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Making habitat selection more “familiar”: a review

机译:综述:使栖息地选择更加“熟悉”

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Behavioral ecologists generally agree that animals derive benefits from familiarity with spaces that they inhabit or visit, yet site familiarity is rudimentary or lacking in most models of habitat selection. In this review, I examine evidence for the occurrence of site familiarity and its fitness benefits, describe the difficulty of measuring site familiarity, note its omission from the influential ideal free and ideal despotic models, and use a literature search to test an assumption of the ideal models that has become widespread in habitat selection theory: that animals behave without regard for site familiarity. I find little support for such “familiarity blindness” in vertebrates. Next I discuss how the study of public information has drawn attention away from site familiarity and point out that both kinds of information are likely to be important in habitat selection. I proceed to examine current models of initial settlement (exploration and settlement of prebreeders on first territories) and optional resettlement (site fidelity or dispersal by established breeders following a period of prospecting) and find that the latter include only basic forms of site familiarity. Hence, I develop the concept that an inhabited space holds a unique “private value” to an animal based on its familiarity with the space and offer a simple model for optional resettlement based on private value that generates several novel predictions, including site fidelity based on cumulative breeding site familiarity and high site fidelity among species with complex territories.
机译:行为生态学家通常同意,动物会从对它们居住或访问的空间的熟悉中获得收益,但是在大多数栖息地选择模型中,对地点的了解是基本的或缺乏的。在这篇综述中,我检查了发生站点熟悉程度及其适应性益处的证据,描述了测量站点熟悉程度的困难,注意到其从有影响力的理想自由和理想专制模型中的遗漏,并使用文献搜索来检验对假设的认识。在栖息地选择理论中已经广为流传的理想模型:动物的行为无需考虑地点的熟悉程度。我发现很少有人支持脊椎动物中的这种“熟悉盲目性”。接下来,我将讨论公共信息的研究如何引起人们对站点熟悉程度的关注,并指出两种信息在生境选择中都可能很重要。我着手研究当前的初始定居模式(先民在第一领土上的探索和定居)和可选的安置(在一定的探矿期后由现场繁殖者进行场地保真度或散布),并发现后者仅包括场地熟悉度的基本形式。因此,我提出了一个概念,即有人居住的空间基于对动物的熟悉程度而对动物具有独特的“私人价值”,并为基于私人价值的可选安置提供了简单的模型,该模型产生了一些新颖的预测,包括基于具有复杂领土的物种之间的累积繁殖地点熟悉度和高地点保真度。

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