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arXiv 1402.1802q-bio.QMq-bio.PE
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一个统一的框架,用于量化动物相互作用的性质

A unifying framework for quantifying the nature of animal interactions

Jonathan R. Potts, Karl Mokross, Mark A. Lewis

摘要:

集体现象,即主体间的相互作用决定空间模式,在动物王国中无处不在。另一方面,运动和空间利用也受到动物与环境之间相互作用的极大影响。尽管这两种类型的相互作用从根本上影响动物的行为,迄今为止还没有统一的框架,在这两个领域提出的模型。在这里,我们构建了一个一般的方法来推断人口水平的空间格局,从底层的个人运动和相互作用的过程中,在建立一个统计力学生态系统的一个关键因素。我们表明,资源选择功能,以及集体运动模型的几个例子,出现作为我们的框架的特殊情况下,从而将资源选择分析和集体动物行为到一个单一的理论。特别是,我们专注于结合在文献中的领土相互作用的各种机械模型与步骤选择功能,通过将相互作用的步骤选择框架,并演示如何从所产生的模型中获得领土模式。我们证明了我们的模型的有效性,应用到亚马逊雨林的食虫鸟类种群。

英文摘要:

Collective phenomena, whereby agent-agent interactions determine spatial patterns, are ubiquitous in the animal kingdom. On the other hand, movement and space use are also greatly influenced by the interactions between animals and their environment. Despite both types of interaction fundamentally influencing animal behaviour, there has hitherto been no unifying framework for the models proposed in both areas. Here, we construct a general method for inferring population-level spatial patterns from underlying individual movement and interaction processes, a key ingredient in building a statistical mechanics for ecological systems. We show that resource selection functions, as well as several examples of collective motion models, arise as special cases of our framework, thus bringing together resource selection analysis and collective animal behaviour into a single theory. In particular, we focus on combining the various mechanistic models of territorial interactions in the literature with step selection functions, by incorporate interactions into the step selection framework and demonstrating how to derive territorial patterns from the resulting models. We demonstrate the efficacy of our model by application to a population of insectivore birds in the Amazon rainforest.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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