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

C J E Metcalf1, K E Rose, D Z Childs

  • 1Duke Population Research Institute, Duke University, Durham, NC 27707, USA. cjm29@duke.edu

Proceedings of the National Academy of Sciences of the United States of America
|July 22, 2008
PubMed
Summary

This study demonstrates accurate predictions of life history decisions in fluctuating populations by integrating theoretical ecology and evolution with statistical analysis of demographic data. These findings are evolutionarily stable, allowing for protected polymorphisms.

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