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Stress and sexual signaling: a systematic review and meta-analysis

Author

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  • Fhionna R. Moore
  • David M. Shuker
  • Liam Dougherty

Abstract

The vertebrate stress response has been shown to suppress investment in reproductive and immune function and may also lead to a reduced investment in the production of secondary sexual traits. However, it has been difficult to model roles of stress in sexual selection due to the inconsistent results seen in empirical studies testing for the effect of stress on the expression of secondary sexual traits. We conducted a phylogenetically controlled meta-analysis of published associations between physiological correlates of stress and sexual signaling in vertebrates in order to identify any consistent patterns. Our analysis included signaling in both males and females, 4 stress measures, and 4 categories of sexually selected traits (vocalizations, traits that varied in size, traits that varied in coloration, and opposite-sex preference). Across 38 studies of 26 species, there was no significant relationship between physiological correlates of stress and the expression of sexual signals. Mean effect size, however, varied significantly across the 4 types of sexually selected trait. We propose development of a model that incorporates the nuanced effects of species ecology, trait type, ecological context, and the complex nature of the physiological stress response, on the expression of sexually selected traits.

Suggested Citation

  • Fhionna R. Moore & David M. Shuker & Liam Dougherty, 2016. "Stress and sexual signaling: a systematic review and meta-analysis," Behavioral Ecology, International Society for Behavioral Ecology, vol. 27(2), pages 363-371.
    • Handle: RePEc:oup:beheco:v:27:y:2016:i:2:p:363-371.
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    File URL: http://hdl.handle.net/10.1093/beheco/arv195
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    References listed on IDEAS

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    1. Hadfield, Jarrod D., 2010. "MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i02).
    2. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
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    Cited by:

    1. Oded Berger-Tal & Alison L Greggor & Biljana Macura & Carrie Ann Adams & Arden Blumenthal & Amos Bouskila & Ulrika Candolin & Carolina Doran & Esteban Fernández-Juricic & Kiyoko M Gotanda & Catherine , 2019. "Systematic reviews and maps as tools for applying behavioral ecology to management and policy," Behavioral Ecology, International Society for Behavioral Ecology, vol. 30(1), pages 1-8.
    2. Anders Pape Møller & Nicola Saino, 2016. "Sex and stress: a comment on Moore et al," Behavioral Ecology, International Society for Behavioral Ecology, vol. 27(2), pages 372-372.
    3. László Zsolt Garamszegi, 2016. "When limited availability of data meets with a thorough meta-analysis: a comment on Moore et al," Behavioral Ecology, International Society for Behavioral Ecology, vol. 27(2), pages 375-375.

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