JOURNAL ARTICLE
The function of red and banded patterns in snakes: a review of hypotheses and evidence.
Published In: Biological Journal of the Linnean Society, 2024, v. 142, n. 4. P. 351 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Mouy, Henri 3 of 3
Abstract
This article critically examines the widely held hypothesis that the bright red and black banded (RBB) coloration of coral snakes (genus *Micrurus* and *Micruroides*) functions as an aposematic (warning) signal and that many similarly colored snakes in the Americas are Batesian mimics of coral snakes. The review finds that theoretical models and empirical evidence supporting aposematism and mimicry in coral snakes are weak or inconsistent, citing issues such as the rarity of coral snakes, the overabundance and polymorphism of mimics, imperfect geographic overlap between models and mimics, and the lack of clear selective predators capable of learning or innate avoidance. Furthermore, similar RBB and complex banded patterns have evolved independently multiple times worldwide, including in Asia, Africa, and Oceania, often in species unlikely to be coral snake mimics, suggesting a broader, yet unidentified, selective force favoring these colorations. The article concludes that aposematism and mimicry fail to fully explain the evolution and maintenance of these patterns and calls for new hypotheses to account for the widespread and recurrent selection of red and black banded patterns and complex banding in snakes globally.
Additional Information
- Source:Biological Journal of the Linnean Society. 2024/08, Vol. 142, Issue 4, p351
- Document Type:Article
- Subject Area:Zoology
- Publication Date:2024
- ISSN:0024-4066
- DOI:10.1093/biolinnean/blad151
- Accession Number:178778972
- Copyright Statement:Copyright of Biological Journal of the Linnean Society is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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