| PeerJ | |
| Gap analysis and implications for seasonal management on a local scale | |
| article | |
| Li Yang1  Baofeng Zhang1  Xinrui Wang1  Yueheng Ren4  Jinlin Chen5  Chao Zhang1  Yongpeng Xia1  Yuankun Li6  Jianguo Sun6  Jiangang Guo6  Weijia Wang6  XiaoFeng Luan1  | |
| [1] School of Nature Conservation, Beijing Forestry University;Zoological Society of London, IUCN SSC Pangolin Specialist Group London;School of Life Science, Sun Yat-sen University;Chinese Research Academy of Environmental Sciences;School of Life Sciences, Beijing Peking University;Hebei Wulingshan National Nature Reserve | |
| 关键词: Protected area; Local scale; ENM; | |
| DOI : 10.7717/peerj.5622 | |
| 学科分类:社会科学、人文和艺术(综合) | |
| 来源: Inra | |
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【 摘 要 】
Background Identifying biodiversity hotspots on a local scale, using multiple data sources, and ecological niche modeling, has the potential to contribute to more effective nature reserve management. Methods In this study, we used infrared-triggered camera trapping, field surveys, and interviews to create a dataset on the distribution of species (mammals and birds) in Hebei Wulingshan Nature Reserve (Hebei Province, China). Results We identified 101 species (14 orders, 38 families), 64 of which (2,142 effective records) were selected for environmental niche modeling. All results were reclassified into three groups: “priority areas” (areas including the potential distributions of over 80% of species), “important areas” (those with 50% of species), and “normal areas” (all other areas). Our results show that priority areas (1.31–1.82 km2) and important areas (7.73–21.44 km2) for conservation were mainly covered by the core and experimental zones of the reserve; additionally, a kilometer-wide margin around the outside of the nature reserve seems to be important to maintaining biodiversity. Discussion We close by suggesting some actions for enhancing conservation of biodiversity in the reserve, including monitoring, strengthen law enforcements, introducing popular science, and co-operating with local people.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202307100011725ZK.pdf | 3573KB |
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