Specifications

Classification code: 723 Computer Software, Data Handling and Applications - 921
Mathematics
DOI: 10.7641/CTA.2013.11238
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
9.
Accession number: 20131416157386
Title: Spatial variability of soil organic carbon in a typical watershed in the source area of the
middle Dan River, China
Authors: Xu, Guo-Ce1, 2 ; Li, Zhan-Bin1, 2, 3 ; Li, Peng3 ; Lu, Ke-Xin3 ; Wang, Yun4/徐国策;李占
;李鹏;克新;
Author affiliation: 1 State Key Laboratory of Soil Erosion and Dry-land Farming on the Loess
Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of
Water Resources, Yangling, Shaanxi 712100, China
2 Graduate School of Chinese Academy of Sciences, Beijing 100039, China
3 Key Laboratory of Northwest Water Resources and Environment Ecology of Ministry of
Education, Xi'An University of Technology, Xi' an, Shaanxi 710048, China
4 College of Resources and Environment, Northwest A and F University, Yangling, Shaanxi
712100, China
Corresponding author: Xu, G.-C. (xuguoce_x@163.com)
Source title: Soil Research
Abbreviated source title: Soil Res.
Volume: 51
Issue: 1
Issue date: 2013
Publication year: 2013
Pages: 41-49
Language: English
ISSN: 1838675X
Document type: Journal article (JA)
Publisher: CSIRO, P.O. Box 1139, Collingwood, VIC 3066, Australia
Abstract: Soil organic carbon (SOC) plays an important role in maintaining and improving soil
fertility and quality, in addition to mitigating climate change. Understanding SOC spatial
variability is fundamental for describing soil resources and predicting SOC. In this study, SOC
content and SOC mass were estimated based on a soil survey of a small watershed in the Dan
River, China. The spatial heterogeneity of SOC distribution and the impacts of land-use types,
elevation, slope, and aspect on SOC were also assessed. Field sampling was carried out based on
a 100m by 100m grid system overlaid on the topographic map of the study area, and samples
were collected in three soil layers to a depth of 40cm. In total, 222 sites were sampled and 629
soil samples were collected. The results showed that classical kriging could successfully
interpolate SOC content in the watershed. Contents of SOC showed strong spatial heterogeneity
based on the values of the coefficient of variation and the nugget ratio, and this was attributed
largely to the type of land use. The range of the semi-variograms increased with increasing soil
depth. The SOC content in the soil profile decreased as soil depth increased, and there were