Franks Daniel W, Noble Jason
Biosystems Group, School of Computing, University of Leeds, Leeds LS2 9JT, UK.
Proc Biol Sci. 2004 Jan 22;271(1535):191-6. doi: 10.1098/rspb.2003.2582.
Mathematical models of mimicry typically involve artificial prey species with fixed colorations or appearances; this enables a comparison of predation rates to demonstrate the level of protection a mimic might be afforded. Fruitful theoretical results have been produced using this method, but it is also useful to examine the possible evolutionary consequences of mimicry. To that end, we present individual-based evolutionary simulation models where prey colorations are free to evolve. We use the models to examine the effect of Batesian mimics on Müllerian mimics and mimicry rings. Results show that Batesian mimics can potentially incite Müllerian mimicry relationships and encourage mimicry ring convergence.
拟态的数学模型通常涉及具有固定颜色或外观的人工猎物物种；这使得能够比较捕食率，以证明拟态可能提供的保护水平。使用这种方法已经产生了丰硕的理论成果，但研究拟态可能的进化后果也很有用。为此，我们提出了基于个体的进化模拟模型，其中猎物的颜色可以自由进化。我们使用这些模型来研究贝氏拟态对缪勒拟态和拟态环的影响。结果表明，贝氏拟态可能会引发缪勒拟态关系，并促进拟态环趋同。
