4.4 Article

Evolutionary and Plastic Phenotypic Change Can Be Just as Fast as Changes in Population Densities

期刊

AMERICAN NATURALIST
卷 197, 期 1, 页码 47-59

出版社

UNIV CHICAGO PRESS
DOI: 10.1086/711928

关键词

eco-evolutionary dynamics; fast-slow dynamical systems; rapid evolution; population dynamics; phenotypic plasticity; feedbacks

资金

  1. National Science Foundation [1633756]
  2. Direct For Education and Human Resources
  3. Division Of Graduate Education [1633756] Funding Source: National Science Foundation

向作者/读者索取更多资源

By applying scaling theory and fast-slow dynamical systems theory, the study found that evolution and plasticity can drive phenotypic change at rates comparable to changes in population densities, regardless of the mode of adaptation.
Evolution and plasticity can drive population-level phenotypic change (e.g., changes in the mean phenotype) on timescales comparable to changes in population densities. However, it is unclear whether phenotypic change has the potential to be just as fast as changes in densities or whether comparable rates of change occur only when densities are changing slow enough for phenotypes to keep pace. Moreover, it is unclear whether this depends on the mode of adaptation. Using scaling theory and fast-slow dynamical systems theory, we develop a method for comparing maximum rates of density and phenotypic change estimated from population-level time-series data. We apply our method to 30 published empirical studies where changes in morphological traits are caused by evolution, plasticity, or an unknown combination. For every study, the maximum rate of phenotypic change was between 0.5 and 2.5 times faster than the maximum rate of change in density. Moreover, there were no systematic differences between systems with different modes of adaptation. Our results show that plasticity and evolution can drive phenotypic change just as fast as changes in densities. We discuss the implications of our results in terms of the strengths of feedbacks between population densities and traits.

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