Estimating Surface Soil Organic Carbon Content at a Regional Scale Using the National Resource Inventory
The National Resource Inventory (NRI) may be used to estimate soil organic C (SOC) levels at a regional scale if accurate and precise estimates can be made across a wide range of soils, land uses, and topographic positions. The objectives of this study were (i) to identify important sources of varia...
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Veröffentlicht in: | Soil Science Society of America journal 2001-05, Vol.65 (3), p.842-849 |
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description | The National Resource Inventory (NRI) may be used to estimate soil organic C (SOC) levels at a regional scale if accurate and precise estimates can be made across a wide range of soils, land uses, and topographic positions. The objectives of this study were (i) to identify important sources of variation in SOC content at a regional scale and (ii) to determine the precision with which SOC content can be estimated. Surface soil samples (0–10 cm) were collected in four Major Land Resource Areas (MLRAs) and analyzed for SOC, sand, silt, and clay content. Land use, hillslope position, and slope aspect effects on SOC levels were evaluated by analysis of covariance with sand or clay content as a covariate to adjust for textural differences at each sample point. Land use was a significant source of variation in all four regions. Hillslope position and slope aspect were significant sources of variation in only one of the four regions and there were no significant interactions between land use and hillslope position or aspect. The SOC content ranged from 26 to 55 Mg ha 10 cm−1 in the Northern Mississippi Valley Loess Hills, 22 to 50 Mg ha 10 cm−1 in the Palouse and Nez Perce Prairies, 9 to 26 Mg ha 10 cm−1 in the Central High Plains, and 5 to 8 Mg ha 10 cm−1 in the Southern High Plains. Standard errors ranged from 0.5 to 5.0 Mg ha−1 and were lowest in regions where SOC levels were also lowest. Results indicate the NRI can be an effective tool for estimating SOC levels under different land use and conservation practices on a regional scale. |
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The objectives of this study were (i) to identify important sources of variation in SOC content at a regional scale and (ii) to determine the precision with which SOC content can be estimated. Surface soil samples (0–10 cm) were collected in four Major Land Resource Areas (MLRAs) and analyzed for SOC, sand, silt, and clay content. Land use, hillslope position, and slope aspect effects on SOC levels were evaluated by analysis of covariance with sand or clay content as a covariate to adjust for textural differences at each sample point. Land use was a significant source of variation in all four regions. Hillslope position and slope aspect were significant sources of variation in only one of the four regions and there were no significant interactions between land use and hillslope position or aspect. The SOC content ranged from 26 to 55 Mg ha 10 cm−1 in the Northern Mississippi Valley Loess Hills, 22 to 50 Mg ha 10 cm−1 in the Palouse and Nez Perce Prairies, 9 to 26 Mg ha 10 cm−1 in the Central High Plains, and 5 to 8 Mg ha 10 cm−1 in the Southern High Plains. Standard errors ranged from 0.5 to 5.0 Mg ha−1 and were lowest in regions where SOC levels were also lowest. Results indicate the NRI can be an effective tool for estimating SOC levels under different land use and conservation practices on a regional scale.</description><identifier>ISSN: 0361-5995</identifier><identifier>EISSN: 1435-0661</identifier><identifier>DOI: 10.2136/sssaj2001.653842x</identifier><identifier>CODEN: SSSJD4</identifier><language>eng</language><publisher>Madison: Soil Science Society</publisher><subject>Agronomy. Soil science and plant productions ; Biological and medical sciences ; Carbon ; Chemical, physicochemical, biochemical and biological properties ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Experiments ; Federal regulation ; Fundamental and applied biological sciences. Psychology ; Geochemistry ; Land use ; Organic carbon ; Organic chemistry ; Organic matter ; Physics, chemistry, biochemistry and biology of agricultural and forest soils ; Soil and rock geochemistry ; Soil conservation ; Soil erosion, conservation, land management and development ; Soil science ; Soil surfaces ; Soils ; Surficial geology</subject><ispartof>Soil Science Society of America journal, 2001-05, Vol.65 (3), p.842-849</ispartof><rights>Published in Soil Sci. Soc. Am. J.65:842–849.</rights><rights>2001 INIST-CNRS</rights><rights>Copyright American Society of Agronomy May/Jun 2001</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a414X-fc52e93c46bda139eede48e245f2e3bace03658999e8f17f4baec4ab7a5f482b3</citedby><cites>FETCH-LOGICAL-a414X-fc52e93c46bda139eede48e245f2e3bace03658999e8f17f4baec4ab7a5f482b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.2136%2Fsssaj2001.653842x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.2136%2Fsssaj2001.653842x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>309,310,314,776,780,785,786,1411,23909,23910,25118,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1119704$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Brejda, John J.</creatorcontrib><creatorcontrib>Mausbach, Maurice J.</creatorcontrib><creatorcontrib>Goebel, Jeffrey J.</creatorcontrib><creatorcontrib>Allan, Deborah L.</creatorcontrib><creatorcontrib>Dao, Thanh H.</creatorcontrib><creatorcontrib>Karlen, Douglas L.</creatorcontrib><creatorcontrib>Moorman, Thomas B.</creatorcontrib><creatorcontrib>Smith, Jeffrey L.</creatorcontrib><title>Estimating Surface Soil Organic Carbon Content at a Regional Scale Using the National Resource Inventory</title><title>Soil Science Society of America journal</title><description>The National Resource Inventory (NRI) may be used to estimate soil organic C (SOC) levels at a regional scale if accurate and precise estimates can be made across a wide range of soils, land uses, and topographic positions. The objectives of this study were (i) to identify important sources of variation in SOC content at a regional scale and (ii) to determine the precision with which SOC content can be estimated. Surface soil samples (0–10 cm) were collected in four Major Land Resource Areas (MLRAs) and analyzed for SOC, sand, silt, and clay content. Land use, hillslope position, and slope aspect effects on SOC levels were evaluated by analysis of covariance with sand or clay content as a covariate to adjust for textural differences at each sample point. Land use was a significant source of variation in all four regions. Hillslope position and slope aspect were significant sources of variation in only one of the four regions and there were no significant interactions between land use and hillslope position or aspect. The SOC content ranged from 26 to 55 Mg ha 10 cm−1 in the Northern Mississippi Valley Loess Hills, 22 to 50 Mg ha 10 cm−1 in the Palouse and Nez Perce Prairies, 9 to 26 Mg ha 10 cm−1 in the Central High Plains, and 5 to 8 Mg ha 10 cm−1 in the Southern High Plains. Standard errors ranged from 0.5 to 5.0 Mg ha−1 and were lowest in regions where SOC levels were also lowest. Results indicate the NRI can be an effective tool for estimating SOC levels under different land use and conservation practices on a regional scale.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>Carbon</subject><subject>Chemical, physicochemical, biochemical and biological properties</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Experiments</subject><subject>Federal regulation</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Geochemistry</subject><subject>Land use</subject><subject>Organic carbon</subject><subject>Organic chemistry</subject><subject>Organic matter</subject><subject>Physics, chemistry, biochemistry and biology of agricultural and forest soils</subject><subject>Soil and rock geochemistry</subject><subject>Soil conservation</subject><subject>Soil erosion, conservation, land management and development</subject><subject>Soil science</subject><subject>Soil surfaces</subject><subject>Soils</subject><subject>Surficial geology</subject><issn>0361-5995</issn><issn>1435-0661</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><recordid>eNqFkF9LHDEUxUOp0K31A_gWSqFPY_N3ZvIog1aLVHAUfAt34s06y5jYZLbtfnuz7tJCXwohgZvfOTk5hBxzdiK4rL_knGElGOMntZatEr_fkAVXUlesrvlbsmCy5pU2Rr8j73NeFVAbxhbk8SzP4xPMY1jSfp08OKR9HCd6nZYQRkc7SEMMtIthxjBTKIve4HKMASbaO5iQ3uWten5E-r0YvV7cYI7rVLwuw88ii2nzgRx4mDIe7c9Dcnd-dttdVFfXXy-706sKFFf3lXdaoJFO1cMDcGkQH1C1KJT2AuVQ4pWf6NYYg63njVcDoFMwNKC9asUgD8nnne9zij_WmGf7NGaH0wQB4zrbRknVNC1Thfz4D7kqmUv6bAWvmW6EkAXiO8ilmHNCb59T6SttLGd227z907zdN180n_bGkEtBPkFwY_4r5Nw0r-93O-zXOOHm_762P_0m-n67l-lueC9fADW3md4</recordid><startdate>200105</startdate><enddate>200105</enddate><creator>Brejda, John J.</creator><creator>Mausbach, Maurice J.</creator><creator>Goebel, Jeffrey J.</creator><creator>Allan, Deborah L.</creator><creator>Dao, Thanh H.</creator><creator>Karlen, Douglas L.</creator><creator>Moorman, Thomas B.</creator><creator>Smith, Jeffrey L.</creator><general>Soil Science Society</general><general>Soil Science Society of America</general><general>American Society of Agronomy</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope><scope>KR7</scope></search><sort><creationdate>200105</creationdate><title>Estimating Surface Soil Organic Carbon Content at a Regional Scale Using the National Resource Inventory</title><author>Brejda, John J. ; Mausbach, Maurice J. ; Goebel, Jeffrey J. ; Allan, Deborah L. ; Dao, Thanh H. ; Karlen, Douglas L. ; Moorman, Thomas B. ; Smith, Jeffrey L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a414X-fc52e93c46bda139eede48e245f2e3bace03658999e8f17f4baec4ab7a5f482b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>Carbon</topic><topic>Chemical, physicochemical, biochemical and biological properties</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Experiments</topic><topic>Federal regulation</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Geochemistry</topic><topic>Land use</topic><topic>Organic carbon</topic><topic>Organic chemistry</topic><topic>Organic matter</topic><topic>Physics, chemistry, biochemistry and biology of agricultural and forest soils</topic><topic>Soil and rock geochemistry</topic><topic>Soil conservation</topic><topic>Soil erosion, conservation, land management and development</topic><topic>Soil science</topic><topic>Soil surfaces</topic><topic>Soils</topic><topic>Surficial geology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brejda, John J.</creatorcontrib><creatorcontrib>Mausbach, Maurice J.</creatorcontrib><creatorcontrib>Goebel, Jeffrey J.</creatorcontrib><creatorcontrib>Allan, Deborah L.</creatorcontrib><creatorcontrib>Dao, Thanh H.</creatorcontrib><creatorcontrib>Karlen, Douglas L.</creatorcontrib><creatorcontrib>Moorman, Thomas B.</creatorcontrib><creatorcontrib>Smith, Jeffrey L.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>Civil Engineering Abstracts</collection><jtitle>Soil Science Society of America journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brejda, John J.</au><au>Mausbach, Maurice J.</au><au>Goebel, Jeffrey J.</au><au>Allan, Deborah L.</au><au>Dao, Thanh H.</au><au>Karlen, Douglas L.</au><au>Moorman, Thomas B.</au><au>Smith, Jeffrey L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating Surface Soil Organic Carbon Content at a Regional Scale Using the National Resource Inventory</atitle><jtitle>Soil Science Society of America journal</jtitle><date>2001-05</date><risdate>2001</risdate><volume>65</volume><issue>3</issue><spage>842</spage><epage>849</epage><pages>842-849</pages><issn>0361-5995</issn><eissn>1435-0661</eissn><coden>SSSJD4</coden><abstract>The National Resource Inventory (NRI) may be used to estimate soil organic C (SOC) levels at a regional scale if accurate and precise estimates can be made across a wide range of soils, land uses, and topographic positions. The objectives of this study were (i) to identify important sources of variation in SOC content at a regional scale and (ii) to determine the precision with which SOC content can be estimated. Surface soil samples (0–10 cm) were collected in four Major Land Resource Areas (MLRAs) and analyzed for SOC, sand, silt, and clay content. Land use, hillslope position, and slope aspect effects on SOC levels were evaluated by analysis of covariance with sand or clay content as a covariate to adjust for textural differences at each sample point. Land use was a significant source of variation in all four regions. Hillslope position and slope aspect were significant sources of variation in only one of the four regions and there were no significant interactions between land use and hillslope position or aspect. The SOC content ranged from 26 to 55 Mg ha 10 cm−1 in the Northern Mississippi Valley Loess Hills, 22 to 50 Mg ha 10 cm−1 in the Palouse and Nez Perce Prairies, 9 to 26 Mg ha 10 cm−1 in the Central High Plains, and 5 to 8 Mg ha 10 cm−1 in the Southern High Plains. Standard errors ranged from 0.5 to 5.0 Mg ha−1 and were lowest in regions where SOC levels were also lowest. Results indicate the NRI can be an effective tool for estimating SOC levels under different land use and conservation practices on a regional scale.</abstract><cop>Madison</cop><pub>Soil Science Society</pub><doi>10.2136/sssaj2001.653842x</doi><tpages>8</tpages></addata></record> |
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subjects | Agronomy. Soil science and plant productions Biological and medical sciences Carbon Chemical, physicochemical, biochemical and biological properties Earth sciences Earth, ocean, space Exact sciences and technology Experiments Federal regulation Fundamental and applied biological sciences. Psychology Geochemistry Land use Organic carbon Organic chemistry Organic matter Physics, chemistry, biochemistry and biology of agricultural and forest soils Soil and rock geochemistry Soil conservation Soil erosion, conservation, land management and development Soil science Soil surfaces Soils Surficial geology |
title | Estimating Surface Soil Organic Carbon Content at a Regional Scale Using the National Resource Inventory |
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