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

Citation
Jj. Brejda et al., Estimating surface soil organic carbon content at a regional scale using the National Resource Inventory, SOIL SCI SO, 65(3), 2001, pp. 842-849
Citations number
29
Categorie Soggetti
Environment/Ecology
Journal title
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
ISSN journal
03615995 → ACNP
Volume
65
Issue
3
Year of publication
2001
Pages
842 - 849
Database
ISI
SICI code
0361-5995(200105/06)65:3<842:ESSOCC>2.0.ZU;2-#
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. T he objectives of this study were (i) to identify important sources of varia tion 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) we re collected in four Major Land Resource Areas (MLRAs) and analyzed for SOC , sand, silt, and clay content. Land use, hillslope position, and slope asp ect effects on SOC levels were evaluated by analysis of covariance with san d 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 r egions. Hillslope position and slope aspect were significant sources of var iation in only one of the four regions and there were no significant intera ctions between land use and hillslope position or aspect, The SOC content r anged from 26 to 55 Mg ha 10 cm(-1) in the Northern Mississippi Valley Loes s 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 d ifferent land use and conservation practices on a regional scale.