Risk assessment and adaptation technologies for island biodiversity conservation in China under climate change
文献类型：期刊论文
| 作者 | Xia, Ye-Ding2,3,4; Li, Ren-Qiang2; Sun, Jie-Jie4,5; Yu, Shu-Lin2,3; Xu, Ming1,2,4 |
| 刊名 | ADVANCES IN CLIMATE CHANGE RESEARCH
 |
| 出版日期 | 2025-08-01 |
| 卷号 | 16期号:4页码:787-799 |
| 关键词 | China Climate change Sea level rise Adaptation technology Island biodiversity |
| ISSN号 | 1674-9278 |
| DOI | 10.1016/j.accre.2025.06.007 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Islands are critically important but inherently fragile due to their isolation and limited size. Climate change poses escalating threats to island biodiversity, comprehensive and spatially explicit assessments are still limited, hindering the development of targeted adaptation strategies. Here, we integrated species distribution modeling, inundation modeling, extinction risk analysis, and spatial prioritization to assess the risks to China's island biodiversity from climate change. We applied two scenarios & horbar;SSP2-4.5 and SSP5-8.5 & horbar;over 2041-2060, 2061-2080, and 2081-2100 to evaluate the risks to five key taxa, namely amphibians, birds, mammals, reptiles, and vascular plants. Future climate change might result in an extinction rate of 11.6%, 5.5%, 11.9%, 12.0% and 11.9% for amphibians, birds, mammals, reptiles, and vascular plants respectively under the SSP2-4.5 climate change scenario and 19.0%, 8.9%, 20.6%, 19.6% and 20.6% respectively under the SSP5-8.5 scenario. Additionally, 60 and 97 islands under SSP2-4.5 and SSP5-8.5, respectively, are projected to lose at least one major taxonomic group by 2081-2100. High-risk zones, such as the islands near the Pearl River Delta and the Yangtze River Delta, are likely to face greater vulnerability than other islands in China. Our species- and island-specific results provide a scientific basis for developing targeted adaptation technologies, tailored to local island characteristics and species habitat dynamics. Recommended technologies include enhancing coastal engineering and restoring coastal shelter forest for island protection, expanding protected area networks for habitat preservation, and designating target habitat islands to support species relocation for high-risk species. Advanced monitoring technologies, such as AI-driven ecological sensors, are also critical for managing data-deficient and dynamic islands. |
| URL标识 | 查看原文 |
| WOS关键词 | SEA-LEVEL RISE ; EXTINCTION RISK ; SAMPLE-SIZE ; FUTURE ; VULNERABILITY ; URBANIZATION ; PERFORMANCE ; FRAMEWORK ; SERVICES ; IMPACTS |
| WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001565831900001 |
| 出版者 | KEAI PUBLISHING LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/216145]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 通讯作者 | Xu, Ming |
| 作者单位 | 1.Beijing Normal Univ Zhuhai, Adv Inst Nat Sci, BNU HKUST Lab Green Innovat, Zhuhai 519087, Peoples R China; 2.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modelling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 101408, Peoples R China; 4.Guangdong Hong Kong Joint Lab Carbon Neutral, Jiangmen Lab Carbon Sci & Technol, Jiangmen 529199, Guangdong, Peoples R China; 5.Univ British Columbia, Fac Forestry, Dept Forest & Conservat Sci, Vancouver, BC V6T 1Z4, Canada |
| 推荐引用方式 GB/T 7714 | Xia, Ye-Ding,Li, Ren-Qiang,Sun, Jie-Jie,et al. Risk assessment and adaptation technologies for island biodiversity conservation in China under climate change[J]. ADVANCES IN CLIMATE CHANGE RESEARCH,2025,16(4):787-799. |
| APA | Xia, Ye-Ding,Li, Ren-Qiang,Sun, Jie-Jie,Yu, Shu-Lin,&Xu, Ming.(2025).Risk assessment and adaptation technologies for island biodiversity conservation in China under climate change.ADVANCES IN CLIMATE CHANGE RESEARCH,16(4),787-799. |
| MLA | Xia, Ye-Ding,et al."Risk assessment and adaptation technologies for island biodiversity conservation in China under climate change".ADVANCES IN CLIMATE CHANGE RESEARCH 16.4(2025):787-799. |
入库方式： OAI收割
来源：地理科学与资源研究所
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