Pedosphere 14(4): 425--431, 2004
ISSN 1002-0160/CN 32-1315/P
©2004 Soil Science Society of China
Published by Elsevier B.V. and Science Press
Using GIS spatial distribution to predict soil organic carbon in subtropical China
CHENG Xian-Fu1,2, SHI Xue-Zheng1, YU Dong-Sheng1, PAN Xian-Zhang1, WANG Hong-Jie1, SUN Wei-Xia1
1 State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail:
2 Department of geography, Anhui Normal University, Wuhu 241000 (China)
      Spatial distribution of organic carbon in soils is difficult to estimate because of inherent spatial variability and insufficient data. A soil-landscape model for a region, based on 151 samples for parent material and topographic factors, was established using a GIS spatial analysis technique and a digital elevation model (DEM) to reveal spatial distribution characteristics of soil organic carbon (SOC). Correlations between organic carbon and topographic factors were analyzed and a regression model was established to predict SOC content. Results for surface soils (0-20 cm) showed that the average SOC content was 12.8 g kg-1, with the SOC content between 6 and 12 g kg-1 occupying the largest area and SOC over 24 g kg-1 the smallest. Also, soils derived from phyllite were the highest in the SOC content and area, while soils developed on purple shale the lowest. Although parent material, elevation, and slope exposure were all significant topographic variables (P < 0.01), slope exposure had the highest correlation to SOC content (r = 0.66). Using a multiple regression model (R2 =0.611) and DEM (with a 30 m × 30 m grid), spatial distribution of SOC could be forecasted.
Key Words:  digital elevation model, parent material, regression model, soil organic carbon, topography
Citation: Cheng, X. F., Shi, X. Z., Yu, D. S., Pan, X. Z., Wang, H. J. and Sun, W. X. 2004. Using GIS spatial distribution to predict soil organic carbon in subtropical China. Pedosphere. 14(4): 425-431.
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