Abstract

In mimicry systems, receivers discriminate between the stimuli of models and mimics. Weber's Law of proportional processing states that receiver discrimination is based on proportional, not absolute, differences between stimuli. Weber's Law operates in a variety of taxa and modalities, yet it has largely been ignored in the context of mimicry, despite its potential relevance to whether receivers can discriminate models from mimics. Specifically, Weber's Law implies that for a given difference in stimulus magnitude between a model and mimic, as stimulus magnitudes increase, the mimic will be less discriminable from their model. This implies that mimics should benefit when stimulus magnitudes are high, and that high stimulus magnitudes will reduce selection for mimetic fidelity. Whether models benefit from high stimulus magnitudes depends on whether mimicry is honest or deceptive. We present four testable predictions about evolutionary trajectories of models and mimics based on this logic. We then provide a framework for testing whether receiver discrimination adheres to Weber's Law and illustrate it using coevolutionary examples and case studies from avian brood parasitism. We conclude that, when studying mimicry systems, researchers should consider whether receiver perception conforms to Weber's Law, because it could drive stimulus evolution in counterintuitive directions.

Highlights

  • Section 1: Implications of Weber’s Law for mimicry systemsHONEST VERSUS DECEPTIVE MIMICRY Many coevolutionary systems involve mimics evolving to resemble models

  • Parasites, should preferentially target larger clutches, because they benefit from the addition of their egg going undetected (Prediction 2 [Section 1]; Akre & Johnsen 2014)

  • Field studies or examination of egg collections of brood parasites and hosts in museums might permit comparison of levels of mimetic fidelity across hosts: if many host species discriminate based on the number of markings, Weber’s Law predicts greater mimetic fidelity in parasites targeting hosts that exhibit lower number of markings, than those that exhibit higher number of markings (Prediction 3)

Read more

Summary

Section 1: Implications of Weber’s Law for mimicry systems

HONEST VERSUS DECEPTIVE MIMICRY Many coevolutionary systems involve mimics evolving to resemble models. Mimicry systems can be divided into two general types: honest and deceptive, depending on the type of information signaled to a receiver (reviewed by Jamie 2017). Honest mimicry is defined as mimicry in which the mimic honestly signals information to the receiver. In Müllerian mimicry, a fitness cost is honestly signaled to the receiver. This includes systems in which multiple unpalatable species evolve to resemble each other, because they benefit from the increased efficiency of predator learning (Sherratt 2008). Aggressive mimicry systems include brood parasite-host systems, where parasites deceptively signal the presence of host offspring, often by mimicking egg phenotypes of their hosts (Fig. 2E, F).

EVOLUTION 2021
Section 2: A Framework for Testing Weber’s Law
Section 3: Case Studies
Conclusions

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.