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

CJE Metcalf, K.E Rose, D.Z Childs, A. Sheppard, PJ Grubb, M Rees

    Research output: Contribution to journalArticlepeer-review

    44 Citations (Scopus)
    8 Downloads (Pure)


    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.
    Original languageEnglish
    Pages (from-to)10466-10470
    Number of pages5
    JournalProceedings of the National Academy of Sciences of the United States of America
    Issue number30
    Publication statusPublished - 2008


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