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Advancements in Biomass and Carbon Estimation: The FIA Approach for U.S. Forests

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12 diapositives · 255 Views · Aug 04, 2013

The latest updates in the Forest Inventory and Analysis (FIA) program, focusing on biomass and carbon estimation in U.S. forests. It introduces the Component Ratio Method (CRM) for calculating total biomass, improving upon traditional methods like the Biomass Expansion Factor (BEF). The study aims for national consistency in carbon stock estimates, utilizing new data for various tree species, and enhancing transparency in the FIA's reporting tools. Key findings include updated carbon pool tables and methodologies for accurate forest carbon assessments.

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  1. 2010 FIA Biomass Update W. Brad Smith

  2. What’s hot? Biomass and carbon! Climate Change (or whatever) Station Land use/ Land cover Range and Urban Forests and Annual TPO Biomass and Carbon FIA monitoring engine

  3. National consistency Biomass-volume compatibility in our national database Realistic estimates of any component for any selected area Biomass estimation goals

  4. FIA development of CRM • CRM is the Component Ratio Method for calculating total biomass by tree component and • is a modified version of the commonly used biomass expansion factor (BEF) approach • relies on FIA individual tree measurements to estimate bole volume and missing and rotten material • relies on published biomass studies to establish relationships between tree boles and other tree and site components

  5. To Date Research Note NRS-38 Specific Gravity and Other Properties of Wood and Bark for 156 Tree Species Found in North America Patrick D. Miles and W. Brad Smith • Prepared paperSpecific Gravity and Other Properties of Wood and Bark for 156 Species of Trees Found in North America (updates Jenkins and adds more data on bark and species green weights) • Prepared paper Investigation into Calculating Tree Biomass and Carbon in the FIADB Using a Biomass Expansion Factor Approach • Loaded the national databasewith new compatible component data using the CRM-BEF approach and posted to the web 2008 FIA Symposium (RMRS-P-56) Investigation into Calculating Tree Biomass and Carbon in the FIADB Using a Biomass Expansion Factor Approach Linda S. Heath, Mark H. Hansen, James E. Smith, W. Brad Smith, and Patrick D. Miles

  6. Carbon button, main FIA web page http://fia.fs.fed.us NEW! 2010 U.S. Forest Carbon Data

  7. Carbon in U.S. Forests • In an effort to provide further transparency and consistency in official U.S. forest carbon estimates, the FIA program of the U.S. Forest Service is now providing carbon stock estimates through a selection of our online tools. As we endeavor to improve national consistency of our carbon modeling and estimation procedures, there will be divergences between estimates from older procedures and newer estimates such as provided on this web page. As we progress through this continuous improvement process with our stakeholders, national consistency among carbon reporting tools and improved confidence in carbon estimates will be achieved. Forest Carbon Pool Tables by EPA Level II Ecoregion F I A Forest Carbon Graphics Forest Carbon Fact Sheet The Nation’s Forest Census Forest Carbon Pool Tables by State and Owner Group Total Forest Carbon Live above-ground carbon Dead wood carbon Forest floor carbon Live below-ground carbon Soil organic carbon

  8. USGS Report for EISA will report by modified EPA Level II Ecoregions only FS RPA regions superimposed for reference ROCKY MOUNTAIN NORTH PACIFIC COAST SOUTH • Figure 1. Level II ecoregions of the U.S. Environmental Protection Agency by major RPA Assessment region. Ecoregion boundaries within the United States are based on Omernik (1987); Alaska and Hawaii are not shown.

  9. Carbon Progress • IPCC annual carbon reported by FIA • Enhanced tree component reporting in FIADB • Basic estimates for all forest carbon pools • Units working on taper equations • Completion of CRM and Specific Gravity papers • Posted U.S. carbon by ecoregion to the web

  10. Comparisons of biomass by species, region and method were analyzed Because CRM is only sound wood it generally, tracks lower than Jenkins et. al