Using GIS spatial distribution to predict soil organic carbon in subtropical China | |
Cheng, XF; Shi, XZ; Yu, DS; Pan, XZ; Wang, HJ; Sun, WX | |
刊名 | PEDOSPHERE
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2004-11-01 | |
卷号 | 14期号:4页码:425-431 |
关键词 | digital elevation model parent material regression model soil organic carbon topography |
ISSN号 | 1002-0160 |
通讯作者 | Shi, XZ() |
英文摘要 | 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 (R-2 = 0.611) and DEM (with a 30 m X 30 m grid), spatial distribution of SOC could be forecasted. |
收录类别 | SCI |
WOS关键词 | DIGITAL ELEVATION MODEL ; MAPPED REFERENCE AREA ; SITE CHARACTERISTICS ; STORAGE PREDICTION ; HYDROMORPHIC SOILS ; LANDSCAPE ; ATTRIBUTES ; FOREST ; REGION ; REGRESSION |
WOS研究方向 | Agriculture |
WOS类目 | Soil Science |
语种 | 英语 |
出版者 | SCIENCE CHINA PRESS |
WOS记录号 | WOS:000224774000002 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2559338 |
专题 | 南京土壤研究所 |
通讯作者 | Shi, XZ |
作者单位 | 1.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Peoples R China 2.Anhui Normal Univ, Dept Geog, Wuhu 241000, Peoples R China |
推荐引用方式 GB/T 7714 | Cheng, XF,Shi, XZ,Yu, DS,et al. Using GIS spatial distribution to predict soil organic carbon in subtropical China[J]. PEDOSPHERE,2004,14(4):425-431. |
APA | Cheng, XF,Shi, XZ,Yu, DS,Pan, XZ,Wang, HJ,&Sun, WX.(2004).Using GIS spatial distribution to predict soil organic carbon in subtropical China.PEDOSPHERE,14(4),425-431. |
MLA | Cheng, XF,et al."Using GIS spatial distribution to predict soil organic carbon in subtropical China".PEDOSPHERE 14.4(2004):425-431. |
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