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首页> 外文期刊>The American Naturalist: Devoted to the Conceptual Unification of the Biological Sciences >Migration or Residency? The Evolution of Movement Behavior and Information Usage in Seasonal Environments
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Migration or Residency? The Evolution of Movement Behavior and Information Usage in Seasonal Environments

机译:移民还是居住?季节性环境中运动行为和信息使用的演变

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Migration, the seasonal movement of individuals among different locations, is a behavior found throughout the animal kingdom. Although migration is widely studied at taxonomically restricted levels, cross-taxonomic syntheses of migration are less common. As a result, we lack answers to broad questions such as what ultimate factors generally drive animal migration. Here we present such a synthesis by using a spatially explicit, individual-based model in which we evolve behavior rules via simulations under a wide range of ecological conditions to answer two questions. First, under what types of ecological conditions can an individual maximize its fitness by migrating (vs. being a resident)? Second, what types of information do individuals use to guide their movement? We show that migration is selected for when resource distributions are dominated more by seasonality than by local patchiness, and residency (non-migratory behavior) is selected for when the reverse is true. When selected for, migration evolves as both a movement behavior and an information usage strategy. We also find that different types of migration can evolve, depending on the ecological conditions and availability of information. Finally, we present empirical support for our main results, drawn from migration patterns exhibited by a variety of taxonomic groups.
机译:迁移是个体在不同位置之间的季节性移动,是整个动物界都发现的一种行为。尽管对迁移进行了分类学上的限制,但迁移的跨分类学合成却很少见。结果,我们缺乏广泛问题的答案,例如哪些最终因素通常会导致动物迁徙。在这里,我们通过使用空间明确的基于个体的模型来呈现这种综合,其中我们通过在广泛的生态条件下进行仿真来演化行为规则,以回答两个问题。首先,在哪种类型的生态条件下,个人可以通过迁移(相对于居民)来最大化自身的适应能力?第二,个人使用什么类型的信息来指导他们的运动?我们显示,当资源分配主要由季节性而不是局部零散支配时,选择迁移是选择的,而反之亦然时,则选择居住(非迁移行为)。当选择迁移时,迁移将同时作为一种移动行为和一种信息使用策略而发展。我们还发现,根据生态条件和信息的可用性,可能会演变出不同类型的迁徙。最后,我们为主要结果提供了经验支持,这些结果来自于各种分类学群体展示的迁移模式。

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