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ABSTRACT: 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.
SUBMITTER: Yang L
PROVIDER: S-EPMC6151258 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
Yang Li L Zhang Baofeng B Wang Xinrui X Ren Yueheng Y Chen Jinlin J Zhang Chao C Xia Yongpeng Y Li Yuankun Y Sun Jianguo J Guo Jiangang J Wang Weijia W Luan XiaoFeng X
PeerJ 20180920
<h4>Background</h4>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.<h4>Methods</h4>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).<h4>Results</h4>We identified 101 species (14 orders, 38 f ...[more]