中国南方崩岗侵蚀驱动因素的空间尺度效应

作     者：刘政 魏玉杰 崔婷婷 鲁浩 蔡崇法 LIU Zheng;WEI Yujie;CUI Tingting;LU Hao;CAI Chongfa

作者机构：College of Resources and EnvironmentHuazhong Agricultural UniversityWuhan 430070China 

出 版 物：《Journal of Geographical Sciences》 (地理学报（英文版）)

年 卷 期：2024年第34卷第5期

页      面：942-962页

核心收录：

学科分类：082802[工学-农业水土工程] 090707[农学-水土保持与荒漠化防治] 0907[农学-林学] 08[工学] 0828[工学-农业工程] 09[农学] 0705[理学-地理学] 0815[工学-水利工程] 

基　　金：National Natural Science Foundation of China,No.42277329,No.41807065,No.42077067 China Postdoctoral Science Foundation,No.2018M640714 Fundamental Research Funds for the Central Universities,No.2662021ZHQD003 

主　　题：gully erosion scaling effect erosion control gully susceptibility southern China 

摘      要：Gully erosion,an integrated result of various social and environmental factors,is a severe problem for sustainable development and ecology security in southern ***-rently,the dominant driving forces on gully distribution are shown to vary at different spatial ***,few systematic studies have been performed on spatial scaling effects in identifying driving forces for gully *** this study,we quantitatively identified the de-terminants of gully distribution and their relative importance at four different spatial scales(southern China,Jiangxi province,Ganxian county,and Tiancun township,respectively)based on the Boruta *** optimal performance of gully susceptibility mapping was investigated by comparing the performance of the multinomial logistic regression(MLR),lo-gistic model tree(LMT),and random forest(RF).Across the four spatial scales,the total contributions of gully determinants were classified as lithology and soil(32.65%)≥topogra-phy(22.40%)human activities(22.31%)climate(11.32%)vegetation(11.31%).Among these factors,precipitation(7.82%),land use and land cover(6.16%),rainfall erosivity(10.15%),and elevation(11.59%)were shown to be the predominant factors for gully erosion at the individual scale of southern China,province,county,and township,*** addition,contrary to climatic factors,the relative importance of soil properties and vegetation increased with the decrease of spatial ***,the RF model outperformed MLR and LMT at all the investigated spatial *** study provided a reference for factor selection in gully susceptibility modeling and facilitated the development of gully erosion management strategies suitable for different spatial scales.