[1]WANG Heling,ZHANG Huiguo,Lü Guanghui.Analysis of Spatial Non-stationary Relationships Between Soil Organic Matter and Soil Factors in Ebinur Lake Basin[J].Research of Soil and Water Conservation,2016,23(02):224-228.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
23
Number of periods:
2016 02
Page number:
224-228
Column:
Public date:
2016-04-28
- Title:
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Analysis of Spatial Non-stationary Relationships Between Soil Organic Matter and Soil Factors in Ebinur Lake Basin
- Author(s):
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WANG Heling1,2, ZHANG Huiguo3, Lü Guanghui2
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1. College of Applied Mathematics, Xinjiang University of Finance and Economics, Urumqi 830012, China;
2. Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China;
3. Institute of Mathematics and System Science, Xinjiang University, Urumqi 830046, China
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- Keywords:
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soil organic matter; soil factors; spatial non-stationarity; geographically weighted regression; Ebinur Lake Basin
- CLC:
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S159.2;Q142.3
- DOI:
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- Abstract:
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In order to study the spatial non-stationary relationships between soil organic matter (SOM) and soil factors in Ebinur Lake Basin, according to 49 samples of 1—120 cm soil layer from the Ebinur Lake Basin in 2009, Geographically Weighted Regression (GWR) was employed to analyze spatial heterogeneity regression relationships between SOM and soil factors including soil pH, electrical conductivity and heavy mental contents. The results show that, in an average sense, soil pH and electrical conductivity have the reverse impact on the SOM content, and the impact of the heavy metal contents is positive. However, the regression relationships between SOM contents and each soil factor are significantly spatial non-stationary and vary with the region and soil depth in the basin. Specifically, the spatial non-stationarity is more significant in the eastern and western regions of the basin and the 60—120 cm soil layer. The residual diagnosis indicates that the GWR model is effective.