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. |
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| 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 |
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