College of Earth and Environmental Sciences, Center for Glacier and Desert Research, Scientific Observing Station for Desert and Glacier, Lanzhou University, Lanzhou 730000, China.
Sci Total Environ. 2024 Mar 1;914:169803. doi: 10.1016/j.scitotenv.2023.169803. Epub 2024 Jan 4.
The wild yak (Bos mutus) is a cold-tolerant herbivore native to the Tibetan Plateau and has been categorized as vulnerable by the International Union for Conservation of Nature and Natural Resources. Low population densities within currently fragmented habitats and unclear landscape conservation priorities warrant attention. Herein, we employed the maximum entropy (MaxEnt) model using over 900 wild yak occurrence records to model wild yak habitat suitability. Our analysis revealed unprotected wild yak landscapes covering 30.79 % of the habitat area, indicating a conservation gap between protected areas (PAs) and wild yak habitats. To protect metapopulation dynamics and mitigate high risks of poaching, habitat degradation and fragmentation, resource competition, and degenerated genetic characterization of wild yaks in fragmented and degraded habitat, we identified eight habitat patches as landscape conservation units (LCUs) and 14 linkages among the LCUs, enhancing the connectivity between LCUs to decrease negative effects of genetic threats. A centrality analysis demonstrated that Changtang, Arjinshan, and Hoh Xil national nature reserves and their linkages are all critical for the maintenance of habitat connectivity. Here, we suggest that habitat- and LCU-specific conservation strategies should be highlighted during the establishment of PAs and transboundary cooperation. Ultimately, our results can assist conservationists and land managers in comprehending wild yak distribution, movement, and habitat requirements, as well as for the development of effective protection strategies. Furthermore, the combined modeling method (MaxEnt-Zonation-InVEST) could be utilized as a component for identifying conservation priorities and linkages between core patches for species and assessing the efficiency of PAs, core habitats, and corridors in achieving conservation goals. Our study can provide a framework in identifying priority conservation and connectivity between habitat patches to facilitate effectively conservation and genetic resilience for endangered species in fragmented habitats.
野生牦牛(Bos mutus)是一种耐寒的草食动物,原产于青藏高原,被国际自然保护联盟(IUCN)列为易危物种。目前,栖息地的碎片化导致野生牦牛种群密度较低,景观保护重点也不明确,需要引起关注。本研究采用最大熵(MaxEnt)模型,利用 900 多条野生牦牛的发生记录来模拟野生牦牛的栖息地适宜性。分析结果表明,未受保护的野生牦牛景观面积占栖息地面积的 30.79%,这表明保护区(PA)和野生牦牛栖息地之间存在保护缺口。为了保护野生牦牛的复合种群动态,降低偷猎、栖息地退化和破碎化、资源竞争以及退化遗传特征的高风险,我们确定了 8 个栖息地斑块作为景观保护单元(LCU),并确定了 LCUs 之间的 14 个连接,增强了 LCUs 之间的连通性,以减少遗传威胁的负面影响。中心性分析表明,羌塘、阿尼玛卿山和可可西里国家级自然保护区及其连接地带对于维持栖息地连通性至关重要。在此,我们建议在建立保护区和跨境合作时,应强调针对栖息地和 LCU 的保护策略。最终,我们的研究结果可以帮助保护主义者和土地管理者了解野生牦牛的分布、运动和栖息地需求,以及制定有效的保护策略。此外,综合建模方法(MaxEnt-Zonation-InVEST)可用于确定物种核心斑块的保护优先级和连接,评估保护区、核心栖息地和走廊在实现保护目标方面的效率。本研究可以为确定优先保护和栖息地斑块之间的连通性提供一个框架,以促进碎片化生境中濒危物种的有效保护和遗传恢复。