中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Optimizing zonal management framework suitable for mountain ecosystems by linking landscape, ecosystem service capacities and bundles nested

文献类型:期刊论文

作者Hao, Yunqi1,2; Lu, Yihe1,2; Dang, Hui1,2; Lu, Da2,3; Du, Chenjun2,4; Wang, Yi1,2; Wang, Luning1,5; Wang, Xiaofeng6; Li, Xuan1; Fu, Bojie1,2
刊名JOURNAL OF ENVIRONMENTAL MANAGEMENT
出版日期2025-08-01
卷号389页码:125998
关键词Mountain ecosystem service Socio-ecological drivers Landscape management Qinling mountains
ISSN号0301-4797
DOI10.1016/j.jenvman.2025.125998
产权排序3
文献子类Article
英文摘要Ecosystem service (ES)-oriented spatial optimization can contribute to regional well-being, especially for mountain ecosystems carrying multiple ES capacities. However, existing studies on mountain ecosystem services (MESs) predominantly address gradient dynamics, yet fail to incorporate landscape as a socio-ecological nexus, which hinders their practical application in spatial planning. Therefore, we proposed a spatial optimization strategy, leveraging landscape to strengthen the process from ES science to practical management in the Qinling Mountain (QLM), China. Landscape Naturalness Composite Index (LNCI) was drawn on as a continuous metric to symbolize the gradient of mountainous landscape configuration driven by social-ecological interaction. Spatiotemporal change and attribution analysis of MESs were also conducted to corroborate the final management, considering carbon sequestration (CS), modified habitat quality (HQ), and soil conservation (SC) from 1990 to 2020. We find that the three critical MESs synergistically increased over 31 years. Among them, HQ and CS increased stepwise under the context of ecological programs, but SC fluctuates dominated by rainfall. Holistically, agricultural intensification and urban development alleviated remote human-land conflicts, indicating that the improvement in MESs coincided with increases in the urban-rural population ratio and food production (FP). A mountain regulation baseline (MRB) was identified by landscape threshold, covering 44.39 % of the QLM, which can help to address a range of issues in mountain conservation. We proposed a two-tier nested zonal management framework, leveraging landscape to connect MRB and multifunctionality characterized by ES bundles. Our framework has benefits for informing adequate implications on management practices of global mountain ecosystems.
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WOS关键词BIODIVERSITY ; SCIENCE ; RESTORATION ; DEMAND ; POLICY ; MODEL ; FLOW ; DYNAMICS ; ECOLOGY ; REGION
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001506794900001
出版者ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/214517]  
专题陆地表层格局与模拟院重点实验室_外文论文
通讯作者Lu, Yihe
作者单位1.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Reg & Urban Ecol, Beijing 100085, Peoples R China;
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China;
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Lhasa Plateau Ecosyst Res Stn, Beijing 100101, Peoples R China;
5.Yunnan Univ, Inst Int Rivers & Ecosecur, Kunming 650500, Peoples R China;
6.Changan Univ, Sch Land Engn, Xian 710054, Peoples R China
推荐引用方式
GB/T 7714
Hao, Yunqi,Lu, Yihe,Dang, Hui,et al. Optimizing zonal management framework suitable for mountain ecosystems by linking landscape, ecosystem service capacities and bundles nested[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2025,389:125998.
APA Hao, Yunqi.,Lu, Yihe.,Dang, Hui.,Lu, Da.,Du, Chenjun.,...&Fu, Bojie.(2025).Optimizing zonal management framework suitable for mountain ecosystems by linking landscape, ecosystem service capacities and bundles nested.JOURNAL OF ENVIRONMENTAL MANAGEMENT,389,125998.
MLA Hao, Yunqi,et al."Optimizing zonal management framework suitable for mountain ecosystems by linking landscape, ecosystem service capacities and bundles nested".JOURNAL OF ENVIRONMENTAL MANAGEMENT 389(2025):125998.

入库方式: OAI收割

来源:地理科学与资源研究所

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