Anthropogenic and climatic drivers of population densities in an African savanna ungulate community

Lukas Bierhoff, M. Bond, A. Ozgul, Derek E. Lee
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Abstract

Many ungulate species in Africa range in habitats that vary in type and quality over space and time, but ongoing environmental change is substantially altering their habitats. Identifying key environmental variables that regulate ungulate population densities can guide management actions for effective conservation. We studied the local population density responses of a community of sympatric ungulate species in the Tarangire Ecosystem of northern Tanzania, to a suite of environmental factors that vary over space and time, to quantify population trends, determine the primary environmental correlates of densities, and identify covariation in densities among species. We estimated seasonal densities of five commonly detected species (impala, dik–dik, Grant's gazelle, eland, and waterbuck) based on 7 years of distance‐sampling data from 41 replicate surveys of 237 line transects. We systematically analyzed the effects of spatial, seasonal, and annual environmental covariates on variation in transect species‐specific densities across space and time. Large fluctuations in climatic factors mediated highly synchronous temporal density variation among all species. We documented more spatial than temporal variation in four of the five species, suggesting that spatial heterogeneity may provide some buffer against temporal variation in the environment. Protection of sufficient habitats and water sources should allow ungulates to respond to a temporally changing world by moving across space. Further, among‐species covariation patterns identified two potential ungulate guilds (impala—dik–dik—waterbuck; eland—Grant's gazelle) that should aid in developing efficient and coordinated management actions.
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非洲热带草原有蹄类动物群落种群密度的人为和气候驱动因素
非洲许多有蹄类动物的栖息地类型和质量随时间和空间而变化,但持续的环境变化正在极大地改变它们的栖息地。确定调节蹄类动物种群密度的关键环境变量可以指导管理行动,从而有效地保护蹄类动物。我们研究了坦桑尼亚北部塔兰吉雷生态系统中一个同域蹄类动物群落的当地种群密度对一系列随时间和空间变化的环境因素的响应,以量化种群趋势,确定密度的主要环境相关因素,并识别物种间密度的共变。我们根据 7 年来 41 次重复调查 237 条线路横断面的距离采样数据,估算了 5 种常见物种(黑斑羚、羚牛、格兰特瞪羚、伊兰特和水鹿)的季节性密度。我们系统分析了空间、季节和年度环境协变量对横断面物种特异性密度跨时空变化的影响。气候因素的大幅波动介导了所有物种之间高度同步的时间密度变化。在五个物种中,我们发现四个物种的空间变化大于时间变化,这表明空间异质性可能对环境的时间变化提供了一定的缓冲作用。保护足够的栖息地和水源应使有蹄类动物能够通过跨空间移动来应对时间上不断变化的世界。此外,物种间的共变模式确定了两个潜在的有蹄类动物行会(黑斑羚-羚牛-水鸭;羚牛-格兰瞪羚),这些行会应有助于制定高效、协调的管理行动。
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