Methodology for estimating soil carbon for the forest carbon budget model of the United States, 2001
Development of soil C pool estimates for the FORCARB model. 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 b...
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| Veröffentlicht in: | Environmental pollution (1987) 2002-01, Vol.116 (3), p.373-380 |
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| creator | Heath, L.S. Birdsey, R.A. Williams, D.W. |
| description | Development of soil C pool estimates for the FORCARB model.
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. |
| doi_str_mv | 10.1016/S0269-7491(01)00213-5 |
| format | Article |
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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.</description><identifier>ISSN: 0269-7491</identifier><identifier>EISSN: 1873-6424</identifier><identifier>DOI: 10.1016/S0269-7491(01)00213-5</identifier><identifier>PMID: 11822715</identifier><identifier>CODEN: ENVPAF</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Agronomy. Soil science and plant productions ; Biological and medical sciences ; Carbon - analysis ; Carbon - metabolism ; Carbon cycle ; Chemical, physicochemical, biochemical and biological properties ; Climate change ; Ecosystem ; Environmental Monitoring - methods ; FORCARB ; Forest inventory ; Forestry ; Fundamental and applied biological sciences. Psychology ; Greenhouse Effect ; Land use change ; Models, Theoretical ; Organic matter ; Physics, chemistry, biochemistry and biology of agricultural and forest soils ; Soil science ; Trees</subject><ispartof>Environmental pollution (1987), 2002-01, Vol.116 (3), p.373-380</ispartof><rights>2001</rights><rights>2002 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c453t-fae8c66cddc66b3e78a90fa39388983c50e1e422a7f8b2fddb3e4ba26149185d3</citedby><cites>FETCH-LOGICAL-c453t-fae8c66cddc66b3e78a90fa39388983c50e1e422a7f8b2fddb3e4ba26149185d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/S0269-7491(01)00213-5$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>309,310,314,780,784,789,790,3550,23930,23931,25140,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=13418658$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11822715$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Heath, L.S.</creatorcontrib><creatorcontrib>Birdsey, R.A.</creatorcontrib><creatorcontrib>Williams, D.W.</creatorcontrib><title>Methodology for estimating soil carbon for the forest carbon budget model of the United States, 2001</title><title>Environmental pollution (1987)</title><addtitle>Environ Pollut</addtitle><description>Development of soil C pool estimates for the FORCARB model.
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.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>Carbon - analysis</subject><subject>Carbon - metabolism</subject><subject>Carbon cycle</subject><subject>Chemical, physicochemical, biochemical and biological properties</subject><subject>Climate change</subject><subject>Ecosystem</subject><subject>Environmental Monitoring - methods</subject><subject>FORCARB</subject><subject>Forest inventory</subject><subject>Forestry</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Greenhouse Effect</subject><subject>Land use change</subject><subject>Models, Theoretical</subject><subject>Organic matter</subject><subject>Physics, chemistry, biochemistry and biology of agricultural and forest soils</subject><subject>Soil science</subject><subject>Trees</subject><issn>0269-7491</issn><issn>1873-6424</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkV1LHDEUhkNR6mr7Eypzo1hw2nxP5kpkaVVQemG9DpnkZE2ZndgkW_Dfm_2oXgohB5LnfL0vQl8I_kYwkd_vMZV92_GenGHyFWNKWCs-oBlRHWslp3wPzV6RA3SY8x-MMWeMfUQHhChKOyJmyN1BeYwujnHx3PiYGsglLE0J06LJMYyNNWmI0-arPMI6VuL_67ByCyjNMjoYm-g3xMMUCrjmvpgC-byhGJNPaN-bMcPnXTxCDz9__J5ft7e_rm7ml7et5YKV1htQVkrrXL0HBp0yPfaG9UypXjErMBDglJrOq4F65yrDB0MlqSsq4dgROt3WfUrx76rOqZchWxhHM0FcZV23Frxn3fsgl7hWlBUUW9CmmHMCr59SlSc9a4L12ge98UGvRda4nrUPWtS8412D1bAE95a1E74CJzvAZGtGn8xkQ37jGCdKClW5iy0HVbd_AZLONsBkwYUEtmgXwzujvADmCKQY</recordid><startdate>20020101</startdate><enddate>20020101</enddate><creator>Heath, L.S.</creator><creator>Birdsey, R.A.</creator><creator>Williams, D.W.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>7SN</scope><scope>7TV</scope></search><sort><creationdate>20020101</creationdate><title>Methodology for estimating soil carbon for the forest carbon budget model of the United States, 2001</title><author>Heath, L.S. ; Birdsey, R.A. ; Williams, D.W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-fae8c66cddc66b3e78a90fa39388983c50e1e422a7f8b2fddb3e4ba26149185d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>Carbon - analysis</topic><topic>Carbon - metabolism</topic><topic>Carbon cycle</topic><topic>Chemical, physicochemical, biochemical and biological properties</topic><topic>Climate change</topic><topic>Ecosystem</topic><topic>Environmental Monitoring - methods</topic><topic>FORCARB</topic><topic>Forest inventory</topic><topic>Forestry</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Greenhouse Effect</topic><topic>Land use change</topic><topic>Models, Theoretical</topic><topic>Organic matter</topic><topic>Physics, chemistry, biochemistry and biology of agricultural and forest soils</topic><topic>Soil science</topic><topic>Trees</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Heath, L.S.</creatorcontrib><creatorcontrib>Birdsey, R.A.</creatorcontrib><creatorcontrib>Williams, D.W.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Ecology Abstracts</collection><collection>Pollution Abstracts</collection><jtitle>Environmental pollution (1987)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Heath, L.S.</au><au>Birdsey, R.A.</au><au>Williams, D.W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Methodology for estimating soil carbon for the forest carbon budget model of the United States, 2001</atitle><jtitle>Environmental pollution (1987)</jtitle><addtitle>Environ Pollut</addtitle><date>2002-01-01</date><risdate>2002</risdate><volume>116</volume><issue>3</issue><spage>373</spage><epage>380</epage><pages>373-380</pages><issn>0269-7491</issn><eissn>1873-6424</eissn><coden>ENVPAF</coden><abstract>Development of soil C pool estimates for the FORCARB model.
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.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><pmid>11822715</pmid><doi>10.1016/S0269-7491(01)00213-5</doi><tpages>8</tpages></addata></record> |
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| ispartof | Environmental pollution (1987), 2002-01, Vol.116 (3), p.373-380 |
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| source | MEDLINE; ScienceDirect Freedom Collection (Elsevier) |
| subjects | Agronomy. Soil science and plant productions Biological and medical sciences Carbon - analysis Carbon - metabolism Carbon cycle Chemical, physicochemical, biochemical and biological properties Climate change Ecosystem Environmental Monitoring - methods FORCARB Forest inventory Forestry Fundamental and applied biological sciences. Psychology Greenhouse Effect Land use change Models, Theoretical Organic matter Physics, chemistry, biochemistry and biology of agricultural and forest soils Soil science Trees |
| title | Methodology for estimating soil carbon for the forest carbon budget model of the United States, 2001 |
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