中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Revealing the evolution and driving factors of the landscape pattern-ecosystem service-human well-being cascade: Social network and geodetector based analysis

文献类型:期刊论文

作者Liu, Zehua2,3; Zhang, Jianjun2; Liu, Yuanxin1,3
刊名JOURNAL OF ENVIRONMENTAL MANAGEMENT
出版日期2026-04-15
卷号404页码:129291
关键词Ecosystem service cascade Spatiotemporal evolution Single-factor analysis Pairwise factor interaction Social-ecological system
ISSN号0301-4797
DOI10.1016/j.jenvman.2026.129291
产权排序1
文献子类Article
英文摘要Unraveling the evolution of landscape pattern (LP) - ecosystem service (ES) - human well-being (HW) (LEH) cascade process is crucial for optimizing LPs, mitigating ES degradation, and enhancing HW. This study focuses on Qinghai Province, China, employing social network analysis and Geodetector to explore the evolution and driving mechanism of LEH cascade. The results demonstrated that, ES synergies increased and trade-offs decreased in Qinghai between 2000 and 2020. The LEH cascade network grew more cohesive and interconnected, with system boundaries as interactions strengthened key factors -including the number of patches, soil conservation, and residential savings balance-emerged as crucial nodes for sustaining network's functionality. Single-factor detection showed that drivers of HW were best explained by soil organic carbon content (q = 0.42). For ESs, population density (q = 0.34) was the key factor, while LP was primarily influenced by factors like topographic roughness, albeit with weaker explanatory power. Factor interactions provided greater explanatory power for LP, ESs, and HW than any single factor. Both dual-factor and nonlinear enhancements significantly improved the model's explanatory power. The population density-fractional vegetation cover pair showed the strongest synergistic effect on ESs (q = 0.94), indicating nonlinear enhancement, while the temperature-precipitation pair was most explanatory for HW(q = 0.88). The study offers a valuable reference for the systematic understanding of the LEH cascade and provide a scientific foundation for the sustainable management of ecosystems and the enhancement of HW.
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WOS关键词SYSTEMS ; CHALLENGES ; MANAGEMENT ; VEGETATION ; ECOLOGY ; SCIENCE ; CLIMATE ; SOIL
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001727773000001
出版者ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/221539]  
专题千烟洲站森林生态系统研究中心_外文论文
通讯作者Liu, Yuanxin
作者单位1.Taihe Qianyanzhou Ecol Res Ctr, Jian 343700, Peoples R China
2.China Univ Geosci, Sch Land Sci & Technol, Beijing 100083, Peoples R China;
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Qianyanzhou Ecol Res Stn, Beijing 100101, Peoples R China;
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Liu, Zehua,Zhang, Jianjun,Liu, Yuanxin. Revealing the evolution and driving factors of the landscape pattern-ecosystem service-human well-being cascade: Social network and geodetector based analysis[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2026,404:129291.
APA Liu, Zehua,Zhang, Jianjun,&Liu, Yuanxin.(2026).Revealing the evolution and driving factors of the landscape pattern-ecosystem service-human well-being cascade: Social network and geodetector based analysis.JOURNAL OF ENVIRONMENTAL MANAGEMENT,404,129291.
MLA Liu, Zehua,et al."Revealing the evolution and driving factors of the landscape pattern-ecosystem service-human well-being cascade: Social network and geodetector based analysis".JOURNAL OF ENVIRONMENTAL MANAGEMENT 404(2026):129291.

入库方式: OAI收割

来源:地理科学与资源研究所

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