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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
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  Data: <searchLink fieldCode="AU" term="%22Zhang+D%22">Zhang D</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Yin+J%22">Yin J</searchLink>; Yunnan Minzu University, Kunming, 650504, China.<br /><searchLink fieldCode="AU" term="%22Ma+Y%22">Ma Y</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Chen+J%22">Chen J</searchLink>; Dechang County Meteorological Bureau of Sichuan Province, Dechang, 615000, China.<br /><searchLink fieldCode="AU" term="%22Wen+D%22">Wen D</searchLink>; Yunnan Key Laboratory of Plateau Geographic Processes and Environmental Change, Faculty of Geographical Science, Yunnan Normal University, Kunming, 650500, China.<br /><searchLink fieldCode="AU" term="%22Yang+X%22">Yang X</searchLink>; Yunnan Key Laboratory of Plateau Geographic Processes and Environmental Change, Faculty of Geographical Science, Yunnan Normal University, Kunming, 650500, China.<br /><searchLink fieldCode="AU" term="%22Zhang+W%22">Zhang W</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Li+T%22">Li T</searchLink>; Yunnan Key Laboratory of Meteorological Disasters and Climate Resources in the Greater Mekong Subregion, Yunnan University, Kunming, 650504, China. Electronic address: taohui0813@foxmail.com.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Academic+Press%22">Academic Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0401664 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1095-8630 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203014797%22">03014797 </searchLink><i>NLM ISO Abbreviation: </i>J Environ Manage <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.jenvman.2026.130026
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              Text: 2026 Jun 01
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