摘要:选择最优空间插值方法对明确不同干扰程度下干旱区土壤有机质空间分布规律具有重要意义。通过对新疆阜康市土壤采样分析，分别运用普通克里格法（Ordinary Kriging，OK）、反距离权重法（inverse distance weight，IDW）、径向基函数法（radial basis function，RBF）、局部多项式法（local polynomial，LPI）4种插值方法，描述不同人为干扰程度下干旱区土壤有机质空间分布特征，以探讨其最优空间插值方法。结果表明：①随干扰程度增加，土壤有机质含量降低，空间变异性由弱到中等，变异系数由9.27%增加至28.7%；同时，土壤有机质空间自相关性逐渐降低，从无人为干扰区、人为干扰区到重度人为干扰区分别呈强烈、中等、弱相关关系，即干扰程度越强受随机因素作用越大。②虽然4种方法的插值精度均随干扰程度的增强而降低。但OK法在空间结构性较强的无人为干扰区插值效果最好，R²为0.625；在人为干扰区及重度人为干扰区RBF法的插值精度均最高，R²分别为0.562和0.434。该结果为寻找适合于不同干扰程度下干旱区土壤有机质的空间插值方法提供一定的科学参考。



Abstract:Choosing the optimal spatial interpolation method is of great significance to clarify the spatial distribution of soil organic matter in arid areas under different degrees of disturbance. When sampling soil in Fukang City, Xinjiang, the Ordinary Kriging (OK) method, the inverse distance weight (IDW) method, the radial basis function (RBF) method, and the local polynomial (LPI) method were used to describe the spatial distribution characteristics of soil organic matter in arid areas under different degrees of human disturbance, so as to explore its optimal spatial interpolation method. Our analyses showed that:(1) When the degree of human disturbance was on soil was great and the content of soil organic matter was low, the spatial variability ranged from weak variation to medium variation, and the coefficient of variation increased from 9.27% to 28.7%. Meanwhile, the spatial autocorrelation of soil organic matter decreased gradually, showing strong, moderate and weak correlation from an unmanned disturbance area, a human disturbance area, and to a severe human disturbance area, respectively. The stronger the degree of human disturbance, the greater the effect of random factors on soil organic matter. (2) The interpolation accuracy of the four methods decreased with the increase of the interference degree. However, the OK method had the best interpolation effect on the unmanned disturbance area with strong spatial structure; the R² was 0.625. The interpolation accuracy of the RBF method was the highest in the human disturbance area and the severe disturbance area; the R² were 0.562 and 0.434, respectively. These results provide a scientific reference for finding a suitable spatial interpolation method for soil organic matter in arid areas with different degrees of disturbance.





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