A unifying framework for quantifying the nature of animal interactions

  • Author(s) / Creator(s)
  • 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 incorporating 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

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  • Subjects / Keywords
  • Type of Item
    Article (Published)
  • DOI
  • License
    Attribution-NonCommercial 4.0 International