濒危物种
IUCN红色名录
栖息地
生态学
消光(光学矿物学)
栖息地破坏
地理
生物多样性
伞种
濒危物种
生境破碎化
生态位
利基
栖息地保护
脆弱性(计算)
生物多样性热点
集合种群
物种丰富度
全球生物多样性
保护生物学
环境生态位模型
生态系统
全球变化
消灭债务
关键栖息地
保护依赖物种
近危物种
生物
局部消光
脆弱物种
物种分布
环境变化
作者
Wu, Zhaoning,Wang, Jiechen,Liu, Yunzhi,Wu, He,Xu, Ziyi
标识
DOI:10.6084/m9.figshare.26424253.v1
摘要
Protecting critical habitats globally is essential to buffer threatened species from extinction due to anthropogenic stressors. However, limited understanding of the global distribution patterns of habitats for threatened terrestrial vertebrates and their associated habitat hotspots hinders efforts aimed at assessing biodiversity vulnerability and developing targeted conservation strategies. In this study, we integrated spatial data from the IUCN Red List with a deep learning approach to evaluate habitat distribution for 4,851 threatened species and construct a global niche interaction network. These habitat hotspots cover only 4% of the terrestrial surface but encompass 67.9% of all analyzed species. While vast unoccupied habitats exist, 76.8% of them remain geographically isolated by continental or oceanic barriers and are significantly affected by human pressures. Species at higher risk of extinction often have a larger proportion of unoccupied habitats, but geographic isolation limits these ecological opportunities. We identified regions where unoccupied habitats are concentrated and have long-term persistence potential. Furthermore, the continued loss of native habitats for species inhabiting islands or continental margins due to human pressures may accelerate the widespread homogenization of global niches, underscoring the rarity and irreplaceability of these fragile habitats. Our global assessment provides useful perspectives on sustainable conservation planning.
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