土壤2025，Vol.57Issue(2)：430-444,15.DOI:10.13758/j.cnki.tr.2025.02.022
典型黑土区农场尺度土壤属性数字制图方法对比研究
A Comparative Study of Farm-scale Digital Mapping Methods for Soil Attributes in the Typical Black Soil Region
摘要
Abstract
Taking the core demonstration area of Youyi Farm,a typical black soil area in Northeast China,as the study area.Such as soil properties,topography,and remote sensing index were chosen as the environmental variables.Four representative digital soil mapping models,ordinary kriging(OK),geographically weighted regression(GWR),random forest(RF)and random forest-ordinary kriging(RF-OK),were selected to predict the contents and spatial distributions of surface soil pH,organic matter(SOM)and total nitrogen(TN)contents in the demonstration area.And uncertainty maps of spatial distribution were drawn by selecting the optimal model based on model accuracy.The results showed that the average value of pH,SOM,TN in the study area were 6.63,42.26 g/kg and 1.94 g/kg.The coefficients of variation were 13.67%,29.50%and 31.98%,respectively,all of which belonged to moderate spatial variation.In terms of the prediction accuracies of the four models,RF-OK model showed the best performance for predicting soil pH(R2=0.83,CCC=0.84,RMSE=0.41)and SOM(R2=0.72,CCC=0.68,RMSE=7.36 g/kg),and RF model achieved the best performance in predicting soil TN(R2=0.59,CCC=0.68,RMSE=0.36 g/kg).The spatial distribution of the three soil attributes in the demonstration area showed strong spatial heterogeneity.The overall trends of the spatial distribution of soil pH,SOM and TN predicted by the four models were basically the same,and all of them showed a spatial pattern of high in the northeast and low in the southwest.This study not only provides data support for precision agriculture management in the demonstration area,but also provides valuable reference for selecting prediction methods of digital soil mapping.关键词
土壤有机质/土壤全氮/数字土壤制图/随机森林/地理加权回归Key words
Soil organic matter/Soil total nitrogen/Digital soil mapping/Random forest/Geographically weighted regression分类
农业科技引用本文复制引用
王奇,王世航,陶勤,刘峰,宋效东,赵明松,徐胜祥..典型黑土区农场尺度土壤属性数字制图方法对比研究[J].土壤,2025,57(2):430-444,15.基金项目
中国科学院战略性先导科技专项课题(XDA28100500)、国家自然科学基金项目(42271369)和安徽省自然科学基金项目(2208085MD88)资助. （XDA28100500）
