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Multiple models generate a geographical mosaic of resemblance in a Batesian mimicry complex.

ABSTRACT: Batesian mimics-benign species that receive protection from predation by resembling a dangerous species-often occur with multiple model species. Here, we examine whether geographical variation in the number of local models generates geographical variation in mimic-model resemblance. In areas with multiple models, selection might be relaxed or even favour imprecise mimicry relative to areas with only one model. We test the prediction that model-mimic match should vary with the number of other model species in a broadly distributed snake mimicry complex where a mimic and a model co-occur both with and without other model species. We found that the mimic resembled its model more closely when they were exclusively sympatric than when they were sympatric with other model species. Moreover, in regions with multiple models, mimic-model resemblance was positively correlated with the resemblance between the model and other model species. However, contrary to predictions, free-ranging natural predators did not attack artificial replicas of imprecise mimics more often when only a single model was present. Taken together, our results suggest that multiple models might generate a geographical mosaic in the degree of phenotype matching between Batesian mimics and their models.

SUBMITTER: Akcali CK

PROVIDER: S-EPMC6784714 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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Multiple models generate a geographical mosaic of resemblance in a Batesian mimicry complex.

Akcali Christopher K CK Pérez-Mendoza Hibraim Adán HA Kikuchi David W DW Pfennig David W DW

Proceedings. Biological sciences 20190918 1911

Batesian mimics-benign species that receive protection from predation by resembling a dangerous species-often occur with multiple model species. Here, we examine whether geographical variation in the number of local models generates geographical variation in mimic-model resemblance. In areas with multiple models, selection might be relaxed or even favour imprecise mimicry relative to areas with only one model. We test the prediction that model-mimic match should vary with the number of other mod ...[more]

PMID: 31530146

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Project description:BackgroundMimicry, in which one prey species (the Mimic) imitates the aposematic signals of another prey (the Model) to deceive their predators, has attracted the general interest of evolutionary biologists. Predator psychology, especially how the predator learns and forgets, has recently been recognized as an important factor in a predator-prey system. This idea is supported by both theoretical and experimental evidence, but is also the source of a good deal of controversy because of its novel prediction that in a Model/Mimic relationship even a moderately unpalatable Mimic increases the risk of the Model (quasi-Batesian mimicry).Methodology/principal findingsWe developed a psychology-based Monte Carlo model simulation of mimicry that incorporates a "Pavlovian" predator that practices an optimal foraging strategy, and examined how various ecological and psychological factors affect the relationships between a Model prey species and its Mimic. The behavior of the predator in our model is consistent with that reported by experimental studies, but our simulation's predictions differed markedly from those of previous models of mimicry because a more abundant Mimic did not increase the predation risk of the Model when alternative prey were abundant. Moreover, a quasi-Batesian relationship emerges only when no or very few alternative prey items were available. Therefore, the availability of alternative prey rather than the precise method of predator learning critically determines the relationship between Model and Mimic. Moreover, the predation risk to the Model and Mimic is determined by the absolute density of the Model rather than by its density relative to that of the Mimic.Conclusions/significanceAlthough these predictions are counterintuitive, they can explain various kinds of data that have been offered in support of competitive theories. Our model results suggest that to understand mimicry in nature it is important to consider the likely presence of alternative prey and the possibility that predation pressure is not constant.

Dataset Information

Multiple models generate a geographical mosaic of resemblance in a Batesian mimicry complex.

Publications

Multiple models generate a geographical mosaic of resemblance in a Batesian mimicry complex.

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