半方差函数与Moran’s I在土壤微量元素空间分布研究中的应用——以寿光市为例

Application of Semi-variogram and Moran's I to Spatial Distribution of Trace Elements in Soil:a Case Study in Shouguang County

  • 摘要: 利用半方差函数与Moran’s I两种空间分析方法,研究了山东省寿光市土壤中微量元素的空间分布特征,以探讨不同空间分析方法的差异性与准确性。结果表明,无论表层土壤还是深层土壤,半方差函数分析得到的土壤微量元素的空间相关距离大约为20~60 km,而空间自相关图获得的正自相关距离为20~25km,负自相关距离为25~55 km。除深层土壤中的Zn元素外,其他元素均达到了显著的自相关水平。空间自相关方法对土壤微量元素空间相关性的判断要优于半方差函数法。

     

    Abstract: The spatial distribution of trace elements in Shouguang soil was studied though semi-variogram analysis and Moran's I methods to research the difference and veracity of different spatial analysis methods.The results show that there is good spatial structure of trace elements in Shouguang soils,and the spatial correlation degree is higher in surface soil than that in deep soil.Either in surface soil or in deep soil,the spatial correlation distance of the elements obtained from the semi-variogram analysis is about 20~60 km,but the positive autocorrelation distance obtained from spatial autocorrelograms is about 20~25 km.the negative autocorrelation distance is about 25~55 km.The spatial autocorrelation degree reaches the significant level except of the variable Zn in deep soil.The Moran's I is more accurate than semi-variogram in spatial correlation analysis of soil elements.

     

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