Shining a light on camouflage evolution: using genetic algorithms to determine the effects of geometry and lighting on optimal camouflage

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Опубликовано в::bioRxiv (Mar 6, 2025)
Главный автор: Hancock, George Richard Alexander
Другие авторы: Cuthill, Innes C, Troscianko, Jolyon
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Cold Spring Harbor Laboratory Press
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022 |a 2692-8205 
024 7 |a 10.1101/2025.03.01.640995  |2 doi 
035 |a 3174601484 
045 0 |b d20250306 
100 1 |a Hancock, George Richard Alexander 
245 1 |a Shining a light on camouflage evolution: using genetic algorithms to determine the effects of geometry and lighting on optimal camouflage 
260 |b Cold Spring Harbor Laboratory Press  |c Mar 6, 2025 
513 |a Working Paper 
520 3 |a Visual camouflage evolves within the bounds of light's interaction with the surroundings and the sensory limits of its observers. Rapid temporal variation in lighting from weather and its interaction with objects within the visual scene alters the contrast of the spatio-chromatic features of both backgrounds and animals, the latter through self-shading and received shadows from their surroundings. Despite the apparent effect of lighting on object appearance, the enormity of interactions and the diversity of animal phenotypic solutions present challenges to investigating the combined effects of lighting and habitat structure on camouflage effectiveness and design. Genetic algorithms and mathematical animal pattern generation provide a potential solution to investigating this high-dimensional feature space. Here, an online artificial evolution experiment was used to examine the effect of lighting and habitat geometry on camouflage. Lighting and geometry changed which prey phenotypes evolved, and the predictive power of common camouflage metrics. Crucially, lighting condition systematically altered prey-targets' internal contrast and interacted with habitat geometry, affecting the evolved patterning, colour, and countershading. Our work demonstrates the importance of considering the relative geometry and lighting of an environment when determining the function of animal colouration and the adaptive value of camouflage.Competing Interest StatementThe authors have declared no competing interest.Footnotes* https://www.dropbox.com/scl/fi/an6m29a9jjla7z6uyztvh/Light-CamoEvo_Supp.zip?rlkey=hposjp19fcytrt3emltq69raf&st=dlq6wxh8&dl=0 
653 |a Habitats 
653 |a Camouflage 
653 |a Mathematics 
653 |a Temporal variations 
653 |a Algorithms 
653 |a Lighting 
653 |a Geometry 
653 |a Genetic algorithms 
653 |a Phenotypes 
653 |a Prey 
700 1 |a Cuthill, Innes C 
700 1 |a Troscianko, Jolyon 
773 0 |t bioRxiv  |g (Mar 6, 2025) 
786 0 |d ProQuest  |t Biological Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3174601484/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u https://www.biorxiv.org/content/10.1101/2025.03.01.640995v1