Assessing soil thickness in a black soil watershed in northeast China using random forest and field observations

作     者：Shuai Zhang Gang Liu Shuli Chen Craig Rasmussen Baoyuan Liu Shuai Zhang;Gang Liu;Shuli Chen;Craig Rasmussen;Baoyuan Liu

作者机构：Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China State Key Laboratory of Soil Erosion and Dryland Farming on the Loess PlateauInstitute of Soil and Water ConservationChinese Academy of Sciences and Ministry of Water ResourcesYangling 712100China Department of Environmental ScienceUniversity of Arizona1177 E.Fourth StTucsonAZ 85721-0038USA 

出 版 物：《International Soil and Water Conservation Research》 (国际水土保持研究（英文）)

年 卷 期：2021年第9卷第1期

页      面：49-57页

核心收录：

学科分类：082802[工学-农业水土工程] 0907[农学-林学] 08[工学] 09[农学] 0710[理学-生物学] 090707[农学-水土保持与荒漠化防治] 0828[工学-农业工程] 0818[工学-地质资源与地质工程] 0903[农学-农业资源与环境] 0815[工学-水利工程] 0901[农学-作物学] 0833[工学-城乡规划学] 0713[理学-生态学] 0834[工学-风景园林学（可授工学、农学学位）] 

基　　金：supported by the National Key R&D Program of China(Grant Nos.2018YFC0507006) 

主　　题：Soil thickness Random forest Black soils Northeast China Soil geomorphology 

摘      要：Soil thickness determines the soil productivity in the black soil region of northeast China,which is important for national food *** information on the spatial variation of black soil thickness is *** this paper,we propose a model framework for spatial estimation of the black soil thickness at the watershed scale by integrating field observations,unmanned aerial vehicle variations of topography,and satellite variations of vegetation with the aid of random *** sampled 141 sample profiles over a watershed and identified the black soil thickness based on indices of the mollic *** variables were derived from a digital elevation model and vegetation variables were derived from Landsat 8 *** forest was used to determine the relationship between black soil thickness and environmental *** resulting model explained 61%of the black soil thickness spatial variation,which was more than twice that of traditional interpolation methods(ordinary kriging,universal kriging and inverse distance weighting).Topographic variables contributed the most toward explaining the thickness,followed by vegetation *** black soil thickness over the watershed had a clear catenary soil pattern,with thickest black soil in the low depositional areas and thinnest at the higher elevations that drain into the low *** proposed model framework will improve estimates of soil thickness in the region of our study.