title: Methodology for estimating soil carbon for the forest carbon budget model of the United States, 2001.
abstract: The 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.
authors.affiliation: USDA Forest Service, Northeastern Research Station, Durham, NH 03824, USA. lheath@fs.fed.us
authors.forename: L S
authors.initials: LS
authors.lastname: Heath
authors.forename: R A
authors.initials: RA
authors.lastname: Birdsey
authors.forename: D W
authors.initials: DW
authors.lastname: Williams
mesh_terms: D002244:Carbon / Q000032:analysis* / Q000378:metabolism; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D016468:Forestry; D017752:Greenhouse Effect; D008962:Models, Theoretical; D014197:Trees
chemical_list: D002244:Carbon