Optimizing countershading camouflage
Countershading, the widespread tendency of animals to be darker on the side that receives strongest illumination, has classically been explained as an adaptation for camouflage: obliterating cues to 3D shape and enhancing background matching. However, there have only been two quantitative tests of w...
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Published in: | Proceedings of the National Academy of Sciences - PNAS Vol. 113; no. 46; pp. 13093 - 13097 |
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Main Authors: | , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
National Academy of Sciences
15-11-2016
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Subjects: | |
Online Access: | Get full text |
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Summary: | Countershading, the widespread tendency of animals to be darker on the side that receives strongest illumination, has classically been explained as an adaptation for camouflage: obliterating cues to 3D shape and enhancing background matching. However, there have only been two quantitative tests of whether the patterns observed in different species match the optimal shading to obliterate 3D cues, and no tests of whether optimal countershading actually improves concealment or survival. We use a mathematical model of the light field to predict the optimal countershading for concealment that is specific to the light environment and then test this prediction with correspondingly patterned model “caterpillars” exposed to avian predation in the field. We show that the optimal countershading is strongly illumination-dependent. A relatively sharp transition in surface patterning from dark to light is only optimal under direct solar illumination; if there is diffuse illumination from cloudy skies or shade, the pattern provides no advantage over homogeneous background-matching coloration. Conversely, a smoother gradation between dark and light is optimal under cloudy skies or shade. The demonstration of these illumination-dependent effects of different countershading patterns on predation risk strongly supports the comparative evidence showing that the type of countershading varies with light environment. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by Raghavendra Gadagkar, Indian Institute of Science, Bangalore, India, and approved September 30, 2016 (received for review July 14, 2016) Author contributions: I.C.C., O.P., P.G.L., G.D.R., and J.M.H. designed research; I.C.C. and N.S.S. performed research; O.P. and P.G.L. contributed analytic tools; I.C.C. and N.S.S. analyzed data; and I.C.C., N.S.S., O.P., P.G.L., and J.M.H. wrote the paper. |
ISSN: | 0027-8424 1091-6490 |
DOI: | 10.1073/pnas.1611589113 |