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Movement Ecology Special Feature: Fractal reorientation clocks: Linking animal behavior to statistical patterns of search

机译:运动生态学专题:分形重新定向时钟:将动物行为与统计搜索模式联系起来

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摘要

The movement ecology framework depicts animal movement as the result of the combined effects of internal and external constraints on animal navigation and motion capacities. Nevertheless, there are still fundamental problems to understand how these modulations take place and how they might be translated into observed statistical properties of animal trajectories. Of particular interest, here, is the general idea of intermittence in animal movement. Intermittent locomotion assumes that animal movement is, in essence, discrete. The existence of abrupt interruptions in an otherwise continuous flow of movement allows for the possibility of reorientations, that is, to break down previous directional memories of the trajectory. In this study, we explore the potential links between intermittent locomotion, reorientation behavior, and search efficiency. By means of simulations we show that the incorporation of Lévy intermittence in an otherwise nonintermittent search strongly modifies encounter rates. The result is robust to different types of landscapes (i.e., target density and spatial distribution), and spatial dimensions (i.e., 2D, 3D). We propose that Lévy intermittence may come from reorientation mechanisms capable of organizing directional persistence on time (i.e., fractal reorientation clocks), and we rationalize that the explicit distinction between scanning and reorientation mechanisms is essential to make accurate statistical inferences from animal search behavior. Finally, we provide a statistical tool to judge the existence of episodic and strong reorientation behaviors capable of modifying relevant properties of stochastic searches, ultimately controlling the chances of finding unknown located items.
机译:运动生态学框架将动物运动描述为内部和外部约束条件对动物航行和运动能力的综合影响的结果。但是,仍然存在一些基本问题,难以理解这些调制如何发生以及如何将其转化为观察到的动物轨迹的统计特性。在这里,特别有趣的是动物运动间歇性的一般概念。间歇运动假设动物运动本质上是离散的。在原本连续的运动流中突然中断的存在允许重新定向的可能性,也就是说,破坏了先前的轨迹定向记忆。在这项研究中,我们探讨了间歇运动,重新定向行为和搜索效率之间的潜在联系。通过模拟,我们证明了将Lévy间歇性纳入到其他非间歇性搜索中会极大地改善遇到率。结果对于不同类型的景观(即目标密度和空间分布)和空间尺寸(即2D,3D)具有鲁棒性。我们建议Lévy间断可能来自能够组织时间方向性持久性的重新定向机制(即分形重新定向时钟),并且我们合理地认为,扫描和重新定向机制之间的显式区别对于从动物搜索行为做出准确的统计推断至关重要。最后,我们提供了一种统计工具来判断是否存在偶发性和强重定向行为,这些行为能够修改随机搜索的相关属性,最终控制发现未知物品的机会。

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