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Mimicry on the edge: why do mimics vary in resemblance to their model in different parts of their geographical range?

机译:模仿的边缘:为什么模仿在其地理范围的不同部分中与它们的模型相似?

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摘要

Batesian mimics—benign species that predators avoid because they resemble a dangerous species—often vary geographically in resemblance to their model. Such geographical variation in mimic–model resemblance may reflect geographical variation in model abundance. Natural selection should favour even poor mimics where their model is common, but only good mimics where their model is rare. We tested these predictions in a snake-mimicry complex where the geographical range of the mimic extends beyond that of its model. Mimics on the edge of their model's range (where the model was rare) resembled the model more closely than did mimics in the centre of their model's range (where the model was common). When free-ranging natural predators on the edge of the model's range were given a choice of attacking replicas of good or poor mimics, they avoided only good mimics. By contrast, those in the centre of the model's range attacked good and poor mimics equally frequently. Generally, although poor mimics may persist in areas where their model is common, only the best mimics should occur in areas where their model is rare. Thus, counter-intuitively, the best mimics may occur on the edge of their model's range.
机译:Batesian模仿物(捕食者因为类似于危险物种而避开的良种)在地理上通常与其模型相似。模拟模型相似性的这种地理差异可能反映了模型丰度的地理差异。自然选择即使在模型普遍的较差模仿中也应偏爱,而在模型很少的情况下仅应选择良好模仿。我们在模仿蛇的地理范围超出其模型范围的蛇形模仿复合体中测试了这些预测。与模型范围中心(常见模型)相比,位于模型范围边缘(很少见模型)的模拟与模型的相似度更高。当在模型范围的边缘上自由放养的自然捕食者被选择攻击好或坏模仿物的复制品时,他们只避免了好模仿物。相比之下,处于模型范围中心的模拟对象对好和坏模拟对象的攻击频率相同。通常,尽管不良的模仿者可能会在其模型普遍的地区持续存在,但只有最佳的模仿者应该出现在其模型很少的地区。因此,与直觉相反,最佳模拟可能出现在其模型范围的边缘。

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