Math. Model. Nat. Phenom.
Volume 11, Number 4, 2016Ecology, Epidemiology and Evolution
|Page(s)||135 - 153|
|Published online||19 July 2016|
Effects of Fast Hawk-Dove-Bully Game on the Dynamics of a Stage-structured Population
Department of Mathematics, Faculty of Sciences, University of Tlemcen. Algeria
2 IRD, UMI 209, UMMISCO, IRD France Nord, F-93143, Bondy, France
3 UPMC, University Paris 6, UMI 209, UMMISCO, F-75005, Paris, France
4 UMMISCO-Dakar, University Cheikh Anta Diop, Dakar, Senegal
In this paper, we present a review about mathematical models of population and community dynamics incorporating individual behaviour. The considered models consist in coupling a game theoretic model, going on at a fast time scale and that describes the change of tactics among individuals in a population or in a community to a model going on at a slow time scale describing the effects in the long term of individual tactics on reproduction and mortality of the populations. As application, an extension of a stage-structured population with intra-individual behavioural variability is presented. Individuals can adopt three different tactics: hawk, dove and bully. We consider a stage-structured population with immature and mature individuals. A mature individual experiences the different tactics in his life and it is assumed that the game is played at a fast time scale in comparison to population dynamics. This fast part of the model is coupled to a slow part, which describes the growth of each sub-population. By use of aggregation of variables methods, we obtain a reduced system of two differential equations governing immature and total mature sub-populations at the slow time scale. The analysis of the model shows that when the cost of fightings is smaller, the proportion of hawks is larger. The total population size equilibrium shows a maximum with respect to the gain of the game.
Mathematics Subject Classification: 91A80 / 92D25 / 37N25
Key words: game theory / Hawk-Dove-Bully model / population dynamics / aggregation of variables
© EDP Sciences, 2016
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