Literature DB >> 24920116

Extinction risk and eco-evolutionary dynamics in a variable environment with increasing frequency of extreme events.

Simone Vincenzi1.   

Abstract

One of the most dramatic consequences of climate change will be the intensification and increased frequency of extreme events. I used numerical simulations to understand and predict the consequences of directional trend (i.e. mean state) and increased variability of a climate variable (e.g. temperature), increased probability of occurrence of point extreme events (e.g. floods), selection pressure and effect size of mutations on a quantitative trait determining individual fitness, as well as the their effects on the population and genetic dynamics of a population of moderate size. The interaction among climate trend, variability and probability of point extremes had a minor effect on risk of extinction, time to extinction and distribution of the trait after accounting for their independent effects. The survival chances of a population strongly and linearly decreased with increasing strength of selection, as well as with increasing climate trend and variability. Mutation amplitude had no effects on extinction risk, time to extinction or genetic adaptation to the new climate. Climate trend and strength of selection largely determined the shift of the mean phenotype in the population. The extinction or persistence of the populations in an 'extinction window' of 10 years was well predicted by a simple model including mean population size and mean genetic variance over a 10-year time frame preceding the 'extinction window', although genetic variance had a smaller role than population size in predicting contemporary risk of extinction.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Keywords:  climate change; extremes; population dynamics; selection

Mesh:

Year:  2014        PMID: 24920116      PMCID: PMC4208378          DOI: 10.1098/rsif.2014.0441

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  32 in total

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Authors:  Tom C Cameron; Daniel O'Sullivan; Alan Reynolds; Stuart B Piertney; Tim G Benton
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