ArticleTheory in biosciences = Theorie in den Biowissenschaften2018
Interaction rates, vital rates, background fitness and replicator dynamics: how to embed evolutionary game structure into realistic population dynamics.
Article in Theory in biosciences = Theorie in den Biowissenschaften, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- An evolutionary game theory for event-driven ecological population dynamics.Theory in biosciences = Theorie in den Biowissenschaften · 2025Article
- Towards a replicator dynamics model of age structured populations.Journal of mathematical biology · 2021Article
- From nest site lottery to host lottery: continuous model of growth suppression driven by the availability of nest sites for newborns or hosts for parasites and its impact on the selection of life history strategies.Theory in biosciences = Theorie in den Biowissenschaften · 2020Article
- A stochastic differential game approach toward animal migration.Theory in biosciences = Theorie in den Biowissenschaften · 2019Article
- Extrinsic Mortality Can Shape Life-History Traits, Including Senescence.Evolutionary biology · 2018Article
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Authors and funding
2 authors.
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Abstract
In this paper we are concerned with how aggregated outcomes of individual behaviours, during interactions with other individuals (games) or with environmental factors, determine the vital rates constituting the growth rate of the population. This approach needs additional elements, namely the rates of event occurrence (interaction rates). Interaction rates describe the distribution of the interaction events in time, which seriously affects the population dynamics, as is shown in this paper. This leads to the model of a population of individuals playing different games, where focal game affected by the considered trait can be extracted from the general model, and the impact on the dynamics of other events (which is not neutral) can be described by an average background fertility and mortality. This leads to a distinction between two types of background fitness, strategically neutral elements of the focal games (correlated with the focal game events) and the aggregated outcomes of other interactions (independent of the focal game). The new approach is useful for clarification of the biological meaning of concepts such as weak selection. Results are illustrated by a Hawk-Dove example.
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Registered trials
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