| 基于GIS的亚热带典型地区土壤有机碳空间分布预测 |
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| 引用本文： | CHENG Xian-Fu,SHI Xue-Zheng,YU Dong-Sheng,PAN Xian-Zhang,WANG Hong-Jie,SUN Wei-Xia. 基于GIS的亚热带典型地区土壤有机碳空间分布预测[J]. 土壤圈, 2004, 14(4): 425-431 |
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| 作者姓名： | CHENG Xian-Fu SHI Xue-Zheng YU Dong-Sheng PAN Xian-Zhang WANG Hong-Jie SUN Wei-Xia |
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| 作者单位： | State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xianfucheng@sina.com.cn;Department of geography, Anhui Normal University, Wuhu 241000 (China);State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xianfucheng@sina.com.cn;State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xianfucheng@sina.com.cn;State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xianfucheng@sina.com.cn;State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xianfucheng@sina.com.cn;State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xianfucheng@sina.com.cn |
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| 基金项目： | *1Project supported by the National Key Basic Research Support Foundation of China (No.G1999011810), the Key Innovation Project of Chinese Academy of Sciences (No.KZCX1-SW01-19), and the Frontier Project of the Chinese Academy of Sciences (No.ISSASIP0201). |
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| 摘 要： | 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.
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| 关 键 词： | GIS 空间分布 中国亚热带地区 土壤组织 碳 地形学 |
Using GIS spatial distribution to predict soil organic carbon in subtropical China |
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| CHENG Xian-Fu,SHI Xue-Zheng,YU Dong-Sheng,PAN Xian-Zhang,WANG Hong-Jie and SUN Wei-Xia. Using GIS spatial distribution to predict soil organic carbon in subtropical China[J]. Pedosphere, 2004, 14(4): 425-431 |
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| Authors: | CHENG Xian-Fu SHI Xue-Zheng YU Dong-Sheng PAN Xian-Zhang WANG Hong-Jie SUN Wei-Xia |
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| Affiliation: | State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xianfucheng@sina.com.cn;Department of geography, Anhui Normal University, Wuhu 241000 (China);State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xianfucheng@sina.com.cn;State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xianfucheng@sina.com.cn;State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xianfucheng@sina.com.cn;State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xianfucheng@sina.com.cn;State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xianfucheng@sina.com.cn |
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| Abstract: | 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. |
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| Keywords: | digital elevation model parent material regression model soil organic carbon topography |
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