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Surprising leopard restoration in fragmented ecosystems reveals connections as the secret to conservation success

Authors :
Fu, Yanwen
Zhao, Guojing
Dai, Wenqian
Wang, Yue
Li, Jiawei
Tan, Mengyu
Li, Yan
Liu, Haoran
Xie, Bing
Jin, Xiao
Fan, Enyu
Zhao, Lulu
Cao, Jian
Yue, Lei
Wu, Chenghao
Chen, Yongfeng
Chen, Guoqiang
Zhang, Yong
Luo, Kezi
Yang, Haitao
Han, Xuemei
Ge, Jianping
Zhu, Jun
Feng, Limin
Source :
Science of The Total Environment. 858:159790
Publication Year :
2023
Publisher :
Elsevier BV, 2023.

Abstract

The Chinese Loess Plateau has been the cradle of Chinese civilization and the main human settlement in China for thousands of years, where anthropogenic activities are believed to have deeply eroded natural landscapes. After decades of minimal leopard sighting in forests of northern China, due to serious human interference, we recently discovered that the leopard population is recovering. This finding provides hope for successful biodiversity conservation in human-dominated ecosystems. To understand the mechanism of leopard return into such a highly fragmented landscape, we applied the concept of ecological networks (ENs) to identify key factors promoting leopard restoration and quantify the ecological links among habitats. We first determined the existence of a healthy leopard population in the study area based on the size of its home range and presence of breeding individuals. We then innovatively used the relationship between species richness and top predators to generate ENs, and found that the connectivity of ENs had a significant positive interaction with leopard survival. Our study validates the effectiveness of establishing ecologically connected habitats for leopard protection, and highlights the importance of applying ENs for conservation planning in highly fragmented ecosystems. This study provides a successful case for the protection of top predators in human-dominated landscapes.

Details

ISSN :
00489697
Volume :
858
Database :
OpenAIRE
Journal :
Science of The Total Environment
Accession number :
edsair.doi.dedup.....e13c4e6294fa307188f3bbc11fdc31d4
Full Text :
https://doi.org/10.1016/j.scitotenv.2022.159790