From natural to sexual selection: Revealing a hidden preference for camouflage patterns

Author:

Brichard Yseult HejjaORCID,Raymond MichelORCID,Cuthill Innes C.ORCID,Mendelson Tamra C.ORCID,Renoult Julien P.ORCID

Abstract

AbstractNatural and sexual selection can be in conflict in driving the evolution of sexual ornamentation. Sexual selection typically favors detectability to potential mates, whereas natural selection penalizes detectability to avoid predators. Considering signal efficiency in addition to detectability, however, suggests that natural and sexual selection need not be antagonistic. In the visual domain, considerable evidence supports a “processing bias” by which people prefer images that match the spatial statistics of natural scenes, likely because the brain has evolved to process such scenes efficiently. A direct but untested prediction of this bias is that background-matching camouflage can be favored by natural and sexual selection. We conducted an online experiment where we show for the first time human preference for camouflaged patterning and confirm a preference for the average image statistics of natural scenes. Because many of the underlying visual mechanisms are shared across vertebrates, our results suggest that camouflage patterns can serve as evolutionary precursors of sexual signals.

Publisher

Cold Spring Harbor Laboratory

Reference62 articles.

1. M. Andersson , Sexual Selection (Princeton University Press, 1994; https://press.princeton.edu/books/paperback/9780691000572/sexual-selection).

2. Natural and sexual selection on color patterns in poeciliid fishes

3. Male predation risk determines female preference in the Trinidad guppy

4. Geographic Variation in Female Preferences for Male Traits in Poecilia reticulata

5. A test for the parallel co-evolution of male colour and female preference in Trinidadian guppies (Poecilia reticulata);Evol. Ecol. Res,2007

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