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土壤养分空间变异由气候、母质、地形、植被等结构性因素和施肥、耕作措施等随机因素共同作用。以河南省封丘县为研究对象,选择高程、坡度、平面曲率、剖面曲率、地形湿度指数、归一化植被指数(NDVI)等环境因子为辅助变量模拟土壤结构性分量,并分别采用普通克里格插值法和反距离权重法处理空间相关的随机分量,提出了结合环境因子的空间插值方法,并对土壤有机质和全氮进行预测制图。交叉验证结果表明,结合环境因子的空间插值方法能够提高土壤养分空间分布的预测精度,是一种有效的土壤养分预测制图方法。
Spatial variability of soil nutrients by climate, parent material, topography, vegetation and other structural factors and fertilization, tillage measures and other stochastic factors. Taking Fengqiu County of Henan Province as the research object, we selected the environmental factors such as elevation, slope, plane curvature, section curvature, topography humidity index and normalized vegetation index (NDVI) as the auxiliary variables to simulate the soil structural components, Interpolation method and inverse distance weighting method are used to deal with spatial random components. A spatial interpolation method based on environmental factors is proposed, and the prediction of soil organic matter and total nitrogen is made. Cross-validation results show that spatial interpolation method combining environmental factors can improve the prediction accuracy of spatial distribution of soil nutrients, which is an effective soil nutrient prediction mapping method.