Center for Ecosystem Sentinels, Department of Biology, University of Washington, Seattle, WA 98195, USA.
Department of Zoology and Physiology, University of Wyoming, Laramie, WY 82071, USA; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany; Department of Biology, University of Konstanz, 78464 Konstanz, Germany; Centre for the Advanced Study of Collective Behaviour, University of Konstanz, 78464 Konstanz, Germany.
Trends Ecol Evol. 2021 Apr;36(4):308-320. doi: 10.1016/j.tree.2020.10.018. Epub 2020 Nov 20.
Resource tracking, where animals increase energy gain by moving to track phenological variation in resources across space, is emerging as a fundamental attribute of animal movement ecology. However, a theoretical framework to understand when and where resource tracking should occur, and how resource tracking should lead to emergent ecological patterns, is lacking. We present a framework that unites concepts from optimal foraging theory and landscape ecology, which can be used to generate and test predictions on how resource dynamics shape animal movement across taxa, systems, and scales. Consideration of the interplay between animal movement and resource dynamics not only advances ecological understanding but can also guide biodiversity conservation in an era of global change.
资源追踪是指动物通过移动来追踪资源在空间上的物候变化,从而增加能量获取,这正在成为动物运动生态学的一个基本特征。然而,目前缺乏一个理论框架来理解资源追踪应该在何时何地发生,以及资源追踪应该如何导致新出现的生态模式。我们提出了一个框架,它结合了最优觅食理论和景观生态学的概念,可用于生成和测试关于资源动态如何塑造跨分类群、系统和尺度的动物运动的预测。考虑动物运动和资源动态之间的相互作用不仅可以提高生态理解,还可以在全球变化时代指导生物多样性保护。