AustralieFrV1, Main, Exploration, bibRecord, 008607

Evolution of flowering decisions in a stochastic, density-dependent environment

Identifieur interne : 008607 ( Main/Exploration ); précédent : 008606; suivant : 008608

Evolution of flowering decisions in a stochastic, density-dependent environment

Auteurs : C. J. E. Metcalf [États-Unis] ; K. E. Rose [Royaume-Uni] ; D. Z. Childs [Royaume-Uni] ; A. W. Sheppard [France] ; P. J. Grubb [Royaume-Uni] ; M. Rees [Royaume-Uni]

Source :

Proceedings of the National Academy of Sciences of the United States of America [ 0027-8424 ] ; 2008.

RBID : PMC:2492471

Abstract

Demography is central to both ecology and evolution, and characterizing the feedback between ecology and evolution is critical for understanding organisms' life histories and how these might evolve through time. Here, we show how, by combining a range of theoretical approaches with the statistical analysis of individually structured databases, accurate prediction of life history decisions is possible in natural density-regulated populations undergoing large fluctuations in demographic rates from year to year. Our predictions are remarkably accurate and statistically well defined. In addition, we show that the predicted trait values are evolutionarily and convergence stable and that protected polymorphisms are possible.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2492471

DOI: 10.1073/pnas.0800777105
PubMed: 18641119
PubMed Central: 2492471

Affiliations:

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Evolution of flowering decisions in a stochastic, density-dependent environment

Evolution of flowering decisions in a stochastic, density-dependent environment

Source :

Abstract

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