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Environmental heterogeneity promotes individual specialisation in habitat selection in a widely distributed seabird

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    Environmental heterogeneity promotes individual specialisation in habitat selection in a widely distributed seabird

    Alice M. Trevail, Jonathan A. Green, Mark Bolton, Francis Daunt, Stephanie M. Harris, Peter I. Miller, Stephen Newton, Ellie Owen, Jeff A. Polton, Gail Robertson, Jonathan Sharples, Samantha C. Patrick
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    © 2021 The Authors. Journal of Animal Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society.
    https://doi.org/10.1111/1365-2656.13588
    Published inJournal of Animal Ecology
    PublisherJohn Wiley & Sons, Ltd
    ISSN0021-8790
    eISSN1365-2656

    Received7 December 2020

    Accepted30 August 2021
    Pagesn/a - n/a
    Abstract

    Individual specialisations in behaviour are predicted to arise where divergence benefits fitness. Such specialisations are more likely in heterogeneous environments where there is both greater ecological opportunity and competition-driven frequency dependent selection.Such an effect could explain observed differences in rates of individual specialisation in habitat selection, as it offers individuals an opportunity to select for habitat types that maximise resource gain while minimising competition; however, this mechanism has not been tested before.Here, we use habitat selection functions to quantify individual specialisations while foraging by black-legged kittiwakes Rissa tridactyla, a marine top predator, at 15 colonies around the United Kingdom and Ireland, along a gradient of environmental heterogeneity.We find support for the hypothesis that individual specialisations in habitat selection while foraging are more prevalent in heterogeneous environments. This trend was significant across multiple dynamic habitat variables that change over short time-scales and did not arise through site fidelity, which highlights the importance of environmental processes in facilitating behavioural adaptation by predators.Individual differences may drive evolutionary processes, and therefore these results suggest that there is broad scope for the degree of environmental heterogeneity to determine current and future population, species and community dynamics.

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    FIGURE 1Framework by which we would expect selection (orange arrows) to favour populations of common phenotypes that share optimal habitats where heterogeneity is low, and individuals with unique habitat specialisations where heterogeneity is high
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    FIGURE 2Schematic to show how resource selection functions using random slopes and intercepts modelled habitat selection at (a) the species; (b) population; and (c) individual level. Frequency density plots show available habitat in dashed lines and used habitat in solid lines. Individual specialisation in habitat selection was quantified for each population using repeatability analyses to calculate model variance explained by individual
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    FIGURE 3Probability of habitat selection by kittiwakes while foraging given the: bathymetry (m), potential tidal stratification (log10 (m−2 s3)), SST (°C), front strength (°C/1.2 km), front distance (km) and front persistence (fraction of cloud‐free observations of a pixel for which a front was detected). Selection curves are shown at the species level (solid black lines ± SE; dashed lines) and from each colony (grey lines; parameter estimates in Supporting Information Appendix G: Table G1). Considering the propensity to remain close to the colony, kittiwakes preferentially foraged in areas characterised by shallower depths, weaker stratification, cooler temperatures, and weaker, more distant, and less persistent fronts
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    FIGURE 4Individual repeatability of kittiwake habitat selection of different environmental variables while foraging, between populations of differing environmental heterogeneity. Each point represents a colony, and error bars show standard error between years. Significant relationships between individual repeatability and environmental heterogeneity (Table 1) are shown as linear regressions (solid lines) and standard error (dashed lines). Higher repeatability values indicate higher mean prevalence of individual habitat specialisations. Individual habitat specialisations were more prevalent in colonies with more heterogeneous environments for front strength, front distance and front persistence
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    FIGURE 5Kittiwake colonies coloured by (a) environmental heterogeneity (Trevail, Green, Sharples, Polton, Miller, et al., 2019) and (b–d) individual repeatability in habitat selection of front strength, front distance and front persistence. There was a significant correlation between environmental heterogeneity and individual repeatability in habitat selection of each three ocean front metrics, presented in Figure 4 and shown spatially here. Higher repeatability values indicate higher mean prevalence of individual habitat specialisations
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