期刊
AMERICAN NATURALIST
卷 177, 期 4, 页码 397-409出版社
UNIV CHICAGO PRESS
DOI: 10.1086/658903
关键词
stage structure; demography; Price's theorem; Lande's theorem; Trillium
资金
- University of Florida Foundation
- National Science Foundation (NSF) [DEB-0515451, DEB-0919376, DEB-0525751, DEB-0515598]
- National Institutes of Health [GM-083192]
- Division Of Environmental Biology
- Direct For Biological Sciences [0919230, 0919376] Funding Source: National Science Foundation
For many organisms, stage is a better predictor of demographic rates than age. Yet no general theoretical framework exists for understanding or predicting evolution in stage-structured populations. Here, we provide a general modeling approach that can be used to predict evolution and demography of stage-structured populations. This advances our ability to understand evolution in stage-structured populations to a level previously available only for populations structured by age. We use this framework to provide the first rigorous proof that Lande's theorem, which relates adaptive evolution to population growth, applies to stage-classified populations, assuming only normality and that evolution is slow relative to population dynamics. We extend this theorem to allow for different means or variances among stages. Our next major result is the formulation of Price's theorem, a fundamental law of evolution, for stage-structured populations. In addition, we use data from Trillium grandiflorum to demonstrate how our models can be applied to a real-world population and thereby show their practical potential to generate accurate projections of evolutionary and population dynamics. Finally, we use our framework to compare rates of evolution in age-versus stage-structured populations, which shows how our methods can yield biological insights about evolution in stage-structured populations.
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