期刊
GEODERMA
卷 245, 期 -, 页码 65-73出版社
ELSEVIER
DOI: 10.1016/j.geoderma.2015.01.015
关键词
Soil organic carbon; Spatial statistics; Partial least squares regression; Climatic transitional area
类别
资金
- Autonomous Government of Galicia (Xunta de Galicia) [EM 2012/60]
- Isidro Parga Pondal Research Programme IPP (Xunta de Galicia)
Spatial differences in the content of organic carbon in topsoils are closely related to differences in environmental parameters such as climate, land use and geology. The spatial distribution of organic carbon in topsoils in Galicia was predicted using a PLS approach and compared with other more frequently applied regression methods (multiple linear regression, and principal component regression). The accuracy of the estimates has been evaluated using an independent dataset PLS presented the highest model performance (R-2 = 0.78, RMSE = 3.48; ME = 0.05) and shows that the amount of SOC can be explained by a combination of climatic factors, land-use and geology, which operate at different intensities and spatial scales. Precipitation rate is the most influential parameter in the accumulation of SOC. We estimated that the total SOC stored in the upper 30 cm in soils from NW Spain is about 0.55 +/- 0.12 Pg C. (C) 2015 Elsevier B.V. All rights reserved.
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