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Calibration of the STEMS diameter growth model using FIA data
The diameter growth model used in STEMS, the Stand and Tree Evaluation and Modeling System, was originally calibrated using data from permanent growth plots in Minnesota, Wisconsin, and Michigan. Because the model has been applied in predicting growth using Forest Inventory and Analysis (FIA) data, it was appropriate to refit the model to FIA data. The model was...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
Veronica C. Lessard
Year:
2000
Keywords:
Source:
In: Hansen, Mark; Burk, Tom, eds. Integrated tools for natural resources inventories in the 21st century. Gen. Tech. Rep. NC-212. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station. 525-532.
Feasibility of high-density climate reconstruction based on Forest Inventory and Analysis (FIA) collected tree-ring data
This study introduces a novel tree-ring dataset, with unparalleled spatial density, for use as a climate proxy. Ancillary Douglas fir and pinyon pine tree-ring data collected by the U.S. Forest Service Forest Inventory and Analysis Program (FIA data) were subjected to a series of tests to determine their feasibility as climate proxies. First, temporal coherence between...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
R. Justin DeRose; Shih-Yu Wang; John D. Shaw
Year:
2013
Keywords:
tree-ring data, spatial density, climate proxy, Forest Inventory and Analysis Program (FIA) data
Source:
Journal of Hydrometeorology. 14: 375-381.
Using FIA data to assess current and potential future tree species importance values in the eastern United States
FIA data are extremely valuable for evaluating regional variation in forest distribution. We have processed and summarized FIA data to show four patterns across the Eastern United States: 1) the number and density of FIA forested plots by state, 2) current importance values and frequencies for several species within 20 x 20 km blocks, 3) tree diversity by block, and 4...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
Louis Iverson; Anantha Prasad; Anantha Prasad
Year:
2003
Keywords:
Source:
In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; Moser, John W., eds. Proceedings of the third annual forest inventory and analysis symposium; 2001 October 17-19; Traverse City, Michigan. Gen. Tech. Rep. NC-230. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station: 171-172.
Using FIA data to assess current and potential future tree species importance values in the eastern United States
FIA data are extremely valuable for evaluating regional variation in forest distribution. We have processed and summarized FIA data to show four patterns across the Eastern United States: 1) the number and density of FIA forested plots by state, 2) current importance values and frequencies for several species within 20 x 20 km blocks, 3) tree diversity by block, and 4...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
Louis Iverson; Anantha Prasad
Year:
2002
Keywords:
Source:
In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; Moser, John W., eds. Proceedings of the Thrid Annual Forest Inventory and Analysis Symposium; Gen. Tech. Rep. NC-230. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station: 171-172
SOLE: enhanced FIA data analysis capabilities
The Southern On Line Estimator (SOLE), is an Internet-based annual forest inventory and analysis (FIA) data analysis tool developed cooperatively by the National Council for Air and Stream Improvement and the Forest Service, U.S. Department of Agriculture's Forest Inventory and Analysis program at the Southern Research Station. Recent development of SOLE has...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
Michael Spinney; Paul Van Deusen
Year:
2009
Keywords:
Source:
In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H., eds. Proceedings of the eighth annual forest inventory and analysis symposium; 2006 October 16-19; Monterey, CA. Gen. Tech. Report WO-79. Washington, DC: U.S. Department of Agriculture, Forest Service. 401-403.
Application of Forest Inventory and Analysis (FIA) data to estimate the amount of old growth forest and snag density in the Northern Region of the National Forest System
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...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
Raymond L. Czaplewski
Year:
2004
Keywords:
Forest Inventory and Analysis (FIA), data, Northern Region, National Forest System, snag density, forest area, old growth, analyses
Source:
Unpublished paper on file at: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, CO. 13 p.
Comparing Minnesota land cover/use area estimates using NRI and FIA data
Areas for land cover/use categories on non-Federal land in Minnesota were estimated from Forest Inventory and Analysis (FIA) data and National Resources Inventory (NRI) data. Six common land cover/use categories were defined, and the NRI and FIA land cover/use categories were assigned to them. Area estimates for these categories were calculated from the FIA and NRI...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
Veronica C. Lessard; Mark H. Hansen; Mark D. Nelson
Year:
2002
Keywords:
Source:
In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; Moser, John W., eds. Proceedings of the Thrid Annual Forest Inventory and Analysis Symposium; Gen. Tech. Rep. NC-230. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station: 36-43
A new Link for Geographic analyses of Inventory Data
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...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
David Reed; Kurt Pregitzer; Scott A. Pugh; Patrick D. Miles
Year:
2001
Keywords:
geospatial technologies, GIS, inventory and analysis
Source:
Journal of Forestry. Vol. 99 no. 6.:p. 21-24. (2001)
FIAMODEL : a new link for geographic analyses of inventory data
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...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
David Reed; Kurt Pregitzer; Scott A. Pugh; Patrick Miles
Year:
2001
Keywords:
Geographical information systems, Forest inventories, Technology, geospatial technologies, GIS, inventory and analysis
Source:
Journal of forestry. Vol. 99, no. 6 (June 2001).:p. 21-24 : maps.
Access and Use of FIA Data Through FIA Spatial Data Services
Forest Inventory and Analysis (FIA) Spatial Data Services (SDS) was established in May 2002 to facilitate outside access to FIA data and allow use of georeferenced plot data while protecting the confidentiality of plot locations. Modification of the Food Security Act of 1985 legislated the protection of information on plot location and ownership. Penalties were put in...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
Elizabeth LaPoint
Year:
2005
Keywords:
Source:
In: Proceedings of the fifth annual forest inventory and analysis symposium; 2003 November 18-20; New Orleans, LA. Gen. Tech. Rep. WO-69. Washington, DC: U.S. Department of Agriculture Forest Service. 222p.
Using FIA data in the Forest Vegetation Simulator
The Forest Vegetation Simulator (FVS) is a national system of forest growth models maintained by the USDA Forest Service. It is the official tool for stand growth projection on National Forest lands, but it is also used widely on other ownerships. Model extensions and post-processors permit FVS users to perform a broad range of functions, including silvicultural...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
John D. Shaw
Year:
2009
Keywords:
Forest Vegetation Simulator, FVS, FIA Mapmaker, database, data access, ODBC
Source:
In: McWilliams, Will; Moisen, Gretchen; Czaplewski, Ray, comps. Forest Inventory and Analysis (FIA) Symposium 2008; October 21-23, 2008; Park City, UT. Proc. RMRS-P-56CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 16 p.
Predicting bird habitat quality from a geospatial analysis of FIA data
The ability to assess the influence of site-scale forest structure on avian habitat suitability at an ecoregional scale remains a major methodological constraint to effective biological planning for forest land birds in North America. We evaluated the feasibility of using forest inventory and analysis (FIA) data to define vegetation structure within forest patches,...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
John M. Tirpak; D. Todd Jones-Farrand; Frank R., III Thompson; Daniel J. Twedt; Mark D. Nelson; William B., III Uihlein
Year:
2009
Keywords:
Source:
In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H., eds. Proceedings of the eighth annual forest inventory and analysis symposium; 2006 October 16-19; Monterey, CA. Gen. Tech. Report WO-79. Washington, DC: U.S. Department of Agriculture, Forest Service. 171-178.
Use of FIA plot data in the LANDFIRE project
LANDFIRE is an interagency project that will generate consistent maps and data describing vegetation, fire, and fuel characteristics across the United States within a 5-year timeframe. Modeling and mapping in LANDFIRE depend extensively on a large database of georeferenced field measurements describing vegetation, site characteristics, and fuel. The LANDFIRE Reference...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
Chris Toney; Matthew Rollins; Karen Short; Tracey Frescino; Ronald Tymcio; Birgit Peterson
Year:
2007
Keywords:
Source:
In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H., eds. Proceedings of the seventh annual forest inventory and analysis symposium; October 3-6, 2005; Portland, ME. Gen. Tech. Rep. WO-77. Washington, DC: U.S. Department of Agriculture, Forest Service: 309-319.
Forest biomass estimated from MODIS and FIA data in the Lake States: MN, WI and MI, USA
This study linked the Moderate Resolution Imaging Spectrometer and USDA Forest Service, Forest Inventory and Analysis (FIA) data through empirical models established using high-resolution Landsat Enhanced Thematic Mapper Plus observations to estimate aboveground biomass (AGB) in three Lake States in the north-central USA. While means obtained from larger sample sizes...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
Daolan Zheng; Linda S. Heath; Mark J. Ducey
Year:
2007
Keywords:
Source:
Forestry. 80(3): 265-278.
The role of strategic forest inventories in aiding land management decision-making: Examples from the U.S
A major challenge for todayâs resource managers is the linking of standand landscape-scale dynamics. The U.S. Forest Service has made major investments in programs at both the stand- (national forest project) and landscape/regional (Forest Inventory and Analysis [FIA] program) levels. FIA produces the only comprehensive and consistent statistical information on the...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
W. Keith Moser; Renate Bush; John D. Shaw; Mark H. Hansen; Mark D. Nelson
Year:
2010
Keywords:
silviculture, carbon sequestration, climate change, forest management
Source:
In: Jain, Theresa B.; Graham, Russell T.; Sandquist, Jonathan. Integrated management of carbon sequestration and biomass utilization opportunities in a changing climate: Proceedings of the 2009 National Silviculture Workshop; 2009 June 15-18; Boise, ID. Proceedings RMRS-P-61. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 211-225.
Using FIA data to inform United States forest carbon national-level accounting needs: 1990-2010
Forests are partially made up of carbon. Live vegetation, dead wood, forest floor, and soil all contain carbon. Through the process of photosynthesis, trees reduce carbon dioxide to carbohydrates and store the carbon in wood. By removing carbon dioxide from the atmosphere, forests mitigate climate change that may be brought on by increased atmospheric CO
2...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
Linda S. Heath
Year:
2013
Keywords:
Source:
In: Camp, A.E.; Irland, L.C.; Carroll, C.J.W. Long-term silvicultural and ecological studies: results for science and management, volume 2. GISF Research Paper 013. New Haven, CT: Yale University School of Forestry & Environmental Studies, Global Institute of Sustainable Forestry: 149-160.
Diameter growth models using FIA data from the Northeastern, Southern, and North Central Research Stations
Nonlinear, individual-tree, distance-independent annual diameter growth models are presented for species in two ecoregions defined by R.G. Bailey in the northern Lake States and in parts of the central and southern regions of the U.S. The models were calibrated using Forest Inventory and Analysis (FIA) data from undisturbed plots on land classified as timberland across...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
Veronica C. Lessard; Ronald E. McRoberts; Margaret R. Holdaway
Year:
2000
Keywords:
Source:
In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C., eds. Proceedings of the First Annual Forest Inventory and Analysis Symposium; Gen. Tech. Rep. NC-213. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station: 37-42
Landscape Builder: software for the creation of initial landscapes for LANDIS from FIA data
I developed Landscape Builder to create spatially explicit landscapes as starting conditions for LANDIS Pro 7.0 and LANDIS II landscape forest simulation models from classified satellite imagery and Forest Inventory and Analysis (FIA) data collected over multiple years. LANDIS Pro and LANDIS II models project future landscapes by simulating tree growth, tree species...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
William Dijak
Year:
2013
Keywords:
Landscape Builder, forest inventory and analysis, LANDIS Pro, LANDIS II, Landscape HSImodels
Source:
Computational Ecology and Software. 3(2): 17-25.
Estimating tree cavity distributions from historical FIA data
Tree cavities provide important habitat features for a variety of wildlife species. We describe an approach for using historical FIA data to estimate the number of trees containing cavities during the 1990s in seven states of the Upper Midwest. We estimated a total of 280 million cavity-containing trees. Iowa and Missouri had the highest percentages of cavity-...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
Mark D. Nelson; Charlotte Roy
Year:
2012
Keywords:
statistics, estimation, sampling, modeling, remote sensing, forest health, data integrity, environmental monitoring, cover estimation, international forest monitoring
Source:
In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 199-203.
Using inventory-based tree-ring data as a proxy for historical climate: Investigating the Pacific decadal oscillation and teleconnections
In 2009, the Interior West Forest Inventory and Analysis (FIA) program of the U.S. Forest Service started to archive approximately 11 000 increment cores collected in the Interior West states during the periodic inventories of the 1980s and 1990s. The two primary goals for use of the data were to provide a plot-linked database of radial growth to be used for growth...
https://www.fs.usda.gov/treesearch/search?keywords=%22FIA+data%22
Author(s):
J. DeRose; S. Wang; J. Shaw
Year:
2014
Keywords:
Forest Inventory and Analysis (FIA), radial growth, biometric analyses, gridded dendroecological database, tree-ring chronologies
Source:
The International Forestry Review. 16(5): 406.
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