Quantifying the differential climate responses of compound soil erosion by an integrated conceptual-machine learning framework.

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Title: Quantifying the differential climate responses of compound soil erosion by an integrated conceptual-machine learning framework.
Authors: Zhang D; Yunnan Key Laboratory of Plateau Geographic Processes and Environmental Change, Faculty of Geographical Science, Yunnan Normal University, Kunming, 650500, China; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China., Yin J; Yunnan Minzu University, Kunming, 650504, China., Ma Y; Yunnan Key Laboratory of Plateau Geographic Processes and Environmental Change, Faculty of Geographical Science, Yunnan Normal University, Kunming, 650500, China; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China., Chen J; Dechang County Meteorological Bureau of Sichuan Province, Dechang, 615000, China., Wen D; Yunnan Key Laboratory of Plateau Geographic Processes and Environmental Change, Faculty of Geographical Science, Yunnan Normal University, Kunming, 650500, China., Yang X; Yunnan Key Laboratory of Plateau Geographic Processes and Environmental Change, Faculty of Geographical Science, Yunnan Normal University, Kunming, 650500, China., Zhang W; Yunnan Key Laboratory of Plateau Geographic Processes and Environmental Change, Faculty of Geographical Science, Yunnan Normal University, Kunming, 650500, China. Electronic address: wenxiangzhang@gmail.com., Li T; Yunnan Key Laboratory of Meteorological Disasters and Climate Resources in the Greater Mekong Subregion, Yunnan University, Kunming, 650504, China. Electronic address: taohui0813@foxmail.com.
Source: Journal of environmental management [J Environ Manage] 2026 Jun 01; Vol. 409, pp. 130026. Date of Electronic Publication: 2026 May 25.
Publication Type: Journal Article
Journal Info: Publisher: Academic Press Country of Publication: England NLM ID: 0401664 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8630 (Electronic) Linking ISSN: 03014797 NLM ISO Abbreviation: J Environ Manage Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1095-8630
DOI:10.1016/j.jenvman.2026.130026