中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Transboundary ecological network identification for addressing conservation priorities and landscape ecological risks: Insights from the Altai Mountains

文献类型:期刊论文

作者An, Li1,3; Shen, Lei1,2,3,4; Zhong, Shuai1,2,3,4; Li, Delong1,2,3,4
刊名ECOLOGICAL INDICATORS
出版日期2023-12-01
卷号156页码:16
关键词Transboundary conservation Ecological network Landscape ecological risk Ecosystem service synergies Protected area
ISSN号1470-160X
DOI10.1016/j.ecolind.2023.111159
通讯作者Shen, Lei(shenl@igsnrr.ac.cn) ; Li, Delong(lidelong@igsnrr.ac.cn)
英文摘要Insufficient conservation measures and intense human disturbances gave rise to severe landscape ecological risks (LERs) in transboundary areas, highlighting the significance of transboundary ecological networks to maintain ecological functions and landscape integrity. However, previous studies mainly concerned ecological networks in inner regions of a country, and various risk factors remain to be incorporated into ecological network identification to clarify the priorities for transboundary conservation. In this study, we took the Altai Mountains in the transboundary areas of China, Kazakhstan, Russia, and Mongolia as the study area, and identified transboundary ecological networks by integrating LER assessment, ecosystem service evaluation and circuit theory. The results showed that the LER was spatially heterogenous with salient risk exposure in China and Mongolia, and risk disturbance was mainly aggregated in Russia. The identified transboundary ecological networks included ecological sources with an area of 1.6 x 105 km2 and ecological corridors with a total length of 1.1 x 104 km, densely distributed in Russia and Kazakhstan. The area proportion of ecological sources not covered by existing protected areas reached 53.8 %, indicating priorities for further conservation. We put forward management zoning in different LER grades to better support conservation actions on ecological sources. Furthermore, suggestions were proposed to conserve ecological corridors in typical landscapes of the Altai Mountains. The results of this study can facilitate transboundary conservation plannings and policies in the Altai Mountains. Simultaneously, it also provides a reference for effective conservation of risked ecosystems and landscapes in other transboundary areas.
WOS关键词ECOSYSTEM SERVICES ; CIRCUIT-THEORY ; CLIMATE-CHANGE ; TRADE-OFFS ; CONNECTIVITY ; BIODIVERSITY ; CORRIDORS ; SYNERGIES ; AREAS
资助项目Foundation of China[42071281] ; Key Program of International Cooperation, Bureau of International Cooperation, Chinese Academy of Sciences[131551KYSB20210030] ; Project of China Geological Survey[DD20230558]
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001108769400001
出版者ELSEVIER
资助机构Foundation of China ; Key Program of International Cooperation, Bureau of International Cooperation, Chinese Academy of Sciences ; Project of China Geological Survey
源URL[http://ir.igsnrr.ac.cn/handle/311030/200360]  
专题中国科学院地理科学与资源研究所
通讯作者Shen, Lei; Li, Delong
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.CAS HEC, China Pakistan Joint Res Ctr Earth Sci, Islamabad 45320, Pakistan
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
4.Minist Nat Resources Peoples Republ China, Key Lab Carrying Capac Assessment Resource & Envir, Beijing 101149, Peoples R China
推荐引用方式
GB/T 7714
An, Li,Shen, Lei,Zhong, Shuai,et al. Transboundary ecological network identification for addressing conservation priorities and landscape ecological risks: Insights from the Altai Mountains[J]. ECOLOGICAL INDICATORS,2023,156:16.
APA An, Li,Shen, Lei,Zhong, Shuai,&Li, Delong.(2023).Transboundary ecological network identification for addressing conservation priorities and landscape ecological risks: Insights from the Altai Mountains.ECOLOGICAL INDICATORS,156,16.
MLA An, Li,et al."Transboundary ecological network identification for addressing conservation priorities and landscape ecological risks: Insights from the Altai Mountains".ECOLOGICAL INDICATORS 156(2023):16.

入库方式: OAI收割

来源:地理科学与资源研究所

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