildlife Service (Ontario Region) initiated a program to inventory and monitor trends in forest birds. The Forest Bird Monitoring Program (FBMP) was designed to describe changes in numbers over time for all forest songbirds, to develop a habitat-specific baseline inventory of forest birds (species composition and relative abundance), and to...
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...
Sara A. Goeking; Paul L. Patterson
2013-01-01
The USDA Forest Serviceâs Forest Inventory and Analysis (FIA) Program applies specific sampling and analysis procedures to estimate a variety of forest attributes. FIAâs Interior West region uses post-stratification, where strata consist of forest/nonforest polygons based on MODIS imagery, and assumes that nonresponse plots are distributed at random across each stratum...
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 international policy making. Such information can be cost-efficiently provided through integrated forest resource inventories. PMID:24941120
Thomas James Brandeis
2006-01-01
Tree species assemblages described by landscape-scale forest inventory data both agreed and differed from those described by intensive, site specific studies in Puerto Rico's highly disturbed northern karst belt. Species assemblages found on hill tops (typified by Tabebuia heterophylla or Bursera simaruba with ...
Forest statistics for West-Central Tennessee counties - 1989
Dennis M. May; John S. Vissage
1989-01-01
Tabulated results were derived from data obtained during a recent inventory of 11 counties comprising the West-Central unit of Tennessee (fig. 1). Tables 1-25 were developed to provide compatibility among Forest Inventory and Analysis Projects. Tables 26-40 are supplementary tables and may change from unit to unit or State to State to address specific resource issues...
The nuts and bolts of carbon sequestration in forests
The nature of carbon in forests is discussed from the perspective of carbon trading as an incentive for conserving private forest lands. The presentation addresses carbon sequestration in forests and its significance for global warming. Carbon inventories, specifically in the are...
Assessing Forest NPP: BIOME-BGC Predictions versus BEF Derived Estimates
NASA Astrophysics Data System (ADS)
Hasenauer, H.; Pietsch, S. A.; Petritsch, R.
2007-05-01
Forest productivity has always been a major issue within sustainable forest management. While in the past terrestrial forest inventory data have been the major source for assessing forest productivity, recent developments in ecosystem modeling offer an alternative approach using ecosystem models such as Biome-BGC to estimate Net Primary Production (NPP). In this study we compare two terrestrial driven approaches for assessing NPP: (i) estimates from a species specific adaptation of the biogeochemical ecosystem model BIOME-BGC calibrated for Alpine conditions; and (ii) NPP estimates derived from inventory data using biomass expansion factors (BEF). The forest inventory data come from 624 sample plots across Austria and consist of repeated individual tree observations and include growth as well as soil and humus information. These locations are covered with spruce, beech, oak, pine and larch stands, thus addressing the main Austrian forest types. 144 locations were previously used in a validating effort to produce species-specific parameter estimates of the ecosystem model. The remaining 480 sites are from the Austrian National Forest Soil Survey carried out at the Federal Research and Training Centre for Forests, Natural Hazards and Landscape (BFW). By using diameter at breast height (dbh) and height (h) volume and subsequently biomass of individual trees were calculated, aggregated for the whole forest stand and compared with the model output. Regression analyses were performed for both volume and biomass estimates.
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...
NASA Astrophysics Data System (ADS)
Deo, Ram K.
Credible spatial information characterizing the structure and site quality of forests is critical to sustainable forest management and planning, especially given the increasing demands and threats to forest products and services. Forest managers and planners are required to evaluate forest conditions over a broad range of scales, contingent on operational or reporting requirements. Traditionally, forest inventory estimates are generated via a design-based approach that involves generalizing sample plot measurements to characterize an unknown population across a larger area of interest. However, field plot measurements are costly and as a consequence spatial coverage is limited. Remote sensing technologies have shown remarkable success in augmenting limited sample plot data to generate stand- and landscape-level spatial predictions of forest inventory attributes. Further enhancement of forest inventory approaches that couple field measurements with cutting edge remotely sensed and geospatial datasets are essential to sustainable forest management. We evaluated a novel Random Forest based k Nearest Neighbors (RF-kNN) imputation approach to couple remote sensing and geospatial data with field inventory collected by different sampling methods to generate forest inventory information across large spatial extents. The forest inventory data collected by the FIA program of US Forest Service was integrated with optical remote sensing and other geospatial datasets to produce biomass distribution maps for a part of the Lake States and species-specific site index maps for the entire Lake State. Targeting small-area application of the state-of-art remote sensing, LiDAR (light detection and ranging) data was integrated with the field data collected by an inexpensive method, called variable plot sampling, in the Ford Forest of Michigan Tech to derive standing volume map in a cost-effective way. The outputs of the RF-kNN imputation were compared with independent validation datasets and extant map products based on different sampling and modeling strategies. The RF-kNN modeling approach was found to be very effective, especially for large-area estimation, and produced results statistically equivalent to the field observations or the estimates derived from secondary data sources. The models are useful to resource managers for operational and strategic purposes.
Thomas James Brandeis
2006-01-01
Tree species assemblages described by landscape-scale forest inventory data both agreed and differed from those described by intensive, site specific studies in Puerto Ricoâs highly disturbed northern karst belt. Species assemblages found on hill tops (typified by Tabebuia heterophylla or Bursera simaruba with Coccoloba diversifolia, Licaria parvifolia, and Drypetes...
The nature of carbon in forests is discussed from the perspective of carbon trading. Carbon inventories, specifically in the area of land use and forestry are reviewed for the Pacific Northwest. Carbon turnover in forests is discussed as it relates to carbon sequestration. Scient...
Mapping young forest in Wisconsin
Mark Nelson; Kirk Stueve; Charles Perry; Dale Gormanson; Chengquan Huang; Sean. Healey
2012-01-01
Population declines of early successional forest-associated wildlife species have been linked to declines in habitat abundance. Forest Inventory and Analysis (FIA) data can be used to estimate composition and change in 'young' forest, but such information typically lacks spatial specificity for determining landscape patterns that also affect habitat...
Eucalyptus Forest Information System for the Portuguese pulp and paper industry
Luis Fonseca; Rita Crespo; Henk Feith; Jose Luis Carvalho; Antonio Macedo; Joao Pedro Pina
2000-01-01
To support the management of the Portuguese eucalyptus forest, the Association of Portuguese Pulp and Paper Industries (CELPA) decided to develop a Eucalyptus Forest Information System (EFIS). The specific goals of the EFIS are: characterization and development of the eucalyptus forest over time; planning of successive national eucalyptus forest inventories; estimation...
Forest resources of the Tonto National Forest
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...
Forest resources of the Lincoln National Forest
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...
Forest resources of the Gila National Forest
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...
Forest resources of the Clearwater National Forest
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...
Forest resources of the Medicine Bow National Forest
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"...
Japanese national forest inventory and its spatial extension by remote sensing
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...
Summary and findings of the 2006 BLM Forest Lands Report
Tim Bottomley; Jim Menlove
2009-01-01
In 2006, the Bureau of Land Management (BLM) contracted with the Forest Service Forest Inventory and Analysis Program (FIA) to assist in the preparation of a report specific to all forest lands under the administration of the BLM. The BLM requested that the FIA provide information on the extent and general conditions of BLM- managed forests and woodlands, within...
Forest resources of the Idaho Panhandle National Forest
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...
Forest resources of the Black Hills National Forest
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...
Forest resources of the Nez Perce National Forest
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...
Forest resources of the Shoshone National Forest
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...
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...
Assessing estimation techniques for missing plot observations in the U.S. forest inventory
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...
Ram Deo; Matthew Russell; Grant Domke; Hans-Erik Andersen; Warren Cohen; Christopher Woodall
2017-01-01
Large-area assessment of aboveground tree biomass (AGB) to inform regional or national forest monitoring programs can be efficiently carried out by combining remotely sensed data and field sample measurements through a generic statistical model, in contrast to site-specific models. We integrated forest inventory plot data with spatial predictors from Landsat time-...
Soil vital signs: A new Soil Quality Index (SQI) for assessing forest soil health
Michael C. Amacher; Katherine P. O' Neil; Charles H. Perry
2007-01-01
The Forest Inventory and Analysis (FIA) program measures a number of chemical and physical properties of soils to address specific questions about forest soil quality or health. We developed a new index of forest soil health, the soil quality index (SQI), that integrates 19 measured physical and chemical properties of forest soils into a single number that serves as...
Missouri's forest resources in 1999
Thomas L. Schmidt
2000-01-01
The North Central Research Station's Forest Inventory and Analysis Program began fieldwork for the fifth Forest Inventory of Missouri in 1999. This inventory initiates a new annual inventory system. This Research Note contains preliminary estimates of Missouri's forest resources prepared from data gathered during the first year of the inventory.
Iowa's Forest Resources in 1999
Joseph T. II Boykin
2002-01-01
The North Central Research Station's Forest Inventory and Analysis Program began fieldwork for the fourth forest inventory of Iowa in 1999. This inventory initiates a new annual inventory system. This Research Note contains preliminary estimates of Iowa's forest resources prepared from data gathered during the first year of the inventory.
Indiana's Forest Resource in 1999
Patrick D. Miles
2001-01-01
The North Central Research Station's Forest Inventory and Analysis Program began fieldwork for the fifth forest inventory of Indiana in 1999. This inventory initiates a new annual inventory system. This Research Note contains estimates of Indiana's forest resources prepared from the data gathered during the first year of the inventory.
Minnesota's forest resources in 1999
Thomas L. Schmidt
2000-01-01
The North Central Research Station's Forest Inventory and Analysis Program began fieldwork for the sixth Forest Inventory of Minnesota in 1999. This inventory initiates a new annual inventory system. This Research Note contains preliminary estimates of Minnesota's forest resources prepared from data gathered during the first year of the inventory.
Measurement repeatability of a large-scale inventory of forest fuels
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...
A New Annual Forest Inventory System for the South
Noel D. Cost
1999-01-01
The author and director of the Southern Annual Forest Inventory System (SAFIS) details the Forest Serviceâs 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.
Adapting forest health assessments to changing perspectives on threats--a case example from Sweden.
Wulff, Sören; Lindelöw, Åke; Lundin, Lars; Hansson, Per; Axelsson, Anna-Lena; Barklund, Pia; Wijk, Sture; Ståhl, Göran
2012-04-01
A revised Swedish forest health assessment system is presented. The assessment system is composed of several interacting components which target information needs for strategic and operational decision making and accommodate a continuously expanding knowledge base. The main motivation for separating information for strategic and operational decision making is that major damage outbreaks are often scattered throughout the landscape. Generally, large-scale inventories (such as national forest inventories) cannot provide adequate information for mitigation measures. In addition to broad monitoring programs that provide time-series information on known damaging agents and their effects, there is also a need for local and regional inventories adapted to specific damage events. While information for decision making is the major focus of the health assessment system, the system also contributes to expanding the knowledge base of forest conditions. For example, the integrated monitoring programs provide a better understanding of ecological processes linked to forest health. The new health assessment system should be able to respond to the need for quick and reliable information and thus will be an important part of the future monitoring of Swedish forests.
Base-age invariance and inventory projections
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...
Application of remote sensing to state and regional problems
NASA Technical Reports Server (NTRS)
Miller, W. F. (Principal Investigator); Tingle, J.; Wright, L. H.; Tebbs, B.
1984-01-01
Progress was made in the hydroclimatology, habitat modeling and inventory, computer analysis, wildlife management, and data comparison programs that utilize LANDSAT and SEASAT data provided to Mississippi researchers through the remote sensing applications program. Specific topics include water runoff in central Mississippi, habitat models for the endangered gopher tortoise, coyote, and turkey Geographic Information Systems (GIS) development, forest inventory along the Mississipppi River, and the merging of LANDSAT and SEASAT data for enhanced forest type discrimination.
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...
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...
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...
Spatial Information Needs on the Fishlake National Forest: Can FIA Help?
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...
Assessing timber availability in upland Hardwood Forests
Dennis M. May; Chris B. LeDoux
1992-01-01
Reported forest inventory statistics gathered by the USDA Forest Service, Southern Forest Experiment Station, Forest Inventory and Analysis (SOFIA) have been criticized because not all of the inventory volume reported is truly available for harvest. In response to this criticism, a procedure has been developed for assessing timber availability from reported inventory...
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.g., temperature).
Forest resources of the Forest resources of the Apache-Sitgreaves National Forest
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...
Forest resources of the Prescott National Forest
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...
Douglas D. Piirto; Scott Sink; Dominic Ali; Steve Auten; Christopher Hipkin; Reid. Cody
2012-01-01
Swanton Pacific Ranch in northern Santa Cruz County has been owned and managed by California Polytechnic State University (Cal Poly) Foundation since 1987. The California Forest Practice Rules specific to Santa Cruz County limit harvest rate and opening size. Cal Poly forest managers are implementing uneven-aged forest management on 1,182 acres of 80 to 110...
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.
Forest resources of the Santa Fe National Forest
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...
CARBON IN FORESTS: QUALITY MATTERS
The nature of carbon in forests is discussed from the perspective of carbon sequestration and global climate change. Carbon inventories, specifically in the area of land use and forestry are reviewed for the Pacific Northwest. Areas vulnerable to climate change with respect to ca...
Annual inventory report for Pennsylvania's forests: results from the first two years.
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...
Missouri's forest 1999-2003, part B
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...
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...
Estimating down deadwood from FIA forest inventory variables in Maine
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...
Estimating down dead wood from FIA forest inventory variables in Maine
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...
The use of remote sensing for updating extensive forest inventories
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....
Using classified Landsat Thematic Mapper data for stratification in a statewide forest inventory
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...
Using Classified Landsat Thematic Mapper Data for Stratification in a Statewide Forest Inventory
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...
Annual inventory report for Pennsylvania's forests: results from the first three years
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...
Michigan's Forest Resource in 2000.
Earl C. Leatherberry
2002-01-01
The North Central Research Station's Forest Inventory and Analysis program began fieldwork for the sixth forest inventory of Michigan in 2000. This initiates a new annual inventory system. This Research Note contains estimates of Michigan''s forest resources derived from data gathered during this first year of the inventory.
Wisconsin's forest resources in 2000.
John S. Vissage
2002-01-01
The North Central Research Station's Forest Inventory and Analysis program began fieldwork for the sixth forest inventory of Wisconsin in 2000. This initiates a new annual inventory system. This Research Note contains estimates of Wisconsin''s forest resource derived from data gathered during the first year of the inventory.
Nebraska's forest resources in 2001
Katherine P. O' Neill; William R. Lovett
2003-01-01
The North Central Research Station's Forest Inventory and Analysis program began fieldwork for the fourth forest inventory of Nebraska in 2001. This initiates a new annual inventory system. This Research Note contains estimates of Nebraska''s forest resources derived from data gathered during the first year of the inventory.
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.
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...
Forest resources of the Bighorn National Forest
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...
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.
The National Inventory of Down Woody Materials: Methods, Outputs, and Future Directions
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...
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...
Proceedings of the eighth annual forest inventory and analysis symposium
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.
Kentucky, 2007 forest inventory and analysis factsheet
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.
Proceedings of the fourth annual Forest Inventory and Analysis symposium
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.
Proceedings of the seventh annual forest inventory and analysis symposium
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.
Proceedings of the sixth annual forest inventory and analysis symposium
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.
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.
Forest inventory-based estimation of carbon stocks and flux in California forests in 1990.
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 Californiaâs 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;...
Scott A. Pugh
2014-01-01
This publication provides an overview of forest resources in Michigan based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Since 1999, FIA has employed an annual inventory measuring data on a nominal 20 percent of sample plots each year. For the 2013 inventory, estimates for current...
Randall S. Morin; Scott A. Pugh
2014-01-01
This publication provides an overview of forest resources in Vermont based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Since 1999, FIA has employed an annual inventory measuring data on a nominal 20 percent of sample plots each year. For the 2013 inventory, estimates for current...
Forests of New Hampshire, 2013
Randall S. Morin; Scott A. Pugh
2014-01-01
This publication provides an overview of forest resources in New Hampshire based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Since 1999, FIA has employed an annual inventory measuring data on a nominal 20 percent of sample plots each year. For the 2013 inventory, estimates for...
An annualized forest inventory for Nebraska
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...
Anomalous dismeter distribution shifts estimated from FIA inventories through time
Francis A. Roesch; Paul C. Van Deusen
2010-01-01
In the past decade, the United States Department of Agriculture Forest Serviceâs 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...
Establishment of Canada's National Forest Inventory: Approach and Issues
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...
Wisconsin's fourth forest inventory: area.
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.
The fourth Minnesota forest inventory: area.
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.
Terrestrial Ecological Unit Inventory technical guide
E. Winthers; D. Fallon; J. Haglund; T. DeMeo; G. Nowacki; D. Tart; M. Ferwerda; G. Robertson; A. Gallegos; A. Rorick; D. T. Cleland; W. Robbie
2005-01-01
The purpose of this technical guide is to provide specific direction and guidance for conducting Terrestrial Ecological Unit Inventory (TEUI) at the landscape and land-unit scales. TEUI seeks to classify ecological types and map terrestrial ecological units (TEUs) to a consistent standard throughout National Forest System lands. The objectives, policies, and...
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...
North Dakota's forest resources in 2005
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...
Estimating forest conversion rates with annual forest inventory data
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...
Michigan's Fourth Forest Inventory: Area.
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.
Dumitru Salajanu; Dennis M. Jacobs
2006-01-01
Authorsâ 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...
William J. Zielinski; Jeffrey R. Dunk; Andrew N. Gray
2012-01-01
Managing forests for multiple objectives requires balancing timber and vegetation management objectives with needs of sensitive species. Especially challenging is how to retain the habitat elements for species that are typically associated with late-seral forests. We develop a regionally specific, multivariate model describing habitat selection that can be used â when...
A comparison of FIA plot data derived from image pixels and image objects
Charles E. Werstak
2012-01-01
The use of Forest Inventory and Analysis (FIA) plot data for producing continuous and thematic maps of forest attributes (e.g., forest type, canopy cover, volume, and biomass) at the regional level from satellite imagery can be challenging due to differences in scale. Specifically, classification errors that may result from assumptions made between what the field data...
The relative density of forests in the United States
Christopher W. Woodall; Charles H. Perry; Patrick D. Miles
2006-01-01
A relative stand density assessment technique, using the mean specific gravity of all trees in a stand to predict its maximum stand density index (SDI) and subsequently its relative stand density (current SDI divided by maximum SDI), was used to estimate the relative density of forests across the United States using a national-scale forest inventory. Live tree biomass...
Matthew B. Russell; Grant M. Domke; Christopher W. Woodall; Anthony W. D' Amato
2015-01-01
Background: Refined estimation of carbon (C) stocks within forest ecosystems is a critical component of efforts to reduce greenhouse gas emissions and mitigate the effects of projected climate change through forest C management. Specifically, belowground C stocks are currently estimated in the United States' national greenhouse gas inventory (US NGHGI) using...
Dacia M. Meneguzzo
2017-01-01
This resource update provides an overview of forest resources in Kansas based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. For annual inventory years 2001-2013, the sample length was equal to 5 years. Beginning in 2014, the cycle length was changed to 7 years. For the 2016 inventory,...
Dacia M. Meneguzzo
2016-01-01
This resource update provides an overview of forest resources in Kansas based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. For annual inventory years 2001-2013, the sample length was equal to 5 years. Beginning in 2014, the cycle length was changed to 7 years. For the 2015 inventory,...
Randall S. Morin; R. Riemann
2015-01-01
This publication provides an overview of forest resources in Vermont based on inventories conducted by the U.S. Forest Service Forest Inventory and Analysis (FIA) program of the Northern Research Station. For annual inventory years 2003-2013, the cycle length was equal to 5 years. Beginning in 2014, the cycle length was changed to 7 years. For the 2014 inventory,...
Dacia M. Meneguzzo; Mark D. Nelson
2018-01-01
This resource update provides an overview of forest resources in Nebraska based on inventories conducted by the USDA Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. For annual inventory years 2001â2013, the sample length was equal to 5 years. Beginning in 2014, the cycle length was changed to 7 years. For the 2017 inventory...
The Granite State's Forests: Trends in the Resource
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...
Forest inventory: role in accountability for sustainable forest management
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...
Forest resources of the Bitterroot National Forest
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...
Forest Service Resource Inventories: An Overview
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...
Plots, pixels, and partnerships: prospects for mapping, monitoring and modeling biodiversity.
H. Gyde Lund; Victor A. Rudis; Kenneth W. Stolte
1998-01-01
Many biodiversity inventories are conducted in relatively small areas, yet information is needed at the national, regional, and global levels.Most nations have forest inventory plot networks.While forest inventories may not contain the detailed species information that biodiversity inventories do, the forest inventory plot networks do represent large areas.Linkages...
The national forest inventory of the United States of America
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...
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...
Novel Methods for Measuring LiDAR
NASA Astrophysics Data System (ADS)
Ayrey, E.; Hayes, D. J.; Fraver, S.; Weiskittel, A.; Cook, B.; Kershaw, J.
2017-12-01
The estimation of forest biometrics from airborne LiDAR data has become invaluable for quantifying forest carbon stocks, forest and wildlife ecology research, and sustainable forest management. The area-based approach is arguably the most common method for developing enhanced forest inventories from LiDAR. It involves taking a series of vertical height measurements of the point cloud, then using those measurements with field measured data to develop predictive models. Unfortunately, there is considerable variation in methodology for collecting point cloud data, which can vary in pulse density, seasonality, canopy penetrability, and instrument specifications. Today there exists a wealth of public LiDAR data, however the variation in acquisition parameters makes forest inventory prediction by traditional means unreliable across the different datasets. The goal of this project is to test a series of novel point cloud measurements developed along a conceptual spectrum of human interpretability, and then to use the best measurements to develop regional enhanced forest inventories on Northern New England's and Atlantic Canada's public LiDAR. Similarly to a field-based inventory, individual tree crowns are being segmented, and summary statistics are being used as covariates. Established competition and structural indices are being generated using each tree's relationship to one another, whilst existing allometric equations are being used to estimate diameter and biomass of each tree measured in the LiDAR. Novel metrics measuring light interception, clusteredness, and rugosity are also being measured as predictors. On the other end of the human interpretability spectrum, convolutional neural networks are being employed to directly measure both the canopy height model, and the point clouds by scanning each using two and three dimensional kernals trained to identify features useful for predicting biological attributes such as biomass. Predictive models will be trained and tested against one another using 28 different sites and over 42 different LiDAR acquisitions. The optimal model will then be used to generate regional wall-to-wall forest inventories at a 10 m resolution.
The Finnish multisource national forest inventory: small-area estimation and map production
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...
The U.S. forest carbon accounting framework: stocks and stock change, 1990-2016
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...
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...
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...
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...
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...
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...
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...
South-central Alaska forests: inventory highlights.
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...
Assessing Regeneration Adequacy In Pennsylvania's Forests: A Pilot Study
William H. McWilliams; Susan L. King; Charles T. Scott
2001-01-01
The USDA, Forest Service, Northeastern Research Station (NE), Forest Inventory and Analysis (FIA) unit began collecting forest inventory data on an annual basis in Pennsylvania starting this past field season. The forestry community of Pennsylvania has identified forest regeneration as a primary research issue for the inventory to address. New techniques for measuring...
Joint Annual Forest Inventory and Monitoring System
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...
Assessing removals for North Central forest inventories.
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.
William H. McWilliams; Richard A. Birdsey
1986-01-01
The forest inventory and analysis unit of the southern forest experiment station (Forest Survey) conducts periodic inventories about every 10 years covering forest resource inventories of Alabama, Arkansas, Louisiana, Mississippi, East Oklahoma, Tennessee, and East Texas. Appendix tables present summaries of timberland area, growing-stock volume, ownership class,...
FIAMODEL: Users Guide Version 3.0.
Scott A. Pugh; David D. Reed; Kurt S. Pregitzer; Patrick D. Miles
2002-01-01
FIAMODEL is a geographic information system (GIS program used to summarize Forest Inventory and Analysis (FIA, USDA Forest Service) data such as volume. The model runs in ArcView and allows users to select FIA plots with heads-up-digitizing, overlays of digital map layers, or queries based on specific plot attributes.
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.
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...
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...
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...
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...
A Manual for the Identification of Invasive Plants in Southern Forests
Lewis Zimmerman
2012-01-01
This manual was created specifically for use by the U.S. Forest Service Southern Research Station (SRS), Forest Inventory and Analysis (FIA) field survey crews. The SRS FIA unit currently collects data on 33 invasive plants or groups across 13 States. The ability to accurately identify plant species in the field is a crucial component of monitoring a speciesâ presence...
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...
Invasive plants found in east Texas forests, 2009 forest inventory and analysis factsheet
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...
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...
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...
Monitoring nontimber forest products using forest inventory data: an example with slippery elm bark
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...
Invasive plants found in North Carolina’s forests, 2010—forest inventory and analysis factsheet
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...
A technique for conducting point pattern analysis of cluster plot stem-maps
C.W. Woodall; J.M. Graham
2004-01-01
Point pattern analysis of forest inventory stem-maps may aid interpretation and inventory estimation of forest attributes. To evaluate the techniques and benefits of conducting point pattern analysis of forest inventory stem-maps, Ripley`s K(t) was calculated for simulated tree spatial distributions and for over 600 USDA Forest Service Forest...
Species Composition of Down Dead and Standing Live Trees: Implications for Forest Inventory Analysis
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...
Harmonizing estimates of forest land area from national-level forest inventory and satellite imagery
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...
Forest inventory and management-based visual preference models of southern pine stands
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...
A primer on stand and forest inventory designs
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,...
Application of China's National Forest Continuous Inventory database.
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.
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.
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...
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...
Forest inventory with LiDAR and stereo DSM on Washington department of natural resources lands
Jacob L. Strunk; Peter J. Gould
2015-01-01
DNRâs 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...
South Carolina’s forests, 2011
Anita K. Rose
2016-01-01
Between 2007 and 2011, the U.S. Department of Agriculture Forest Serviceâs Forest Inventory and Analysis (FIA) program conducted the tenth inventory of the forests of South Carolina. The inventory estimated that 13.1 million acres, or 68 percent of the State, was forested. The majority of South Carolinaâs forest land was in private ownership. Many private individuals...
Michigan's forests, 2004: statistics and quality assurance
Scott A. Pugh; Mark H. Hansen; Gary Brand; Ronald E. McRoberts
2010-01-01
The first annual inventory of Michigan's forests was completed in 2004 after 18,916 plots were selected and 10,355 forested plots were visited. This report includes detailed information on forest inventory methods, quality of estimates, and additional tables. An earlier publication presented analyses of the inventoried data (Pugh et al. 2009).
Missouri's forest resources, 2005
W. Keith Moser; Mark H. Hansen; Gary J. Brand; Thomas B. Treiman
2007-01-01
The U.S. Forest Service, Northern Research Station's Forest Inventory and Analysis program is continuing its annual inventory of Missouri's forest resources. This report presents estimates of area, volume, and biomass using data for 2005, and growth, removals, and mortality using data for the most recent remeasurement period. Estimates from this inventory...
Washington's public and private forests.
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...
Forest resources of the Beaverhead-Deerlodge National Forest
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...
Invasive plants found in Tennessee forests, 2009 forest inventory and analysis factsheet
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....
Invasive plants found in Georgia’s forests, 2010 - forest inventory and analysis factsheet
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...
Invasive plants found in Oklahoma’s forests, 2010 - forest inventory and analysis factsheet
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...
A Guide to nonnative invasive plants inventoried in the north by Forest Inventory and Analysis
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,...
Invasive plants found in Mississippi forests, 2009 forest inventory and analysis factsheet
Sonja N. Oswalt; Christopher M. Oswalt
2011-01-01
This science update provides information on nonnative invasive plants in Mississippiâs 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...
Integrating LIDAR and forest inventories to fill the trees outside forests data gap
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....
Invasive plants found in Virginia forests, 2010 - forest inventory and analysis factsheet
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...
Invasive plants found in South Carolina forests, 2010 forest inventory and analysis factsheet
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...
Invasive plants found in Kentucky forests, 2009 forest inventory and analysis factsheet
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...
Invasive plants found in Alabama forests, 2009 forest inventory and analysis factsheet
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...
Attributes of down woody materials in hardwood forests of the Eastern United States
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...
Using FIESTA , an R-based tool for analysts, to look at temporal trends in forest estimates
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...
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...
Accuracy and efficiency of area classifications based on tree tally
Michael S. Williams; Hans T. Schreuder; Raymond L. Czaplewski
2001-01-01
Inventory data are often used to estimate the area of the land base that is classified as a specific condition class. Examples include areas classified as old-growth forest, private ownership, or suitable habitat for a given species. Many inventory programs rely on classification algorithms of varying complexity to determine condition class. These algorithms can be...
Strategies for assessing inter- and intra-specific variation in tree biomass in the interior west
David L.R. Affleck; John M. Goodburn; John D. Shaw
2012-01-01
Wildfire hazard mitigation and bioenergy harvesting have emerged as forest management priorities throughout the Interior West (IW) of the USA. Regional forest inventory and forecasting applications are therefore increasingly focused on tree biomass, including biomass in traditionally non-merchantable components. Yet accurate biomass equations for the latter components...
Remote sensing in agriculture. [using Earth Resources Technology Satellite photography
NASA Technical Reports Server (NTRS)
Downs, S. W., Jr.
1974-01-01
Some examples are presented of the use of remote sensing in cultivated crops, forestry, and range management. Areas of concern include: the determination of crop areas and types, prediction of yield, and detection of disease; the determination of forest areas and types, timber volume estimation, detection of insect and disease attack, and forest fires; and the determination of range conditions and inventory, and livestock inventory. Articles in the literature are summarized and specific examples of work being performed at the Marshall Space Flight Center are given. Primarily, aerial photographs and photo-like ERTS images are considered.
NASA Technical Reports Server (NTRS)
Brass, J. A.; Likens, W. C.; Thornhill, R. R.
1983-01-01
The potential of using LANDSAT satellite imagery to map and inventory pinyon-juniper desert forest types in Douglas and Carson City Counties, Nevada was demonstrated. Specific map and statistical products produced include land cover, mechanical operations capability, big game winter range habitat, fire hazard, and forest harvestability. The Nevada Division of Forestry determined that LANDSAT can produce a reliable and low-cost resource data. Added benefits become apparent when the data are linked to a geographical information system (GIS) containing existing ownership, planning, elevation, slope, and aspect information.
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. FIAâs primary objective is to determine the extent, condition, volume, growth, and use of trees on the Nationâs forest land through a comprehensive inventory and analysis of the Nationâs forest resources. The FIA program...
Dumitru Salajanu; Dennis M. Jacobs
2005-01-01
Our objective was to determine at what level biomass and forest area obtained from 2, 3, 4, or 5 panels of forest inventory data compares well with forested area and biomass estimates from the national inventory data. A subset of 2605 inventory plots (100% forested, 100% non-forested) was used to classify the land cover and model the biomass in South Carolina. Mixed...
Ancient human disturbances may be skewing our understanding of Amazonian forests.
McMichael, Crystal N H; Matthews-Bird, Frazer; Farfan-Rios, William; Feeley, Kenneth J
2017-01-17
Although the Amazon rainforest houses much of Earth's biodiversity and plays a major role in the global carbon budget, estimates of tree biodiversity originate from fewer than 1,000 forest inventory plots, and estimates of carbon dynamics are derived from fewer than 200 recensus plots. It is well documented that the pre-European inhabitants of Amazonia actively transformed and modified the forest in many regions before their population collapse around 1491 AD; however, the impacts of these ancient disturbances remain entirely unaccounted for in the many highly influential studies using Amazonian forest plots. Here we examine whether Amazonian forest inventory plot locations are spatially biased toward areas with high probability of ancient human impacts. Our analyses reveal that forest inventory plots, and especially forest recensus plots, in all regions of Amazonia are located disproportionately near archaeological evidence and in areas likely to have ancient human impacts. Furthermore, regions of the Amazon that are relatively oversampled with inventory plots also contain the highest values of predicted ancient human impacts. Given the long lifespan of Amazonian trees, many forest inventory and recensus sites may still be recovering from past disturbances, potentially skewing our interpretations of forest dynamics and our understanding of how these forests are responding to global change. Empirical data on the human history of forest inventory sites are crucial for determining how past disturbances affect modern patterns of forest composition and carbon flux in Amazonian forests.
Minnesota's forest resources, 2006
P.D. Miles; D. Heinzen
2007-01-01
This publication provides an overview of forest resource attributes for Minnesota based on an annual inventory conducted by the Forest Inventory and Analysis program at the Northern Research Station of the U.S. Forest Service. These annual estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory reports for...
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....
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...
Scott A. Pugh
2015-01-01
This resource update provides an overview of forest resources in Michigan 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.* The annual inventory started in 1999. For the 2014...
Tennessee, 2010 forest inventory and analysis factsheet
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...
Kentucky, 2010—forest inventory and analysis factsheet
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...
Kentucky, 2011-forest inventory and analysis factsheet
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...
Tennessee, 2011-forest inventory and analysis factsheet
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...
Pennsylvania's Forest Resources, 2006
William H. McWilliams
2008-01-01
This publication provides an overview of forest resource attributes for Pennsylvania based on an annual inventory conducted by the Forest Inventory and Analysis program at the Northern Research Station of the U.S. Forest Service (NRS-FIA). These annual estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory...
Maine's annual inventory: state perspectives
Kenneth M. Laustsen
2000-01-01
In 1999, Maine became the first northeastern state to begin implementing the USDA Forest Service's annual inventory system as directed by PL 105- 185, the Agricultural Research, Extension, and Education Reform Act of 1998. The Maine Forest Service, in collaboration with Forest Inventory and Analysis program of the Northeastern Research Station of the USDA Forest...
Scott A. Pugh; Charles Paulson; Brett J. Butler
2016-01-01
This resource update provides an overview of forest resources in Michigan 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. The annual inventory started in 1999. For the 2015...
Charles Paulson; Scott A. Pugh
2017-01-01
This resource update provides an overview of forest resources in Michigan 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. The annual inventory started in 1999. For the 2016...
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...
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...
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...
Scott A. Pugh
2018-01-01
This resource update provides an overview of forest resources in Michigan based on inventories conducted by the USDA 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. The annual inventory started in 1999. For the 2017...
Richard H. Widmann; Charles R. Dye; Gregory W. Cook
2007-01-01
A report on the forest inventory of West Virginia conducted in 1999-2001 by the Forest Inventory and Analysis unit of the Northeastern Research Station. Discusses the current condition and changes from previous inventories for forest area, timber volume, tree species, mortality and growth and removals. Graphics depict data at the state level and by county where...
Annual forest inventory: cornerstone of sustainability in the South
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...
Forest resources of the Kootenai National Forest
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...
The forest inventory and analysis database description and users manual version 1.0
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.
New Jersey's Forest Resources, 2006
R.H. Widmann
2008-01-01
This publication provides an overview of forest resource attributes for New Jersey based on an annual inventory conducted by the Forest Inventory and Analysis program at the Northern Research Station of the U.S. Forest Service. These annual estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory reports for...
Mississippi, 2010 forest inventory and analysis factsheet
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...
Mississippi, 2012 forest inventory and analysis factsheet
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...
Mississippi, 2011 forest inventory and analysis factsheet
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...
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...
Nebraska's forests, 2005: statistics, methods, and quality assurance
Patrick D. Miles; Dacia M. Meneguzzo; Charles J. Barnett
2011-01-01
The first full annual inventory of Nebraska's forests was completed in 2005 after 8,335 plots were selected and 274 forested plots were visited and measured. This report includes detailed information on forest inventory methods, and data quality estimates. Tables of various important resource statistics are presented. Detailed analysis of the inventory data are...
Kansas's forests, 2005: statistics, methods, and quality assurance
Patrick D. Miles; W. Keith Moser; Charles J. Barnett
2011-01-01
The first full annual inventory of Kansas's forests was completed in 2005 after 8,868 plots were selected and 468 forested plots were visited and measured. This report includes detailed information on forest inventory methods and data quality estimates. Important resource statistics are included in the tables. A detailed analysis of Kansas inventory is presented...
S.J. Crocker
2007-01-01
This publication provides an overview of forest resource attributes for Iowa based on an annual inventory conducted by the Forest Inventory and Analysis program at the Northern Research Station of the U.S. Forest Service. These estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory reports for Iowa,...
North Dakota's forest resources 2006
D.E. Haugen; M. Kangas
2007-01-01
This publication provides an overview of forest resources attributes for this state based on annual inventory conducted by the Forest Inventory and Analysis program at the Northern Research Station of the USDA Forest Service. These annual estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory reports for...
Delaware's Forest Resources, 2006
T.W. Lister; G. Gladders
2008-01-01
This publication provides an overview of forest resource attributes for this state based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program at the Northern Research Station of the U.S. Forest Service. These annual estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory...
Maryland's Forest Resources, 2006
T.W. Lister; J. Perdue
2008-01-01
This publication provides an overview of forest resource attributes for this state based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program at the Northern Research Station of the U.S. Forest Service. These annual estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory...
Illinois' forest resources, 2006
S.J. Crocker; D.C. Little
2007-01-01
This publication provides an overview of forest resource attributes for Illinois based on an annual inventory conducted by the Forest Inventory and Analysis program at the Northern Research Station of the U.S. Forest Service. These estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory reports for Illinois...
Susan J. Crocker
2014-01-01
This publication provides an overview of forest resource attributes in New Jersey based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program of the U.S. Forest Service, Northern Research Station (NRS). These estimates, along with web-posted core tables, will be updated annually. For more information, please refer to inventory citations on...
West Virginia's Forest Resources, 2006
Richard H. Widmann; Gregory W. Cook
2008-01-01
This publication provides an overview of forest resource attributes for this state based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program at the Northern Research Station of the U.S. Forest Service. These annual estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory...
New Hampshire's Forest Resources, 2006
R.S. Morin; M. Tansey
2008-01-01
This publication provides an overview of forest resource attributes for New Hampshire based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program at the Northern Research Station of the U.S. Forest Service. These annual estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory...
R.H. Widmann
2008-01-01
This publication provides an overview of forest resource attributes for Ohio based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program at the Northern Research Station of the U.S. Forest Service. These annual estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory reports for...
Nebraska's forest resources, 2006
D.M. Meneguzzo
2007-01-01
This publication provides an overview of forest resource attributes for Nebraska based on an annual inventory conducted by the Forest Inventory and Analysis program at the Northern Research Station of the U.S. Forest Service. These annual estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory reports for...
Richard H. Widmann
2005-01-01
A report on the fourth forest inventory of New Jersey conducted in 1998-99 by the Forest Inventory and Analysis unit of the Northeastern Research Station. Discusses the current condition and changes from previous inventories for forest area, timber volume, tree species, and growth and removals. Graphics depict data at the state level and by county where appropriate...
Susan J. Crocker
2014-01-01
This publication provides an overview of forest resource attributes for Illinois based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program of the Northern Research Station (NRS) of the U.S. Forest Service. These estimates, along with web-posted core tables, will be updated annually. For more information, please refer to inventory...
Kansas' forest resources, 2006
W.K. Moser; M.H. Hansen; R.L. Atchison
2007-01-01
This publication provides an overview of forest resource attributes for this state based on an annual inventory conducted by the Forest Inventory and Analysis program at the Northern Research Station of the U.S. Forest Service. These annual estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory reports for...
Tennessee, 2008 forest inventory and analysis factsheet
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...
South Dakota's forest resources, 2008
Ronald J. Piva
2010-01-01
This publication provides an overview of forest resource attributes for South Dakota based on an annual inventory conducted by the Forest Inventory and Analysis 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 regarding past inventory reports for South...
South Dakota's Forest Resources, 2007
Ronald J. Piva; Andrew J. Lister; Douglas Haugan
2009-01-01
This publication provides an overview of forest resource attributes for South Dakota based on an annual inventory conducted by the Forest Inventory and Analysis 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 regarding past inventory reports for South...
South Dakota's forest resources, 2010
Brian F. Walters; Ronald J. Piva
2011-01-01
This publication provides an overview of forest resource attributes for South Dakota based on an annual inventory conducted by the Forest Inventory and Analysis 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 regarding past inventory reports for South...
South Dakota's forest resources, 2012
Brian F. Walters
2013-01-01
This publication provides an overview of forest resource attributes for South Dakota 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 regarding past inventory reports for South...
South Dakota's forest resources, 2011
Brian F. Walters
2012-01-01
This publication provides an overview of forest resource attributes for South Dakota based on an annual inventory conducted by the Forest Inventory and Analysis 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 regarding past inventory reports for South...
South Dakota's forest resources, 2009
Ronald J. Piva
2010-01-01
This publication provides an overview of forest resource attributes for South Dakota based on an annual inventory conducted by the Forest Inventory and Analysis 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 regarding past inventory reports for South...
South Dakota's Forest Resources, 2006
Ronald J. Piva; Douglas Haugan; Gregory J. Josten
2007-01-01
This publication provides an overview of forest resource attributes for South Dakota based on an annual inventory conducted by the Forest Inventory and Analysis program at the Northern Research Station of the U.S. Forest Service. These annual estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory reports...
Vermont's Forest Resources, 2006
R.S. Morin; R. De Geus
2008-01-01
This publication provides an overview of forest resource attributes for Vermont based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program at the Northern Research Station of the U.S. Forest Service. These annual estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory reports...
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...
Missouri's forest resources, 2006
W.K. Moser; M.H. Hansen; T.B. Treiman
2007-01-01
This publication provides an overview of forest resource attributes for Missouri based on an annual inventory conducted by the Forest Inventory and Analysis program at the Northern Research Station of the U.S. Forest Service. These annual estimates, along with web-posted core tables, will be updated annually. For more information regarding past inventory reports for...
Southeast Alaska forests: inventory highlights.
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...
Eric H. Wharton; Richard H. Widmann; Carol L. Alerich; Charles H. Barnett; Andrew J. Lister; Tonya W. Lister; Don Smith; Fred Borman
2004-01-01
A report on the fourth forest inventory of Connecticut conducted in 1997-98 by the Forest Inventory and Analysis unit of the Northeastern Research Station. Explains the current condition and changes from previous inventories for forest area, timber volume, biomass, growth and removals, and harvesting. Graphics depict data at the state and geographic-unit level and,...
Disentangling forest change from forest inventory change: A case study from the US Interior West
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 Serviceâs 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,...
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...
Christopher Woodall
2005-01-01
The Forest Inventory and Analysis (FIA) program 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 indicators of forest health ranging from soils to understory vegetation. Down woody material (DWM) is an FIA indicator that provides estimates of forest...
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...
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...
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...
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...
Nonnative Plants in the Inventory of Western Oregon Forests
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...
Annual Forest Inventories for the North Central Region of the United States
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...
Photo-based estimators for the Nevada photo-based inventory
Paul L. Patterson
2012-01-01
The U.S. Department of Agriculture, Forest Service, Forest Inventory and Analysis Program conducted the Nevada Photo-Based Inventory Pilot in an effort to improve precision in estimates of forest parameters, reduce field data collection costs on margin lands that are covered by slow growing woodland species, and address the potential of strategic-level inventory on...
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...
Double sampling for stratification: a forest inventory application in the Interior West
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,...
Introduction to the Special Section on Forest Inventory and Analysis
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...
Bridging the gap between strategic and management forest inventories
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....
Analysis and Reporting Needs for Annual Forest Inventories in the South
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...
Forests of West Virginia, 2014
Randall S. Morin; Richard H. Widmann
2015-01-01
This publication provides an overview of forest resources in West Virginia based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. For annual inventory years 2002-2013, the sample length was equal to 5 years. Beginning in 2014, the cycle length was changed to 7 years. For the 2014...
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...
Forests of West Virginia, 2013
Richard H. Widmann
2014-01-01
This publication provides an overview of the forest resources in West Virginia based upon inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Information about the FIA program is available online at http://fia.fs.fed.us. Since 2004, FIA has implemented an annual inventory in West Virginia. For...
Hurricane Hugo Effects on South Carolina's Forest Resource
Raymond M. Sheffield; Michael T. Thompson
1992-01-01
Hurricane Hugo struck South Carolina in September 1989 causing extensive mortality and damage to forest stands in 23 counties. The Forest Inventory and Analysis Work Unit at the Southeastern Forest Experiment Station conducted a special inventory of the damaged area in 1990. This Paper presents the results of that inventory and documents procedures used in the...
Improving Forest Inventory and Analysis efficiency with common land unit information
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...
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...
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...
Indiana's forest resources in 2003.
Christopher Woodall; Gary Brand; John Vissage; Joey Gallion
2004-01-01
This publication presents the initial results of the fifth inventory of Indiana's forest resources, marking the first complete cycle of the new annual inventory system. Since 1998, total forest land area has increased by a little over 50,000 acres. As in every inventory since 1950, the oak/hickory type is the largest forest type on the landscape, making up over 59...
Tonya W. Lister
2017-01-01
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. From 2004-2013, FIA employed an annual inventory measuring data on 20 percent of all sample plots each year in Maryland. Beginning in 2014, FIA is on a 7-year cycle...
Tonya Lister; Richard Widmann
2016-01-01
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. From 2004-2013, FIA employed an annual inventory with a cycle length of 5 years, measuring data on 20 percent of all sample plots each year in Delaware. Beginning...
Tonya Lister; Richard Widmann
2016-01-01
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. From 2004-2013, FIA employed an annual inventory, measuring 20 percent of all sample plots each year in Maryland. Beginning in 2014, FIA is on a 7-year cycle,...
Stephen Potter
2017-01-01
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. From 2004-2013, FIA employed an annual inventory with a cycle length of 5 years, measuring data on 20 percent of all sample plots each year in Delaware. Beginning...
Crown-condition classification: a guide to data collection and analysis
Michael E. Schomaker; Stanley J. Zarnoch; William A. Bechtold; David J. Latelle; William G. Burkman; Susan M. Cox
2007-01-01
The Forest Inventory and Analysis (FIA) Program of the Forest Service, U.S. Department of Agriculture, conducts a national inventory of forests across the United States. A systematic subset of permanent inventory plots in 38 States is currently sampled every year for numerous forest health indicators. One of these indicators, crown-condition classification, is designed...
Forests of New Hampshire, 2016
Randall S. Morin; Kyle. Lombard
2017-01-01
This publication provides an overview of forest resources in New Hampshire based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. For annual inventory years 2002-2013, the sample length was equal to 5 years. Beginning in 2014, the cycle length was changed to 7 years. For the 2016...
Forests of New Hampshire, 2015
Randall S. Morin; Richard H. Widmann
2016-01-01
This publication provides an overview of forest resources in New Hampshire based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. For annual inventory years 2002-2013, the sample length was equal to 5 years. Beginning in 2014, the cycle length was changed to 7 years. For the 2015...
Louisiana, 2010 forest inventory and analysis factsheet
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...
T.W. Lister; R.H. Widmann
2015-01-01
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. From 2004-2013, FIA employed an annual inventory with a cycle length of 5 years, measuring data on 20 percent of all sample plots each year in Delaware. Beginning...
Forests of New Hampshire, 2014
Randall S. Morin; R. Riemann
2015-01-01
This publication provides an overview of forest resources in New Hampshire based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. For annual inventory years 2002-2013, the sample length was equal to 5 years. Beginning in 2014, the cycle length was changed to 7 years. For the 2014...
Susan J. Crocker
2015-01-01
This publication provides an overview of forest resource attributes for Illinois based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program of the Northern Research Station (NRS) of the U.S. Forest Service. These estimates, along with web-posted core tables, are updated annually. In 2014, NRS-FIA changed from a 5- to a 7-year inventory...
T.W. Lister; R.H. Widmann
2015-01-01
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. From 2004-2013, FIA employed an annual inventory measuring data on 20 percent of all sample plots each year in Maryland. Beginning in 2014, FIA is on a 7-year cycle...
Susan J. Crocker
2015-01-01
This publication provides an overview of forest resource attributes for New Jersey based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program of the Northern Research Station (NRS) of the U.S. Forest Service. These estimates, along with web-posted core tables, are updated annually. In 2014, NRS-FIA changed from a 5- to a 7-year inventory...
Forest inventory, catastrophic events and historic geospatial assessments in the south
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...
True versus perturbed forest inventory plot locations for modeling: a simulation study
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...
Forests of West Virginia, 2015
Randall S. Morin
2016-01-01
This publication provides an overview of forest resources in West Virginia based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. For annual inventory years 2002-2013, the sample length was equal to 5 years. Beginning in 2014, the cycle length was changed to 7 years. For the 2015...
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...
FIADB vegetation diversity and structure indicator (VEG)
Bethany K. Schulz; Kevin Dobelbower
2012-01-01
The Vegetation Diversity and Structure (VEG) Indicator is a suite of measurements including an inventory of vascular plants on an extensive systematic network of forest plots across the United States. This network is a subset of the standard forest inventory plots established by the U.S. Forest Service Forest Inventory and Analysis program. The VEG indicator provides...
Monitoring state forest lands in standardization with a national forest inventory program
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...
The virtual analyst program: automated data mining, error analysis, and reporting
W. Keith Moser; Mark H. Hansen; Patrick Miles; Ronald E. McRoberts
2007-01-01
The Forest Inventory and Analysis (FIA) program of the U.S. Department of Agriculture Forest Service conducts ongoing comprehensive inventories of the forest resources of the United States. The Northern Region FIA (NFIA) program has three tasks: (1) core reporting function, which produces the annual and 5-year inventory reports; (2) forest health measurements; and (3)...
The new forest carbon accounting framework for the United States
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...
Texas, 2008 forest inventory and analysis factsheet
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 unitsâsoutheast (unit 1), the northeast (unit 2), the north...
The forests of the Green Mountain State
Eric H. Wharton; Richard H. Widmann; Charles H. Barnett; Thomas S. Frieswyk; Andrew J. Lister; Bob DeGeus
2003-01-01
A report on the fifth forest inventory of Vermont conducted in 1996-98 by the Forest Inventory and Analysis unit of the Northeastern Research Station. Explains the current condition and changes from previous inventories for forest area, timber volume, biomass, growth and removals, and harvesting. Graphics depict data at the state and geographic-unit level and, where...
Forest statistics for Delaware: 1986 and 1999
Douglas M. Griffith; Richard H. Widmann; Richard H. Widmann
2001-01-01
A statistical report on the fourth forest inventory of Delaware conducted in 1999 by the Forest Inventory and Analysis Unit of the Northeastern Research Station. Statistics for forest area, numbers of trees, tree biomass, timber volume, growth, and change are displayed at the state and, where appropriate, the county level. The current inventory indicates that there are...
Forest statistics for West Virginia: 1989 and 2000
Douglas M. Griffith; Richard H. Widmann
2003-01-01
A statistical report on the fifth forest inventory of West Virginia conducted in 2000 by the Forest Inventory and Analysis unit of the Northeastern Research Station. Statistics for forest area, numbers of trees, tree biomass, timber volume, growth, and change are displayed at the state and, where appropriate, the county level. The current inventory indicates that there...
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...
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.
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 programâs annual forest inventory system.
William H. McWilliams; Brett J. Butler; Laurence E. Caldwell; Douglas M. Griffith; Michael L. Hoppus; Kenneth M. Laustsen; Andrew J. Lister; Tonya W. Lister; Jacob W. Metzler; Randall S. Morin; Steven A. Sader; Lucretia B. Stewart; James R. Steinman; James, A. Westfall; David A. Williams; Andrew Whitman; Christopher W. Woodall; Christopher W. Woodall
2005-01-01
In 1999, the Maine Forest Service and USDA Forest Service's Forest Inventory and Analysis program implemented a new system for inventorying and monitoring Maine's forests. The effects of the spruce budworm epidemic continue to affect the composition, structure, and distribution of Maine's forested ecosystems. The area of forest land in Maine has remained...
Diameter Growth Models Using Minnesota Forest Inventory and Analysis Data
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...
Ancient human disturbances may be skewing our understanding of Amazonian forests
McMichael, Crystal N. H.; Matthews-Bird, Frazer; Farfan-Rios, William; Feeley, Kenneth J.
2017-01-01
Although the Amazon rainforest houses much of Earth’s biodiversity and plays a major role in the global carbon budget, estimates of tree biodiversity originate from fewer than 1,000 forest inventory plots, and estimates of carbon dynamics are derived from fewer than 200 recensus plots. It is well documented that the pre-European inhabitants of Amazonia actively transformed and modified the forest in many regions before their population collapse around 1491 AD; however, the impacts of these ancient disturbances remain entirely unaccounted for in the many highly influential studies using Amazonian forest plots. Here we examine whether Amazonian forest inventory plot locations are spatially biased toward areas with high probability of ancient human impacts. Our analyses reveal that forest inventory plots, and especially forest recensus plots, in all regions of Amazonia are located disproportionately near archaeological evidence and in areas likely to have ancient human impacts. Furthermore, regions of the Amazon that are relatively oversampled with inventory plots also contain the highest values of predicted ancient human impacts. Given the long lifespan of Amazonian trees, many forest inventory and recensus sites may still be recovering from past disturbances, potentially skewing our interpretations of forest dynamics and our understanding of how these forests are responding to global change. Empirical data on the human history of forest inventory sites are crucial for determining how past disturbances affect modern patterns of forest composition and carbon flux in Amazonian forests. PMID:28049821
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...
Brian J. Clough; Matthew B. Russell; Grant M. Domke; Christopher W. Woodall
2016-01-01
Accurate uncertainty assessments of plot-level live tree biomass stocks are an important precursor to estimating uncertainty in annual national greenhouse gas inventories (NGHGIs) developed from forest inventory data. However, current approaches employed within the United Statesâ NGHGI do not specifically incorporate methods to address error in tree-scale biomass...
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...
Timber resource statistics for the upper Tanana block, Tanana inventory unit, Alaska, 1974.
Karl M. Hegg
1983-01-01
This report for the 3.6-million-acre Upper Tanana block is the third of four on the 14-million-acre Tanana Valley forest inventory unit. Descriptions of area, climate, forest, general resource use, and inventory methodology are presented. Area and volume tables are provided for commercial and operable noncommercial forest lands. Estimates for commercial forest land...
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...
New Method for Determining the Relative Stand Density of Forest Inventory Plots
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...
East Texas, 2011 forest inventory and analysis factsheet
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 unitsâsoutheast (unit 1), northeast (unit 2), north central (unit 3), south (...
Temporal transferability of LiDAR-based imputation of forest structure attributes
Patrick A. Fekety; Michael J. Falkowski; Andrew T. Hudak
2015-01-01
Forest inventory and planning decisions are frequently informed by LiDAR data. Repeated LiDAR acquisitions offer an opportunity to update forest inventories and potentially improve forest inventory estimates through time. We leveraged repeated LiDAR and ground measures for a study area in northern Idaho, U.S.A., to predict (via imputation) - across both space and time-...
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...
Pros and cons of continuous forest inventory: customer perspectives
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...
James B. McCarter; Sean Healey
2015-01-01
The Forest Carbon Management Framework (ForCaMF) integrates Forest Inventory and Analysis (FIA) plot inventory data, disturbance histories, and carbon response trajectories to develop estimates of disturbance and management effects on carbon pools for the National Forest System. All appropriate FIA inventory plots are simulated using the Forest Vegetation Simulator (...
East Texas, 2012—Forest Inventory and Analysis Factsheet
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 unitsâsoutheast (unit 1), northeast (unit 2), north central (...
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...
Projecting national forest inventories for the 2000 RPA timber assessment.
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...
Michael J. Falkowski; Andrew T. Hudak; Nicholas L. Crookston; Paul E. Gessler; Edward H. Uebler; Alistair M. S. Smith
2010-01-01
Sustainable forest management requires timely, detailed forest inventory data across large areas, which is difficult to obtain via traditional forest inventory techniques. This study evaluated k-nearest neighbor imputation models incorporating LiDAR data to predict tree-level inventory data (individual tree height, diameter at breast height, and...
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:26317227
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.
Richard A. Birdsey; William H. McWilliams
1986-01-01
The forest inventory and analysis unit of the southern forest experiment stations (Forest Survey) conducts periodic inventories at approximately 10-year intervals of the forest resources of the Midsouth States (fig. 1). This report contains a summary of forest acreage estimates made between 1950 and 1985. The statistics are based on published forest survey reports and...
The effect of blurred plot coordinates on interpolating forest biomass: a case study
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...
Multiple value forest surveys in the Midsouth states
Victor A. Rudis
1990-01-01
State-of-the-art achievement and limitations in integrating water, range, wildlife, and recreation ("nontimber") inventories with forest surveys of the USDA-Forest Service, Southern Forest Experiment station, Forest Inventory and Analysis (FIA) Unit are reviewed.The FIA Unit surveys private and public forests in 7 Midsouth states:Alabama, Arkansas, Louisiana...
Sonja N. Oswalt; James W. Bentley
2013-01-01
This bulletin describes forest resources of the State of Louisiana at the time of the 2005 forest inventory. It is based on sampling conducted by the U.S. Department of Agriculture Forest Service, Southern Research Station, Forest Inventory and Analysis. This bulletin addresses forest area estimates; timber growth, removals, and mortality; invasive species; and timber...
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...
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...
Projecting Timber Inventory at the Product Level
Lawrence Teeter; Xiaoping Zhou
1999-01-01
Current timber inventory projections generally lack information on inventory by product classes. Most models available for inventory projection and linked to supply analyses are limited to projecting aggregate softwood and hardwood. The research presented describes a methodology for distributing the volume on each FIA (USDA Forest Service Forest Inventory and Analysis...
Landsat for practical forest type mapping - A test case
NASA Technical Reports Server (NTRS)
Bryant, E.; Dodge, A. G., Jr.; Warren, S. D.
1980-01-01
Computer classified Landsat maps are compared with a recent conventional inventory of forest lands in northern Maine. Over the 196,000 hectare area mapped, estimates of the areas of softwood, mixed wood and hardwood forest obtained by a supervised classification of the Landsat data and a standard inventory based on aerial photointerpretation, probability proportional to prediction, field sampling and a standard forest measurement program are found to agree to within 5%. The cost of the Landsat maps is estimated to be $0.065/hectare. It is concluded that satellite techniques are worth developing for forest inventories, although they are not yet refined enough to be incorporated into current practical inventories.
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...
Technical aspects of the forest carbon inventory of the United States: recent past and near future
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...
Pilot Inventory of FIA plots traditionally called `nonforest'
Rachel Riemann
2003-01-01
Forest-inventory data were collected on plots defined as ?nonforest? by the USDA Forest Service?s Forest Inventory and Analysis (FIA) unit. Nonforest plots may have trees on them, but they do not fit FIA?s definition of forest because the area covered by trees is too small, too sparsely populated by trees, too narrow (e.g., trees between fields or in the middle of a...
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 storage.
Optimizing efficiency of height modeling for extensive forest inventories.
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...
Anita K. Rose
2009-01-01
Between 2002 and 2007, the Forest Serviceâs Forest Inventory and Analysis (FIA) Program conducted the eighth inventory of the forests of Virginia. About 15.7 million acres, or 62 percent, of Virginia was forested. The majority (12.4 million acres) of Virginiaâs forest land was in nonindustrial private forest ownership. Public ownership and forest industry ranked second...
The soil indicator of forest health in the Forest Inventory and Analysis Program
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...
Anita K. Rose
2007-01-01
Between 1997 and 2001, the Forest Serviceâs Forest Inventory and Analysis (FIA) Program conducted the seventh inventory of the forests of Virginia. About 15,844,000 acres, or 62 percent, of Virginia was forested. The majority (12,102,000 acres) of Virginiaâs forest land was in nonindustrial private forest ownership. Public ownership and forest industry ranked second...
NASA Astrophysics Data System (ADS)
Suresh, M.; Kiran Chand, T. R.; Fararoda, R.; Jha, C. S.; Dadhwal, V. K.
2014-11-01
Tropical forests contribute to approximately 40 % of the total carbon found in terrestrial biomass. In this context, forest/non-forest classification and estimation of forest above ground biomass over tropical regions are very important and relevant in understanding the contribution of tropical forests in global biogeochemical cycles, especially in terms of carbon pools and fluxes. Information on the spatio-temporal biomass distribution acts as a key input to Reducing Emissions from Deforestation and forest Degradation Plus (REDD+) action plans. This necessitates precise and reliable methods to estimate forest biomass and to reduce uncertainties in existing biomass quantification scenarios. The use of backscatter information from a host of allweather capable Synthetic Aperture Radar (SAR) systems during the recent past has demonstrated the potential of SAR data in forest above ground biomass estimation and forest / nonforest classification. In the present study, Advanced Land Observing Satellite (ALOS) / Phased Array L-band Synthetic Aperture Radar (PALSAR) data along with field inventory data have been used in forest above ground biomass estimation and forest / non-forest classification over Odisha state, India. The ALOSPALSAR 50 m spatial resolution orthorectified and radiometrically corrected HH/HV dual polarization data (digital numbers) for the year 2010 were converted to backscattering coefficient images (Schimada et al., 2009). The tree level measurements collected during field inventory (2009-'10) on Girth at Breast Height (GBH at 1.3 m above ground) and height of all individual trees at plot (plot size 0.1 ha) level were converted to biomass density using species specific allometric equations and wood densities. The field inventory based biomass estimations were empirically integrated with ALOS-PALSAR backscatter coefficients to derive spatial forest above ground biomass estimates for the study area. Further, The Support Vector Machines (SVM) based Radial Basis Function classification technique was employed to carry out binary (forest-non forest) classification using ALOSPALSAR HH and HV backscatter coefficient images and field inventory data. The textural Haralick's Grey Level Cooccurrence Matrix (GLCM) texture measures are determined on HV backscatter image for Odisha, for the year 2010. PALSAR HH, HV backscatter coefficient images, their difference (HHHV) and HV backscatter coefficient based eight textural parameters (Mean, Variance, Dissimilarity, Contrast, Angular second moment, Homogeneity, Correlation and Contrast) are used as input parameters for Support Vector Machines (SVM) tool. Ground based inputs for forest / non-forest were taken from field inventory data and high resolution Google maps. Results suggested significant relationship between HV backscatter coefficient and field based biomass (R2 = 0.508, p = 0.55) compared to HH with biomass values ranging from 5 to 365 t/ha. The spatial variability of biomass with reference to different forest types is in good agreement. The forest / nonforest classified map suggested a total forest cover of 50214 km2 with an overall accuracy of 92.54 %. The forest / non-forest information derived from the present study showed a good spatial agreement with the standard forest cover map of Forest Survey of India (FSI) and corresponding published area of 50575 km2. Results are discussed in the paper.
Anomaly detection for analysis of annual inventory data: a quality control approach
Francis A. Roesch; Paul C. Van Deusen
2010-01-01
Annual forest inventories present special challenges and opportunities for those analyzing the data arising from them. Here, we address one question currently being asked by analysts of the US Forest Serviceâs Forest Inventory and Analysis Programâs quickly accumulating annual inventory data. The question is simple but profound: When combining the next yearâs data for...
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 FIAâs 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...
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...
Forest resources of South Carolina's national forests, 2001
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 Carolinaâs national...
Forest/non-forest mapping using inventory data and satellite imagery
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...
Richard A. Harper; Nathan D. McClure; Tony G. Johnson; J. Frank Green; James K. Johnson; David B. Dickinson; James L. Chamerlain; KaDonna C. Randolph; Sonja N. Oswalt
2009-01-01
Between 1997 and 2004, the Forest Service, Forest Inventory and Analysis Program conducted the eighth inventory of Georgia forests. Forest land area remained stable at 24.8 million acres, and covered about two-thirds of the land area in Georgia. About 24.2 million acres of forest land was considered timberland and 92 percent of that was privately owned. Family forest...
Minnesota's forest resources in 2003
Patrick D. Miles; Gary J. Brand; Manfred E. Mielke
2005-01-01
Reports the results of all five annual panels (1999-2003) of the sixth inventory of Minnesota's forest resources, the first annual inventory of the State. Includes information on forest area; volume; biomass; growth, removals, and mortality; and forest health.
A. Hartsell
2014-01-01
This resource update provides an overview of forest resources in Alabama based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Southern Research Station in cooperation with the Alabama Forestry Commission.
T.J. Brandeis; A.J. Hartsell; K.C. Randolph; C.M. Oswalt
2018-01-01
This resource update provides an overview of forest resources in Virginia based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Southern Research Station in cooperation with the Virginia Department of Forestry.
Charles H. (Hobie) Perry; Kevin J. Horn; R. Quinn Thomas; Linda H. Pardo; Erica A.H. Smithwick; Doug Baldwin; Gregory B. Lawrence; Scott W. Bailey; Sabine Braun; Christopher M. Clark; Mark Fenn; Annika Nordin; Jennifer N. Phelan; Paul G. Schaberg; Sam St. Clair; Richard Warby; Shaun Watmough; Steven S. Perakis
2015-01-01
The abundance of temporally and spatially consistent Forest Inventory and Analysis data facilitates hierarchical/multilevel analysis to investigate factors affecting tree growth, scaling from plot-level to continental scales. Herein we use FIA tree and soil inventories in conjunction with various spatial climate and soils data to estimate species-specific responses of...
EFO-LCI: A New Life Cycle Inventory Database of Forestry Operations in Europe
NASA Astrophysics Data System (ADS)
Cardellini, Giuseppe; Valada, Tatiana; Cornillier, Claire; Vial, Estelle; Dragoi, Marian; Goudiaby, Venceslas; Mues, Volker; Lasserre, Bruno; Gruchala, Arkadiusz; Rørstad, Per Kristian; Neumann, Mathias; Svoboda, Miroslav; Sirgmets, Risto; Näsärö, Olli-Pekka; Mohren, Frits; Achten, Wouter M. J.; Vranken, Liesbet; Muys, Bart
2018-06-01
Life cycle assessment (LCA) has become a common methodology to analyze environmental impacts of forestry systems. Although LCA has been widely applied to forestry since the 90s, the LCAs are still often based on generic Life Cycle Inventory (LCI). With the purpose of improving LCA practices in the forestry sector, we developed a European Life Cycle Inventory of Forestry Operations (EFO-LCI) and analyzed the available information to check if within the European forestry sector national differences really exist. We classified the European forests on the basis of "Forest Units" (combinations of tree species and silvicultural practices). For each Forest Unit, we constructed the LCI of their forest management practices on the basis of a questionnaire filled out by national silvicultural experts. We analyzed the data reported to evaluate how they vary over Europe and how they affect LCA results and made freely available the inventory data collected for future use. The study shows important variability in rotation length, type of regeneration, amount and assortments of wood products harvested, and machinery used due to the differences in management practices. The existing variability on these activities sensibly affect LCA results of forestry practices and raw wood production. Although it is practically unfeasible to collect site-specific data for all the LCAs involving forest-based products, the use of less generic LCI data of forestry practice is desirable to improve the reliability of the studies. With the release of EFO-LCI we made a step toward the construction of regionalized LCI for the European forestry sector.
EFO-LCI: A New Life Cycle Inventory Database of Forestry Operations in Europe.
Cardellini, Giuseppe; Valada, Tatiana; Cornillier, Claire; Vial, Estelle; Dragoi, Marian; Goudiaby, Venceslas; Mues, Volker; Lasserre, Bruno; Gruchala, Arkadiusz; Rørstad, Per Kristian; Neumann, Mathias; Svoboda, Miroslav; Sirgmets, Risto; Näsärö, Olli-Pekka; Mohren, Frits; Achten, Wouter M J; Vranken, Liesbet; Muys, Bart
2018-06-01
Life cycle assessment (LCA) has become a common methodology to analyze environmental impacts of forestry systems. Although LCA has been widely applied to forestry since the 90s, the LCAs are still often based on generic Life Cycle Inventory (LCI). With the purpose of improving LCA practices in the forestry sector, we developed a European Life Cycle Inventory of Forestry Operations (EFO-LCI) and analyzed the available information to check if within the European forestry sector national differences really exist. We classified the European forests on the basis of "Forest Units" (combinations of tree species and silvicultural practices). For each Forest Unit, we constructed the LCI of their forest management practices on the basis of a questionnaire filled out by national silvicultural experts. We analyzed the data reported to evaluate how they vary over Europe and how they affect LCA results and made freely available the inventory data collected for future use. The study shows important variability in rotation length, type of regeneration, amount and assortments of wood products harvested, and machinery used due to the differences in management practices. The existing variability on these activities sensibly affect LCA results of forestry practices and raw wood production. Although it is practically unfeasible to collect site-specific data for all the LCAs involving forest-based products, the use of less generic LCI data of forestry practice is desirable to improve the reliability of the studies. With the release of EFO-LCI we made a step toward the construction of regionalized LCI for the European forestry sector.
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...
Status and future of the forest health indicators program of the USA
Christopher William Woodall; Michael C. Amacher; William A. Bechtold; John W. Coulston; Sarah Jovan; Charles H. Perry; KaDonna C. Randolph; Beth K. Schulz; Gretchen C. Smith; Susan Will-Wolf
2011-01-01
For two decades, the US Department of Agriculture, Forest Service, has been charged with implementing a nationwide field-based forest health monitoring effort. Given its extensive nature, the monitoring program has been gradually implemented across forest health indicators and inventoried states. Currently, the Forest Service's Forest Inventory and Analysis...
Development of a stand-scale forest biodiversity index based on the state forest inventory
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,...
Trends in Connecticut's Forests: A Half-Century of Change
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...
Eric H. Wharton; Douglas M. Griffith
1993-01-01
Presents methods for synthesizing information from existing biomass literature when making biomass assessments over extensive geographic areas, such as for a state or region. Described are general applications to the northeastern United States, and specific applications to Ohio. Tables of appropriate regression equations and the tree and shrub species to which these...
Incidence and impact of damage to North Carolina's timber, 1984
Cindy M. Huber; Joe P. McClure; Noel D. Cost
1985-01-01
This bulletin reports survey data on agents damaging trees in North Carolinaâs forests. Data were collected in 1982, 1983, and 1984 by the Forest Inventory and Analysis Work Unit of the Southeastern Forest Experiment Station. This effort was part of the fifth inventory of the Stateâs forests. Considerably more information was gathered for this inventory than in the...
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...
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...
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...
Andrew J. Hartsell
2010-01-01
Providing landowners and natural resource managers information on financial rates of return (ROR) plays a vital role in providing and promoting forest management. I combined Timber Mart-South stumpage price data with forest inventory data spanning 17 years from the Southern Research Station, Forest Inventory and Analysis work unit for the States of Arkansas and...
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...
Pamela J. Jakes
1981-01-01
The fourth Minnesota Forest Inventory shows that aspen continues to dominate the State's forests. Thirty-nine percent of Minnesota's commercial forest area is in the aspen forest type. Aspen species accounted for the largest portion of growing-stock inventory, net annual growth, and removals.
Missouri's forest resources in 2003
W. Keith; Moser; Treiman, Thomas Treiman, Thomas; Bruce Moltzan; Robert Lawrence; Gary J. Brand; Gary J. Brand
2005-01-01
Reports the initial results of all five annual panels (1999-2003) of the fifth inventory of Missouri`s forest resources, the first annual inventory of the State. Includes information on forest area; volume; biomass; growth, removals, and mortality; and forest health.
Forests of South Carolina, 2015
T.J. Brandeis; A. Hartsell; C. Brandeis; K. Randolph; S. Oswalt
2016-01-01
This resource update provides an overview of forest resources in South Carolina based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Southern Research Station in cooperation with the South Carolina Forestry Commission.
Timber resource statistics for eastern Washington, 1995.
Neil McKay; Patricia M. Bassett; Colin D. MacLean
1995-01-01
This report summarizes a 1990-91 timber resource inventory of Washington east of the crest of the Cascade Range. The inventory was 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...
Wisconsin's forest resources, 2005
Charles, H. (Hobie) Perry; Gary J. Brand
2006-01-01
The annual forest inventory of Wisconsin continues, and this document reports 2001-05 moving averages for most variables and comparisons between 2000 and 2005 for growth, removals, and mortality. Summary resource tables can be generated through the Forest Inventory Mapmaker website at http://ncrs2.fs.fed.us/4801/fiadb/index. htm. Estimates from this inventory show a...
Prefield methods: streamlining forest or nonforest determinations to increase inventory efficiency
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...
Forest statistics for the Piedmont of South Carolina, 1993
Mark J. Brown
1993-01-01
This report summarizes results from a 1993 inventory of the forest resources of the Piedmont of South Carolina. Current estimates of forest area, associated characteristics, and timber volumes are highlighted and compared with the 1986 and earlier inventory findings. Average annual rates of growth, removals, and mortality since the previous inventory are reported....
Nevada Photo-Based Inventory Pilot (NPIP) photo sampling procedures
Tracey S. Frescino; Gretchen G. Moisen; Kevin A. Megown; Val J. Nelson; Elizabeth A. Freeman; Paul L. Patterson; Mark Finco; James Menlove
2009-01-01
The Forest Inventory and Analysis program (FIA) of the U.S. Forest Service monitors status and trends in forested ecoregions nationwide. The complex nature of this broad-scale, strategic-level inventory demands constant evolution and evaluation of methods to get the best information possible while continuously increasing efficiency. In 2004, the "Nevada Photo-...
FIESTA—An R estimation tool for FIA analysts
Tracey S. Frescino; Paul L. Patterson; Gretchen G. Moisen; Elizabeth A. Freeman
2015-01-01
FIESTA (Forest Inventory ESTimation for Analysis) is a user-friendly R package that was originally developed to support the production of estimates consistent with current tools available for the Forest Inventory and Analysis (FIA) National Program, such as FIDO (Forest Inventory Data Online) and EVALIDator. FIESTA provides an alternative data retrieval and reporting...
Brett J. Butler; Charles J. Barnett; Susan J. Crocker; Grant M. Domke; Dale Gormanson; William N. Hill; Cassandra M. Kurtz; Tonya Lister; Christopher Martin; Patrick D. Miles; Randall Morin; W. Keith Moser; Mark D. Nelson; Barbara O' Connell; Bruce Payton; Charles H. Perry; Ronald J. Piva; Rachel Riemann; Christopher W. Woodall
2011-01-01
This report summarizes the results of the fifth forest inventory of the forests of Southern New England, defined as Connecticut, Massachusetts, and Rhode Island, conducted by the U.S. Forest Service, Forest Inventory and analysis program. Information on forest attributes, ownership, land use change, carbon, timber products, forest health, and statistics and quality...
Antonarakis, Alexander S; Saatchi, Sassan S; Chazdon, Robin L; Moorcroft, Paul R
2011-06-01
Insights into vegetation and aboveground biomass dynamics within terrestrial ecosystems have come almost exclusively from ground-based forest inventories that are limited in their spatial extent. Lidar and synthetic-aperture Radar are promising remote-sensing-based techniques for obtaining comprehensive measurements of forest structure at regional to global scales. In this study we investigate how Lidar-derived forest heights and Radar-derived aboveground biomass can be used to constrain the dynamics of the ED2 terrestrial biosphere model. Four-year simulations initialized with Lidar and Radar structure variables were compared against simulations initialized from forest-inventory data and output from a long-term potential-vegtation simulation. Both height and biomass initializations from Lidar and Radar measurements significantly improved the representation of forest structure within the model, eliminating the bias of too many large trees that arose in the potential-vegtation-initialized simulation. The Lidar and Radar initializations decreased the proportion of larger trees estimated by the potential vegetation by approximately 20-30%, matching the forest inventory. This resulted in improved predictions of ecosystem-scale carbon fluxes and structural dynamics compared to predictions from the potential-vegtation simulation. The Radar initialization produced biomass values that were 75% closer to the forest inventory, with Lidar initializations producing canopy height values closest to the forest inventory. Net primary production values for the Radar and Lidar initializations were around 6-8% closer to the forest inventory. Correcting the Lidar and Radar initializations for forest composition resulted in improved biomass and basal-area dynamics as well as leaf-area index. Correcting the Lidar and Radar initializations for forest composition and fine-scale structure by combining the remote-sensing measurements with ground-based inventory data further improved predictions, suggesting that further improvements of structural and carbon-flux metrics will also depend on obtaining reliable estimates of forest composition and accurate representation of the fine-scale vertical and horizontal structure of plant canopies.
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...
Forest resource statistics for the Monongahela National Forest: 2000
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...
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...
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...
Annual Forest Inventory: An Industry Perspective
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...
Cassandra M. Kurtz
2017-01-01
Publication updated February 9, 2018 to correct the number of forest field plots (page 1). This resource update provides an overview of forest resources in Wisconsin based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Northern Research Station in cooperation with the Wisconsin Department of...
S.N. Oswalt
2015-01-01
This resource update provides an overview of forest resources in Mississippi based on an inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station of the Forest Service, U.S. Department of Agriculture in cooperation with the Mississippi Forestry Commission.
K.J.W. Dooley; T.J. Brandeis
2014-01-01
This resource update provides an overview of forest resources in east Texas based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Southern Research Station in cooperation with the Texas A&M Forest Service. Forest resource estimates are based on field data collected using the FIA annualized sample design and...
Updating national forest inventory estimates of growing stock volume using hybrid inference
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...
California's forest resources, 2001-2005: five-year Forest Inventory and Analysis Report.
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...
Forest resources of the Shawnee National Forest, 2007
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...
Forests of western Oregon: an overview.
Sally Campbell; Dave Azuma; Dale. Weyermann
2002-01-01
This publication provides highlights of forest inventories and surveys from 1993 to 2000. It presents both traditional and nontraditional information about western Oregonâs forests.The amount of forest land in western Oregon has changed little since the earliest inventory in 1930. About 80 percent of western Oregon is forested. Fifty tree species were tallied in forest...
William H. McWilliams; Stanford L. Arner; Charles J. Barnett
1997-01-01
The USDA Forest Service's Forest Inventory and Analysis (FIA) program and the Forest Health Monitoring (FHM) program maintain networks of sample locations providing coarse-scale information that characterize general indicators of forest health. Tree mortality is the primary FIA variable for analyzing forest health. Recent FIA inventories of New York, Pennsylvania...
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...
Effect of inventory method on niche models: random versus systematic error
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...
South Carolina, 2010 forest inventory and analysis factsheet
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 Stateâs initial annual inventory plots during the...
Oklahoma, 2011 - forest inventory and analysis factsheet
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 unitsâ southeast (unit 1), northeast (unit 2), north...
Projecting other public inventories for the 2005 RPA timber assessment update.
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...
The hexagon/panel system for selecting FIA plots under an annual inventory
Gary J. Brand; Mark D. Nelson; Daniel G. Wendt; Kevin K. Nimerfro
2000-01-01
Forest Inventory and Analysis (FIA) is changing to an annual nationwide forest inventory. This paper describes the sampling grid used to distribute FIA plots across the landscape and to allocate them to a particular measurement year. We also describe the integration of the F1A and Forest Health Monitoring (FHM) plot networks.
Forest statistics for Southwest-South Alabama counties - 1990
William H. McWilliams; Patrick E. Miller; John S. Vissage
1990-01-01
Tabulated results were derived from data obtained during a recent forest inventory of southeast Alabama (fig. 1). Core tables (1 to 25) are compatible among Forest Inventory and Analysis units in the Eastern U.S. Other tables (26 to 43) supplement the information contained in the core tables. Comparisons are made between results of the 1990 inventory and previous...
A method for inventorying planting stock in forest nurseries
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...
Forest Inventory and Analysis Database of the United States of America (FIA)
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...
Background for AFIS, the Annual Forrest Inventory System
Ronald E. McRoberts
2000-01-01
The Annual Forest Inventory System. AFIS, was jointly proposed and developed in the early 1990s by the Forest Inventory and Analysis programs of the North Central and Rocky Mountain Research Stations of the USDA Forest Service and the Forestry Division of the Minnesota Department of Natural Resources. The objective of AFIS was to establish the capability of producing...
A new flexible forest inventory in France
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,...
Timber resource statistics for the Kantishna block, Tanana inventory unit, Alaska, 1973.
Karl M. Hegg
1982-01-01
This report for the 2.9-million-acre Kantishna block is the second of four on the 14-million-acre Tanana Valley inventory unit. Comments are made on general landform, timber use, recreational potential, agricultural developments, forest defect, regeneration, and inventory methodology. Tables are provided for commercial forest land and for operable noncommercial forest...
Developing and evaluating rapid field methods to estimate peat carbon
Rodney A. Chimner; Cassandra A. Ott; Charles H. Perry; Randall K. Kolka
2014-01-01
Many international protocols (e.g., REDD+) are developing inventories of ecosystem carbon stocks and fluxes at country and regional scales, which can include peatlands. As the only nationally implemented field inventory and remeasurement of forest soils in the US, the USDA Forest Service Forest Inventory and Analysis Program (FIA) samples the top 20 cm of organic soils...
Where are the Black Walnut Trees in Missouri? 1995.
J. Michael Vasievich; Neal P. Kingsley
1995-01-01
Walnut trees are well distributed and relatively abundant in Missouri according to the most recent forest inventory completed in 1989. The forest inventory (Hahn 1991) reports that 7.3 billion trees were found on Missouri timberlands and that 1 in 100 were black walnuts. Digging into the Eastwide Forest Inventory Data Base (Hansen et al. 1992) provides more...
The multiresource forest inventory for Kauai, Hawaii.
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.
The multiresource forest inventory for Oahu, Hawaii.
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.
Wisconsin's forest, 2004: statistics and quality assurance
Mark H. Hansen; Charles H. Perry; Gary Brand; Ronald E. McRoberts
2008-01-01
The first full, annualized inventory of Wisconsin's forests was completed in 2004 after 6,478 forested plots were visited. An earlier publication summarized the results and presented issue - driven analyses (Perry et al. 2008) . This report includes detailed information on forest inventory methods...
Michigan's forest resources, 2009
S.A. Pugh
2010-01-01
This publication provides an overview of forest resource attributes for Michigan based on an annual inventory (2005-2009) conducted by the Forest Inventory and Analysis (FIA) program of the Northern Research Station, U.S. Forest Service. These estimates, along with web-posted core tables, are updated annually.
Nebraska's forest resources, 2008
D.M. Meneguzzo
2010-01-01
This publication provides an overview of forest resource attributes for Nebraska based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program at the Northern Research Station of the USDA Forest Service. These estimates, along with web-posted core tables, will be updated annually.
Anita K. Rose
2013-01-01
Between 2007 and 2011, the U.S. Department of Agriculture Forest Serviceâs Forest Inventory and Analysis (FIA) program conducted the ninth inventory of the forests of Virginia. About 15.9 million acres, or 62 percent, of Virginia was forested. The majority (13.0 million acres) of Virginiaâs forest land was in private forest ownership. Public ownership accounted for 2.9...
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.
Forest statistics for Massachusetts
John R. Peters; Teresa M. Bowers
1977-01-01
This report contains data from the second inventory of the forest resources of Massachusetts. The inventory was completed in 1971 by the Northeastern Forest Experiment Station in cooperation with the Massachusetts Department of Natural Resources.
David E. Haugen
2014-01-01
This resource update provides an overview of forest resources in North Dakota based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Northern Research Station in cooperation with the North Dakota Forest Service. Estimates are based on field data collected using the FIA annualized sample design and are updated...
Forests of North Carolina, 2013
Mark J. Brown
2015-01-01
This periodic resource update provides an overview of forest resources in North Carolina based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Southern Research Station in cooperation with the North Carolina Forest Service. Data estimates are based on field data collected using the FIA annualized sample design...
Richard H. Widmann; Dan Balser; Charles Barnett; Brett J. Butler; Douglas M. Griffith; Tonya W. Lister; W. Keith Moser; Charles H. Perry; Rachel Riemann; Christopher W. Woodall
2009-01-01
This report summarizes annual forest inventories conducted in Ohio from 2001 to 2006 by the Northern Research Station's Forest Inventory and Analysis unit. Ohio's forest land covers 7.9 million acres or 30 percent of the State's land area, changing little in forest land area since 1991. Of this land, 5.8 million acres (73 percent) are held by family...
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...
David E. Haugen
2017-01-01
This resource update provides an overview of forest resources in North Dakota based on an inventory conducted by the USDA Forest Service, Forest Inventory and Analysis (FIA) program within the Northern Research Station in cooperation with the North Dakota Forest Service. Estimates are based on field data collected using the FIA annualized sample design and are updated...
Forests of North Carolina, 2014
Mark Brown; Samuel Lambert
2016-01-01
This periodic resource update provides an overview of forest resources in North Carolina based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Southern Research Station in cooperation with the North Carolina Forest Service. Data estimates are based on field data collected using the FIA annualized sample design...
Charles S. Paulson
2018-01-01
This resource update provides an overview of forest resources in North Dakota based on an inventory conducted by the USDA Forest Service, Forest Inventory and Analysis (FIA) program within the Northern Research Station in cooperation with the North Dakota Forest Service. Estimates are based on field data collected using the FIA annualized sample design and are updated...
Humfredo Marcano-Vega
2017-01-01
This resource update provides a short overview of the status of forest resources in Puerto Rico (Mainland, Culebra, and Vieques) based on the fifth forest inventory funded and conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Southern Research Station and by the International Institute of Tropical Forestry. Data estimates are...
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...
D.E. Haugen; S.A. Pugh
2014-01-01
This resource update provides an overview of forest resources in North Dakota based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Northern Research Station in cooperation with the North Dakota Forest Service. Estimates are based on field data collected using the FIA annualized sample design and are updated...
Susan J. Crocker
2018-01-01
This update provides an overview of forest resources in Illinois following an inventory by the USDA Forest Service, Forest Inventory and Analysis program, Northern Research Station. Estimates are derived from field data collected using an annualized sample design. Current variable estimates such as area and volume are based on 5,994 (1,046 forested) plots measured in...
M.J. Brown; Jarek. Nowak
2014-01-01
This periodic resource update provides an overview of forest resources in Florida based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Southern Research Station in cooperation with the Florida Forest Service. Estimates are based on field data collected using the FIA annualized sample design and are updated...
FIA forest inventory data for wildlife habitat assessment
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...
Dale D. Gormanson; Joey Gallion; Charles J. Barnett; Brett J. Butler; Susan J. Crocker; Cassandra M. Kurtz; Tonya W. Lister; William Luppold; William McWilliams; Patrick D. Miles; Randall S. Morin; Mark D. Nelson; Barbara O' Connell; Charles H. (Hobie) Perry; Rachel I. Riemann; Ronald J. Piva; James E. Smith; Paul A. Sowers; Jim Westfall; Christopher W. Woodall
2016-01-01
This report summarizes the third full annualized inventory of Indiana forests conducted from 2009 to 2013 by the Forest Inventory and Analysis program of the Northern Research Station in cooperation with the Indiana Department of Natural Resources, Division of Forestry. Indiana has nearly 4.9 million acres of forest land with an average of 454 trees per acre. Forest...
Techniques and Considerations for FIA forest fragmentation analysis
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...
A new Link for Geographic analyses of Inventory Data
David Reed; Kurt Pregitzer; Scott A. Pugh; Patrick D. Miles
2001-01-01
The USDA Forest Service Forest Inventory and Analysis (FIA)data are widely used throughout the United States for analyses of forest status and trends, landscape-level forest composition, and other forest characteristics. A new software product, FIAMODEL, is available for analyzing FIA data within the ArcView? (ESRI, Inc.)geographic information system. The software...
Mark Brown; J.. Nowak
2016-01-01
This periodic resource update provides an overview of forest resources in Florida based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Southern Research Station in cooperation with the Florida Forest Service. Estimates are based on field data collected using the FIA annualized sample design and are updated...
Forest statistics for New Hampshire
Thomas S. Frieswyk; Anne M. Malley
1985-01-01
This is a statistical report on the fourth forest survey of New Hampshire conducted in 1982-83 by the Forest Inventory and Analysis Unit, Northeastern Forest Experiment Station. Statistics for forest area, numbers of trees, timber volume, tree biomass, and timber products output are displayed at the state, unit, and county levels. The current inventory indicates that...
Leif Mortenson
2015-01-01
Globally, national forest inventories (NFI) require a large work force typically consisting of multiple teams spread across multiple locations in order to successfully capture a given nationâs forest resources. This is true of the Forest Inventory and Analysis (FIA) program in the US and in many inventories in developing countries that are supported by USFS...
Sean P. Healey; Vicki M. Berrett
2017-01-01
The Forest Serviceâs Forest Inventory and Analysis Program (FIA) is the primary source of information about our forestsâ status and trends. A network of nationally consistent field observations forms FIAâs core, and active collaboration with clients and peer organizations ensures that the resulting inventory remains agile, comprehensive, and relevant. An FIA Science...
Down woody material, soil and tree core collection and analysis from the 2014 Tanana pilot plots
Robert R. Pattison; Andrew N. Gray; Patrick F. Sullivan; Kristen L. Manies
2015-01-01
In the summer of 2014 the US Forest Serviceâs Forest Inventory and Analysis (FIA) Program of the Pacific Northwest (PNW) Research Station in conjunction with NASA Goddard carried out a pilot inventory of the forests of interior Alaska. This inventory was conducted on the State of Alaskaâs Tanana Valley State Forest and on the Tetlin National Wildlife Refuge. As part of...
Gerald E. Rehfeldt; Barry C. Jaquish; Javier Lopez-Upton; Cuauhtemoc Saenz-Romero; J. Bradley St Clair; Laura P. Leites; Dennis G. Joyce
2014-01-01
The Random Forests classification algorithm was used to predict the occurrence of the realized climate niche for two sub-specific varieties of Pinus ponderosa and three varieties of Pseudotsuga menziesii from presence-absence data in forest inventory ground plots. Analyses were based on ca. 271,000 observations for P. ponderosa and ca. 426,000 observations for P....
Equations relating compacted and uncompacted live crown ratio for common tree species in the South
KaDonna C. Randolph
2010-01-01
Species-specific equations to predict uncompacted crown ratio (UNCR) from compacted live crown ratio (CCR), tree length, and stem diameter were developed for 24 species and 12 genera in the southern United States. Using data from the US Forest Service Forest Inventory and Analysis program, nonlinear regression was used to model UNCR with a logistic function. Model...
Determining stocking, forest type and stand-size class from forest inventory data
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...
Forest Inventory and Analysis: What it Tells Us About Water Quality in Arkansas
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...
US forest carbon calculation tool: forest-land carbon stocks and net annual stock change
James E. Smith; Linda S. Heath; Michael C. Nichols
2007-01-01
The Carbon Calculation Tool 4.0, CCTv40.exe, is a computer application that reads publicly available forest inventory data collected by the U.S. Forest Service's Forest Inventory and Analysis Program (FIA) and generates state-level annualized estimates of carbon stocks on forest land based on FORCARB2 estimators. Estimates can be recalculated as...
Forests of eastern Oregon: an overview.
Sally Campbell; Dave Azuma; Dale. Weyermann
2003-01-01
This publication provides highlights of forest inventories and surveys from 1993 to 2001. About 35 percent of eastern Oregon is forested.The amount of forest land in eastern Oregon has increased by about 650,000 acres from the 1930s, with increases in juniper forest land accounting for most of the change.Thirty-one tree species were tallied in forest inventories during...
Assessing the Effects of Forest Fragmentation Using Satellite Imagery and Forest Inventory Data
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...
Extending large-scale forest inventories to assess urban forests.
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.
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....
Indiana's forest resources, 2006
C.W. Woodall; J. Gallion
2007-01-01
This publication provides an overview of forest resource attributes for this state based on an annual inventory conducted by the Forest Inventory and Analysis program at the Northern Research Station of the USDA Forest Service. These annual estimates, along with web-posted core tables, will be updated annually.
NASA Astrophysics Data System (ADS)
Ghimire, Suman; Xystrakis, Fotios; Koutsias, Nikos
2017-04-01
Forest inventory variables are essential in accessing the potential of wildfire hazard, obtaining above ground biomass and carbon sequestration which helps developing strategies for sustainable management of forests. Effective management of forest resources relies on the accuracy of such inventory variables. This study aims to compare the accuracy in obtaining the forest inventory variables like diameter at breast height (DBH) and tree height from Terrestrial Laser Scanner (Faro Focus 3D X 330) with that from the traditional forest inventory techniques in the Mediterranean forests of Greece. The data acquisition was carried out on an area of 9,539.8 m2 with six plots each of radius 6 m. Computree algorithm was applied for automatic detection of DBH from terrestrial laser scanner data. Similarly, tree height was estimated manually using CloudCompare software for the terrestrial laser scanner data. The field estimates of DBH and tree height was carried out using calipers and Nikon Forestry 550 Laser Rangefinder. The comparison of DBH measured between field estimates and Terrestrial Laser Scanner (TLS), resulted in R squared values ranging from 0.75 to 0.96 at the plot level. An average R2 and RMSE value of 0.80 and 1.07 m respectively was obtained when comparing the tree height between TLS and field data. Our results confirm that terrestrial laser scanner can provide nondestructive, high-resolution, and precise determination of forest inventory for better decision making in sustainable forest management and assessing potential of forest fire hazards.
Inventory methods for trees in nonforest areas in the Great Plains States
Andrew J. Lister; Charles T. Scott; Steven Rasmussen
2012-01-01
The US Forest Service's Forest Inventory and Analysis (FIA) program collects information on trees in areas that meet its definition of forest. However, the inventory excludes trees in areas that do not meet this definition, such as those found in urban areas, in isolated patches, in areas with sparse or predominantly herbaceous vegetation, in narrow strips (e.g.,...
Forest statistics for Southwest-North Alabama counties - 1990
William H. McWilliams; Patrick E. Miller; John S. Vissage
1990-01-01
Tabulated results were derived from data obtained during a recent forest inventory of southwest-North Alabama (fig. I). Core tables (1 to 25) are compatible among Forest Inventory and Analysis units in the Eastern U.S. Other tables (26 to 43) supplement the information contained in the core tables. Comparisons are made between results of the 1990 inventory and previous...
Christopher W. Woodall; Vicente J. Monleon
2008-01-01
The USDA Forest Service's Forest Inventory and Analysis program conducts an inventory of forests of the United States including down woody materials (DWM). In this report we provide the rationale and context for a national inventory of DWM, describe the components sampled, discuss the sampling protocol used and corresponding estimation procedures, and provide...
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...
Managed forest carbon estimates for the US greenhouse gas inventory, 1990-2008
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...
Field methods and data processing techniques associated with mapped inventory plots
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...
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...
New Tree-Classification System Used by the Southern Forest Inventory and Analysis Unit
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.
Inventory of trees in nonforest areas in the Great Plains states
Andrew Lister; Chip Scott; Steve Rasmussen
2009-01-01
The U.S. Forest Service's Forest Inventory and Analysis (FIA) program collects information on trees in areas that meet its definition of forest. However, the inventory excludes trees in areas that do not meet this definition, such as those found in isolated patches, in areas with sparse or predominantly herbaceous vegetation, in narrow strips (e.g., shelterbelts...
The Finnish national forest inventory
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...
An alternative method for estimating crown characteristics of urban trees using digital photographs
Matthew F. Winn; Philip A. Araman
2012-01-01
The USDA Forest Service Forest Inventory and Analysis (FIA) program has concluded that statewide urban forest inventories are feasible based on a series of pilot studies initiated in 2001. However, much of the tree crown data collected during inventories are based on visual inspection and therefore highly subjective. In order to objectively determine the crown...
Timothy A. Robards
2012-01-01
This study used USDA Forest Service Forest Inventory and Analysis (FIA) plot data, forest growth models, wildland fire emission estimates and timber harvest data to estimate the live tree carbon storage and flux of California's forests and woodlands. Approximately 30 Tg C02e per year was estimated as the annual flux for all California forests. The forest inventory...
Forest statistics for Rhode Island
John R. Peters; Teresa M. Bowers
1977-01-01
This report contains data from the second inventory of the forest resources of Rhode Island. The inventory was completed in 1971 by the Northeastern Forest Experiment Station in cooperation with the Rhode Island Department of Natural Resources.
Thomas J. Brandeis; Jeffery A. Turner; NO-VALUE
2013-01-01
This report presents the results of the fourth forest inventory of the islands of the Commonwealth of Puerto Rico. Forest area on mainland Puerto Rico held steady, or increased slightly, from 2004 to 2009. This change would seem to indicate that the rate of forest cover increase on mainland Puerto Rico has slowed since the forest inventory began in 1980. But the...
The components of change for an annual forest inventory design
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...
Washington’s forest resources: Forest Inventory and Analysis, 2002–2011
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...
Kerry Dooley
2018-01-01
This resource update provides an overview of forest resources in east Texas based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Southern Research Station (SRS) in cooperation with Texas A&M Forest Service. The 254 counties of Texas are consolidated into seven FIA survey unitsâSoutheast (unit 1),...
Forests of U.S.Virgin Islands, 2014
Humfredo Marcano-Vega; Joe R. Williamson
2017-01-01
This resource update provides a short overview of the status of forest resources in the U.S. Virgin Islands (St. Croix, St. John, and St. Thomas) based on the third forest inventory funded and conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Southern Research Station and by the International Institute of Tropical...
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...
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...
Thomas J. Brandeis
2015-01-01
This resource update provides an overview of forest resources in east Texas derived from an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) Program at the Southern Research Station in cooperation with the Texas A&M Forest Service. These estimates are based on field data collected using the FIA annualized sample design and are...
Washington’s forest resources, 2002–2006: five-year Forest Inventory and Analysis report
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...
California's forest resources: Forest Inventory and Analysis, 2001–2010
Glenn A. Christensen; Karen L. Waddell; Sharon M. Stanton; Olaf Kuegler
2016-01-01
This report highlights key findings from the most recent (2001â2010) 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,...
FIAMODEL : a new link for geographic analyses of inventory data
David Reed; Kurt Pregitzer; Scott A. Pugh; Patrick Miles
2001-01-01
The USDA Forest Service Forest Inventory and Analysis (FIA) data are widely used throughtout the United States for analyses of forest status and trends, landscape-level forest composition, and other forest characteristics. A new software product, FIAMODEL, is available for analyzing FIA data within the ArcView (ESRI,Inc.) geographic information system. The software...
Evaluating kriging as a tool to improve moderate resolution maps of forest biomass
Elizabeth A. Freeman; Gretchen G. Moisen
2007-01-01
The USDA Forest Service, Forest Inventory and Analysis program (FIA) recently produced a nationwide map of forest biomass by modeling biomass collected on forest inventory plots as nonparametric functions of moderate resolution satellite data and other environmental variables using Cubist software. Efforts are underway to develop methods to enhance this initial map. We...
Kerry J.W. Dooley
2017-01-01
This resource update provides an overview of forest resources in east Texas based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Southern Research Station (SRS) in cooperation with Texas A&M Forest Service. The 254 counties of Texas are consolidated into seven FIA survey unitsâSoutheast (unit 1),...
Forest statistics for Vermont: 1973 and 1983
Thomas S. Frieswyk; Anne M. Malley
1985-01-01
A statistical report on the fourth forest survey of Vermont conducted in 1982-1983 by the Forest Inventory and Analysis Unit, Northeastern Forest Experiment Station. Statistics for forest area, numbers of trees, timber volume, tree biomass, and timber products output are displayed at the state, unit, and county levels. The current inventory indicates that the state has...
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.
Forest statistics for eastern Oregon and eastern Washington from inventory phase of forest survey
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...
Conterminous U.S. and Alaska Forest Type Mapping Using Forest Inventory and Analysis Data
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...
Christopher Oswalt
2017-01-01
This resource update provides an overview of forest resource attributes for Kentucky based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) Program at the Southern Research Station of the Forest Service, U.S. Department of Agriculture in cooperation with the Kentucky Department of Natural Resources Division of Forestry. These estimates, along...
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...
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...
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...
The forest inventory and analysis program: what's in it for landowners?
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.
Charles S. Paulson; Dacia M. Meneguzzo
2018-01-01
This publication provides an overview of forest resources in South Dakota based on an inventory conducted by the USDA Forest Service, Forest Inventory and Analysis (FIA) program at the Northern Research Station (NRS) in cooperation with the South Dakota Department of Agriculture, Resource Conservation and Forestry Division. Estimates are based on field data collected...
Testing for change in structural elements of forest inventories
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...
Patrick D. Miles; Curtis VanderSchaaf
2015-01-01
This resource update provides an overview of forest resources in Minnesota based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Northern Research Station in cooperation with the Minnesota Department of Natural Resources. Estimates are based on field data collected during measurement years 2009-2014 with...
Patrick D. Miles; Dennis Kepler
2017-01-01
This resource update provides an overview of forest resources in Minnesota based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Northern Research Station in cooperation with the Minnesota Department of Natural Resources. Estimates are based on field data collected during measurement years 2011-2015 with...
Patrick D. Miles; Susan J. Crocker; Brian F. Walters; Dennis Kepler
2017-01-01
This resource update provides an overview of forest resources in Minnesota based on an inventory conducted by the USDA Forest Service, Forest Inventory and Analysis (FIA) program within the Northern Research Station in cooperation with the Minnesota Department of Natural Resources. Estimates are based on field data collected during measurement years 2012-2016 with...
Christopher Oswalt
2016-01-01
This resource 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 Forest Service, United States Department of Agriculture in cooperation with the Tennessee Department of Agriculture Division of Forestry....
C.M. Oswalt; C.R. King
2014-01-01
This resource 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...
Iowa's forest resources in 2003
Earl C. Leatherberry; Gary J. Brand; Steve Pennington
2005-01-01
Reports the initial results of all five annual panels (1999-2003) of the fourth inventory of Iowa`s forest resources, the first annual inventory of the State. Includes information on forest area; volume; biomass; growth, mortality, and removals; and health.
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...
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...
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...
A comparison of sample unit designs in the national inventory of the U.S.
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...
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-...
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...
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)...
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...
History of forest survey sampling designs in the United States
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...
Richard H. Widmann; Gregory W. Cook; Charles J. Barnett; Brett J. Butler; Douglas M. Griffith; Mark A. Hatfield; Cassandra M. Kurtz; Randall S. Morin; W. Keith Moser; Charles H. Perry; Ronald J. Piva; Rachel Riemann; Christopher W. Woodall
2012-01-01
The first full annual inventory of West Virginia's forests reports 12.0 million acres of forest land or 78 percent of the State's land area. The area of forest land has changed little since 2000. Of this land, 7.2 million acres (60 percent) are held by family forest owners. The current growing-stock inventory is 25 billion cubic feet--12 percent more than in...
Distribution and extent of tree mortality in North Central hardwood forests
J. Michael Vasievich; Sharon L. Hobrla; Mark H. Hansen
1997-01-01
Forest inventory data shows that biophysical agents and human causes account for annual losses of more than a half-billion ft³ of timber in North Central hardwood forests. This paper reports on an analysis of forest inventory data to determine the extent and distribution of tree mortality in four forest types - Aspen-Birch, Elm-Ash-Cottonwood, Maple-Beech-...
Forest resources of the United States, 2002: mapping the renewable resource planning act data
Cassandra M. Kurtz; Daniel J. Kaisershot; Dale D. Gormanson; Jeffery S. Wazenegger
2009-01-01
Forest Inventory and Analysis (FIA), a national program of the Forest Service, U.S. Department of Agriculture conducts and maintains comprehensive inventories of the forest resources in the United States. The Forest and Rangeland Renewable Resources Planning Act (RPA) of 1974 mandates a comprehensive assessment of past trends, current status, and the future potential...
Kansas' forest resources in 2004
W. Keith Moser; Mark H. Hansen; Gary J. Brand; Melissa Powers
2006-01-01
Presents some of the major findings of the first 4 years of the fifth inventory of Kansas' forest resources. Since 1994, total forest land area has increased by more than 580,000 acres, to 2,126,100 acres. As with earlier inventories, oak/hickory is the largest forest type on the landscape, making up more than 52.3 percent of all forested land. Softwoods make up...
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...
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...
Forest inventory and analysis in the United States: remote sensing and geospatial activities
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...
Forest Inventory and Analysis in the United States: Remote sensing and geospatial activities
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...
Forest Inventory and Analysis National Data Quality Assessment Report for 2000 to 2003
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...
Tonya W. Lister; Brett J. Butler; Susan J. Crocker; Cassandra M. Kurtz; Andrew J. Lister; William G. Luppold; William H. McWilliams; Patrick D. Miles; Randall S. Morin; Mark D. Nelson; Ronald J. Piva; Rachel I. Riemann; James E. Smith; James A. Westfall; Richard H. Widmann; Christopher W. Woodall
2017-01-01
This report summarizes the 2013 results of the annualized inventory of Delawareâs forests conducted by the U.S. Forest Service, Forest Inventory and Analysis program. Results are based on data collected from 389 plots located across the State. There are an estimated 362,000 acres of forest land in Delaware with a total live- tree volume of 936 million cubic feet. There...
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...
Observation of trends in biomass loss as a result of disturbance in the conterminous U.S.: 1986-2004
Scott L. Powell; Warren B. Cohen; Robert E. Kennedy; Sean P. Healey; Chengquan Huang
2013-01-01
The critical role of forests in the global carbon cycle is well known, but significant uncertainties remain about the specific role of disturbance, in part because of the challenge of incorporating spatial and temporal detail in the characterization of disturbance processes. In this study, we link forest inventory data to remote sensing data to derive estimates of pre...
Junttila, Virpi; Kauranne, Tuomo; Finley, Andrew O.; Bradford, John B.
2015-01-01
Modern operational forest inventory often uses remotely sensed data that cover the whole inventory area to produce spatially explicit estimates of forest properties through statistical models. The data obtained by airborne light detection and ranging (LiDAR) correlate well with many forest inventory variables, such as the tree height, the timber volume, and the biomass. To construct an accurate model over thousands of hectares, LiDAR data must be supplemented with several hundred field sample measurements of forest inventory variables. This can be costly and time consuming. Different LiDAR-data-based and spatial-data-based sampling designs can reduce the number of field sample plots needed. However, problems arising from the features of the LiDAR data, such as a large number of predictors compared with the sample size (overfitting) or a strong correlation among predictors (multicollinearity), may decrease the accuracy and precision of the estimates and predictions. To overcome these problems, a Bayesian linear model with the singular value decomposition of predictors, combined with regularization, is proposed. The model performance in predicting different forest inventory variables is verified in ten inventory areas from two continents, where the number of field sample plots is reduced using different sampling designs. The results show that, with an appropriate field plot selection strategy and the proposed linear model, the total relative error of the predicted forest inventory variables is only 5%–15% larger using 50 field sample plots than the error of a linear model estimated with several hundred field sample plots when we sum up the error due to both the model noise variance and the model’s lack of fit.
Oregon’s forest resources, 2001–2010: ten-year Forest Inventory and Analysis report
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...
Effects of changing forest land definitions on forest inventory on the West Coast, USA
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...
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...
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) improving the taxonomic and geographic scope of available biomass data; (2) direct attribution of landscape-level heterogeneity in biomass stocks to specific ecological processes; and (3) integration of expert opinion and meta-analysis to lessen the influence of often highly variable datasets on biomass stock forecasts.
William H. McWilliams
1992-01-01
The principal findings of the sixth forest inventory of Alabama (1990) and changes that have occurred since earlier inventories are presented in this report. Topics include the status and trends in forest area, biomass, timber volume, growth, removals, mortality, and timber products output.
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...
Overview of the National Inventory and Monitoring Applications Center (NIMAC)
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...
Connecticut's forest resources, 2010
Brett J. Butler; Cassandra Kurtz; Christopher Martin; W. Keith Moser
2011-01-01
This publication provides an overview of forest resource attributes for Connecticut based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program at the Northern Research Station of the U.S. Forest Service. These estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 4 of this report...
Connecticut's forest resources, 2009
Brett J. Butler; Christopher Martin
2011-01-01
This publication provides an overview of forest resource attributes for Connecticut based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program at the Northern Research Station of the U.S. Forest Service. These estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 4 of this report...
Maine's forest resources, 2012
G.L. McCaskill; K.M. Laustsen; W.H. McWilliams
2013-01-01
This publication provides an overview of forest resource attributes for Maine based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program at the Northern Research Station of the U.S. Forest Service. These estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 4 of this report....
Forests of Massachusetts, 2016
Brett J. Butler
2017-01-01
This report provides an overview of forest resources in Massachusetts based on an inventory 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. Results are for the measurement years 2011-2016 with comparisons made to 2007-...
Forests of Massachusetts, 2013
Brett J. Butler
2014-01-01
This report provides an overview of forest resources in Massachusetts based on an inventory 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. Results are for the measurement years 2009-2013 with comparisons made to 2003-...
Brett J. Butler
2014-01-01
This report provides an overview of forest resources in Connecticut based on an inventory 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. Results are for the measurement years 2009-2013 with comparisons made to 2003-...
Patrick D. Miles; Curtis VanderSchaaf
2014-01-01
This science update provides an overview of forest resources in Minnesota based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Northern Research Station in cooperation with the Minnesota Department of Natural Resources. Estimates are based on field data, collected using the FIA annualized sample design, for the...
Ronald J. Piva; Thomas B. Treiman
2014-01-01
This science update provides an overview of forest resources in Missouri based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Northern Research Station in cooperation with the Missouri Department of Conservation. Estimates are based on field data, collected using the FIA annualized sample design, for the...
Mark D. Nelson; Matt Brewer
2014-01-01
This resource update provides an overview of forest resources in Iowa based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Northern Research Station in cooperation with the Iowa Department of Natural Resources. Estimates are based on field data collected using the FIA annualized sample design and are updated...
Brian F. Walters
2014-01-01
This resource update provides an overview of forest resources in South Dakota based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Northern Research Station in cooperation with the South Dakota Department of Agriculture, Resource Conservation and Forestry Division. Estimates are based on field data collected...
Dale D. Gormanson
2014-01-01
This resource update provides an overview of forest resources in Indiana based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Northern Research Station in cooperation with the Indiana Department of Natural Resources. Estimates are based on field data collected using the FIA annualized strategic sample design and...
D.M. Meneguzzo
2014-01-01
This resource update provides an overview of forest resource attributes for Nebraska based on annual inventories conducted by the Forest Inventory and Analysis (FIA) Program of the Northern Research Station (NRS) of the U.S. Forest Service. The estimates presented in this update are based on field data collected in 2009-2013 with comparisons made to data collected from...
D.M. Meneguzzo; B.J. Butler
2014-01-01
This resource update provides an overview of forest resource attributes for Kansas based on annual inventories conducted by the Forest Inventory and Analysis (FIA) program of the Northern Research Station (NRS) of the U.S. Forest Service. The estimates presented in this update are based on field data collected in 2009-2013 with comparisons made to data collected from...
Brett J. Butler
2016-01-01
This report provides an overview of forest resources in Connecticut based on an inventory 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. Results are for the measurement years 2010-2015 with comparisons made to 2005-...
Nebraska's forest resources, 2009
D.M. Meneguzzo
2011-01-01
This publication provides an overview of forest resource attributes for Nebraska based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program at the Northern Research Station of the U.S. Forest Service. These estimates, along with web-posted core tables, will be updated annually. For more information, please refer to page 4 of this report...
Minnesota's forest resources, 2010
P.D. Miles; T. Aunan
2011-01-01
This publication provides an overview of forest resource attributes for Minnesota based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program at the Northern Research Station of the U.S. Forest Service. These estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 4 of this report...
Minnesota's forest resources, 2012
P.D. Miles; C.L. VanderSchaaf
2012-01-01
This publication provides an overview of forest resource attributes for Minnesota based on an annual inventory conducted by the Forest Inventory and Analysis (FIA) program at the Northern Research Station of the U.S. Forest Service. These estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 4 of this report...