Quantification and decomposition of environment-selection relationships
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In nature, selection varies across time in most environments, but we lack an understanding of how specific ecological changes drive this variation. Ecological factors can alter phenotypic selection coefficients through changes in trait distributions or individual mean fitness even when the trait-absolute fitness relationship remains constant. We apply and extend a regression-based approach in a population of Soay sheep (Ovis aries) and suggest unbiased metrics of environment-selection relationships that can be compared across studies. We then introduce a novel method which constructs an environmentally-structured fitness function. This allows calculation of full (as in existing approaches) and partial (acting separately through the absolute fitness function slope, mean fitness, and phenotype distribution) sensitivities of selection to an ecological variable. Both approaches show positive overall effects of density on viability selection of lamb mass. However, the second approach demonstrates that this relationship is primarily driven by effects of density on mean fitness, rather than on the trait-fitness relationship slope. If such mechanisms of environmental dependence of selection are common this could have important implications regarding the frequency of fluctuating selection, and how previous selection inferences relate to longer-term evolutionary dynamics.
Hunter , D C , Pemberton , J , Pilkington , J & Morrissey , M B 2018 , ' Quantification and decomposition of environment-selection relationships ' , Evolution , vol. 72 , no. 4 , pp. 851-866 . https://doi.org/10.1111/evo.13461
© 2018, the Authors. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1111/evo.13461
DescriptionThe long term project on St Kilda has been largely funded by the UK Natural Environment Research Council. M. B. Morrissey is supported by a University Research Fellowship from the Royal Society (London). D. C. Hunter is funded by a PhD Scholarship from the University of St Andrews.
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