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Evolutionarily stable strategies in stable and periodically fluctuating populations: The Rosenzweig-MacArthur predator-prey model
- Source :
- Proc Natl Acad Sci U S A, Proceedings of the National Academy of Sciences of the United States of America
- Publication Year :
- 2021
-
Abstract
- Significance Many evolutionary studies of ecological systems assume, explicitly or implicitly, ecologically stable population dynamics. Ecological analyses typically assume, on the other hand, no evolution. We study a model (using predator–prey dynamics as an example) combining ecology and evolution within the same framework. For this purpose, we use the evolutionarily stable strategies (ESSs) framework, emphasizing that evolutionary change, in general, will occur as a result of mutant strategies being able to invade a population. The significance of our contribution is to derive mathematical conditions for the existence of an ESS in a periodically limit-cycle ecological system.<br />An evolutionarily stable strategy (ESS) is an evolutionary strategy that, if adapted by a population, cannot be invaded by any deviating (mutant) strategy. The concept of ESS has been extensively studied and widely applied in ecology and evolutionary biology [M. Smith, On Evolution (1972)] but typically on the assumption that the system is ecologically stable. With reference to a Rosenzweig–MacArthur predator–prey model [M. Rosenzweig, R. MacArthur, Am. Nat. 97, 209–223 (1963)], we derive the mathematical conditions for the existence of an ESS when the ecological dynamics have asymptotically stable limit points as well as limit cycles. By extending the framework of Reed and Stenseth [J. Reed, N. C. Stenseth, J. Theoret. Biol. 108, 491–508 (1984)], we find that ESSs occur at values of the evolutionary strategies that are local optima of certain functions of the model parameters. These functions are identified and shown to have a similar form for both stable and fluctuating populations. We illustrate these results with a concrete example.
- Subjects :
- 0106 biological sciences
Food Chain
Dynamical systems theory
Population
Population Dynamics
010603 evolutionary biology
01 natural sciences
Models, Biological
Evolutionarily stable strategy
Stability theory
evolution
Applied mathematics
Animals
Computer Simulation
Limit (mathematics)
education
Ecosystem
Mathematics
education.field_of_study
Multidisciplinary
Population Biology
limit cycles
Applied Mathematics
Computational Biology
Biological Sciences
dynamical systems
Ecology and Evolutionary Biology
Adaptation, Physiological
Biological Evolution
010601 ecology
SI Correction
Predatory Behavior
Physical Sciences
Limit point
ecology
Evolution strategy
Subjects
Details
- ISSN :
- 10916490 and 00278424
- Volume :
- 118
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Proceedings of the National Academy of Sciences of the United States of America
- Accession number :
- edsair.doi.dedup.....440f93a2318b6fc9a7def240f561f335