Berti Emilio, Rosenbaum Benjamin, Vollrath Fritz
EcoNetLab, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
Institute of Biodiversity, Friedrich-Schiller-University Jena, Jena, Germany.
J Anim Ecol. 2025 May;94(5):908-918. doi: 10.1111/1365-2656.70023. Epub 2025 Mar 25.
The movements of animals affect biodiversity, ecological processes, and the resilience of an ecosystem. Movements carry both costs and benefits, and the use of a given landscape provides important insights into an animal's behavioural ecology and decision processes, as well as elucidating ecosystem complexity and informing conservation measures that are ever more important in the age of rapid global changes. The mobility and habitat preferences of African savanna elephants (Loxodonta africana) offer a good example to explore the concept of 'energy landscapes', that is, the interplay between the cost of locomotion and vegetation productivity, balanced by topography, availability of water and human presence and pressures. Our results, building on tracking data from 157 individuals collected between 1998 and 2020 in Northern Kenya, show that energy landscapes explained the elephants' usage of the landscape. In particular, we found that individuals generally avoided energetically costly areas and preferred highly productive habitats. We also found that water availability is important in determining habitat usage, but that its effect varied greatly among elephants, with some individuals preferring habitats avoided by others. Our analysis highlights the importance of the energy landscape as a key driver of habitat preferences of elephants. Energy landscapes rely on fundamental biomechanical and physical principles and provide a mechanistic understanding of the observed preference patterns, allowing us to disentangle key causal drivers of an animal's preferences from correlational effects. This, in turn, has important implications for assessing and planning conservation and restoration measures, such as dispersal corridors, by explicitly accounting for the energy costs of moving.
动物的移动会影响生物多样性、生态过程以及生态系统的恢复力。移动既有成本也有收益,动物对特定景观的利用能为其行为生态学和决策过程提供重要见解,还能阐明生态系统的复杂性,并为在全球快速变化时代日益重要的保护措施提供依据。非洲草原象(Loxodonta africana)的移动性和栖息地偏好为探索“能量景观”概念提供了一个很好的例子,即运动成本与植被生产力之间的相互作用,并受到地形、水源可利用性以及人类存在和压力的平衡影响。我们基于1998年至2020年在肯尼亚北部收集的157头大象的追踪数据得出的结果表明,能量景观可以解释大象对景观的利用情况。具体而言,我们发现个体通常会避开能量消耗大的区域,而偏好高生产力的栖息地。我们还发现水源可利用性在决定栖息地利用方面很重要,但其影响在大象个体间差异很大,有些个体偏好其他个体避开的栖息地。我们的分析突出了能量景观作为大象栖息地偏好关键驱动因素的重要性。能量景观依赖于基本的生物力学和物理原理,能对观察到的偏好模式提供机械性理解,使我们能够从相关效应中梳理出动物偏好的关键因果驱动因素。反过来,这对于评估和规划保护与恢复措施(如扩散走廊)具有重要意义,因为可以明确考虑移动的能量成本。