Swansea Laboratory for Animal Movement, Biosciences, College of Science, Swansea University, Singleton Park, Swansea SA2 8PP, Wales, UK.
Am Nat. 2013 Sep;182(3):298-312. doi: 10.1086/671257. Epub 2013 Jul 15.
The metabolic costs of animal movement have been studied extensively under laboratory conditions, although frequently these are a poor approximation of the costs of operating in the natural, heterogeneous environment. Construction of "energy landscapes," which relate animal locality to the cost of transport, can clarify whether, to what extent, and how movement properties are attributable to environmental heterogeneity. Although behavioral responses to aspects of the energy landscape are well documented in some fields (notably, the selection of tailwinds by aerial migrants) and scales (typically large), the principles of the energy landscape extend across habitat types and spatial scales. We provide a brief synthesis of the mechanisms by which environmentally driven changes in the cost of transport can modulate the behavioral ecology of animal movement in different media, develop example cost functions for movement in heterogeneous environments, present methods for visualizing these energy landscapes, and derive specific predictions of expected outcomes from individual- to population- and species-level processes. Animals modulate a suite of movement parameters (e.g., route, speed, timing of movement, and tortuosity) in relation to the energy landscape, with the nature of their response being related to the energy savings available. Overall, variation in movement costs influences the quality of habitat patches and causes nonrandom movement of individuals between them. This can provide spatial and/or temporal structure to a range of population- and species-level processes, ultimately including gene flow. Advances in animal-attached technology and geographic information systems are opening up new avenues for measuring and mapping energy landscapes that are likely to provide new insight into their influence in animal ecology.
动物运动的代谢成本在实验室条件下已经得到了广泛的研究,尽管这些研究通常与在自然、异质环境中运行的成本相差甚远。构建“能量景观”(energy landscape),将动物的位置与运输成本联系起来,可以清楚地表明运动特性在多大程度上归因于环境异质性,以及运动特性是如何归因于环境异质性的。尽管在某些领域(特别是空中迁徙者对顺风的选择)和尺度(通常是大尺度)下,动物对能量景观各个方面的行为反应都有很好的记录,但能量景观的原则适用于不同的栖息地类型和空间尺度。我们简要总结了环境驱动的运输成本变化调节动物运动行为生态学的机制,为异质环境中的运动开发了示例成本函数,展示了可视化这些能量景观的方法,并从个体到种群和物种水平的过程中得出了预期结果的具体预测。动物通过一系列运动参数(例如,路线、速度、运动时间和曲折度)来调节运动,其响应的性质与可用的能量节省有关。总的来说,运动成本的变化会影响栖息地斑块的质量,并导致个体在它们之间的非随机运动。这可以为一系列种群和物种水平的过程提供空间和/或时间结构,最终包括基因流。动物附着技术和地理信息系统的进步为测量和绘制能量景观开辟了新的途径,这可能为它们在动物生态学中的影响提供新的见解。