Literature DB >> 24299465

Evolution in fluctuating environments: decomposing selection into additive components of the Robertson-Price equation.

Steinar Engen1, Bernt-Erik Saether.   

Abstract

We analyze the stochastic components of the Robertson-Price equation for the evolution of quantitative characters that enables decomposition of the selection differential into components due to demographic and environmental stochasticity. We show how these two types of stochasticity affect the evolution of multivariate quantitative characters by defining demographic and environmental variances as components of individual fitness. The exact covariance formula for selection is decomposed into three components, the deterministic mean value, as well as stochastic demographic and environmental components. We show that demographic and environmental stochasticity generate random genetic drift and fluctuating selection, respectively. This provides a common theoretical framework for linking ecological and evolutionary processes. Demographic stochasticity can cause random variation in selection differentials independent of fluctuating selection caused by environmental variation. We use this model of selection to illustrate that the effect on the expected selection differential of random variation in individual fitness is dependent on population size, and that the strength of fluctuating selection is affected by how environmental variation affects the covariance in Malthusian fitness between individuals with different phenotypes. Thus, our approach enables us to partition out the effects of fluctuating selection from the effects of selection due to random variation in individual fitness caused by demographic stochasticity.
© 2013 The Author(s). Evolution © 2013 The Society for the Study of Evolution.

Keywords:  Demographic stochasticity; Price equation; environmental stochasticity; fluctuating selection; genetic drift; individual fitness; quantitative genetics

Mesh:

Year:  2013        PMID: 24299465     DOI: 10.1111/evo.12310

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


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