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Imperfect Batesian Mimicry and the Conspicuousness Costs of Mimetic Resemblance

机译:不完美的贝塞斯拟态和拟态相似的显眼成本

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摘要

We apply signal detection methodology to make predictions about the evolution of Batesian mimicry. Our approach is novel in three ways. First, we applied a deterministic evolutionary modeling system that allows a large number of alternative mimetic morphs to coexist and compete. Second, we considered that there may be natural boundaries to phenotypic expression. Finally, we allowed increasing conspicuousness to impose an increasing detection cost on mimics. In some instances, the model predicts widespread variation in mimetic forms at evolutionary stability. In other situations, rather than a polymorphism the model predicts dimorphisms in which some prey were maximally cryptic and had minimal resemblance to the model, whereas many others were more conspicuous than the model. The biological implications of these results, particularly for our understanding of imperfect mimicry, are discussed.
机译:我们应用信号检测方法对贝茨模拟的演变做出预测。我们的方法在三种方面都是新颖的。首先,我们应用了确定性进化建模系统,该系统允许大量替代模拟形态共存和竞争。其次,我们认为表型表达可能存在自然界限。最后,我们允许增加显眼性,以增加模拟物的检测成本。在某些情况下,该模型可以预测模拟形式在进化稳定性方面的广泛变化。在其他情况下,模型会预测双态,而不是多态,在这种双态中,某些猎物最大程度地是隐秘的,与模型的相似性最小,而其他许多猎物比模型更显眼。讨论了这些结果的生物学含义,特别是对于我们对不完美模仿的理解。

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