Literature DB >> 22117898

Motion dazzle and camouflage as distinct anti-predator defenses.

Martin Stevens1, W Tom L Searle, Jenny E Seymour, Kate L A Marshall, Graeme D Ruxton.   

Abstract

BACKGROUND: Camouflage patterns that hinder detection and/or recognition by antagonists are widely studied in both human and animal contexts. Patterns of contrasting stripes that purportedly degrade an observer's ability to judge the speed and direction of moving prey ('motion dazzle') are, however, rarely investigated. This is despite motion dazzle having been fundamental to the appearance of warships in both world wars and often postulated as the selective agent leading to repeated patterns on many animals (such as zebra and many fish, snake, and invertebrate species). Such patterns often appear conspicuous, suggesting that protection while moving by motion dazzle might impair camouflage when stationary. However, the relationship between motion dazzle and camouflage is unclear because disruptive camouflage relies on high-contrast markings. In this study, we used a computer game with human subjects detecting and capturing either moving or stationary targets with different patterns, in order to provide the first empirical exploration of the interaction of these two protective coloration mechanisms.
RESULTS: Moving targets with stripes were caught significantly less often and missed more often than targets with camouflage patterns. However, when stationary, targets with camouflage markings were captured less often and caused more false detections than those with striped patterns, which were readily detected.
CONCLUSIONS: Our study provides the clearest evidence to date that some patterns inhibit the capture of moving targets, but that camouflage and motion dazzle are not complementary strategies. Therefore, the specific coloration that evolves in animals will depend on how the life history and ontogeny of each species influence the trade-off between the costs and benefits of motion dazzle and camouflage.

Entities:  

Mesh:

Year:  2011        PMID: 22117898      PMCID: PMC3257203          DOI: 10.1186/1741-7007-9-81

Source DB:  PubMed          Journal:  BMC Biol        ISSN: 1741-7007            Impact factor:   7.431


  27 in total

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Journal:  Proc Biol Sci       Date:  2005-03-22       Impact factor: 5.349

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  28 in total

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Authors:  Roger D Santer
Journal:  Biol Lett       Date:  2013-12-04       Impact factor: 3.703

2.  Interference coloration as an anti-predator defence.

Authors:  Thomas W Pike
Journal:  Biol Lett       Date:  2015-04       Impact factor: 3.703

3.  Diverted by dazzle: perceived movement direction is biased by target pattern orientation.

Authors:  Anna E Hughes; Christian Jones; Kaustuv Joshi; David J Tolhurst
Journal:  Proc Biol Sci       Date:  2017-03-15       Impact factor: 5.349

Review 4.  Unravelling the illusion of flicker fusion.

Authors:  Diana Umeton; Jenny C A Read; Candy Rowe
Journal:  Biol Lett       Date:  2017-02       Impact factor: 3.703

5.  Camouflage, detection and identification of moving targets.

Authors:  Joanna R Hall; Innes C Cuthill; Roland Baddeley; Adam J Shohet; Nicholas E Scott-Samuel
Journal:  Proc Biol Sci       Date:  2013-03-13       Impact factor: 5.349

6.  In the corner of the eye: camouflaging motion in the peripheral visual field.

Authors:  Ioan E Smart; Innes C Cuthill; Nicholas E Scott-Samuel
Journal:  Proc Biol Sci       Date:  2020-01-15       Impact factor: 5.349

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Authors:  João Vitor de Alcantara Viana; Camila Vieira; Rafael Campos Duarte; Gustavo Quevedo Romero
Journal:  Proc Biol Sci       Date:  2022-09-14       Impact factor: 5.530

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Authors:  Kate L A Marshall; Thanh-Lan Gluckman
Journal:  Ecol Evol       Date:  2015-04-22       Impact factor: 2.912

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Authors:  Bettina von Helversen; Lael J Schooler; Uwe Czienskowski
Journal:  PLoS One       Date:  2013-04-24       Impact factor: 3.240

10.  The role of stripe orientation in target capture success.

Authors:  Anna E Hughes; Richard S Magor-Elliott; Martin Stevens
Journal:  Front Zool       Date:  2015-08-12       Impact factor: 3.172

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