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：02[经济学] 0202[经济学-应用经济学] 0705[理学-地理学] 

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 China.Cur-rently,the dominant driving forces on gully distribution are shown to vary at different spatial scales.However,few systematic studies have been performed on spatial scaling effects in identifying driving forces for gully erosion.In 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 algorithm.The 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,respectively.In addition,contrary to climatic factors,the relative importance of soil properties and vegetation increased with the decrease of spatial scale.Moreover,the RF model outperformed MLR and LMT at all the investigated spatial scales.This 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.