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Leopard population density varies across habitats and management strategies in a mixed-use Tanzanian landscape

机译:豹子种群密度在混合使用坦桑尼亚景观中遇到栖息地和管理策略各不相同

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With large carnivores undergoing widespread range contractions across Africa, effective monitoring across mixed-use landscapes should be considered a priority to identify at-risk populations and prioritise conservation actions. We provide the first comparison of leopard population density within different components of a mixeduse landscape in Tanzania, via spatially explicit capture-recapture (SECR) modelling of camera trap data from the Ruaha-Rungwa landscape in 2018 and 2019. Population density was highest in highly-productive Acacia-Commiphora habitat in the core tourist area of Ruaha National Park (6.81 +/- 1.24 leopards per 100 km2). The next highest density (4.23 +/- 1.02 per 100 km2) was estimated in similar habitat in a neighbouring communitymanaged area (Idodi-Pawaga MBOMIPA WMA). Lowest densities were estimated in miombo (BrachystegiaJubelnardia) woodland habitat, both in a trophy hunting area (Rungwa Game Reserve; 3.36 +/- 1.09 per 100 km2) and inside the National Park (3.23 +/- 1.25 per 100 km2). Population density was highly correlated with prey abundance, suggesting that variation in leopard density may be primarily driven by availability of prey, which likely varies with habitat types and anthropogenic impacts. Anthropogenic mortality may also have a direct influence on leopard in more impacted areas, but further research is required to investigate this. Our findings show that a hunting area with significant protection investment supports a leopard density comparable to similar habitat in a photographic tourism area. We also provide evidence that community-managed areas have the potential to effectively conserve large carnivore populations at relatively high densities, but may be vulnerable to edge effects.
机译:随着跨非洲的广泛范围收缩的大型食肉动物,跨越混合使用景观的有效监测应被视为识别风险群体和优先考虑保护行动的优先考虑。我们通过空间显式捕获(SEC)2018年和2019年Ruaha-Rungwa景观的空间显式捕获(SEC)建模达到坦桑尼亚混合景观的不同组成部分中的豹子种群密度的第一次比较。人口密度高度最高 - Ruaha National Park核心旅游区的研发acacia-commiphora栖息地(每100公里每100公里的豹子6.81 +/- 1.24)。在邻近的社区管理区(IDodi-Pawaga MBOMIPA WMA)中的类似栖息地估计了下一个最高密度(每100 km2的4.23 +/- 1.02)。 Miombo(Brachystegiajubelnardia)林地栖息地估计最低的密度,无论是奖杯狩猎区人口密度与猎物丰富高度相关,表明豹子密度的变化可以主要由捕食的可用性驱动,这可能因栖息地类型和人为的影响而变化。人为死亡率也可能对更受影响的区域进行直接影响豹纹,但需要进一步研究来调查这一点。我们的调查结果表明,具有重要保护投资的狩猎区域支持与摄影旅游区相似的栖息地相当的豹子密度。我们还提供了证据,社区管理领域有可能有效地将大的肉食群体以相对高的密度保存,但可能易于攻击边缘效应。

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