| Literature DB >> 34004132 |
Paul Acker1,2, Sarah J Burthe3, Mark A Newell3, Hannah Grist4, Carrie Gunn3, Michael P Harris3, Ana Payo-Payo1, Robert Swann5, Sarah Wanless3, Francis Daunt3, Jane M Reid1,2.
Abstract
Quantifying temporal variation in sex-specific selection on key ecologically relevant traits, and quantifying how such variation arises through synergistic or opposing components of survival and reproductive selection, is central to understanding eco-evolutionary dynamics, but rarely achieved. Seasonal migration versus residence is one key trait that directly shapes spatio-seasonal population dynamics in spatially and temporally varying environments, but temporal dynamics of sex-specific selection have not been fully quantified. We fitted multi-event capture-recapture models to year-round ring resightings and breeding success data from partially migratory European shags (Phalacrocorax aristotelis) to quantify temporal variation in annual sex-specific selection on seasonal migration versus residence arising through adult survival, reproduction and the combination of both (i.e. annual fitness). We demonstrate episodes of strong and strongly fluctuating selection through annual fitness that were broadly synchronized across females and males. These overall fluctuations arose because strong reproductive selection against migration in several years contrasted with strong survival selection against residence in years with extreme climatic events. These results indicate how substantial phenotypic and genetic variation in migration versus residence could be maintained, and highlight that biologically important fluctuations in selection may not be detected unless both survival selection and reproductive selection are appropriately quantified and combined.Entities:
Keywords: annual fitness; extreme climatic event; fecundity selection; multi-event capture–recapture; partial migration; sex-specific selection
Mesh:
Year: 2021 PMID: 34004132 PMCID: PMC8131125 DOI: 10.1098/rspb.2021.0404
Source DB: PubMed Journal: Proc Biol Sci ISSN: 0962-8452 Impact factor: 5.530