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Methodology for estimating soil carbon for the forest carbon budget model of the United States, 2001Author(s): L. S. Heath; R. A. Birdsey; D. W. Williams
Source: Environmental Pollution. 116: 373-380.
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
PDF: Download Publication (864.84 KB)
DescriptionThe largest carbon (C) pool in United States forests is the soil C pool. We present methodology and soil C pool estimates used in the FORCARB model, which estimates and projects forest carbon budgets for the United States. The methodology balances knowledge, uncertainties, and ease of use. The estimates are calculated using the USDA Natural Resources Conservation Service STATSGO database, with soil dynamics following assumptions based on results of site-specific studies, and area estimates from the USDA Forest Service, Forest Inventory and Analysis data and national-level land cover data sets. Harvesting is assumed to have no effect on soil C. Land use change and forest type transitions affect soil C. We apply the methodology to the southeastern region of the United States as a case study.
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CitationHeath, L. S.; Birdsey, R. A.; Williams, D. W. 2002. Methodology for estimating soil carbon for the forest carbon budget model of the United States, 2001. Environmental Pollution. 116: 373-380.
KeywordsCarbon cycle, Climate change, FORCARB, Land use change, Forest inventory
- Leveraging FIA data for analysis beyond forest reports: examples from the world of carbon
- Carbon sequestration in the U.S. forest sector from 1990 to 2010
- The role of reforestation in carbon sequestration
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