Sample records for forest inventory attributes

  1. The effect of blurred plot coordinates on interpolating forest biomass: a case study

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    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...

  2. Kentucky, 2007 forest inventory and analysis factsheet

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    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.

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

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    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...

  4. An annualized forest inventory for Nebraska

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    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...

  5. Biomass and carbon attributes of downed woody materials in forests of the United States

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    C.W. Woodall; B.F. Walters; S.N. Oswalt; G.M. Domke; C. Toney; A.N. Gray

    2013-01-01

    Due to burgeoning interest in the biomass/carbon attributes of forest downed and dead woody materials (DWMs) attributable to its fundamental role in the carbon cycle, stand structure/diversity, bioenergy resources, and fuel loadings, the U.S. Department of Agriculture has conducted a nationwide field-based inventory of DWM. Using the national DWM inventory, attributes...

  6. A technique for conducting point pattern analysis of cluster plot stem-maps

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    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...

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

    NASA Astrophysics Data System (ADS)

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

    2017-12-01

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

  8. Imputing forest structure attributes from stand inventory and remotely sensed data in western Oregon, USA

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    Andrew T. Hudak; A. Tod Haren; Nicholas L. Crookston; Robert J. Liebermann; Janet L. Ohmann

    2014-01-01

    Imputation is commonly used to assign reference stand observations to target stands based on covariate relationships to remotely sensed data to assign inventory attributes across the entire landscape. However, most remotely sensed data are collected at higher resolution than the stand inventory data often used by operational foresters. Our primary goal was to compare...

  9. Minnesota's forest resources, 2006

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    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...

  10. Tennessee, 2010 forest inventory and analysis factsheet

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    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...

  11. Kentucky, 2010—forest inventory and analysis factsheet

    Treesearch

    Christopher M. Oswalt

    2012-01-01

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

  12. Kentucky, 2011-forest inventory and analysis factsheet

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    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...

  13. Tennessee, 2011-forest inventory and analysis factsheet

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    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...

  14. Pennsylvania's Forest Resources, 2006

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    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...

  15. New Jersey's Forest Resources, 2006

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    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...

  16. Iowa's forest resources, 2006

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    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,...

  17. North Dakota's forest resources 2006

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    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...

  18. Delaware's Forest Resources, 2006

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    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...

  19. Maryland's Forest Resources, 2006

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    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...

  20. Illinois' forest resources, 2006

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    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...

  1. Forests of New Jersey, 2013

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    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...

  2. West Virginia's Forest Resources, 2006

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    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...

  3. New Hampshire's Forest Resources, 2006

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    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...

  4. Ohio's Forest Resources, 2006

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    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...

  5. Nebraska's forest resources, 2006

    Treesearch

    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...

  6. Forests of Illinois, 2013

    Treesearch

    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...

  7. Kansas' forest resources, 2006

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    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...

  8. Tennessee, 2008 forest inventory and analysis factsheet

    Treesearch

    Christopher Oswalt; Christopher King

    2011-01-01

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

  9. South Dakota's forest resources, 2008

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    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...

  10. South Dakota's Forest Resources, 2007

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    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...

  11. South Dakota's forest resources, 2010

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    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...

  12. South Dakota's forest resources, 2012

    Treesearch

    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...

  13. South Dakota's forest resources, 2011

    Treesearch

    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...

  14. South Dakota's forest resources, 2009

    Treesearch

    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...

  15. South Dakota's Forest Resources, 2006

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    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...

  16. Vermont's Forest Resources, 2006

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    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...

  17. Missouri's forest resources, 2006

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    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...

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

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    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...

  19. Attributes of down woody materials in hardwood forests of the Eastern United States

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    Christopher W. Woodall; Sonja N. Oswalt; Randall S. Morin

    2007-01-01

    The Forest Inventory and Analysis Program (FIA) of the USDA Forest Service conducts a national inventory of down woody materials (DWM) on forestland in the United States. Estimates of DWM for inventory plots occurring in eastern U.S. hardwood forests facilitate large-scale assessment of hardwood forest fuel loadings and wildlife habitat. Therefore, the objectives of...

  20. Forests of Illinois, 2014

    Treesearch

    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...

  1. Forests of New Jersey, 2014

    Treesearch

    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...

  2. The new forest carbon accounting framework for the United States

    Treesearch

    Grant M. Domke; John W. Coulston; Christopher W. Woodall

    2015-01-01

    The forest carbon accounting system used in recent National Greenhouse Gas Inventories (NGHGI) was developed more than a decade ago when the USDA Forest Service, Forest Inventory and Analysis annual inventory system was in its infancy and contemporary questions regarding the terrestrial sink (e.g., attribution) did not exist. The time has come to develop a new...

  3. Texas, 2008 forest inventory and analysis factsheet

    Treesearch

    James Bentley

    2011-01-01

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

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

    Treesearch

    Sara A. Goeking

    2015-01-01

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

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

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    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...

  6. Michigan's forest resources, 2009

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    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.

  7. Nebraska's forest resources, 2008

    Treesearch

    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.

  8. Mapping forest inventory and analysis data attributes within the framework of double sampling for stratification design

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    David C. Chojnacky; Randolph H. Wynne; Christine E. Blinn

    2009-01-01

    Methodology is lacking to easily map Forest Inventory and Analysis (FIA) inventory statistics for all attribute variables without having to develop separate models and methods for each variable. We developed a mapping method that can directly transfer tabular data to a map on which pixels can be added any way desired to estimate carbon (or any other variable) for a...

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

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    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...

  10. East Texas, 2011 forest inventory and analysis factsheet

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    Jason A. Cooper; James W. Bentley

    2012-01-01

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

  11. Temporal transferability of LiDAR-based imputation of forest structure attributes

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    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-...

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

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

    2014-01-01

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

  13. Indiana's forest resources, 2006

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    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.

  14. Forest resources of the Shawnee National Forest, 2007

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    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...

  15. Oklahoma, 2011 - forest inventory and analysis factsheet

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    Jason A. Cooper

    2013-01-01

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

  16. Forests of Kentucky, 2013

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    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...

  17. Forests of Tennessee, 2013

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    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....

  18. Forests of Tennessee, 2012

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    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...

  19. The Forests of Southern New England, 2007: A report on the forest resources of Connecticut, Massachusetts, and Rhode Island

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    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...

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

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    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...

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

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    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...

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

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    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...

  3. Connecticut's forest resources, 2010

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    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...

  4. Connecticut's forest resources, 2009

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    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...

  5. Maine's forest resources, 2012

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    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....

  6. Forests of Nebraska, 2013

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    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...

  7. Forests of Kansas, 2013

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    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...

  8. Nebraska's forest resources, 2009

    Treesearch

    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...

  9. Minnesota's forest resources, 2010

    Treesearch

    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...

  10. Minnesota's forest resources, 2012

    Treesearch

    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...

  11. Michigan's forest resources, 2011

    Treesearch

    S.A. Pugh

    2012-01-01

    This publication provides an overview of forest resource attributes for Michigan based on an annual inventory 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. For more information please refer to page 4 of this report or visit our...

  12. Pennsylvania's forest resources, 2007

    Treesearch

    G.L. McCaskill; W.H. McWilliams; B.J. Butler; D.M. Meneguzzo; C.J. Barnett; M.H. Hansen

    2011-01-01

    This publication provides an overview of forest resource attributes for Pennsylvania based on an annual inventory conducted by the Forest Inventory and Analysis (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, please refer to page 6 of...

  13. Pennsylvania's forest resources, 2011

    Treesearch

    G.L. McCaskill; W.H. McWilliams; C.J. Barnett

    2012-01-01

    This publication provides an overview of forest resource attributes for Pennsylvania based on an annual inventory conducted by the Forest Inventory and Analysis (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 please refer to page 4 of...

  14. Delaware's forest resources, 2007

    Treesearch

    T.W. Lister; G. Gladders; W. McWilliams; D. Meneguzo; C. Barnett; B. O' Connell

    2010-01-01

    This publication provides an overview of forest resource attributes for Delaware 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 the last page of this...

  15. Maryland's forest resources, 2008

    Treesearch

    T.W. Lister; J. Perdue; B. Butler; C. Barnett; B. O' Connell

    2010-01-01

    This publication provides an overview of forest resource attributes for Maryland based on an annual inventory (2004-2008) 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 the last...

  16. Massachusetts' forest resources, 2011

    Treesearch

    Brett J. Butler; Randall S. Morin; Mark D. Nelson

    2012-01-01

    This publication provides an overview of forest resource attributes for Massachusetts 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...

  17. Vermont's forest resources, 2010

    Treesearch

    R.S. Morin; M. Nelson; R. De Geus

    2011-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information, please refer to page 4 of this report....

  18. Iowa's Forest Resources, 2007

    Treesearch

    M.D. Nelson; M. Brewer

    2009-01-01

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

  19. Iowa's forest resources, 2012

    Treesearch

    M.D. Nelson; M. Brewer; S.A. Pugh

    2013-01-01

    This publication provides an overview of forest resource attributes for Iowa based on an annual inventory (2008-2012) 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, are updated annually. For more information please refer to page 4 of this report....

  20. Iowa's forest resources, 2009

    Treesearch

    M.D. Nelson; M. Brewer; S.J. Crocker

    2010-01-01

    This publication provides an overview of forest resource attributes for Iowa based on an annual inventory (2005-2009) 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, are updated annually. For more information, please refer to page 4 of this report....

  1. Iowa's forest resources, 2010

    Treesearch

    M.D. Nelson; M. Brewer

    2011-01-01

    This publication provides an overview of forest resource attributes for Iowa based on an annual inventory (2006-2010) 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, are updated annually. For more information please refer to page 4 of this report....

  2. Iowa's forest resources, 2011

    Treesearch

    M.D. Nelson; M. Brewer; G. Domke

    2012-01-01

    This publication provides an overview of forest resource attributes for Iowa based on an annual inventory (2007-2011) 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, are updated annually. For more information please refer to page 4 of this report....

  3. Connecticut's forest resources, 2011

    Treesearch

    Brett J. Butler; Randall S. Morin; Mark D. Nelson

    2012-01-01

    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...

  4. Maine's forest resources, 2007

    Treesearch

    G.L. McCaskill; W.H. McWilliams; B.J. Butler; D.M. Meneguzzo; C.J. Barnett; M.H. Hansen

    2010-01-01

    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 annual estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 4 of this...

  5. Michigan's forest resources, 2012

    Treesearch

    S.A. Pugh

    2013-01-01

    This publication provides an overview of forest resource attributes for Michigan based on an annual inventory 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. For more information please refer to page 4 of this report or visit our...

  6. Maryland's forest resources, 2011

    Treesearch

    Tonya Lister; J. Perdue

    2012-01-01

    This publication provides an overview of forest resource attributes for Maryland 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....

  7. Michigan's forest resources, 2010

    Treesearch

    S.A. Pugh

    2011-01-01

    This publication provides an overview of forest resource attributes for Michigan based on an annual inventory 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. For more information please refer to page 4 of this report or visit our...

  8. Michigan's Forest Resources, 2007

    Treesearch

    S.A. Pugh

    2008-01-01

    This publication provides an overview of forest resource attributes for Michigan based on an annual inventory (2003-2007) 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. For more information please refer to page 4 of this report...

  9. Wisconsin's forest resources, 2011

    Treesearch

    C.H. Perry

    2012-01-01

    This publication provides an overview of forest resource attributes for Wisconsin 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...

  10. Indiana's forest resources, 2011

    Treesearch

    C.W. Woodall; J. Gallion

    2012-01-01

    This publication provides an overview of forest resource attributes for Indiana 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....

  11. Missouri's forest resources, 2011

    Treesearch

    W.K. Moser; R.J. Piva; T.B. Treiman

    2012-01-01

    This publication provides an overview of forest resource attributes for Missouri based on an annual inventory conducted by the Forest Inventory and Analysis (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...

  12. Minnesota's forest resources, 2011

    Treesearch

    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...

  13. Maine's forest resources, 2011

    Treesearch

    G.L. McCaskill; W.H. McWilliams

    2012-01-01

    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....

  14. New Jersey's forest resources, 2007

    Treesearch

    Susan. J. Crocker; William H. McWilliams

    2010-01-01

    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 U.S. Forest Service, Northern Research Station. These estimates, along with web-posted core tables, will be updated annually. For more information, refer to page 4 of this report.

  15. Maryland's forest resources, 2007

    Treesearch

    T.W. Lister; J. Perdue; W. McWilliams; D. Meneguzzo; C. Barnett; B. O’Connell

    2010-01-01

    This publication provides an overview of forest resource attributes for Maryland based on an annual inventory (2004-2007) 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 the last...

  16. Illinois' Forest Resources, 2007

    Treesearch

    S.J. Crocker

    2009-01-01

    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 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...

  17. Forests of Nebraska, 2014

    Treesearch

    Dacia M. Meneguzzo; Susan J. Crocker

    2015-01-01

    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), U.S. Forest Service. The estimates presented in this update are based on field data collected in 2010-2014 with comparisons made to data collected from 2005-...

  18. Forests of Kansas, 2014

    Treesearch

    D.M. Meneguzzo; S.J. Crocker

    2015-01-01

    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 2010-2014 with comparisons made to data collected from...

  19. Wisconsin's forest resources, 2006

    Treesearch

    C.H. Perry; V.A. Everson

    2007-01-01

    Figure 2 was revised by the author in August 2008. This publication provides an overview of forest resource attributes for Wisconsin based on an annual inventory conducted by the Forest Inventory and Analysis program at the Northern Research Station of the U.S. Forest Service from 2002-2006. These estimates, along with associated core tables postedon the Internet, are...

  20. Nebraska's forest resources, 2010

    Treesearch

    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....

  1. Massachusetts' forest resources, 2012

    Treesearch

    Brett J. Butler

    2013-01-01

    This publication provides an overview of forest resource attributes for Massachusetts 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 3 of this...

  2. Connecticut's forest resources, 2012

    Treesearch

    Brett J. Butler

    2013-01-01

    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 3 of this report...

  3. Pennsylvania's forest resources, 2012

    Treesearch

    G.L. McCaskill; W.H. McWilliams; C.J. Barnett

    2013-01-01

    This publication provides an overview of forest resource attributes for Pennsylvania based on an annual inventory conducted by the Forest Inventory and Analysis (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 please refer to page 4 of...

  4. Delaware's forest resources, 2010

    Treesearch

    T.W. Lister; G. Gladders

    2010-01-01

    This publication provides an overview of forest resource attributes for Delaware 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....

  5. Pennsylvania's forest resources, 2010

    Treesearch

    G.L. McCaskill; W.H. McWilliams; C.J. Barnett

    2011-01-01

    This publication provides an overview of forest resource attributes for Pennsylvania based on an annual inventory conducted by the Forest Inventory and Analysis (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 please refer to page 4 of...

  6. Ohio's forest resources, 2008

    Treesearch

    R.H. Widmann; B.J. Butler; D. Balser

    2010-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 4 of this report.

  7. Massachusetts' forest resources, 2009

    Treesearch

    Brett J. Butler; Gordon. Boyce

    2011-01-01

    This publication provides an overview of forest resource attributes for Massachusetts 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...

  8. Wisconsin's Forest Resources, 2007

    Treesearch

    C.H. Perry; V.A. Everson

    2008-01-01

    This publication provides an overview of forest resource attributes for Wisconsin 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, are updated annually. For more information please refer to page 4 of this report.

  9. Wisconsin's forest resources, 2010

    Treesearch

    C.H. Perry

    2011-01-01

    This publication provides an overview of forest resource attributes for Wisconsin 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...

  10. Nebraska's forest resources, 2011

    Treesearch

    D.M. Meneguzzo; B. Walters

    2012-01-01

    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....

  11. Vermont's forest resources, 2007

    Treesearch

    R.S. Morin; G.M. McCaskill; W. McWilliams; R. De Geus

    2010-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 5 of this report....

  12. Delaware's forest resources, 2008

    Treesearch

    T.W. Lister; G. Gladders; B. Butler; C. Barnett; B. O' Connell

    2010-01-01

    This publication provides an overview of forest resource attributes for Delaware 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 the last page of this...

  13. Vermont's forest resources, 2012

    Treesearch

    R.S. Morin

    2013-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information, please refer to page 4 of this report....

  14. Ohio's forest resources, 2010

    Treesearch

    R.H. Widmann

    2011-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 4 of this report.

  15. Maryland's forest resources, 2012

    Treesearch

    T.W. Lister; J. Perdue

    2013-01-01

    This publication provides an overview of forest resource attributes for Maryland 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....

  16. Delaware's forest resources, 2012

    Treesearch

    T.W. Lister

    2013-01-01

    This publication provides an overview of forest resource attributes for Delaware 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....

  17. Pennsylvania's forest resources, 2008

    Treesearch

    G.L. McCaskill; W.H. McWilliams; B.J. Butler; D.M. Meneguzzo; C.J. Barnett; M.H. Hansen

    2011-01-01

    This publication provides an overview of forest resource attributes for Pennsylvania based on an annual inventory conducted by the Forest Inventory and Analysis (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 please refer to page 4 of...

  18. New Jersey's forest resources, 2008

    Treesearch

    Susan. J. Crocker

    2010-01-01

    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 U.S. Forest Service, Northern Research Station. These estimates, along with web-posted core tables, will be updated annually. For more information, refer to page 4 of this report.

  19. Maryland's forest resources, 2010

    Treesearch

    T.W. Lister; J. Perdue

    2011-01-01

    This publication provides an overview of forest resource attributes for Maryland 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....

  20. Minnesota's forest resources, 2009

    Treesearch

    P.D. Miles; D. Heinzen

    2010-01-01

    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...

  1. Illinois' forest resources, 2009

    Treesearch

    S.J. Crocker; C.W. Woodall

    2011-01-01

    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 page 4 of this...

  2. Maine's forest resources, 2008

    Treesearch

    G.L. McCaskill; W.H. McWilliams; B.J. Butler; D.M. Meneguzzo; C.J. Barnett; M.H. Hansen

    2010-01-01

    This publication provides an overview of forest resource attributes for this state based upon 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 please refer to page 4 of...

  3. Illinois' forest resources, 2011

    Treesearch

    S.J. Crocker

    2012-01-01

    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 page 4 of this...

  4. Indiana's forest resources, 2010

    Treesearch

    C.W. Woodall; M.N. Webb

    2011-01-01

    This publication provides an overview of forest resource attributes for Indiana 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....

  5. Maryland's forest resources, 2009

    Treesearch

    T.W. Lister; J. Perdue; A. Lister

    2011-01-01

    This publication provides an overview of forest resource attributes for Maryland 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....

  6. Vermont's forest resources, 2011

    Treesearch

    R.S. Morin; C.W. Woodall

    2012-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information, please refer to page 4 of this report....

  7. Massachusetts' forest resources, 2010

    Treesearch

    Brett J. Butler; William N. Hill; Cassandra Kurtz; W. Keith. Moser

    2011-01-01

    This publication provides an overview of forest resource attributes for Massachusetts 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...

  8. Wisconsin's forest resources, 2009

    Treesearch

    C.H. Perry

    2011-01-01

    This publication provides an overview of forest resource attributes for Wisconsin 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...

  9. Indiana's Forest Resources, 2007

    Treesearch

    C.W. Woodall; J. Gallion

    2008-01-01

    This publication provides an overview of forest resource attributes for Indiana 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....

  10. Wisconsin's forest resources, 2012

    Treesearch

    C.H. Perry

    2013-01-01

    This publication provides an overview of forest resource attributes for Wisconsin 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...

  11. Minnesota's Forest Resources, 2007

    Treesearch

    P.D. Miles; D. Heinzen

    2008-01-01

    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....

  12. Maine's forest resources, 2009

    Treesearch

    G.L. McCaskill; W.H. McWilliams

    2011-01-01

    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....

  13. Indiana's forest resources, 2009

    Treesearch

    C.W. Woodall; M.N. Webb; S.J. Crocker

    2010-01-01

    This publication provides an overview of forest resource attributes for Indiana 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....

  14. Ohio's forest resources, 2012

    Treesearch

    R.H. Widmann; R.S. Morin

    2013-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 4 of this report.

  15. New Jersey's forest resources, 2010

    Treesearch

    S. J. Crocker

    2011-01-01

    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 U.S. Forest Service, Northern Research Station. These estimates, along with web-posted core tables, will be updated annually. For more information, refer to page 4 of this report.

  16. Nebraska's Forest Resources, 2007

    Treesearch

    D.M. Meneguzzo

    2009-01-01

    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...

  17. Missouri's forest resources, 2009

    Treesearch

    W.K. Moser; C.H. Barnett; M.H. Hansen; T.B. Treiman

    2010-01-01

    This publication provides an overview of forest resource attributes for Missouri based on an annual inventory conducted by the Forest Inventory and Analysis (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...

  18. Indiana's Forest Resources, 2008

    Treesearch

    C.W. Woodall; M.N. Webb; J. Gallion

    2009-01-01

    This publication provides an overview of forest resource attributes for Indiana 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....

  19. Illinois' forest resources, 2008

    Treesearch

    S.J. Crocker

    2010-01-01

    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 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...

  20. Maine's forest resources, 2006

    Treesearch

    G.L. McCaskill; W.H. McWilliams; B.J. Butler; C.J. Barnett; M.H. Hansen

    2010-01-01

    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 annual estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 4 of this...

  1. Indiana's forest resources, 2012

    Treesearch

    C.W. Woodall; J. Gallion

    2013-01-01

    This publication provides an overview of forest resource attributes for Indiana 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....

  2. Vermont's forest resources, 2008

    Treesearch

    R.S. Morin; B.J. Butler; R. De Geus

    2010-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 4 of this report....

  3. Pennsylvania's forest resources, 2009

    Treesearch

    G.L. McCaskill; W.H. McWilliams; B.J. Butler; D.M. Meneguzzo; C.J. Barnett; M.H. Hansen

    2011-01-01

    This publication provides an overview of forest resource attributes for Pennsylvania based on an annual inventory conducted by the Forest Inventory and Analysis (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 please refer to page 4 of...

  4. Ohio's forest resources, 2009

    Treesearch

    R.H. Widmann; D. Balser

    2011-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information, please refer to page 4 of this report....

  5. Kansas' forest resources, 2010

    Treesearch

    W.K. Moser; C.H. Barnett; C.M. Kurtz; R.A. Atchison

    2011-01-01

    This publication provides an overview of forest resource attributes for Kansas 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....

  6. Kansas' forest resources, 2009

    Treesearch

    W.K. Moser; M.H. Hansen; C.H. Barnett; R.A. Atchison

    2010-01-01

    This publication provides an overview of forest resource attributes for Kansas 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....

  7. Delaware's forest resources, 2009

    Treesearch

    T.W. Lister; G. Gladders

    2011-01-01

    This publication provides an overview of forest resource attributes for Delaware 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....

  8. Illinois' forest resources, 2010

    Treesearch

    S.J. Crocker

    2011-01-01

    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 page 4 of this...

  9. Kansas' forest resources, 2012

    Treesearch

    W.K. Moser; P.D. Miles; R.A. Atchison

    2013-01-01

    This publication provides an overview of forest resource attributes for Kansas 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....

  10. Kansas' forest resources, 2011

    Treesearch

    W.K. Moser; D.E. Haugen; R.A. Atchison

    2012-01-01

    This publication provides an overview of forest resource attributes for Kansas 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....

  11. Missouri's Forest Resources, 2007

    Treesearch

    W.K. Moser; M.H. Hansen; S.J. Crocker; T.B. Treiman

    2008-01-01

    This publication provides an overview of forest resource attributes for Missouri based on an annual inventory conducted by the Forest Inventory and Analysis (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....

  12. Kansas' Forest Resources, 2007

    Treesearch

    W.K. Moser; M.H. Hansen; R.L. Atchison

    2008-01-01

    This publication provides an overview of forest resource attributes for Kansas 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....

  13. K-Nearest Neighbor Estimation of Forest Attributes: Improving Mapping Efficiency

    Treesearch

    Andrew O. Finley; Alan R. Ek; Yun Bai; Marvin E. Bauer

    2005-01-01

    This paper describes our efforts in refining k-nearest neighbor forest attributes classification using U.S. Department of Agriculture Forest Service Forest Inventory and Analysis plot data and Landsat 7 Enhanced Thematic Mapper Plus imagery. The analysis focuses on FIA-defined forest type classification across St. Louis County in northeastern Minnesota. We outline...

  14. Classifying forest inventory data into species-based forest community types at broad extents: exploring tradeoffs among supervised and unsupervised approaches

    Treesearch

    Jennifer K. Costanza; Don Faber-Langendoen; John W. Coulston; David N. Wear

    2018-01-01

    Background: Knowledge of the different kinds of tree communities that currently exist can provide a baseline for assessing the ecological attributes of forests and monitoring future changes. Forest inventory data can facilitate the development of this baseline knowledge across broad extents, but they first must be classified into forest...

  15. New York's forest resources, 2007

    Treesearch

    R.H. Widmann; S. Crawford

    2010-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 4 of this report...

  16. Connecticut's Forest Resources, 2006

    Treesearch

    Brett J. Butler; I. Ted Goodnight; Helene F. Hochholzer; Barbara O' Connell; Bryan Tirrell

    2008-01-01

    Table 1 and Figures 2 and 3 have been revised by the authors and these revisions were incorporated into the publication on May 27, 2008. This publication provides an overview of forest resource attributes for Connecticut 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...

  17. Rhode Island's Forest Resources, 2006

    Treesearch

    Brett J. Butler; I. Ted Goodnight; Barbara O' Connell; Bruce Payton; Bryan Tirrell

    2008-01-01

    Table 1 and Figures 2 and 3 have been revised by the authors and these revisions were incorporated into the publication on May 27, 2008. This publication provides an overview of forest resource attributes for Rhode Island based on an annual inventory conducted by the Forest Inventory and Analysis program at the Northern Research Station of the U.S. Forest Service....

  18. Massachusetts' Forest Resources, 2006

    Treesearch

    Brett J. Butler; Charles Burnham; I. Ted Goodnight; Barbara O' Connell; Bryan Tirrell

    2008-01-01

    Table 1 and Figures 2 and 3 have been revised by the authors and these revisions were incorporated into the publication on May 27, 2008. This publication provides an overview of forest resource attributes for Massachusetts based on an annual inventory conducted by the Forest Inventory and Analysis program at the Northern Research Station of the U.S. Forest Service....

  19. North Dakota's forest resources, 2010

    Treesearch

    D.E. Haugen; R.A. Harsel

    2011-01-01

    This publication provides an overview of forest resource attributes for North Dakota 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...

  20. Rhode Island's forest resources, 2011

    Treesearch

    Brett J. Butler; Randall S. Morin; Mark D. Nelson

    2012-01-01

    This publication provides an overview of forest resource attributes for Rhode Island 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...

  1. New Hampshire's forest resources, 2010

    Treesearch

    R.S. Morin; M. Nelson

    2011-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information, please refer to page 4 of this...

  2. Standing dead tree resources in forests of the United States

    Treesearch

    Christopher W. Woodall; Karen L. Waddell; Christopher M. Oswalt; James E. Smith

    2013-01-01

    Given the importance of standing dead trees to numerous forest ecosystem attributes/ processes such as fuel loadings and wildlife habitat, the Forest Inventory and Analysis (FIA) Program of the Forest Service, U.S. Department of Agriculture, initiated a consistent nationwide inventory of standing dead trees in 1999. As the first cycle of annual standing dead tree...

  3. Rhode Island's forest resources, 2010

    Treesearch

    Brett J. Butler; Cassandra Kurtz; W. Keith Moser; Bruce. Payton

    2011-01-01

    This publication provides an overview of forest resource attributes for Rhode Island 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...

  4. Michigan's forest resources, 2006

    Treesearch

    S.A. Pugh

    2007-01-01

    Figure 2 was revised by the author on August 20, 2008. This publication provides an overview of forest resource attributes for Michigan 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. Note...

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

    Treesearch

    Renee A. O' Brien

    1999-01-01

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

  6. North Dakota's forest resources, 2008

    Treesearch

    D.E. Haugen; A.J. Lister

    2010-01-01

    This publication provides an overview of forest resource attributes for North Dakota 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...

  7. Rhode Island's forest resources, 2012

    Treesearch

    Brett J. Butler

    2013-01-01

    This publication provides an overview of forest resource attributes for Rhode Island 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 3 of this...

  8. New Hampshire's forest resources, 2011

    Treesearch

    R.S. Morin; C.W. Woodall

    2012-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information, please refer to page 4 of this...

  9. New York's forest resources, 2012

    Treesearch

    R.H. Widmann

    2013-01-01

    This publication provides an overview of forest resource attributes for New York 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...

  10. New York's forest resources, 2008

    Treesearch

    R.H. Widmann; B.J. Butler; S. Crawford

    2010-01-01

    This publication provides an overview of forest resource attributes for New York 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....

  11. New Hampshire's forest resources, 2012

    Treesearch

    R.S. Morin; K. Lombard

    2013-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information, please refer to page 4 of this...

  12. West Virginia's forest resources, 2012

    Treesearch

    R.H. Widmann

    2013-01-01

    This publication provides an overview of forest resource attributes for West Virginia 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...

  13. New Hampshire's forest resources, 2007

    Treesearch

    R.S. Morin; G.M. McCaskill; W. McWilliams; M. Tansey

    2010-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 5 of this...

  14. Ohio's forest resources, 2007

    Treesearch

    R.H. Widmann; G.M. McCaskill; W. McWilliams; D. Balser

    2010-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 5 of this report...

  15. Rhode Island's forest resources, 2009

    Treesearch

    Brett J. Butler; Bruce. Payton

    2011-01-01

    This publication provides an overview of forest resource attributes for Rhode Island 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...

  16. North Dakota's forest resources, 2011

    Treesearch

    D.E. Haugen; R.A. Harsel

    2012-01-01

    This publication provides an overview of forest resource attributes for North Dakota 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...

  17. North Dakota's Forest Resources, 2007

    Treesearch

    D.E. Haugen; M. Kangas

    2008-01-01

    This publication provides an overview of forest resource attributes for North Dakota 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...

  18. New Hampshire's forest resources, 2009

    Treesearch

    R.S. Morin

    2011-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information, please refer to page 4 of this...

  19. New Hampshire's forest resources, 2008

    Treesearch

    R.S. Morin; B.J. Butler; M. Tansey

    2010-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 4 of this...

  20. New York's forest resources, 2009

    Treesearch

    R.H. Widmann; S. Crawford

    2011-01-01

    This publication provides an overview of forest resource attributes for New York 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...

  1. New York's forest resources, 2010

    Treesearch

    R.H. Widmann; S. Crawford

    2011-01-01

    This publication provides an overview of forest resource attributes for New York 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...

  2. West Virginia's forest resources, 2009

    Treesearch

    R.H. Widmann; G.W. Cook

    2011-01-01

    This publication provides an overview of forest resource attributes for West Virginia 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...

  3. West Virginia's forest resources, 2007

    Treesearch

    R.H. Widmann; G.M. McCaskill; W. McWilliams; G.W. Cook

    2010-01-01

    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 estimates, along with web-posted core tables, will be updated annually. For more information please refer to page 5 of this report...

  4. West Virginia's forest resources, 2010

    Treesearch

    R.H. Widmann; G.W. Cook

    2011-01-01

    This publication provides an overview of forest resource attributes for West Virginia 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...

  5. West Virginia's forest resources, 2008

    Treesearch

    R.H. Widmann; B.J. Butler; G.W. Cook

    2010-01-01

    This publication provides an overview of forest resource attributes for West Virginia 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...

  6. Forest inventory and stratified estimation: a cautionary note

    Treesearch

    John Coulston

    2008-01-01

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

  7. Errors in terrain-based model preditions caused by altered forest inventory plot locations in the Southern Appalachian Mountains, USA.

    Treesearch

    Huei-Jin Wang; Stephen Prisley; Philip Radtke; John Coulston

    2012-01-01

    Forest modeling applications that cover large geographic area can benefit from the use of widely-held knowledge about relationships between forest attributes and topographic variables. A noteworthy example involved the coupling of field survey data from the Forest Inventory Analysis (FIA) program of USDA Forest Service with digital elevation model (DEM) data in...

  8. Stratifying to reduce bias caused by high nonresponse rates: A case study from New Mexico’s forest inventory

    Treesearch

    Sara A. Goeking; Paul L. Patterson

    2013-01-01

    The USDA Forest Service’s Forest Inventory and Analysis (FIA) Program applies specific sampling and analysis procedures to estimate a variety of forest attributes. FIA’s 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...

  9. The scenic impact of key forest attributes and long-term management alternatives for hardwood forests

    Treesearch

    R.G. Ribe

    1991-01-01

    The problem of identifying the scenic value of forest attributes and management plans is empirically explored. A sample of hardwood forests in Wisconsin, representing a diversity of management histories, is analyzed through photographs and field inventories. Scenic beauty judgements of the photographs by a diversity of respondents yield general scenic beauty estimates...

  10. A framework for reporting tree cover attributes in agricultural landscapes

    Treesearch

    Dacia M. Meneguzzo; Greg C. Liknes

    2012-01-01

    The definition of forest land used by the USDA Forest Service’s Forest Inventory and Analysis program includes area, width, and density requirements. These requirements frequently exclude from the inventory any trees occupyingnarrow riparian corridors or linear tree plantings (e.g., windbreaks and shelterbelts). With recent attention being paid to such topics as bio-...

  11. Evaluating Classified MODIS Satellite Imagery as a Stratification Tool

    Treesearch

    Greg C. Liknes; Mark D. Nelson; Ronald E. McRoberts

    2004-01-01

    The Forest Inventory and Analysis (FIA) program of the USDA Forest Service collects forest attribute data on permanent plots arranged on a hexagonal network across all 50 states and Puerto Rico. Due to budget constraints, sample sizes sufficient to satisfy national FIA precision standards are seldom achieved for most inventory variables unless the estimation process is...

  12. Fuel load modeling from mensuration attributes in temperate forests in northern Mexico

    Treesearch

    Maricela Morales-Soto; Marín Pompa-Garcia

    2013-01-01

    The study of fuels is an important factor in defining the vulnerability of ecosystems to forest fires. The aim of this study was to model a dead fuel load based on forest mensuration attributes from forest management inventories. A scatter plot analysis was performed and, from explanatory trends between the variables considered, correlation analysis was carried out...

  13. Using satellite imagery as ancillary data for increasing the precision of estimates for the Forest Inventory and Analysis program of the USDA Forest Service

    Treesearch

    Ronald E. McRoberts; Geoffrey R. Holden; Mark D. Nelson; Greg C. Liknes; Dale D. Gormanson

    2006-01-01

    Forest inventory programs report estimates of forest variables for areas of interest ranging in size from municipalities, to counties, to states or provinces. Because of numerous factors, sample sizes are often insufficient to estimate attributes as precisely as is desired, unless the estimation process is enhanced using ancillary data. Classified satellite imagery has...

  14. Conducting tests for statistically significant differences using forest inventory data

    Treesearch

    James A. Westfall; Scott A. Pugh; John W. Coulston

    2013-01-01

    Many forest inventory and monitoring programs are based on a sample of ground plots from which estimates of forest resources are derived. In addition to evaluating metrics such as number of trees or amount of cubic wood volume, it is often desirable to make comparisons between resource attributes. To properly conduct statistical tests for differences, it is imperative...

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

    Treesearch

    Steen Magnussen; P. Boudewyn; M. Gillis

    2000-01-01

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

  16. Application of an imputation method for geospatial inventory of forest structural attributes across multiple spatial scales in the Lake States, U.S.A

    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.

  17. Assessing Oak Decline Incidence and Distribution in the Southern U.S. Using Forest Inventory and Analysis Data

    Treesearch

    Steven W. Oak; James R. Steinman; Dale A. Starkey; Edwin K. Yockey

    2004-01-01

    Forest Inventory and Analysis data for twelve southern states were used to evaluate regional oak decline status. Total host type, vulnerable host type, and affected areas were determined. The attributes used for classification were forest type, predominant stem size class, oak basal area percent, and dieback damage coding. Host type totaled 104.7 million acres in the...

  18. 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.

  19. Large-area forest inventory regression modeling: spatial scale considerations

    Treesearch

    James A. Westfall

    2015-01-01

    In many forest inventories, statistical models are employed to predict values for attributes that are difficult and/or time-consuming to measure. In some applications, models are applied across a large geographic area, which assumes the relationship between the response variable and predictors is ubiquitously invariable within the area. The extent to which this...

  20. Estimating areal means and variances of forest attributes using the k-Nearest Neighbors technique and satellite imagery

    Treesearch

    Ronald E. McRoberts; Erkki O. Tomppo; Andrew O. Finley; Heikkinen Juha

    2007-01-01

    The k-Nearest Neighbor (k-NN) technique has become extremely popular for a variety of forest inventory mapping and estimation applications. Much of this popularity may be attributed to the non-parametric, multivariate features of the technique, its intuitiveness, and its ease of use. When used with satellite imagery and forest...

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

    Treesearch

    Francis A. Roesch; William H. McWilliams

    2007-01-01

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

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

    Treesearch

    Francis A. Roesch; William H. McWilliams

    2005-01-01

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

  3. Recent changes in the estimation of standing dead tree biomass and carbon stocks in the U.S. forest inventory

    Treesearch

    Grant M. Domke; Christopher W. Woodall; James E. Smith

    2012-01-01

    Until recently, standing dead tree biomass and carbon (C) has been estimated as a function of live tree growing stock volume in the U.S. Forest Service, Forest Inventory and Analysis (FIA) Program. Traditional estimates of standing dead tree biomass/C attributes were based on merchantability standards that did not reflect density reductions or structural loss due to...

  4. Parametric, bootstrap, and jackknife variance estimators for the k-Nearest Neighbors technique with illustrations using forest inventory and satellite image data

    Treesearch

    Ronald E. McRoberts; Steen Magnussen; Erkki O. Tomppo; Gherardo Chirici

    2011-01-01

    Nearest neighbors techniques have been shown to be useful for estimating forest attributes, particularly when used with forest inventory and satellite image data. Published reports of positive results have been truly international in scope. However, for these techniques to be more useful, they must be able to contribute to scientific inference which, for sample-based...

  5. North Dakota's forests 2005

    Treesearch

    David E. Haugen; Michael Kangas; Susan J. Crocker; Charles H. Perry; Christopher W. Woodall; Brett J. Butler; Barry T. Wilson; Dan J. Kaisershot

    2009-01-01

    The first completed annual inventory of North Dakota's forests reports estimates of more than 724,000 acres of forest land. Information about forest attributes and forest health is presented along with information on agents of change including changing land use patterns and the introduction of nonnative plants, insects, and disease.

  6. Minnesota's forests 1999-2003 (Part A)

    Treesearch

    Patrick D. Miles; Keith Jacobson; Gary J. Brand; Ed Jepsen; Dacia Meneguzzo; Manfred E. Mielke; Cassandra Olson; Charles H. (Hobie) Perry; Ronald J. Piva; Barry Tyler Wilson; Christopher Woodall

    2007-01-01

    The first completed annual inventory of Minnesota's forests reports more than 16.2 million acres of forest land. Additional forest attribute and forest health information is presented along with information on agents of change including changing land use patterns and the introduction of nonnative plants, insects, and diseases.

  7. Tree-level imputation techniques to estimate current plot-level attributes in the Pacific Northwest using paneled inventory data

    Treesearch

    Bianca Eskelson; Temesgen Hailemariam; Tara Barrett

    2009-01-01

    The Forest Inventory and Analysis program (FIA) of the US Forest Service conducts a nationwide annual inventory. One panel (20% or 10% of all plots in the eastern and western United States, respectively) is measured each year. The precision of the estimates for any given year from one panel is low, and the moving average (MA), which is considered to be the default...

  8. Can global navigation satellite system signals reveal the ecological attributes of forests?

    NASA Astrophysics Data System (ADS)

    Liu, Jingbin; Hyyppä, Juha; Yu, Xiaowei; Jaakkola, Anttoni; Liang, Xinlian; Kaartinen, Harri; Kukko, Antero; Zhu, Lingli; Wang, Yunsheng; Hyyppä, Hannu

    2016-08-01

    Forests have important impacts on the global carbon cycle and climate, and they are also related to a wide range of industrial sectors. Currently, one of the biggest challenges in forestry research is effectively and accurately measuring and monitoring forest variables, as the exploitation potential of forest inventory products largely depends on the accuracy of estimates and on the cost of data collection. A low-cost crowdsourcing solution is needed for forest inventory to collect forest variables. Here, we propose global navigation satellite system (GNSS) signals as a novel type of observables for predicting forest attributes and show the feasibility of utilizing GNSS signals for estimating important attributes of forest plots, including mean tree height, mean diameter at breast height, basal area, stem volume and tree biomass. The prediction accuracies of the proposed technique were better in boreal forest conditions than those of the conventional techniques of 2D remote sensing. More importantly, this technique provides a novel, cost-effective way of collecting large-scale forest measurements in the crowdsourcing context. This technique can be applied by, for example, harvesters or persons hiking or working in forests because GNSS devices are widely used, and the field operation of this technique is simple and does not require professional forestry skills.

  9. The effects of forest fragmentation on forest stand attributes

    Treesearch

    Ronald E. McRoberts; Greg C. Liknes

    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 a logistic regression model. The maps were used to estimate quantitative indices of forest fragmentation. Correlations between the values of the indices and...

  10. Analysis of the 1996 Wisconsin forest statistics by habitat type.

    Treesearch

    John Kotar; Joseph A. Kovach; Gary Brand

    1999-01-01

    The fifth inventory of Wisconsin's forests is presented from the perspective of habitat type as a classification tool. Habitat type classifies forests based on the species composition of the understory plant community. Various forest attributes are summarized by habitat type and management implications are discussed.

  11. Michigan's forests 2004

    Treesearch

    Scott A. Pugh; Mark H. Hansen; Lawrence D. Pedersen; Douglas C. Heym; Brett J. Butler; Susan J. Crocker; Dacia Meneguzzo; Charles H. Perry; David E. Haugen; Christopher Woodall; Ed Jepsen

    2009-01-01

    The first annual inventory of Michigan's forests, completed in 2004, covers more than 19.3 million acres of forest land. The data in this report are based on visits to 10,355 forested plots from 2000 to 2004. In addition to detailed information on forest attributes, this report includes data on forest health, biomass, land-use change, and timber-product outputs....

  12. Curious or spurious correlations within a national-scale forest inventory?

    Treesearch

    Christopher W. Woodall; James A. Westfall

    2012-01-01

    Foresters are increasingly required to assess trends not only in traditional forest attributes (e.g., growing-stock volumes), but also across suites of forest health indicators and site/climate variables. Given the tenuous relationship between correlation and causality within extremely large datasets, the goal of this study was to use a nationwide annual forest...

  13. Estimating number and size of forest patches from FIA plot data

    Treesearch

    Mark D. Nelson; Andrew J. Lister; Mark H. Hansen

    2009-01-01

    Forest inventory and analysis (FIA) annual plot data provide for estimates of forest area, type, volume, growth, and other attributes. Estimates of forest landscape metrics, such as those describing abundance, size, and shape of forest patches, however, typically are not derived from FIA plot data but from satellite image-based land cover maps. Associating image-based...

  14. Effects of satellite image spatial aggregation and resolution on estimates of forest land area

    Treesearch

    M.D. Nelson; R.E. McRoberts; G.R. Holden; M.E. Bauer

    2009-01-01

    Satellite imagery is being used increasingly in association with national forest inventories (NFIs) to produce maps and enhance estimates of forest attributes. We simulated several image spatial resolutions within sparsely and heavily forested study areas to assess resolution effects on estimates of forest land area, independent of other sensor characteristics. We...

  15. Combining forest inventory, satellite remote sensing, and geospatial data for mapping forest attributes of the conterminous United States

    Treesearch

    Mark Nelson; Greg Liknes; Charles H. Perry

    2009-01-01

    Analysis and display of forest composition, structure, and pattern provides information for a variety of assessments and management decision support. The objective of this study was to produce geospatial datasets and maps of conterminous United States forest land ownership, forest site productivity, timberland, and reserved forest land. Satellite image-based maps of...

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

    PubMed

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

    2018-05-21

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

  17. Design tool for inventory and monitoring

    Treesearch

    Charles T. Scott; Renate Bush

    2009-01-01

    Forest survey planning typically begins by determining the area to be sampled and the attributes to be measured. All too often the data are collected but underutilized because they did not address the critical management questions. The Design Tool for Inventory and Monitoring (DTIM) is being developed by the National Inventory and Monitoring Applications Center in...

  18. Small-area estimation of forest attributes within fire boundaries

    Treesearch

    T. Frescino; G. Moisen; K. Adachi; J. Breidt

    2014-01-01

    Wildfires are gaining more attention every year as they burn more frequently, more intensely, and across larger landscapes. Generating timely estimates of forest resources within fire perimeters is important for land managers to quickly determine the impact of fi res on U.S. forests. The U.S. Forest Service’s Forest Inventory and Analysis (FIA) program needs tools to...

  19. Comparison of interferometric and stereo-radargrammetric 3D metrics in mapping of forest resources

    NASA Astrophysics Data System (ADS)

    Karila, K.; Karjalainen, M.; Yu, X.; Vastaranta, M.; Holopainen, M.; Hyyppa, J.

    2015-04-01

    Accurate forest resources maps are needed in diverse applications ranging from the local forest management to the global climate change research. In particular, it is important to have tools to map changes in forest resources, which helps us to understand the significance of the forest biomass changes in the global carbon cycle. In the task of mapping changes in forest resources for wide areas, Earth Observing satellites could play the key role. In 2013, an EU/FP7-Space funded project "Advanced_SAR" was started with the main objective to develop novel forest resources mapping methods based on the fusion of satellite based 3D measurements and in-situ field measurements of forests. During the summer 2014, an extensive field surveying campaign was carried out in the Evo test site, Southern Finland. Forest inventory attributes of mean tree height, basal area, mean stem diameter, stem volume, and biomass, were determined for 91 test plots having the size of 32 by 32 meters (1024 m2). Simultaneously, a comprehensive set of satellite and airborne data was collected. Satellite data also included a set of TanDEM-X (TDX) and TerraSAR-X (TSX) X-band synthetic aperture radar (SAR) images, suitable for interferometric and stereo-radargrammetric processing to extract 3D elevation data representing the forest canopy. In the present study, we compared the accuracy of TDX InSAR and TSX stereo-radargrammetric derived 3D metrics in forest inventory attribute prediction. First, 3D data were extracted from TDX and TSX images. Then, 3D data were processed as elevations above the ground surface (forest canopy height values) using an accurate Digital Terrain Model (DTM) based on airborne laser scanning survey. Finally, 3D metrics were calculated from the canopy height values for each test plot and the 3D metrics were compared with the field reference data. The Random Forest method was used in the forest inventory attributes prediction. Based on the results InSAR showed slightly better performance in forest attribute (i.e. mean tree height, basal area, mean stem diameter, stem volume, and biomass) prediction than stereo-radargrammetry. The results were 20.1% and 28.6% in relative root mean square error (RMSE) for biomass prediction, for TDX and TSX respectively.

  20. The new forest carbon accounting framework for the United States

    NASA Astrophysics Data System (ADS)

    Domke, G. M.; Woodall, C. W.; Coulston, J.; Wear, D. N.; Healey, S. P.; Walters, B. F.

    2015-12-01

    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 framework that can quickly address new questions, enables forest carbon analytics, and uses all the inventory information (e.g., disturbances and land use change) while having the flexibility to engage a wider breadth of stakeholders and partner agencies. The Forest Carbon Accounting Framework (FCAF) is comprised of a forest dynamics module and a land use dynamics module. Together these modules produce data-driven estimates of carbon stocks and stock changes in forest ecosystems that are sensitive to carbon sequestration, forest aging, and disturbance effects as well as carbon stock transfers associated with afforestation and deforestation. The new accounting system was used in the 2016 NGHGI report and research is currently underway to incorporate emerging non-live tree carbon pool data, remotely sensed information, and auxiliary data (e.g., climate information) into the FCAF.

  1. Estimating mapped-plot forest attributes with ratios of means

    Treesearch

    S.J. Zarnoch; W.A. Bechtold

    2000-01-01

    The mapped-plot design utilized by the U.S. Department of Agriculture (USDA) Forest Inventory and Analysis and the National Forest Health Monitoring Programs is described. Data from 2458 forested mapped plots systematically spread across 25 States reveal that 35 percent straddle multiple conditions. The ratio-of-means estimator is developed as a method to obtain...

  2. From Models to Measurements: Comparing Downed Dead Wood Carbon Stock Estimates in the U.S. Forest Inventory

    Treesearch

    Grant M. Domke; Christopher W. Woodall; Brian F. Walters; James E. Smith

    2013-01-01

    The inventory and monitoring of coarse woody debris (CWD) carbon (C) stocks is an essential component of any comprehensive National Greenhouse Gas Inventory (NGHGI). Due to the expense and difficulty associated with conducting field inventories of CWD pools, CWD C stocks are often modeled as a function of more commonly measured stand attributes such as live tree C...

  3. Effects of rural residential development on forest communities in Oregon and Washington, USA

    Treesearch

    David L. Azuma; Bianca N.I. Eskelson; Joel L. Thompson

    2014-01-01

    Rural residential development in forests of Oregon and Washington continues to be a key driver of land use change. This type of development can have a variety of effects on the goods and services forests provide to the region. We used structure density from photo-interpreted points around forest inventory and analysis plots to examine differences in forest attributes...

  4. Estimation and modeling of forest attributes across large spatial scales using BiomeBGC, high-resolution imagery, LiDAR data, and inventory data

    NASA Astrophysics Data System (ADS)

    Golinkoff, Jordan Seth

    The accurate estimation of forest attributes at many different spatial scales is a critical problem. Forest landowners may be interested in estimating timber volume, forest biomass, and forest structure to determine their forest's condition and value. Counties and states may be interested to learn about their forests to develop sustainable management plans and policies related to forests, wildlife, and climate change. Countries and consortiums of countries need information about their forests to set global and national targets to deal with issues of climate change and deforestation as well as to set national targets and understand the state of their forest at a given point in time. This dissertation approaches these questions from two perspectives. The first perspective uses the process model Biome-BGC paired with inventory and remote sensing data to make inferences about a current forest state given known climate and site variables. Using a model of this type, future climate data can be used to make predictions about future forest states as well. An example of this work applied to a forest in northern California is presented. The second perspective of estimating forest attributes uses high resolution aerial imagery paired with light detection and ranging (LiDAR) remote sensing data to develop statistical estimates of forest structure. Two approaches within this perspective are presented: a pixel based approach and an object based approach. Both approaches can serve as the platform on which models (either empirical growth and yield models or process models) can be run to generate inferences about future forest state and current forest biogeochemical cycling.

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

    Treesearch

    Berthold Traub; Michael Kohl; Risto Paivinen; Olaf Kugler

    2000-01-01

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

  6. Placing man in regional landscape classification: Use of Forest Survey data to assess human influences for southern U.S. forest ecosystems

    Treesearch

    Victor A. Rudis; John B. Tansey

    1991-01-01

    Information from plots surveyed by U.S.D.A., Forest Service, Forest Inventory and Analysis (FIA) units provides a basis for classifying human-dominated ecosystems at the regional scale of resolution.Attributes include forest stand measures, evidence of human influence, and other disturbances.Data from recent FIA surveys suggest that human influences are common to...

  7. Development and applications of the LANDFIRE forest structure layers

    Treesearch

    Chris Toney; Birgit Peterson; Don Long; Russ Parsons; Greg Cohn

    2012-01-01

    The LANDFIRE program is developing 2010 maps of vegetation and wildland fuel attributes for the United States at 30-meter resolution. Currently available vegetation layers include ca. 2001 and 2008 forest canopy cover and canopy height derived from Landsat and Forest Inventory and Analysis (FIA) plot measurements. The LANDFIRE canopy cover layer for the conterminous...

  8. The New Southern FIA Data Compilation System

    Treesearch

    V. Clark Baldwin; Larry Royer

    2001-01-01

    In general, the major national Forest Inventory and Analysis annual inventory emphasis has been on data-base design and not on data processing and calculation of various new attributes. Two key programming techniques required for efficient data processing are indexing and modularization. The Southern Research Station Compilation System utilizes modular and indexing...

  9. Classification of forest land attributes using multi-source remotely sensed data

    NASA Astrophysics Data System (ADS)

    Pippuri, Inka; Suvanto, Aki; Maltamo, Matti; Korhonen, Kari T.; Pitkänen, Juho; Packalen, Petteri

    2016-02-01

    The aim of the study was to (1) examine the classification of forest land using airborne laser scanning (ALS) data, satellite images and sample plots of the Finnish National Forest Inventory (NFI) as training data and to (2) identify best performing metrics for classifying forest land attributes. Six different schemes of forest land classification were studied: land use/land cover (LU/LC) classification using both national classes and FAO (Food and Agricultural Organization of the United Nations) classes, main type, site type, peat land type and drainage status. Special interest was to test different ALS-based surface metrics in classification of forest land attributes. Field data consisted of 828 NFI plots collected in 2008-2012 in southern Finland and remotely sensed data was from summer 2010. Multinomial logistic regression was used as the classification method. Classification of LU/LC classes were highly accurate (kappa-values 0.90 and 0.91) but also the classification of site type, peat land type and drainage status succeeded moderately well (kappa-values 0.51, 0.69 and 0.52). ALS-based surface metrics were found to be the most important predictor variables in classification of LU/LC class, main type and drainage status. In best classification models of forest site types both spectral metrics from satellite data and point cloud metrics from ALS were used. In turn, in the classification of peat land types ALS point cloud metrics played the most important role. Results indicated that the prediction of site type and forest land category could be incorporated into stand level forest management inventory system in Finland.

  10. Using satellite image-based maps and ground inventory data to estimate the area of the remaining Atlantic forest in the Brazilian state of Santa Catarina

    Treesearch

    Alexander C. Vibrans; Ronald E. McRoberts; Paolo Moser; Adilson L. Nicoletti

    2013-01-01

    Estimation of large area forest attributes, such as area of forest cover, from remote sensing-based maps is challenging because of image processing, logistical, and data acquisition constraints. In addition, techniques for estimating and compensating for misclassification and estimating uncertainty are often unfamiliar. Forest area for the state of Santa Catarina in...

  11. Attributes of standing dead trees in forests of the United States

    Treesearch

    Christopher W. Woodall; James E. Smith; Patrick D. Miles

    2009-01-01

    Standing dead trees in forests of the United States serve as wildlife habitat, a fuel loading component, and carbon stocks. Although standing dead trees are a vital component of forest ecosystems, information regarding this resource across the Nation is lacking. The first annual inventory of standing dead trees across the United States was initiated in 1999, resulting...

  12. A two-step nearest neighbors algorithm using satellite imagery for predicting forest structure within species composition classes

    Treesearch

    Ronald E. McRoberts

    2009-01-01

    Nearest neighbors techniques have been shown to be useful for predicting multiple forest attributes from forest inventory and Landsat satellite image data. However, in regions lacking good digital land cover information, nearest neighbors selected to predict continuous variables such as tree volume must be selected without regard to relevant categorical variables such...

  13. The effects of rectification and Global Positioning System errors on satellite image-based estimates of forest area

    Treesearch

    Ronald E. McRoberts

    2010-01-01

    Satellite image-based maps of forest attributes are of considerable interest and are used for multiple purposes such as international reporting by countries that have no national forest inventory and small area estimation for all countries. Construction of the maps typically entails, in part, rectifying the satellite images to a geographic coordinate system, observing...

  14. FIA BioSum: a tool to evaluate financial costs, opportunities and effectiveness of fuel treatments.

    Treesearch

    Jeremy Fried; Glenn Christensen

    2004-01-01

    FIA BioSum, a tool developed by the USDA Forest Services Forest Inventory and Analysis (FIA) Program, generates reliable cost estimates, identifies opportunities and evaluates the effectiveness of fuel treatments in forested landscapes. BioSum is an analytic framework that integrates a suite of widely used computer models with a foundation of attribute-rich,...

  15. The zero inflation of standing dead tree carbon stocks

    Treesearch

    Christopher W. Woodall; David W. MacFarlane

    2012-01-01

    Given the importance of standing dead trees in numerous forest ecosystem attributes/processes such as carbon (C) stocks, the USDA Forest Service’s Forest Inventory and Analysis (FIA) program began consistent nationwide sampling of standing dead trees in 1999. Modeled estimates of standing dead tree C stocks are currently used as the official C stock estimates for the...

  16. A comparison of FIA plot data derived from image pixels and image objects

    Treesearch

    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...

  17. Burial of downed deadwood is strongly affected by log attributes, forest ground vegetation, edaphic conditions, and climate zones

    Treesearch

    Jogeir N. Stokland; Christopher W. Woodall; Jonas Fridman; Göran Ståhl

    2016-01-01

    Deadwood can represent a substantial portion of forest ecosystem carbon stocks and is often reported following good practice guidance associated with national greenhouse gas inventories. In high-latitude forest ecosystems, a substantial proportion of downed deadwood is overgrown by ground vegetation and buried in the humus layer. Such burial obfuscates the important...

  18. Relationships between the attributes of standing live and dead down trees in forests of the Lake States

    Treesearch

    Christopher W. Woodall; Linda Nagel

    2007-01-01

    Refining the understanding of the relationship between a stand's standing live and down dead trees in terms of size, density, and biomass attributes may aid efforts to predict fuel loadings based on standing tree attributes. Therefore, the objective of this study was to compare down dead and standing live tree attributes (size, density, and biomass) for inventory...

  19. FIAMODEL: Users Guide Version 3.0.

    Treesearch

    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.

  20. Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting, generalized additive models, and tree-based methods

    Treesearch

    Gretchen G. Moisen; Elizabeth A. Freeman; Jock A. Blackard; Tracey S. Frescino; Niklaus E. Zimmermann; Thomas C. Edwards

    2006-01-01

    Many efforts are underway to produce broad-scale forest attribute maps by modelling forest class and structure variables collected in forest inventories as functions of satellite-based and biophysical information. Typically, variants of classification and regression trees implemented in Rulequest's© See5 and Cubist (for binary and continuous responses,...

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

    NASA Astrophysics Data System (ADS)

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

    2018-01-01

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

  2. Predicting forested catchment evapotranspiration and streamflow from stand sapwood area and Aridity Index

    NASA Astrophysics Data System (ADS)

    Lane, Patrick

    2016-04-01

    Estimating the water balance of ungauged catchments has been the subject of decades of research. An extension of the fundamental problem of estimating the hydrology is then understanding how do changes in catchment attributes affect the water balance component? This is a particular issue in forest hydrology where vegetation exerts such a strong influence on evapotranspiration (ET), and consequent streamflow (Q). Given the primacy of trees in the water balance, and the potential for change to species and density through logging, fire, pests and diseases and drought, methods that directly relate ET/Q to vegetation structure, species, and stand density are very powerful. Plot studies on tree water use routinely use sapwood area (SA) to calculate transpiration and upscale to the stand/catchment scale. Recent work in south eastern Australian forests have found stand-wide SA to be linearly correlated (R2 = 0.89) with long term mean annual loss (P-Q), and hence, long term mean annual catchment streamflow. Robust relationships can be built between basal area (BA), tree density and stand SA. BA and density are common forest inventory measurements. Until now, no research has related the fundamental stand attribute of SA to streamflow. The data sets include catchments that have been thinned and with varying age classes. Thus far these analyses have been for energy limited systems in wetter forest types. SA has proven to be a more robust biometric than leaf area index which varies seasonally. That long term ET/Q is correlated with vegetation conforms to the Budyko framework. Use of a downscaled (20 m) Aridity Index (AI) has shown distinct correlations with stand SA, and therefore T. Structural patterns at a the hillslope scale not only correlate with SA and T, but also with interception (I) and forest floor evaporation (Es). These correlations between AI and I and Es have given R2 > 0.8. The result of these studies suggest an ability to estimate mean annual ET fluxes at sub hillslope scale using mappable attributes (AI, forest inventory data). Advances in forest inventory techniques, including LiDAR, mean stand attributes can increasingly be mapped over large areas. If combined with process measurements, these mapped attributes provide a powerful platform for simple but robust modelling at the sub-hillslope scale, including exploring hinge points of stand vulnerability to the drier, hotter climate predicted for SE Australia where energy limited systems may face water limitation.

  3. Spatial-temporal models for improved county-level annual estimates

    Treesearch

    Francis Roesch

    2009-01-01

    The consumers of data derived from extensive forest inventories often seek annual estimates at a finer spatial scale than that which the inventory was designed to provide. This paper discusses a few model-based and model-assisted estimators to consider for county level attributes that can be applied when the sample would otherwise be inadequate for producing low-...

  4. Estimating canopy cover from standard forest inventory measurements in western Oregon

    Treesearch

    Anne McIntosh; Andrew Gray; Steven. Garman

    2012-01-01

    Reliable measures of canopy cover are important in the management of public and private forests. However, direct sampling of canopy cover is both labor- and time-intensive. More efficient methods for estimating percent canopy cover could be empirically derived relationships between more readily measured stand attributes and canopy cover or, alternatively, the use of...

  5. Estimating forest attribute parameters for small areas using nearest neighbors techniques

    Treesearch

    Ronald E. McRoberts

    2012-01-01

    Nearest neighbors techniques have become extremely popular, particularly for use with forest inventory data. With these techniques, a population unit prediction is calculated as a linear combination of observations for a selected number of population units in a sample that are most similar, or nearest, in a space of ancillary variables to the population unit requiring...

  6. LIDAR forest inventory with single-tree, double- and single-phase procedures

    Treesearch

    Robert C. Parker; David L. Evans

    2009-01-01

    Light Detection and Ranging (LIDAR) data at 0.5- to 2-m postings were used with doublesample, stratified inventory procedures involving single-tree attribute relationships in mixed, natural, and planted species stands to yield sampling errors (one-half the confidence interval expressed as a percentage of the mean) ranging from ±2.1 percent to ±11.5...

  7. Evidence for environmentally enhanced forest growth

    PubMed Central

    Fang, Jingyun; Kato, Tomomichi; Guo, Zhaodi; Yang, Yuanhe; Hu, Huifeng; Shen, Haihua; Zhao, Xia; Kishimoto-Mo, Ayaka W.; Tang, Yanhong; Houghton, Richard A.

    2014-01-01

    Forests in the middle and high latitudes of the northern hemisphere function as a significant sink for atmospheric carbon dioxide (CO2). This carbon (C) sink has been attributed to two processes: age-related growth after land use change and growth enhancement due to environmental changes, such as elevated CO2, nitrogen deposition, and climate change. However, attribution between these two processes is largely controversial. Here, using a unique time series of an age-class dataset from six national forest inventories in Japan and a new approach developed in this study (i.e., examining changes in biomass density at each age class over the inventory periods), we quantify the growth enhancement due to environmental changes and its contribution to biomass C sink in Japan’s forests. We show that the growth enhancement for four major plantations was 4.0∼7.7 Mg C⋅ha−1 from 1980 to 2005, being 8.4–21.6% of biomass C sequestration per hectare and 4.1–35.5% of the country's total net biomass increase of each forest type. The growth enhancement differs among forest types, age classes, and regions. Our results provide, to our knowledge, the first ground-based evidence that global environmental changes can increase C sequestration in forests on a broad geographic scale and imply that both the traits and age of trees regulate the responses of forest growth to environmental changes. These findings should be incorporated into the prediction of forest C cycling under a changing climate. PMID:24979781

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

    NASA Astrophysics Data System (ADS)

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

    2016-12-01

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

  9. Users guide to the Most Similar Neighbor Imputation Program Version 2

    Treesearch

    Nicholas L. Crookston; Melinda Moeur; David Renner

    2002-01-01

    The Most Similar Neighbor (MSN, Moeur and Stage 1995) program is used to impute attributes measured on some sample units to sample units where they are not measured. In forestry applications, forest stands or vegetation polygons are examples of sample units. Attributes from detailed vegetation inventories are imputed to sample units where that information is not...

  10. Drought as a driver of declining boreal forest growth: Integrating forest inventory measurements with models to gain insight into underlying mechanisms

    NASA Astrophysics Data System (ADS)

    Trugman, A. T.; Medvigy, D.; Anderegg, W.; Caspersen, J.; Zeng, H.; Pacala, S. W.

    2016-12-01

    Boreal forests contain over 30% of Earth's terrestrial carbon and are an important component of the land carbon sink. However, the future ability of the boreal forest to maintain a net carbon sink is uncertain and depends on potentially compensating interactions of CO2 fertilization, warmer temperatures, and hotter drought conditions. Observational studies have attributed drought as a major driver of recent declines in growth and increases in mortality in many parts of the North American boreal forest. Yet, most vegetation models have a simplistic representation of vegetation water stress and fail to capture drought-associated growth and mortality trends, impacting our ability to accurately forecast the effects of climate change on the boreal forest. Here, we show additional evidence for widespread declines in boreal tree growth and increasing insect-related mortality in aspen trees based on a mixed model analysis of the Cooperative Alaska Forest Inventory. Our findings indicate that the growth decline is controlled by high midsummer potential evapotranspiration that overpowers any CO2 fertilization signal. We also observe a possible shift in the distribution of angiosperm and gymnosperm, a biological transition that could impact long-term local carbon dynamics. Using insight gained from our mixed model analysis, we perform a regional-scale model evaluation using the boreal forest version of Ecosystem Demography model 2 that includes a dynamic soil organic layer, 7 boreal-specific plant functional types, and a fully mechanistic plant hydraulic scheme. We then use both the Alaskan and Canadian Forest Inventories to constrain our hypotheses and assess whether drought related growth declines can be better attributed to tree drought response from (1) carbon starvation, (2) permanent damage of hydraulic machinery, or (3) delayed recovery of hydraulic machinery. Under each of these scenarios we forecast how drought potentially impacts decadal-scale boreal carbon dynamics.

  11. Updating stand-level forest inventories using airborne laser scanning and Landsat time series data

    NASA Astrophysics Data System (ADS)

    Bolton, Douglas K.; White, Joanne C.; Wulder, Michael A.; Coops, Nicholas C.; Hermosilla, Txomin; Yuan, Xiaoping

    2018-04-01

    Vertical forest structure can be mapped over large areas by combining samples of airborne laser scanning (ALS) data with wall-to-wall spatial data, such as Landsat imagery. Here, we use samples of ALS data and Landsat time-series metrics to produce estimates of top height, basal area, and net stem volume for two timber supply areas near Kamloops, British Columbia, Canada, using an imputation approach. Both single-year and time series metrics were calculated from annual, gap-free Landsat reflectance composites representing 1984-2014. Metrics included long-term means of vegetation indices, as well as measures of the variance and slope of the indices through time. Terrain metrics, generated from a 30 m digital elevation model, were also included as predictors. We found that imputation models improved with the inclusion of Landsat time series metrics when compared to single-year Landsat metrics (relative RMSE decreased from 22.8% to 16.5% for top height, from 32.1% to 23.3% for basal area, and from 45.6% to 34.1% for net stem volume). Landsat metrics that characterized 30-years of stand history resulted in more accurate models (for all three structural attributes) than Landsat metrics that characterized only the most recent 10 or 20 years of stand history. To test model transferability, we compared imputed attributes against ALS-based estimates in nearby forest blocks (>150,000 ha) that were not included in model training or testing. Landsat-imputed attributes correlated strongly to ALS-based estimates in these blocks (R2 = 0.62 and relative RMSE = 13.1% for top height, R2 = 0.75 and relative RMSE = 17.8% for basal area, and R2 = 0.67 and relative RMSE = 26.5% for net stem volume), indicating model transferability. These findings suggest that in areas containing spatially-limited ALS data acquisitions, imputation models, and Landsat time series and terrain metrics can be effectively used to produce wall-to-wall estimates of key inventory attributes, providing an opportunity to update estimates of forest attributes in areas where inventory information is either out of date or non-existent.

  12. Relating FIA data to habitat classifications via tree-based models of canopy cover

    Treesearch

    Mark D. Nelson; Brian G. Tavernia; Chris Toney; Brian F. Walters

    2012-01-01

    Wildlife species-habitat matrices are used to relate lists of species with abundance of their habitats. The Forest Inventory and Analysis Program provides data on forest composition and structure, but these attributes may not correspond directly with definitions of wildlife habitats. We used FIA tree data and tree crown diameter models to estimate canopy cover, from...

  13. Inventory-based estimates of forest biomass carbon stocks in China: A comparison of three methods

    Treesearch

    Zhaodi Guo; Jingyun Fang; Yude Pan; Richard Birdsey

    2010-01-01

    Several studies have reported different estimates for forest biomass carbon (C) stocks in China. The discrepancy among these estimates may be largely attributed to the methods used. In this study, we used three methods [mean biomass density method (MBM), mean ratio method (MRM), and continuous biomass expansion factor (BEF) method (abbreviated as CBM)] applied to...

  14. Using small area estimation and Lidar-derived variables for multivariate prediction of forest attributes

    Treesearch

    F. Mauro; Vicente Monleon; H. Temesgen

    2015-01-01

    Small area estimation (SAE) techniques have been successfully applied in forest inventories to provide reliable estimates for domains where the sample size is small (i.e. small areas). Previous studies have explored the use of either Area Level or Unit Level Empirical Best Linear Unbiased Predictors (EBLUPs) in a univariate framework, modeling each variable of interest...

  15. Estimation of soil organic carbon in forests of the United States

    NASA Astrophysics Data System (ADS)

    Domke, G. M.; Perry, C. H.; Walters, B. F.; Woodall, C. W.; Nave, L. E.; Swanston, C.

    2015-12-01

    Soil organic carbon (SOC) is the largest terrestrial carbon (C) sink on earth and management of this pool is a critical component of global efforts to mitigate atmospheric C concentrations. Soil organic carbon is also a key indicator of soil quality as it affects essential biological, chemical, and physical soil functions such as nutrient cycling, water retention, and soil structure maintenance. Much of the SOC on earth is found in forest ecosystems and is thought to be relatively stable. That said, there is growing evidence that SOC may be sensitive to disturbance and global change drivers. In the United States (US), SOC in forests is monitored by the national forest inventory (NFI) conducted by the Forest Inventory and Analysis (FIA) program within the US Department of Agriculture, Forest Service. The FIA program currently uses SOC predictions based on SSURGO/STATSGO data to populate the NFI. Most of estimates of SOC in forests from the SSURGO/STATSGO data are based primarily upon expert opinion and lack systematic field observations. The FIA program has been consistently measuring soil attributes as part of the NFI since 2001 and has amassed an extensive inventory of SOC in forests in the conterminous US and coastal Alaska. Here we present estimates of SOC obtained using data from the NFI and International Soil Carbon Network and describe the modeling framework used to compile estimates for United Nations Framework Convention on Climate Change reporting.

  16. Forest Tree Species Distribution Mapping Using Landsat Satellite Imagery and Topographic Variables with the Maximum Entropy Method in Mongolia

    NASA Astrophysics Data System (ADS)

    Hao Chiang, Shou; Valdez, Miguel; Chen, Chi-Farn

    2016-06-01

    Forest is a very important ecosystem and natural resource for living things. Based on forest inventories, government is able to make decisions to converse, improve and manage forests in a sustainable way. Field work for forestry investigation is difficult and time consuming, because it needs intensive physical labor and the costs are high, especially surveying in remote mountainous regions. A reliable forest inventory can give us a more accurate and timely information to develop new and efficient approaches of forest management. The remote sensing technology has been recently used for forest investigation at a large scale. To produce an informative forest inventory, forest attributes, including tree species are unavoidably required to be considered. In this study the aim is to classify forest tree species in Erdenebulgan County, Huwsgul province in Mongolia, using Maximum Entropy method. The study area is covered by a dense forest which is almost 70% of total territorial extension of Erdenebulgan County and is located in a high mountain region in northern Mongolia. For this study, Landsat satellite imagery and a Digital Elevation Model (DEM) were acquired to perform tree species mapping. The forest tree species inventory map was collected from the Forest Division of the Mongolian Ministry of Nature and Environment as training data and also used as ground truth to perform the accuracy assessment of the tree species classification. Landsat images and DEM were processed for maximum entropy modeling, and this study applied the model with two experiments. The first one is to use Landsat surface reflectance for tree species classification; and the second experiment incorporates terrain variables in addition to the Landsat surface reflectance to perform the tree species classification. All experimental results were compared with the tree species inventory to assess the classification accuracy. Results show that the second one which uses Landsat surface reflectance coupled with terrain variables produced better result, with the higher overall accuracy and kappa coefficient than first experiment. The results indicate that the Maximum Entropy method is an applicable, and to classify tree species using satellite imagery data coupled with terrain information can improve the classification of tree species in the study area.

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

    PubMed

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

    2014-08-01

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

  18. Forest inventory predictions from individual tree crowns: regression modeling within a sample framework

    Treesearch

    James W. Flewelling

    2009-01-01

    Remotely sensed data can be used to make digital maps showing individual tree crowns (ITC) for entire forests. Attributes of the ITCs may include area, shape, height, and color. The crown map is sampled in a way that provides an unbiased linkage between ITCs and identifiable trees measured on the ground. Methods of avoiding edge bias are given. In an example from a...

  19. [Estimation of vegetation carbon storage and density of forests at tree layer in Tibet, China.

    PubMed

    Liu, Shu Qin; Xia, Chao Zong; Feng, Wei; Zhang, Ke Bin; Ma, Li; Liu, Jian Kang

    2017-10-01

    The estimation of vegetation carbon storage and density of forests at tree layer in Tibet Autonomous Region was calculated based on the eighth forest inventory data using the biomass inventory method, as well as other attributes like tree trunk density and carbon content of different species. The results showed that the total carbon storage at tree layer in Tibet forest ecosystem was 1.067×10 9 t and the average carbon density was 72.49 t·hm -2 . The carbon storage at tree layer of different stands was in the order of arbor forest > scattered wood > sparse forest > alluvial tree. The carbon storage of different forest types at tree layer were in the order of shelterbelt > special purpose forest > timber forest > firewood forest. The proportion of the first mentioned two was 88.5%, and the average carbon density of different forest types at tree layer was 88.09 t·hm -2 . The carbon sto-rage and its distribution area at tree layer in different forest groups were in the same order, followed by mature forest > over mature forest > near mature forest > middle aged forest > young forest. The carbon storage in mature forests accounted for 50% of the total carbon storage at tree layer in diffe-rent forest groups. The carbon storage at tree layer in different forest groups increased first and then decreased with the increase of stand ages.

  20. 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.

  1. Image matching as a data source for forest inventory - Comparison of Semi-Global Matching and Next-Generation Automatic Terrain Extraction algorithms in a typical managed boreal forest environment

    NASA Astrophysics Data System (ADS)

    Kukkonen, M.; Maltamo, M.; Packalen, P.

    2017-08-01

    Image matching is emerging as a compelling alternative to airborne laser scanning (ALS) as a data source for forest inventory and management. There is currently an open discussion in the forest inventory community about whether, and to what extent, the new method can be applied to practical inventory campaigns. This paper aims to contribute to this discussion by comparing two different image matching algorithms (Semi-Global Matching [SGM] and Next-Generation Automatic Terrain Extraction [NGATE]) and ALS in a typical managed boreal forest environment in southern Finland. Spectral features from unrectified aerial images were included in the modeling and the potential of image matching in areas without a high resolution digital terrain model (DTM) was also explored. Plot level predictions for total volume, stem number, basal area, height of basal area median tree and diameter of basal area median tree were modeled using an area-based approach. Plot level dominant tree species were predicted using a random forest algorithm, also using an area-based approach. The statistical difference between the error rates from different datasets was evaluated using a bootstrap method. Results showed that ALS outperformed image matching with every forest attribute, even when a high resolution DTM was used for height normalization and spectral information from images was included. Dominant tree species classification with image matching achieved accuracy levels similar to ALS regardless of the resolution of the DTM when spectral metrics were used. Neither of the image matching algorithms consistently outperformed the other, but there were noticeably different error rates depending on the parameter configuration, spectral band, resolution of DTM, or response variable. This study showed that image matching provides reasonable point cloud data for forest inventory purposes, especially when a high resolution DTM is available and information from the understory is redundant.

  2. Quantitative ethnobotany in an atlantic forest fragment of northeastern Brazil: implications to conservation.

    PubMed

    Da Cunha, Luiz Vital F Cruz; De Albuquerque, Ulysses P

    2006-03-01

    An ethnobotanical study was executed in the rural community of the Municipality of "Rio Formoso", starting from the forest inventory accomplished in an Atlantic Forest remnant adjacent to the studied community. Using the methodology of quantitative ethnobotany allied to the ecological parameters (richness, relative frequency, relative density, relative dominance and importance value index) the following results were obtained: 42 inventoried species gathered in 26 families, presented from 1 to 27 means of use for the community. The largest use of the plants is related to obtaining wood in order to be used in house building, firewood production and charcoal. The largest use value was attributed to the Vouacapoua virgilioides (Kunth) Kuntze. The most frequent species were Tapirira guianensis Aubl. (Anacardiaceae), Thyrsodium schomburgkianum Benth. (Anacardiaceae), Schefflera morototoni (Aubl.) Maguire, Steyem. & Frodin (Araliaceae) and Dialium guianense (Aubl.) Sandwith. (Leg-Caesalpinioideae).

  3. Attribution of Net Carbon Change by Disturbance Type across Forest Lands of the Continental United States

    NASA Astrophysics Data System (ADS)

    Hagen, S. C.; Harris, N.; Saatchi, S. S.; Domke, G. M.; Woodall, C. W.; Pearson, T.

    2016-12-01

    We generated spatially comprehensive maps of carbon stocks and net carbon changes from US forestlands between 2005 and 2010 and attributed the changes to natural and anthropogenic processes. The prototype system created to produce these maps is designed to assist with national GHG inventories and support decisions associated with land management. Here, we present the results and methodological framework of our analysis. In summary, combining estimates of net C losses and gains results in net carbon change of 269±49 Tg C yr-1 (sink) in the coterminous US forest land, with carbon loss from harvest acting as the predominent source process.

  4. Harmonic regression of Landsat time series for modeling attributes from national forest inventory data

    Treesearch

    Barry T. Wilson; Joseph F. Knight; Ronald E. McRoberts

    2018-01-01

    Imagery from the Landsat Program has been used frequently as a source of auxiliary data for modeling land cover, as well as a variety of attributes associated with tree cover. With ready access to all scenes in the archive since 2008 due to the USGS Landsat Data Policy, new approaches to deriving such auxiliary data from dense Landsat time series are required. Several...

  5. Comparison of global inventories of CO2 emissions from biomass burning during 2002-2011 derived from multiple satellite products.

    PubMed

    Shi, Yusheng; Matsunaga, Tsuneo; Saito, Makoto; Yamaguchi, Yasushi; Chen, Xuehong

    2015-11-01

    This study compared five widely used globally gridded biomass burning emissions inventories for the 2002-2011 period (Global Fire Emissions Database 3 (GFED3), Global Fire Emissions Database 4 (GFED4), Global Fire Assimilation System 1.0 (GFAS1.0), Fire INventory from NCAR 1.0 (FINN1.0) and Global Inventory for Chemistry-Climate studies-GFED4 (G-G)). Average annual CO2 emissions range from 6521.3 to 9661.5 Tg year(-1) for five inventories, with extensive amounts in Africa, South America and Southeast Asia. Coefficient of Variation for Southern America, Northern and Southern Africa are 30%, 39% and 48%. Globally, the majority of CO2 emissions are released from savanna burnings, followed by forest and cropland burnings. The largest differences among the five inventories are mainly attributable to the overestimation of CO2 emissions by FINN1.0 in Southeast Asia savanna and cropland burning, and underestimation in Southern Africa savanna and Amazon forest burning. The overestimation in Africa by G-G also contributes to the differences. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

  6. Estimating Stand Height and Tree Density in Pinus taeda plantations using in-situ data, airborne LiDAR and k-Nearest Neighbor Imputation.

    PubMed

    Silva, Carlos Alberto; Klauberg, Carine; Hudak, Andrew T; Vierling, Lee A; Liesenberg, Veraldo; Bernett, Luiz G; Scheraiber, Clewerson F; Schoeninger, Emerson R

    2018-01-01

    Accurate forest inventory is of great economic importance to optimize the entire supply chain management in pulp and paper companies. The aim of this study was to estimate stand dominate and mean heights (HD and HM) and tree density (TD) of Pinus taeda plantations located in South Brazil using in-situ measurements, airborne Light Detection and Ranging (LiDAR) data and the non- k-nearest neighbor (k-NN) imputation. Forest inventory attributes and LiDAR derived metrics were calculated at 53 regular sample plots and we used imputation models to retrieve the forest attributes at plot and landscape-levels. The best LiDAR-derived metrics to predict HD, HM and TD were H99TH, HSD, SKE and HMIN. The Imputation model using the selected metrics was more effective for retrieving height than tree density. The model coefficients of determination (adj.R2) and a root mean squared difference (RMSD) for HD, HM and TD were 0.90, 0.94, 0.38m and 6.99, 5.70, 12.92%, respectively. Our results show that LiDAR and k-NN imputation can be used to predict stand heights with high accuracy in Pinus taeda. However, furthers studies need to be realized to improve the accuracy prediction of TD and to evaluate and compare the cost of acquisition and processing of LiDAR data against the conventional inventory procedures.

  7. Accelerating forest growth enhancement due to climate and atmospheric changes in British Colombia, Canada over 1956-2001.

    PubMed

    Wu, Chaoyang; Hember, Robbie A; Chen, Jing M; Kurz, Werner A; Price, David T; Boisvenue, Céline; Gonsamo, Alemu; Ju, Weimin

    2014-03-25

    Changes in climate and atmospheric CO2 and nitrogen (N) over the last several decades have induced significant effects on forest carbon (C) cycling. However, contributions of individual factors are largely unknown because of the lack of long observational data and the undifferentiating between intrinsic factors and external forces in current ecosystem models. Using over four decades (1956-2001) of forest inventory data at 3432 permanent samples in maritime and boreal regions of British Columbia (B.C.), Canada, growth enhancements were reconstructed and partitioned into contributions of climate, CO2 and N after removal of age effects. We found that climate change contributed a particularly large amount (over 70%) of the accumulated growth enhancement, while the remaining was attributed to CO2 and N, respectively. We suggest that climate warming is contributing a widespread growth enhancement in B.C.'s forests, but ecosystem models should consider CO2 and N fertilization effects to fully explain inventory-based observations.

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

    Treesearch

    J. D. Shaw

    2006-01-01

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

  9. Assessing land ownership as a driver of change in the distribution, structure, and composition of California's forests.

    NASA Astrophysics Data System (ADS)

    Easterday, K.; Kelly, M.; McIntyre, P. J.

    2015-12-01

    Climate change is forecasted to have considerable influence on the distribution, structure, and function of California's forests. However, human interactions with forested landscapes (e.g. fire suppression, resource extraction and etc.) have complicated scientific understanding of the relative contributions of climate change and anthropogenic land management practices as drivers of change. Observed changes in forest structure towards smaller, denser forests across California have been attributed to both climate change (e.g. increased temperatures and declining water availability) and management practices (e.g. fire suppression and logging). Disentangling how these drivers of change act both together and apart is important to developing sustainable policy and land management practices as well as enhancing knowledge of human and natural system interactions. To that end, a comprehensive historical dataset - the Vegetation Type Mapping project (VTM) - and a modern forest inventory dataset (FIA) are used to analyze how spatial variations in vegetation composition and structure over a ~100 year period can be explained by land ownership.Climate change is forecasted to have considerable influence on the distribution, structure, and function of California's forests. However, human interactions with forested landscapes (e.g. fire suppression, resource extraction and etc.) have complicated scientific understanding of the relative contributions of climate change and anthropogenic land management practices as drivers of change. Observed changes in forest structure towards smaller, denser forests across California have been attributed to both climate change (e.g. increased temperatures and declining water availability) and management practices (e.g. fire suppression and logging). Disentangling how these drivers of change act both together and apart is important to developing sustainable policy and land management practices as well as enhancing knowledge of human and natural system interactions. To that end, a comprehensive historical dataset - the Vegetation Type Mapping project (VTM) - and a modern forest inventory dataset (FIA) are used to analyze how spatial variations in vegetation composition and structure over a ~100 year period can be explained by land ownership.

  10. Imputation of individual longleaf pine (Pinus palustris Mill.) tree attributes from field and LiDAR data

    Treesearch

    Carlos A. Silva; Andrew T. Hudak; Lee A. Vierling; E. Louise Loudermilk; Joseph J. O' Brien; J. Kevin Hiers; Steve B. Jack; Carlos Gonzalez-Benecke; Heezin Lee; Michael J. Falkowski; Anahita Khosravipour

    2016-01-01

    Light Detection and Ranging (LiDAR) has demonstrated potential for forest inventory at the individual-tree level. The aim in this study was to predict individual-tree height (Ht; m), basal area (BA; m2), and stem volume (V; m3...

  11. Forest resources of the Tonto National Forest

    Treesearch

    John D. Shaw

    2004-01-01

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

  12. Forest resources of the Lincoln National Forest

    Treesearch

    John D. Shaw

    2006-01-01

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

  13. Forest resources of the Gila National Forest

    Treesearch

    John D. Shaw

    2008-01-01

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

  14. Forest resources of the Clearwater National Forest

    Treesearch

    Ryan P. Hughes

    2011-01-01

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

  15. Forest resources of the Medicine Bow National Forest

    Treesearch

    Jim Steed

    2008-01-01

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

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

    Treesearch

    Yasumasa Hirata; Mitsuo Matsumoto; Toshiro Iehara

    2009-01-01

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

  17. Forest resources of the Idaho Panhandle National Forest

    Treesearch

    Joshua C. Holte

    2012-01-01

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

  18. Forest resources of the Black Hills National Forest

    Treesearch

    Larry T. DeBlander

    2002-01-01

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

  19. Forest resources of the Nez Perce National Forest

    Treesearch

    Michele Disney

    2010-01-01

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

  20. Forest resources of the Shoshone National Forest

    Treesearch

    James Menlove

    2008-01-01

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

  1. Differences in Computed Individual-Tree Volumes Caused by Differences in Field Measurements

    Treesearch

    James A. Westfall

    2008-01-01

    Individual-tree volumes are primarily predicted using volume equations that rely on measured tree attributes. In the northeastern United States, the Forest Inventory and Analysis program determines tree volume using dbh, bole height, proportion of cull, and species information. These measurements are subject to variability due to a host of factors. The sensitivity of...

  2. Controlling coarse woody debris inventory quality: taper and relative size methods

    Treesearch

    C.W. Woodall; J.A. Westfall

    2008-01-01

    Accurately measuring the dimensions of coarse woody debris (CWD) is critical for ensuring the quality of CWD estimates and, hence, for accurately estimating forest ecosystem attributes (e.g., CWD carbon stocks). To improve the quality of CWD dimensional measurements, the distribution of taper (ratio of change in diameter and length) and relative size (RS; ratio of...

  3. Model-based mean square error estimators for k-nearest neighbour predictions and applications using remotely sensed data for forest inventories

    Treesearch

    Steen Magnussen; Ronald E. McRoberts; Erkki O. Tomppo

    2009-01-01

    New model-based estimators of the uncertainty of pixel-level and areal k-nearest neighbour (knn) predictions of attribute Y from remotely-sensed ancillary data X are presented. Non-parametric functions predict Y from scalar 'Single Index Model' transformations of X. Variance functions generated...

  4. Historical and contemporary environmental context for the Saline-Fifteen site (3BR119)

    Treesearch

    Don C. Bragg; Hope A. Bragg

    2016-01-01

    This paper summarizes the historical environmental context of the Saline-Fifteen site (3BR119) in Bradley County, Arkansas, developed from the General Land Office (GLO) public land surveys, other old documents, and an examination of current forest inventories and modern research to approximate past environmental attributes for this locality. While an imperfect source...

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

    Treesearch

    Mark D. Nelson; W. Keith Moser

    2007-01-01

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

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

    Treesearch

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

    2012-01-01

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

  7. Missouri's forest resources in 1999

    Treesearch

    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.

  8. Iowa's Forest Resources in 1999

    Treesearch

    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.

  9. Indiana's Forest Resource in 1999

    Treesearch

    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.

  10. Minnesota's forest resources in 1999

    Treesearch

    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.

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

    Treesearch

    J.A. Westfall; C.W. Woodall

    2007-01-01

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

  12. A New Annual Forest Inventory System for the South

    Treesearch

    Noel D. Cost

    1999-01-01

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

  13. Base-age invariance and inventory projections

    Treesearch

    C. J. Cieszewski; R. L. Bailey; B. E. Borders; G. H. Brister; B. D. Shiver

    2000-01-01

    One of the most important functions of forest inventory is to facilitate management decisions towards forest sustainability based on inventory projections into the future. Therefore, most forest inventories are used for predicting future states of the forests, in modern forestry the most common methods used in inventory projections are based on implicit functions...

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

    Treesearch

    Willem W.S. van Hees

    2001-01-01

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

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

    Treesearch

    Willem W.S. van Hees

    2001-01-01

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

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

    Treesearch

    Willem W.S. van Hees

    2001-01-01

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

  17. Assessing timber availability in upland Hardwood Forests

    Treesearch

    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...

  18. From Models to Measurements: Comparing Downed Dead Wood Carbon Stock Estimates in the U.S. Forest Inventory

    PubMed Central

    Domke, Grant M.; Woodall, Christopher W.; Walters, Brian F.; Smith, James E.

    2013-01-01

    The inventory and monitoring of coarse woody debris (CWD) carbon (C) stocks is an essential component of any comprehensive National Greenhouse Gas Inventory (NGHGI). Due to the expense and difficulty associated with conducting field inventories of CWD pools, CWD C stocks are often modeled as a function of more commonly measured stand attributes such as live tree C density. In order to assess potential benefits of adopting a field-based inventory of CWD C stocks in lieu of the current model-based approach, a national inventory of downed dead wood C across the U.S. was compared to estimates calculated from models associated with the U.S.’s NGHGI and used in the USDA Forest Service, Forest Inventory and Analysis program. The model-based population estimate of C stocks for CWD (i.e., pieces and slash piles) in the conterminous U.S. was 9 percent (145.1 Tg) greater than the field-based estimate. The relatively small absolute difference was driven by contrasting results for each CWD component. The model-based population estimate of C stocks from CWD pieces was 17 percent (230.3 Tg) greater than the field-based estimate, while the model-based estimate of C stocks from CWD slash piles was 27 percent (85.2 Tg) smaller than the field-based estimate. In general, models overestimated the C density per-unit-area from slash piles early in stand development and underestimated the C density from CWD pieces in young stands. This resulted in significant differences in CWD C stocks by region and ownership. The disparity in estimates across spatial scales illustrates the complexity in estimating CWD C in a NGHGI. Based on the results of this study, it is suggested that the U.S. adopt field-based estimates of CWD C stocks as a component of its NGHGI to both reduce the uncertainty within the inventory and improve the sensitivity to potential management and climate change events. PMID:23544112

  19. From models to measurements: comparing downed dead wood carbon stock estimates in the U.S. forest inventory.

    PubMed

    Domke, Grant M; Woodall, Christopher W; Walters, Brian F; Smith, James E

    2013-01-01

    The inventory and monitoring of coarse woody debris (CWD) carbon (C) stocks is an essential component of any comprehensive National Greenhouse Gas Inventory (NGHGI). Due to the expense and difficulty associated with conducting field inventories of CWD pools, CWD C stocks are often modeled as a function of more commonly measured stand attributes such as live tree C density. In order to assess potential benefits of adopting a field-based inventory of CWD C stocks in lieu of the current model-based approach, a national inventory of downed dead wood C across the U.S. was compared to estimates calculated from models associated with the U.S.'s NGHGI and used in the USDA Forest Service, Forest Inventory and Analysis program. The model-based population estimate of C stocks for CWD (i.e., pieces and slash piles) in the conterminous U.S. was 9 percent (145.1 Tg) greater than the field-based estimate. The relatively small absolute difference was driven by contrasting results for each CWD component. The model-based population estimate of C stocks from CWD pieces was 17 percent (230.3 Tg) greater than the field-based estimate, while the model-based estimate of C stocks from CWD slash piles was 27 percent (85.2 Tg) smaller than the field-based estimate. In general, models overestimated the C density per-unit-area from slash piles early in stand development and underestimated the C density from CWD pieces in young stands. This resulted in significant differences in CWD C stocks by region and ownership. The disparity in estimates across spatial scales illustrates the complexity in estimating CWD C in a NGHGI. Based on the results of this study, it is suggested that the U.S. adopt field-based estimates of CWD C stocks as a component of its NGHGI to both reduce the uncertainty within the inventory and improve the sensitivity to potential management and climate change events.

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

    Treesearch

    Paul Rogers

    2008-01-01

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

  1. Forest resources of the Prescott National Forest

    Treesearch

    Paul Rogers

    2003-01-01

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

  2. Structural attributes of two old-growth Cross Timbers stands in western Arkansas

    Treesearch

    Don C. Bragg; David W. Stahle; K. Chris Cerny

    2012-01-01

    Comprised of largely non-commercial, xeric, oak-dominated forests, the Cross Timbers in Arkansas have been heavily altered over the last two centuries, and thus only scattered parcels of old-growth timber remain. We inventoried and mapped two such stands on Fort Chaffee Military Training Center in Sebastian County, Arkansas. The west-facing Christmas Knob site is...

  3. Long-term monitoring of high-elevation white pine communities in Pacific West Region National Parks

    Treesearch

    Shawn T. McKinney; Tom Rodhouse; Les Chow; Penelope Latham; Daniel Sarr; Lisa Garrett; Linda Mutch

    2011-01-01

    National Park Service Inventory and Monitoring (I&M) networks conduct long-term monitoring to provide park managers information on the status and trends in key biological and environmental attributes (Vital Signs). Here we present an overview of a collaborative approach to long-term monitoring of high-elevation white pine forest dynamics among three Pacific West...

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

    PubMed

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

    2009-10-01

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

  5. Forest resources of the Santa Fe National Forest

    Treesearch

    Dana Lambert

    2004-01-01

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

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

    Treesearch

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

    2002-01-01

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

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

    Treesearch

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

    2010-01-01

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

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

    Treesearch

    David C. Chojnacky; Linda S. Heath

    2002-01-01

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

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

    Treesearch

    David C. Chojnacky; Linda S. Heath

    2002-01-01

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

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

    Treesearch

    John F. Kelly

    1990-01-01

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

  11. Harmonic regression of Landsat time series for modeling attributes from national forest inventory data

    NASA Astrophysics Data System (ADS)

    Wilson, Barry T.; Knight, Joseph F.; McRoberts, Ronald E.

    2018-03-01

    Imagery from the Landsat Program has been used frequently as a source of auxiliary data for modeling land cover, as well as a variety of attributes associated with tree cover. With ready access to all scenes in the archive since 2008 due to the USGS Landsat Data Policy, new approaches to deriving such auxiliary data from dense Landsat time series are required. Several methods have previously been developed for use with finer temporal resolution imagery (e.g. AVHRR and MODIS), including image compositing and harmonic regression using Fourier series. The manuscript presents a study, using Minnesota, USA during the years 2009-2013 as the study area and timeframe. The study examined the relative predictive power of land cover models, in particular those related to tree cover, using predictor variables based solely on composite imagery versus those using estimated harmonic regression coefficients. The study used two common non-parametric modeling approaches (i.e. k-nearest neighbors and random forests) for fitting classification and regression models of multiple attributes measured on USFS Forest Inventory and Analysis plots using all available Landsat imagery for the study area and timeframe. The estimated Fourier coefficients developed by harmonic regression of tasseled cap transformation time series data were shown to be correlated with land cover, including tree cover. Regression models using estimated Fourier coefficients as predictor variables showed a two- to threefold increase in explained variance for a small set of continuous response variables, relative to comparable models using monthly image composites. Similarly, the overall accuracies of classification models using the estimated Fourier coefficients were approximately 10-20 percentage points higher than the models using the image composites, with corresponding individual class accuracies between six and 45 percentage points higher.

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

    Treesearch

    Mark H. Hansen; Daniel G. Wendt

    2000-01-01

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

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

    Treesearch

    Mark H. Hansen; Daniel G. Wendt

    2000-01-01

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

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

    Treesearch

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

    2004-01-01

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

  15. Michigan's Forest Resource in 2000.

    Treesearch

    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.

  16. Wisconsin's forest resources in 2000.

    Treesearch

    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.

  17. Nebraska's forest resources in 2001

    Treesearch

    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.

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

    Treesearch

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

    2003-01-01

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

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

    Treesearch

    Michael T. Thompson

    2017-01-01

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

  20. Forest Resource Information System (FRIS)

    NASA Technical Reports Server (NTRS)

    1983-01-01

    The technological and economical feasibility of using multispectral digital image data as acquired from the LANDSAT satellites in an ongoing operational forest information system was evaluated. Computer compatible multispectral scanner data secured from the LANDSAT satellites were demonstrated to be a significant contributor to ongoing information systems by providing the added dimensions of synoptic and repeat coverage of the Earth's surface. Major forest cover types of conifer, deciduous, mixed conifer-deciduous and non-forest, were classified well within the bounds of the statistical accuracy of the ground sample. Further, when overlayed with existing maps, the acreage of cover type retains a high level of positional integrity. Maps were digitized by a graphics design system, overlayed and registered onto LANDSAT imagery such that the map data with associated attributes were displayed on the image. Once classified, the analysis results were converted back to map form as a cover type of information. Existing tabular information as represented by inventory is registered geographically to the map base through a vendor provided data management system. The notion of a geographical reference base (map) providing the framework to which imagery and tabular data bases are registered and where each of the three functions of imagery, maps and inventory can be accessed singly or in combination is the very essence of the forest resource information system design.

  1. Forest resources of the Bighorn National Forest

    Treesearch

    Christopher Witt

    2008-01-01

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

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

    Treesearch

    Christopher W. Woodall

    2003-01-01

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

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

    Treesearch

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

    1990-01-01

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

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

    Treesearch

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

    2009-01-01

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

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

    Treesearch

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

    2005-01-01

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

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

    Treesearch

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

    2007-01-01

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

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

    Treesearch

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

    2006-01-01

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

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

    Treesearch

    Jeremy S. Fried; Xiaoping Zhou

    2008-01-01

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

  9. Estimates of downed woody debris decay class transitions for forests across the eastern United States

    Treesearch

    Matthew B. Russell; Christopher W. Woodall; Shawn Fraver; Anthony W. D' Amato

    2013-01-01

    Large-scale inventories of downed woody debris (DWD; downed dead wood of a minimum size) often record decay status by assigning pieces to classes of decay according to their visual/structural attributes (e.g., presence of branches, log shape, and texture and color of wood). DWD decay classes are not only essential for estimating current DWD biomass and carbon stocks,...

  10. End-point diameter and total length coarse woody debris models for the United States

    Treesearch

    C.W. Woodall; J.A. Westfall; D.C. Lutes; S.N. Oswalt

    2008-01-01

    Coarse woody debris (CWD) may be defined as dead and down trees of a certain minimumsize that are an important forest ecosystem component (e.g., wildlife habitat, carbon stocks, and fuels). Due to field efficiency concerns, some natural resource inventories only measure the attributes of CWD pieces at their point of intersection with a sampling transect (e.g., transect...

  11. Forests of Michigan, 2013

    Treesearch

    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...

  12. Forests of Vermont, 2013

    Treesearch

    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...

  13. Forests of New Hampshire, 2013

    Treesearch

    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...

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

    Treesearch

    Francis A. Roesch; Paul C. Van Deusen

    2010-01-01

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

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

    Treesearch

    A. Y. Omule; Mark D. Gillis

    2005-01-01

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

  16. Wisconsin's fourth forest inventory: area.

    Treesearch

    W. Brad Smith

    1986-01-01

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

  17. The fourth Minnesota forest inventory: area.

    Treesearch

    Pamela J. Jakes

    1980-01-01

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

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

    Treesearch

    Sara A. Goeking; Greg C. Liknes

    2009-01-01

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

  19. North Dakota's forest resources in 2005

    Treesearch

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

    2006-01-01

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

  20. Estimating forest conversion rates with annual forest inventory data

    Treesearch

    Paul C. Van Deusen; Francis A. Roesch

    2009-01-01

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

  1. Michigan's Fourth Forest Inventory: Area.

    Treesearch

    John S. Jr. Spencer

    1983-01-01

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

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

    Treesearch

    Dumitru Salajanu; Dennis M. Jacobs

    2006-01-01

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

  3. Forests of Kansas, 2016

    Treesearch

    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,...

  4. Forests of Kansas, 2015

    Treesearch

    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,...

  5. Forests of Vermont, 2014

    Treesearch

    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,...

  6. Forests of Nebraska, 2017

    Treesearch

    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 2001–2013, the sample length was equal to 5 years. Beginning in 2014, the cycle length was changed to 7 years. For the 2017 inventory...

  7. Regression tree modeling of forest NPP using site conditions and climate variables across eastern USA

    NASA Astrophysics Data System (ADS)

    Kwon, Y.

    2013-12-01

    As evidence of global warming continue to increase, being able to predict forest response to climate changes, such as expected rise of temperature and precipitation, will be vital for maintaining the sustainability and productivity of forests. To map forest species redistribution by climate change scenario has been successful, however, most species redistribution maps lack mechanistic understanding to explain why trees grow under the novel conditions of chaining climate. Distributional map is only capable of predicting under the equilibrium assumption that the communities would exist following a prolonged period under the new climate. In this context, forest NPP as a surrogate for growth rate, the most important facet that determines stand dynamics, can lead to valid prediction on the transition stage to new vegetation-climate equilibrium as it represents changes in structure of forest reflecting site conditions and climate factors. The objective of this study is to develop forest growth map using regression tree analysis by extracting large-scale non-linear structures from both field-based FIA and remotely sensed MODIS data set. The major issue addressed in this approach is non-linear spatial patterns of forest attributes. Forest inventory data showed complex spatial patterns that reflect environmental states and processes that originate at different spatial scales. At broad scales, non-linear spatial trends in forest attributes and mixture of continuous and discrete types of environmental variables make traditional statistical (multivariate regression) and geostatistical (kriging) models inefficient. It calls into question some traditional underlying assumptions of spatial trends that uncritically accepted in forest data. To solve the controversy surrounding the suitability of forest data, regression tree analysis are performed using Software See5 and Cubist. Four publicly available data sets were obtained: First, field-based Forest Inventory and Analysis (USDA, Forest Service) data set for the 31 eastern most United States. Second, 8-day composite of MODIS Land Cover, FPAR, LAI and GPP/NPP data were obtained from Jan 2001 to Dec 2004 (total 182 composite) and each product were filtered by pixel-level quality assurance data to select best quality pixels. Third, 30-year averaged climate data were collected from National Oceanic and Atmospheric Administration (NOAA) and five climatic variables were obtained: Monthly temperature, precipitation, annual heating and cooling days, and annual frost-free days. Forth, topographic data were obtained from digital elevation model (1km by 1km). This research will provide a better understanding of large-scale forest responses to environmental factors that will be beneficial for the development of important forest management applications.

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

    Treesearch

    Northeastern Research Station

    2002-01-01

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

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

    Treesearch

    Lloyd C. Irland

    2007-01-01

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

  10. Forest resources of the Bitterroot National Forest

    Treesearch

    Tracey S. Frescino

    2008-01-01

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

  11. Forest Service Resource Inventories: An Overview

    Treesearch

    USDA Forest Service

    1992-01-01

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

  12. Plots, pixels, and partnerships: prospects for mapping, monitoring and modeling biodiversity.

    Treesearch

    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...

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

    Treesearch

    Ronald E. McRoberts

    2008-01-01

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

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

    Treesearch

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

    2005-01-01

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

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

    Treesearch

    Erkki Tomppo

    2009-01-01

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

  16. The U.S. forest carbon accounting framework: stocks and stock change, 1990-2016

    Treesearch

    Christopher W. Woodall; John W. Coulston; Grant M. Domke; Brian F. Walters; David N. Wear; James E. Smith; Hans-Erik Andersen; Brian J. Clough; Warren B. Cohen; Douglas M. Griffith; Stephen C. Hagen; Ian S. Hanou; Michael C. Nichols; Charles H. (Hobie) Perry; Matthew B. Russell; Jim Westfall; Barry T. (Ty) Wilson

    2015-01-01

    As a signatory to the United Nations Framework Convention on Climate Change, the United States annually prepares an inventory of carbon that has been emitted and sequestered among sectors (e.g., energy, agriculture, and forests). For many years, the United States developed an inventory of forest carbon by comparing contemporary forest inventories to inventories that...

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

    Treesearch

    T. J. Brandeis

    2003-01-01

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

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

    Treesearch

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

    2017-01-01

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

  19. 77 FR 39506 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Tongass National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-07-03

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

  20. 77 FR 68821 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Ozark-St. Francis...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-11-16

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

  1. 77 FR 68822 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Ozark-St. Francis...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-11-16

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

  2. 77 FR 68819 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, Ozark-St. Francis...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-11-16

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

  3. South-central Alaska forests: inventory highlights.

    Treesearch

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

    2005-01-01

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

  4. Assessing Regeneration Adequacy In Pennsylvania's Forests: A Pilot Study

    Treesearch

    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...

  5. Joint Annual Forest Inventory and Monitoring System

    Treesearch

    Ronald E. McRoberts

    1999-01-01

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

  6. Assessing removals for North Central forest inventories.

    Treesearch

    W. Brad Smith

    1991-01-01

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

  7. Midsouth timber statistics

    Treesearch

    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,...

  8. Spatio-temporal change in forest cover and carbon storage considering actual and potential forest cover in South Korea.

    PubMed

    Nam, Kijun; Lee, Woo-Kyun; Kim, Moonil; Kwak, Doo-Ahn; Byun, Woo-Hyuk; Yu, Hangnan; Kwak, Hanbin; Kwon, Taesung; Sung, Joohan; Chung, Dong-Jun; Lee, Seung-Ho

    2015-07-01

    This study analyzes change in carbon storage by applying forest growth models and final cutting age to actual and potential forest cover for six major tree species in South Korea. Using National Forest Inventory data, the growth models were developed to estimate mean diameter at breast height, tree height, and number of trees for Pinus densiflora, Pinus koraiensis, Pinus rigida, Larix kaempferi, Castanea crenata and Quercus spp. stands. We assumed that actual forest cover in a forest type map will change into potential forest covers according to the Hydrological and Thermal Analogy Groups model. When actual forest cover reaches the final cutting age, forest volume and carbon storage are estimated by changed forest cover and its growth model. Forest volume between 2010 and 2110 would increase from 126.73 to 157.33 m(3) hm(-2). Our results also show that forest cover, volume, and carbon storage could abruptly change by 2060. This is attributed to the fact that most forests are presumed to reach final cutting age. To avoid such dramatic change, a regeneration and yield control scheme should be prepared and implemented in a way that ensures balance in forest practice and yield.

  9. Transforming round pegs to fill square holes:Facing the challenge of forest inventories as tools of environmental policy for the 21st century

    Treesearch

    Victor A. Rudis

    1993-01-01

    Todays forest inventory specialist is challenged to combine inventories and analysis of timber with range recreation, soil, water, and wildlife resources, related human uses, and social and economic concerns.Lessons learned in adapting timber-oriented forest inventories toward holistic forest resources assessment are provided.Discussed are ways to maintain dialogue...

  10. Effects of lidar pulse density and sample size on a model-assisted approach to estimate forest inventory variables

    Treesearch

    Jacob Strunk; Hailemariam Temesgen; Hans-Erik Andersen; James P. Flewelling; Lisa Madsen

    2012-01-01

    Using lidar in an area-based model-assisted approach to forest inventory has the potential to increase estimation precision for some forest inventory variables. This study documents the bias and precision of a model-assisted (regression estimation) approach to forest inventory with lidar-derived auxiliary variables relative to lidar pulse density and the number of...

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

    Treesearch

    Sara A. Goeking

    2012-01-01

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

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

    Treesearch

    Nikolay Strigul; Jean Lienard

    2015-01-01

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

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

    Treesearch

    Sonja N. Oswalt; Christopher M. Oswalt

    2011-01-01

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

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

    Treesearch

    Christopher M. Oswalt; Andrew J. Hartsell

    2012-01-01

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

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

    Treesearch

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

    2016-01-01

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

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

    Treesearch

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

    2015-01-01

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

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

    Treesearch

    Christopher M. Oswalt; Sonja N. Oswalt

    2014-01-01

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

  18. The importance of forest structure to biodiversity–productivity relationships

    PubMed Central

    Huth, Andreas

    2017-01-01

    While various relationships between productivity and biodiversity are found in forests, the processes underlying these relationships remain unclear and theory struggles to coherently explain them. In this work, we analyse diversity–productivity relationships through an examination of forest structure (described by basal area and tree height heterogeneity). We use a new modelling approach, called ‘forest factory’, which generates various forest stands and calculates their annual productivity (above-ground wood increment). Analysing approximately 300 000 forest stands, we find that mean forest productivity does not increase with species diversity. Instead forest structure emerges as the key variable. Similar patterns can be observed by analysing 5054 forest plots of the German National Forest Inventory. Furthermore, we group the forest stands into nine forest structure classes, in which we find increasing, decreasing, invariant and even bell-shaped relationships between productivity and diversity. In addition, we introduce a new index, called optimal species distribution, which describes the ratio of realized to the maximal possible productivity (by shuffling species identities). The optimal species distribution and forest structure indices explain the obtained productivity values quite well (R2 between 0.7 and 0.95), whereby the influence of these attributes varies within the nine forest structure classes. PMID:28280550

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

    Treesearch

    Christopher W. Woodall; Linda Nagel

    2005-01-01

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

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

    Treesearch

    Bonnie Ruefenacht; Mark D. Nelson; Mark Finco

    2009-01-01

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

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

    Treesearch

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

    1988-01-01

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

  2. A primer on stand and forest inventory designs

    Treesearch

    H. Gyde Lund; Charles E. Thomas

    1989-01-01

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

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

    PubMed

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

    2011-12-01

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

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

    Treesearch

    Dennis M. May

    1990-01-01

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

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

    Treesearch

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

    2015-01-01

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

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

    Treesearch

    Jacob L. Strunk; Peter J. Gould

    2015-01-01

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

  7. South Carolina’s forests, 2011

    Treesearch

    Anita K. Rose

    2016-01-01

    Between 2007 and 2011, the U.S. Department of Agriculture Forest Service’s 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 Carolina’s forest land was in private ownership. Many private individuals...

  8. Michigan's forests, 2004: statistics and quality assurance

    Treesearch

    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).

  9. Missouri's forest resources, 2005

    Treesearch

    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...

  10. Washington's public and private forests.

    Treesearch

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

    1997-01-01

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

  11. Forest resources of the Beaverhead-Deerlodge National Forest

    Treesearch

    Larry T. DeBlander

    2001-01-01

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

  12. Assessing Canada's Forest Carbon Sinks from 1901 TO 2008 BY Combining Inventory with Climate Data (Invited)

    NASA Astrophysics Data System (ADS)

    Chen, J. M.; Wu, C.; Gonsamo, A.; Kurz, W.; Hember, R.; Price, D. T.; Boisvenue, C.; Zhang, F.; Chang, K.

    2013-12-01

    The forest carbon cycle is not only controlled by climate, tree species and site conditions, but also by disturbance affecting the biomass and age of forest stands. The Carbon Budget Model of the Canadian forest sector (CBM-CFS3) calculates the complete forest carbon cycle by combining forest inventory data on forest species, biomass and stand age with empirical yield information and statistics on forest disturbances, management and land-use change. It is used for national reporting and climate policy purposes. The Integrated Terrestrial Ecosystem Carbon model (InTEC) is driven by remotely-sensed vegetation parameters (forest type, leaf area index, clumping index) and fire scar, soil and climate data and simulates forest growth and the carbon cycle as a function of stand age using a process-based approach. Gridded forest biomass, stand age and disturbance data based on forest inventory are also used as inputs to InTEC. Efforts are being made to enhance the CBM-CFS3's capacity to assess the impacts of global change on the forest carbon budget by utilizing InTEC process modeling methodology. For this purpose, InTEC is first implemented on 3432 permanent sampling plots in coastal and interior BC, and it is found that climate warming explained 70% and 75% of forest growth enhancement over the period from 1956 to 2001 in coastal and interior BC, respectively, and the remainder is attributed to CO2 and nitrogen fertilization effects. The growth enhancement, in terms of the increase in the stemwood accumulation rate after adjusting for the stand age effect, is about 24% for both areas over the same period. To assess the impact of climate change on the forest carbon cycle across Canada, polygon-based CBM and gridded InTEC results are aggregated to 60 reconciliation units (RU), and their interannual variabilities over the period from 1990 to 2008 are compared in each RU. CBM results show interannual variability in response to forest disturbance, while InTEC results show larger interannual variability because it is affected by both disturbance and climate. The impact of climate at the RU level is generally positive (increased sink) due to warming, but sometimes negative due to water stress. Averaged over Canada, climate warming induced a longer growing season by about one week from 1901 to 2008, enhancing the annual forest carbon sink by about 42×30 TgC y-1 over the period from 1990 to 2008, while CO2 and nitrogen fertilization effects each also contributed about the same amount to Canada's forest carbon sink.

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

    Treesearch

    Sonja N. Oswalt; Christopher M. Oswalt

    2011-01-01

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

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

    Treesearch

    Sonja N. Oswalt; Christopher M. Oswalt

    2014-01-01

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

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

    Treesearch

    Sonja N. Oswalt; Christopher M. Oswalt

    2014-01-01

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

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

    Treesearch

    Cassandra Olson; Anita F. Cholewa

    2009-01-01

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

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

    Treesearch

    Sonja N. Oswalt; Christopher M. Oswalt

    2011-01-01

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

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

    Treesearch

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

    2015-01-01

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

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

    Treesearch

    Christopher M. Oswalt; Sonja N. Oswalt

    2013-01-01

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

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

    Treesearch

    Christopher M. Oswalt; Sonja N. Oswalt

    2012-01-01

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

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

    Treesearch

    Christopher M. Oswalt; Sonja N. Oswalt

    2012-01-01

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

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

    Treesearch

    Christopher M. Oswalt; Sonja N. Oswalt

    2012-01-01

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

  3. Using FIESTA , an R-based tool for analysts, to look at temporal trends in forest estimates

    Treesearch

    Tracey S. Frescino; Paul L. Patterson; Elizabeth A. Freeman; Gretchen G. Moisen

    2012-01-01

    FIESTA (Forest Inventory Estimation for Analysis) is a user-friendly R package that supports the production of estimates for forest resources based on procedures from Bechtold and Patterson (2005). The package produces output consistent with current tools available for the Forest Inventory and Analysis National Program, such as FIDO (Forest Inventory Data Online) and...

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

    Treesearch

    T.M. Barrett

    2004-01-01

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

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

    Treesearch

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

    2018-01-01

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

  6. Assessing biomass and forest area classifications from modis satellite data while incrementing the number of FIA data panels

    Treesearch

    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...

  7. Ancient human disturbances may be skewing our understanding of Amazonian forests.

    PubMed

    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.

  8. Forests of Ohio, 2013

    Treesearch

    Richard H. Widmann

    2014-01-01

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

  9. Forests of Maryland, 2013

    Treesearch

    T.W. Lister; S.A. Pugh

    2014-01-01

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

  10. Forests of Michigan, 2014

    Treesearch

    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...

  11. Maine's annual inventory: state perspectives

    Treesearch

    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...

  12. Forests of Michigan, 2015

    Treesearch

    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...

  13. Forests of Michigan, 2016

    Treesearch

    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...

  14. Forests of Maine, 2015

    Treesearch

    Emily S. Huff; William H. McWilliams

    2016-01-01

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

  15. Forests of Pennsylvania, 2013

    Treesearch

    George L. McCaskill

    2014-01-01

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

  16. Forests of Maine, 2013

    Treesearch

    George L. McCaskill

    2014-01-01

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

  17. Forests of Michigan, 2017

    Treesearch

    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...

  18. Forests of the Mountain State

    Treesearch

    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...

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

    Treesearch

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

    1999-01-01

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

  20. Forest resources of the Kootenai National Forest

    Treesearch

    Andrea M. Wilson; Patrick D. Miles

    2000-01-01

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

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

    Treesearch

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

    2001-01-01

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

  2. Mississippi, 2010 forest inventory and analysis factsheet

    Treesearch

    S.N. Oswalt; J. Bentley

    2011-01-01

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

  3. Mississippi, 2012 forest inventory and analysis factsheet

    Treesearch

    Sonja N. Oswalt

    2013-01-01

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

  4. Mississippi, 2011 forest inventory and analysis factsheet

    Treesearch

    Sonja N. Oswalt

    2013-01-01

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

  5. Forests of Maine, 2014

    Treesearch

    George L. McCaskill

    2015-01-01

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

  6. Nebraska's forests, 2005: statistics, methods, and quality assurance

    Treesearch

    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...

  7. Kansas's forests, 2005: statistics, methods, and quality assurance

    Treesearch

    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...

  8. Forests of the Garden State

    Treesearch

    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...

  9. Forests of Delaware, 2013

    Treesearch

    T.W. Lister; S.A. Pugh

    2014-01-01

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

  10. Southeast Alaska forests: inventory highlights.

    Treesearch

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

    2004-01-01

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

  11. The forests of Connecticut

    Treesearch

    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,...

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

    Treesearch

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

    2013-01-01

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

  13. Sampling protocol, estimation, and analysis procedures for the down woody materials indicator of the FIA program

    Treesearch

    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...

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

    Treesearch

    John D. Shaw

    2008-01-01

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

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

    Treesearch

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

    2004-01-01

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

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

    Treesearch

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

    2005-01-01

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

  17. The Net Exchange Between Terrestrial Ecosystems and the Atmosphere as a Result of Changes in Land Use

    NASA Technical Reports Server (NTRS)

    Houghton, R. A.

    1998-01-01

    The general purpose of this research was to improve and update (to 1990) estimates of the net flux of carbon between the world's terrestrial ecosystems and the atmosphere from changes in land use (e.g., deforestation and reforestation). The estimates are important for understanding the global carbon cycle, and for predicting future concentrations of atmospheric CO2 that will result from emissions. The emphasis of the first year's research was on the northern temperate zone and boreal forests, where the greatest discrepancy exists between estimates of flux. Forest inventories suggest net sinks of 0.6 PgC/yr; inversion analyses based on atmospheric data and models suggest much larger sinks 2-3.6 PgC/yr (e.g., Tans et al. 1990, Ciais et al. 1995). The work carried out with this grant calculated the flux attributable to changes in land use. The estimated flux was somewhat smaller than the flux calculated from inventory data suggesting that environmental changes have led to a small accumulation of carbon in forests that exceeds the accumulation expected from past rates of harvest. Two publications have described these results (Houghton 1996, 1998). The large difference between these estimates and those obtained with atmospheric data and models remains unexplained. The recent estimate of a 1.7 PgC/yr sink in North America, alone (Fan et al. 1998), is particularly difficult to explain. That part of the sink attributable to land-use change, however, is defined as a result of this grant.

  18. Nonnative Plants in the Inventory of Western Oregon Forests

    Treesearch

    Andrew N. Gray

    2005-01-01

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

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

    Treesearch

    Ronald E. McRoberts; Mark H. Hansen

    1999-01-01

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

  20. Photo-based estimators for the Nevada photo-based inventory

    Treesearch

    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...

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

    Treesearch

    Michael T. Thompson

    2009-01-01

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

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

    Treesearch

    David C. Chojnacky

    1998-01-01

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

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

    Treesearch

    John D. Shaw

    2017-01-01

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

  4. Bridging the gap between strategic and management forest inventories

    Treesearch

    Ronald E. McRoberts

    2009-01-01

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

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

    Treesearch

    Michael T. Thompson

    2001-01-01

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

  6. Estimating forest structural characteristics using the airborne LiDAR scanning system and a near-real time profiling laser system

    NASA Astrophysics Data System (ADS)

    Zhao, Kaiguang

    LiDAR (Light Detection and Ranging) directly measures canopy vertical structures, and provides an effective remote sensing solution to accurate and spatially-explicit mapping of forest characteristics, such as canopy height and Leaf Area Index. However, many factors, such as large data volume and high costs for data acquisition, precludes the operational and practical use of most currently available LiDARs for frequent and large-scale mapping. At the same time, a growing need is arising for real-time remote sensing platforms, e.g., to provide timely information for urgent applications. This study aims to develop an airborne profiling LiDAR system, featured with on-the-fly data processing, for near real- or real-time forest inventory. The development of such a system involves implementing the on-board data processing and analysis as well as building useful regression-based models to relate LiDAR measurements with forest biophysical parameters. This work established a paradigm for an on-the-fly airborne profiling LiDAR system to inventory regional forest resources in real- or near real-time. The system was developed based on an existing portable airborne laser system (PALS) that has been previously assembled at NASA by Dr. Ross Nelson. Key issues in automating PALS as an on-the-fly system were addressed, including the design of an archetype for the system workflow, the development of efficient and robust algorithms for automatic data processing and analysis, the development of effective regression models to predict forest biophysical parameters from LiDAR measurements, and the implementation of an integrated software package to incorporate all the above development. This work exploited the untouched potential of airborne laser profilers for real-time forest inventory, and therefore, documented an initial step toward developing airborne-laser-based, on-the-fly, real-time, forest inventory systems. Results from this work demonstrated the utility and effectiveness of airborne scanning or profiling laser systems for remotely measuring various forest structural attributes at a range of scales, i.e., from individual tree, plot, stand and up to regional levels. The system not only provides a regional assessment tool, one that can be used to repeatedly, remotely measure hundreds or thousands of square kilometers with little/no analyst interaction or interpretation, but also serves as a paradigm for future efforts in building more advanced airborne laser systems such as real-time laser scanners.

  7. Forests of West Virginia, 2014

    Treesearch

    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...

  8. Forests of New York, 2013

    Treesearch

    Richard H. Widmann

    2014-01-01

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

  9. Forests of West Virginia, 2013

    Treesearch

    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...

  10. Hurricane Hugo Effects on South Carolina's Forest Resource

    Treesearch

    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...

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

    Treesearch

    Greg C. Liknes; Mark D. Nelson

    2009-01-01

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

  12. 78 FR 34128 - Notice of Inventory Completion: U.S. Department of Agriculture, U.S. Forest Service, San Juan...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-06-06

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

  13. 78 FR 34125 - Notice of Inventory Completion: U.S. Department of Agriculture, Forest Service, San Juan National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-06-06

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

  14. Indiana's forest resources in 2003.

    Treesearch

    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...

  15. Forests of Maryland, 2016

    Treesearch

    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...

  16. Forests of Delaware, 2015

    Treesearch

    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...

  17. Forests of Maryland, 2015

    Treesearch

    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,...

  18. Forests of Delaware, 2016

    Treesearch

    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...

  19. Crown-condition classification: a guide to data collection and analysis

    Treesearch

    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...

  20. Forests of New Hampshire, 2016

    Treesearch

    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...

  1. Forests of New Hampshire, 2015

    Treesearch

    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...

  2. Louisiana, 2010 forest inventory and analysis factsheet

    Treesearch

    Sonja N. Oswalt; Tony G. Johnson

    2012-01-01

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

  3. Forests of Delaware, 2014

    Treesearch

    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...

  4. Forests of New Hampshire, 2014

    Treesearch

    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...

  5. Forests of Maryland, 2014

    Treesearch

    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...

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

    Treesearch

    Dennis M. Jacobs

    2007-01-01

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

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

    Treesearch

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

    2006-01-01

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

  8. Forests of West Virginia, 2015

    Treesearch

    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...

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

    Treesearch

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

    2012-01-01

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

  10. FIADB vegetation diversity and structure indicator (VEG)

    Treesearch

    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...

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

    Treesearch

    James A. Westfall; Charles T. Scott

    2009-01-01

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

  12. The virtual analyst program: automated data mining, error analysis, and reporting

    Treesearch

    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)...

  13. The forests of the Green Mountain State

    Treesearch

    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...

  14. Forest statistics for Delaware: 1986 and 1999

    Treesearch

    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...

  15. Forest statistics for West Virginia: 1989 and 2000

    Treesearch

    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...

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

    Treesearch

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

    2013-01-01

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

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

    PubMed Central

    Kovač, Marko; Bauer, Arthur; Ståhl, Göran

    2014-01-01

    Backgrounds, Material and Methods To meet the demands of sustainable forest management and international commitments, European nations have designed a variety of forest-monitoring systems for specific needs. While the majority of countries are committed to independent, single-purpose inventorying, a minority of countries have merged their single-purpose forest inventory systems into integrated forest resource inventories. The statistical efficiencies of the Bavarian, Slovene and Swedish integrated forest resource inventory designs are investigated with the various statistical parameters of the variables of growing stock volume, shares of damaged trees, and deadwood volume. The parameters are derived by using the estimators for the given inventory designs. The required sample sizes are derived via the general formula for non-stratified independent samples and via statistical power analyses. The cost effectiveness of the designs is compared via two simple cost effectiveness ratios. Results In terms of precision, the most illustrative parameters of the variables are relative standard errors; their values range between 1% and 3% if the variables’ variations are low (s%<80%) and are higher in the case of higher variations. A comparison of the actual and required sample sizes shows that the actual sample sizes were deliberately set high to provide precise estimates for the majority of variables and strata. In turn, the successive inventories are statistically efficient, because they allow detecting the mean changes of variables with powers higher than 90%; the highest precision is attained for the changes of growing stock volume and the lowest for the changes of the shares of damaged trees. Two indicators of cost effectiveness also show that the time input spent for measuring one variable decreases with the complexity of inventories. Conclusion There is an increasing need for credible information on forest resources to be used for decision making and national and international policy making. Such information can be cost-efficiently provided through integrated forest resource inventories. PMID:24941120

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

    Treesearch

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

    2001-01-01

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

  19. The forests of Maine: 2003

    Treesearch

    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...

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

    Treesearch

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

    2001-01-01

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

  1. Ancient human disturbances may be skewing our understanding of Amazonian forests

    PubMed Central

    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

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

    Treesearch

    Mark D. Nelson; John Vissage

    2007-01-01

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

  3. Development of LANDSAT Derived Forest Cover Information for Integration into Adirondack Park GIS

    NASA Technical Reports Server (NTRS)

    Curran, R. P.; Banta, J. S.

    1982-01-01

    Based upon observed changes in timber harvest practices partially attributable to forest biomass removable for energy supply purposes, the Adirondack Park Agency began in 1979 a multi-year project to implement a digital geographic information system (GIS). An initial developmental task was an inventory of forest cover information and analysis of forest resource change and availability. While developing the GIS, a pilot project was undertaken to evaluate the usefulness of LANDSAT derived land cover information for this purpose, and to explore the integration of LANDSAT data into the GIS. The prototype LANDSAT analysis project involved: (1) the use of both recent and historic data to derive land cover information for two dates; and (2) comparison of land cover over time to determine quantitative and geographic changes. The "recent data," 1978 full foliage data over portions of four LANDSAT scenes, was classified, using ground truth derived training samples in various forested and non-forested categories. Forested categories include the following: northern hardwoods, pine, spruce-fir, and pine plantation, while nonforested categories include wet-conifer, pasture, grassland, urban, exposed soil, agriculture, and water.

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

    Treesearch

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

    2009-01-01

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

  5. Timber resource statistics for the upper Tanana block, Tanana inventory unit, Alaska, 1974.

    Treesearch

    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...

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

    Treesearch

    Christopher W. Woodall; Patrick D. Miles

    2006-01-01

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

  7. Practical Considerations When Using Perturbed Forest Inventory Plot Locations To Develop Spatial Models: A Case Study

    Treesearch

    John W. Coulston; Gregory A. Reams; Ronald E. McRoberts; William D. Smith

    2006-01-01

    U.S. Department of Agriculture Forest Service Forest Inventory and Analysis plot information is used in many capacities including timber inventories, forest health assessments, and environmental risk analyses. With few exceptions, actual plot locations cannot be revealed to the general public. The public does, however, have access to perturbed plot coordinates. The...

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

    Treesearch

    Andrew J. R. Gillespie

    2000-01-01

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

  9. Development of carbon response trajectories using FIA plot data and FVS growth simulator: challenges of a large scale simulation project

    Treesearch

    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 (...

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

    Treesearch

    William H. McWilliams

    1990-01-01

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

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

    Treesearch

    Piermaria Corona; Marco Marchetti

    2000-01-01

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

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

    Treesearch

    Sharon M. Stanton; Glenn A. Christensen

    2016-01-01

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

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

    Treesearch

    John R. Mills; Xiaoping. Zhou

    2003-01-01

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

  14. Landscape-scale parameterization of a tree-level forest growth model: a k-nearest neighbor imputation approach incorporating LiDAR data

    Treesearch

    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...

  15. Demographic controls of aboveground forest biomass across North America.

    PubMed

    Vanderwel, Mark C; Zeng, Hongcheng; Caspersen, John P; Kunstler, Georges; Lichstein, Jeremy W

    2016-04-01

    Ecologists have limited understanding of how geographic variation in forest biomass arises from differences in growth and mortality at continental to global scales. Using forest inventories from across North America, we partitioned continental-scale variation in biomass growth and mortality rates of 49 tree species groups into (1) species-independent spatial effects and (2) inherent differences in demographic performance among species. Spatial factors that were separable from species composition explained 83% and 51% of the respective variation in growth and mortality. Moderate additional variation in mortality (26%) was attributable to differences in species composition. Age-dependent biomass models showed that variation in forest biomass can be explained primarily by spatial gradients in growth that were unrelated to species composition. Species-dependent patterns of mortality explained additional variation in biomass, with forests supporting less biomass when dominated by species that are highly susceptible to competition (e.g. Populus spp.) or to biotic disturbances (e.g. Abies balsamea). © 2016 John Wiley & Sons Ltd/CNRS.

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

    PubMed Central

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

    2015-01-01

    The boreal region is facing intensifying resource extraction pressure, but the lack of comprehensive biodiversity data makes operative forest conservation planning difficult. Many countries have implemented forest inventory schemes and are making extensive and up-to-date forest databases increasingly available. Some of the more detailed inventory databases, however, remain proprietary and unavailable for conservation planning. Here, we investigate how well different open and proprietary forest inventory data sets suit the purpose of conservation prioritization in Finland. We also explore how much priorities are affected by using the less accurate but open data. First, we construct a set of indices for forest conservation value based on quantitative information commonly found in forest inventories. These include the maturity of the trees, tree species composition, and site fertility. Secondly, using these data and accounting for connectivity between forest types, we investigate the patterns in conservation priority. For prioritization, we use Zonation, a method and software for spatial conservation prioritization. We then validate the prioritizations by comparing them to known areas of high conservation value. We show that the overall priority patterns are relatively consistent across different data sources and analysis options. However, the coarse data cannot be used to accurately identify the high-priority areas as it misses much of the fine-scale variation in forest structures. We conclude that, while inventory data collected for forestry purposes may be useful for forest conservation purposes, it needs to be detailed enough to be able to account for more fine-scaled features of high conservation value. These results underline the importance of making detailed inventory data publicly available. Finally, we discuss how the prioritization methodology we used could be integrated into operative forest management, especially in countries in the boreal zone. PMID:26317227

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

    PubMed

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

    2015-01-01

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

  18. Midsouth forest area trends

    Treesearch

    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...

  19. Multiple value forest surveys in the Midsouth states

    Treesearch

    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...

  20. Louisiana’s forests, 2005

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    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...

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