Cornell Lab of Ornithology, Cornell University, Ithaca, NY, 14850, USA.
Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, 14850, USA.
Ecol Lett. 2016 Jun;19(6):609-19. doi: 10.1111/ele.12602. Epub 2016 Apr 27.
Mimicry is a canonical example of adaptive signal design. In principle, what constitutes mimicry is independent of the taxonomic identity of the mimic, the ecological context in which it operates, and the sensory modality through which it is expressed. However, in practice the study of mimicry is inconsistent across research fields, with theoretical and empirical advances often failing to cross taxonomic and sensory divides. We propose a novel conceptual framework whereby mimicry evolves if a receiver perceives the similarity between a mimic and a model and as a result confers a selective benefit onto the mimic. Here, misidentification and/or deception are no longer formal requirements, and mimicry can evolve irrespective of the underlying proximate mechanisms. The centrality of receiver perception in this framework enables us to formally distinguish mimicry from perceptual exploitation and integrate mimicry and multicomponent signalling theory for the first time. In addition, it resolves inconsistencies in our understanding of the role of learning in mimicry evolution, and shows that imperfect mimicry is expected to be the norm. Mimicry remains a key model for understanding signal evolution and cognition, and we recommend the adoption of a unified approach to stimulate future interdisciplinary developments in this fascinating area of research.
拟态是自适应信号设计的典型范例。原则上,什么构成拟态与模仿者的分类身份、它运作的生态背景以及它表达的感觉模态无关。然而,在实践中,拟态的研究在不同的研究领域并不一致,理论和经验的进展往往未能跨越分类和感觉的障碍。我们提出了一个新的概念框架,即如果一个接收器感知到模仿者和模型之间的相似性,并因此赋予模仿者选择性优势,那么拟态就会进化。在这里,错误识别和/或欺骗不再是正式的要求,并且无论潜在的近似机制如何,拟态都可以进化。在这个框架中,接收器感知的中心地位使我们能够正式区分模仿与感知利用,并首次整合模仿和多组分信号理论。此外,它解决了我们对学习在拟态进化中的作用的理解中的不一致性,并表明不完美的模仿是预期的常态。拟态仍然是理解信号进化和认知的关键模型,我们建议采用统一的方法来刺激这一迷人研究领域的未来跨学科发展。