生态学报2026，Vol.46Issue(4)：1737-1751,15.DOI:10.20103/j.stxb.202507041730
基于随机森林-三维特征空间法的西南山区石漠化演变格局及其驱动因子
Spatiotemporal patterns and dominant factors of Karst Rocky Desertification in the southwestern mountainous region based on random forest and three-dimensional feature space
摘要
Abstract
In the context of global change,rocky desertification in the southwestern mountainous region has intensified to some extent,making it urgent to clarify its evolution patterns and dominant driving factors.In this study,based on MODIS data products,an optimal remote sensing monitoring model for rocky desertification was constructed by integrating the Random Forest algorithm,three-dimensional feature space model,and geographical detectors.Subsequently,the evolution patterns and dominant driving factors of rocky desertification from 2000 to 2023 were analyzed and interpreted.The main conclusions were as follows:(1)KNDVI,Albedo,BSI,and RBI were identified as the optimal indicators for characterizing rocky desertification in the southwestern mountainous region.Among them,the KNDVI-Albedo-BSI feature space model demonstrated the highest practical applicability for monitoring rocky desertification,with an overall accuracy of 88.39%and a Kappa coefficient of 0.8522,especially exhibiting high stability and discrimination capability in mild,moderate,and extreme rocky desertification classes.(2)From 2000 to 2023,rocky desertification in the southwestern mountainous region was primarily characterized by mild and moderate levels,mainly distributed in the central and western parts of Guizhou Province,the border areas between Sichuan Province and Chongqing Municipality,and the southwestern and southeastern regions of Yunnan Province.(3)From 2000 to 2023,rocky desertification in the southwestern mountainous region showed an overall improving trend.Specifically,from 2000 to 2010,the region experienced a general improvement,while from 2010 to 2023,the trend continued with overall improvement but localized deterioration in certain areas.(4)The dominant driving factors of rocky desertification underwent significant changes between 2000 and 2023,shifting from co-dominance by natural factors in 2000,to a strengthened coupling effect of human activities and natural elements in 2010,and finally to precipitation becoming the primary driver in 2023.The findings of this study provided essential data and decision-making support for the comprehensive management and mitigation of rocky desertification in the southwestern mountainous region.关键词
三维特征空间/石漠化/核归一化植被指数/中分辨率成像光谱仪/西南山区Key words
Three-Dimensional Feature space/rocky desertification/Kernel Noramlized Difference Vegetation Index(KNDVI)/Moderate-resolution Imaging Spectroradiometer(MODIS)/Southwestern Mountainous Region引用本文复制引用
刘盼盼,郭兵..基于随机森林-三维特征空间法的西南山区石漠化演变格局及其驱动因子[J].生态学报,2026,46(4):1737-1751,15.基金项目
国家自然科学基金项目(42471329) （42471329）
山东省高等学校"青创团队计划"团队项目(2022KJ224) （2022KJ224）
