Estimating surface soil organic carbon content at a regional scale using the National Resource Inventory

被引:31
作者
Brejda, JJ
Mausbach, MJ
Goebel, JJ
Allan, DL
Dao, TH
Karlen, DL
Moorman, TB
Smith, JL
机构
[1] Univ Nebraska, USDA ARS, Wheat Sorghum & Forage Res Unit, Lincoln, NE 68583 USA
[2] USDA, NRCS, Washington, DC 20013 USA
[3] Univ Minnesota, Dept Soil Water & Climate, St Paul, MN 55108 USA
[4] USDA ARS, Bushland, TX 79012 USA
[5] USDA ARS, Natl Soil Tilth Lab, Ames, IA 50011 USA
[6] Washington State Univ, USDA ARS, Pullman, WA 99164 USA
关键词
D O I
10.2136/sssaj2001.653842x
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
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 Net 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 ran be an effective tool for estimating SOC levels under different land use and conservation practices on a regional scale.
引用
收藏
页码:842 / 849
页数:8
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