Beauchamp G, Ruxton G D
Faculty of Veterinary Medicine, University of Montreal, St-Hyacinthe, Quebec, Canada.
School of Biological Sciences, University of St-Andrews, United Kingdom.
J Theor Biol. 2016 Feb 7;390:86-96. doi: 10.1016/j.jtbi.2015.11.015. Epub 2015 Nov 30.
Many prey species alternate between bouts of foraging and bouts of antipredator vigilance. Models of vigilance typically predict how much total time prey animals should allocate to vigilance but do not specify how that time should be scheduled throughout foraging. Here, we examine how the scheduling of vigilance pays off in terms of food intake and predator detection. Specifically, we study how changes in ecological factors affect the expected duration of scans to look out for predators and the duration of interscan intervals dedicated to foraging. Our framework includes factors like the risk of attack, how difficult it is to locate food and predators, and the distance to protective cover. Our individual-based model makes several predictions about scan and interscan durations, which are discussed in relation to the available empirical evidence in birds and mammals. This model of antipredator vigilance is a first step in incorporating constraints related to food gathering and the detection of predators. Adding such constraints adds a novel dimension to vigilance models and produces a variety of predictions that await empirical scrutiny.
许多猎物物种在觅食阶段和反捕食警惕阶段之间交替。警惕模型通常预测猎物动物应将多少总时间分配给警惕,但未具体说明该时间应如何在整个觅食过程中安排。在此,我们研究警惕的安排在食物摄入和捕食者检测方面如何产生回报。具体而言,我们研究生态因素的变化如何影响留意捕食者的扫描预期持续时间以及用于觅食的扫描间隔持续时间。我们的框架包括诸如攻击风险、定位食物和捕食者的难度以及到保护掩体的距离等因素。我们基于个体的模型对扫描和扫描间隔持续时间做出了若干预测,并结合鸟类和哺乳动物的现有实证证据进行了讨论。这种反捕食警惕模型是纳入与食物采集和捕食者检测相关约束的第一步。添加此类约束为警惕模型增添了一个新维度,并产生了各种有待实证检验的预测。