Teitelbaum Claire S, Altizer Sonia, Hall Richard J
Odum School of Ecology, University of Georgia, Athens, GA, USA.
Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.
J Anim Ecol. 2020 Nov;89(11):2644-2656. doi: 10.1111/1365-2656.13318. Epub 2020 Sep 13.
In environments that vary unpredictably, many animals are nomadic, moving in an irregular pattern that differs from year to year. Exploring the mechanisms of nomadic movement is needed to understand how animals survive in highly variable environments, and to predict behavioural and population responses to environmental change. We developed a network model to identify plausible mechanisms of nomadic animal movement by comparing the performance of multiple movement rules along a continuum from nomadism to residency. Using simulations and analytical results, we explored how different types of habitat modifications (that augment or decrease resource availability) might affect the abundance and movement rates of animals following each of these rules. Movement rules for which departure from patches depended on resource availability and/or competition performed almost equally well and better than residency or uninformed movement under most conditions, even though animals using each rule moved at substantially different rates. Habitat modifications that stabilized resources, either by resource supplementation or degradation, eroded the benefits of informed nomadic movements, particularly for movements based on resource availability alone. These results suggest that simple movement rules can explain nomadic animal movements and determine species' responses to environmental change. In particular, landscape stabilization and supplementation might be useful strategies for promoting populations of resident animals, but would be less beneficial for managing highly mobile species, many of which are threatened by habitat disruption and changes in climate.
在变化无常的环境中,许多动物是游牧性的,以一种每年都不同的不规则模式移动。探索游牧运动的机制对于理解动物如何在高度多变的环境中生存,以及预测行为和种群对环境变化的反应是必要的。我们开发了一个网络模型,通过比较从游牧到定居的连续过程中多种移动规则的性能,来识别游牧动物移动的合理机制。利用模拟和分析结果,我们探讨了不同类型的栖息地改变(增加或减少资源可用性)如何影响遵循这些规则的动物的数量和移动速率。在大多数情况下,那些离开斑块取决于资源可用性和/或竞争的移动规则表现几乎同样出色,并且比定居或无信息移动更好,尽管使用每种规则的动物移动速度有很大差异。通过资源补充或退化来稳定资源的栖息地改变,削弱了有信息的游牧移动的好处,特别是对于仅基于资源可用性的移动。这些结果表明,简单的移动规则可以解释游牧动物的移动,并确定物种对环境变化的反应。特别是,景观稳定和补充可能是促进定居动物种群的有用策略,但对于管理高度移动的物种益处较小,其中许多物种受到栖息地破坏和气候变化的威胁。