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      Context-dependent coloration of prey and predator decision making in contrasting light environments

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          Abstract

          A big question in behavioral ecology is what drives diversity of color signals. One possible explanation is that environmental conditions, such as light environment, may alter visual signaling of prey, which could affect predator decision-making. Here, we tested the context-dependent predator selection on prey coloration. In the first experiment, we tested detectability of artificial visual stimuli to blue tits ( Cyanistes caeruleus) by manipulating stimulus luminance and chromatic context of the background. We expected the presence of the chromatic context to facilitate faster target detection. As expected, blue tits found targets on chromatic yellow background faster than on achromatic grey background whereas in the latter, targets were found with smaller contrast differences to the background. In the second experiment, we tested the effect of two light environments on the survival of aposematic, color polymorphic wood tiger moth ( Arctia plantaginis). As luminance contrast should be more detectable than chromatic contrast in low light intensities, we expected birds, if they find the moths aversive, to avoid the white morph which is more conspicuous than the yellow morph in low light (and vice versa in bright light). Alternatively, birds may attack first moths that are more detectable. We found birds to attack yellow moths first in low light conditions, whereas white moths were attacked first more frequently in bright light conditions. Our results show that light environments affect predator foraging decisions, which may facilitate context-dependent selection on visual signals and diversity of prey phenotypes in the wild.

          Abstract

          Light environments are constantly changing and may alter visual appearance of prey, but also bias predators’ decision making. Our findings using blue tits in visual search tasks and the wood tiger moth prey under two light environments demonstrate that birds show context-dependent predatory behavior. This suggests that light environments can play a major selective role and influence visual signaling in the wild.

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          Signals, Signal Conditions, and the Direction of Evolution

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            Visual pigments, oil droplets, ocular media and cone photoreceptor distribution in two species of passerine bird: the blue tit ( Parus caeruleus L.) and the blackbird ( Turdus merula L.)

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              Photoreceptor spectral sensitivities in terrestrial animals: adaptations for luminance and colour vision.

              This review outlines how eyes of terrestrial vertebrates and insects meet the competing requirements of coding both spatial and spectral information. There is no unique solution to this problem. Thus, mammals and honeybees use their long-wavelength receptors for both achromatic (luminance) and colour vision, whereas flies and birds probably use separate sets of photoreceptors for the two purposes. In particular, we look at spectral tuning and diversification among 'long-wavelength' receptors (sensitivity maxima at greater than 500 nm), which play a primary role in luminance vision. Data on spectral sensitivities and phylogeny of visual photopigments can be incorporated into theoretical models to suggest how eyes are adapted to coding natural stimuli. Models indicate, for example, that animal colour vision--involving five or fewer broadly tuned receptors--is well matched to most natural spectra. We can also predict that the particular objects of interest and signal-to-noise ratios will affect the optimal eye design. Nonetheless, it remains difficult to account for the adaptive significance of features such as co-expression of photopigments in single receptors, variation in spectral sensitivities of mammalian L-cone pigments and the diversification of long-wavelength receptors that has occurred in several terrestrial lineages.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                Behav Ecol
                Behav Ecol
                beheco
                Behavioral Ecology
                Oxford University Press (UK )
                1045-2249
                1465-7279
                Jan-Feb 2022
                18 October 2021
                18 October 2021
                : 33
                : 1
                : 77-86
                Affiliations
                [1 ] Department of Biological and Environmental Science, University of Jyväskylä , Jyväskylä, Finland
                [2 ] Organismal and Evolutionary Biology Research Program, Faculty of Biological and Environmental Sciences, University of Helsinki , Viikki Biocenter 3, Helsinki, Finland
                Author notes
                Address correspondence to Ossi Nokelainen. E-mail: ossi.nokelainen@ 123456jyu.fi .
                Author information
                https://orcid.org/0000-0002-0278-6698
                https://orcid.org/0000-0002-0047-8464
                https://orcid.org/0000-0002-2177-6612
                https://orcid.org/0000-0002-1117-5629
                Article
                arab111
                10.1093/beheco/arab111
                8857938
                35197807
                56b1e38b-dce5-4871-90d7-5426ec4fbc19
                © The Author(s) 2021. Published by Oxford University Press on behalf of the International Society for Behavioral Ecology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 07 December 2020
                : 17 August 2021
                : 24 August 2021
                : 15 September 2021
                Page count
                Pages: 10
                Funding
                Funded by: Academy of Finland, DOI 10.13039/501100002341;
                Award ID: 21000043751
                Award ID: 21000038821
                Categories
                Original Articles
                AcademicSubjects/SCI01330

                Ecology
                behavior,cognition,color vision,psychology,receptor-noise-limited model,signal
                Ecology
                behavior, cognition, color vision, psychology, receptor-noise-limited model, signal

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