Land-Use Change, Habitat Connectivity, and Conservation Gaps: A Case Study of Shorebird Species in the Yellow River Delta of China Using the InVEST Model and Network Analysis
文献类型：期刊论文
| 作者 | Duan, Houlang1,2; Yu, Xiubo1,2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-12-01 |
| 卷号 | 14期号:24页码:15 |
| 关键词 | habitat connectivity shorebird habitat patch importance land degradation conservation and management |
| DOI | 10.3390/rs14246191 |
| 通讯作者 | Yu, Xiubo(yuxb@igsnrr.ac.cn) |
| 英文摘要 | Coastal wetlands form a transition zone between terrestrial and marine environments and provide important ecosystem services. Land-use change in the coastal zone has a substantial effect on habitat connectivity and biodiversity. However, few studies have characterized the effects of land-use change on coastal habitat connectivity. We conducted remote sensing analysis, modeling with the Integrated Valuation of Ecosystem Services and Trade-offs model, geospatial analysis, and habitat connectivity analysis to evaluate historical spatiotemporal changes in the habitat quality and habitat connectivity of migratory shorebirds in the Yellow River Delta, which is an important stopover site along the East Asian-Australasian Flyway migratory route. Several high- and medium-quality areas have been converted to industrial mining and mariculture sites because of land reclamation. The probability of connectivity decreased by -66.7% between 1975 and 2020. Approximately 71.0%, 11.6%, and 5.8% of patches with high importance have been converted to non-habitat patches, habitat patches with medium importance, and habitat patches with low importance, respectively; approximately 58.9% and 11.7% of the patches with medium importance have been converted to non-habitat patches and habitat patches with low importance, respectively. The total priority conservation area was 389.4 km(2), and 125.0 km(2) (32.1%) of this area remains unprotected; these unprotected areas are mainly distributed in the northwestern and eastern parts of the Yellow River Delta. We recommend that the boundary of the Yellow River Delta National Nature Reserve be expanded to incorporate these unprotected areas. |
| WOS关键词 | PRIORITY SITES ; WATERBIRDS ; AREAS |
| 资助项目 | National Natural Science Foundation of China[42101105] ; Earth Big Data Scientific Engineering project of Chinese Academy of Sciences[XDA19020305] ; Key Laboratory of Coastal Environmental Processes and Ecological Remediation, YICCAS[2020KFJJ02] ; Earth Big Data Scientific Engineering project of the Chinese Academy of Sciences[XDA19020305] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000904484600001 |
| 资助机构 | National Natural Science Foundation of China ; Earth Big Data Scientific Engineering project of Chinese Academy of Sciences ; Key Laboratory of Coastal Environmental Processes and Ecological Remediation, YICCAS ; Earth Big Data Scientific Engineering project of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/188420]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yu, Xiubo |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modelling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Duan, Houlang,Yu, Xiubo. Land-Use Change, Habitat Connectivity, and Conservation Gaps: A Case Study of Shorebird Species in the Yellow River Delta of China Using the InVEST Model and Network Analysis[J]. REMOTE SENSING,2022,14(24):15. |
| APA | Duan, Houlang,&Yu, Xiubo.(2022).Land-Use Change, Habitat Connectivity, and Conservation Gaps: A Case Study of Shorebird Species in the Yellow River Delta of China Using the InVEST Model and Network Analysis.REMOTE SENSING,14(24),15. |
| MLA | Duan, Houlang,et al."Land-Use Change, Habitat Connectivity, and Conservation Gaps: A Case Study of Shorebird Species in the Yellow River Delta of China Using the InVEST Model and Network Analysis".REMOTE SENSING 14.24(2022):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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