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  1. 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.

  2. 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.

  3. 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

  4. 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.

  5. 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.

  6. 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.

  7. 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

  8. 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.

  9. 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)

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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 CO2...

    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.

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

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

    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.

  17. 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

  18. 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.

  19. 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.

  20. 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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