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Published on: May 18, 2022
Density dependence, lifespan and the evolutionary dynamics of longevity
Michael B Bonsall1, Marc Mangel
1Mathematical Ecology Research Group, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK. michael.bonsall@zoo.ox.ac.uk
Evolutionary analysis of longevity is expanding beyond density-independent models. Density dependence significantly influences lifespan evolution, mortality, and diversification, revealing flat fitness landscapes crucial for understanding senescence.
Area of Science:
- Evolutionary Biology
- Population Genetics
- Theoretical Ecology
Background:
- Longevity is a key life-history trait shaped by natural selection.
- Current evolutionary analyses of longevity primarily use density-independent frameworks (e.g., Euler-Lotka).
- The impact of density dependence on lifespan evolution remains under-explored.
Purpose of the Study:
- To investigate how diverse population demographies influence the evolution of longevity.
- To explore the link between density-dependent longevity evolution and adaptive radiations.
- To analyze the effects of mutation characteristics on fitness, invasion, and diversification.
Main Methods:
- Development and analysis of a range of theoretical models.
- Exploration of intraspecific and interspecific density effects on longevity.
- Modeling the influence of mutation magnitude, type, and timing.
Main Results:
- Density dependence significantly impacts the evolution of lifespan and mortality trajectories.
- Demographic structures, mutation properties, and density effects influence diversification.
- Alternative evolutionary strategies under varying demographics result in flat fitness landscapes.
Conclusions:
- Density-dependent factors are critical for a comprehensive understanding of longevity evolution.
- Flat fitness landscapes, arising from specific demographic structures, are important for lifespan evolution and senescence.
- This framework provides new insights into adaptive radiations and diversification processes.
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