title: Optimal life-history schedule in a metapopulation with juvenile dispersal.
abstract: Previous models have predicted that when mortality increases with age, older individuals should invest more of their resources in reproduction and produce less dispersive offspring, as both their future reproductive value and their prospect of competing with their own sib decline. Those models assumed stable population sizes. We here study for the first time the evolution of age-specific reproductive effort and of age-specific offspring dispersal rate in a metapopulation with extinction-recolonization dynamics and juvenile dispersal. Our model explores the evolutionary consequences of disequilibrium in the age structure of individuals in local populations, generated by disturbances. Life-history decisions are then shaped both by changes with age in individual performances, and by changes in ecological conditions, as young and old individuals do not live on average in the same environments. Lower juvenile dispersal favours the evolution of higher reproductive effort in young adults in a metapopulation with extinction-recolonization compared with a well-mixed population. Contrary to previous predictions for stable structured populations, we find that offspring dispersal should generally increase with maternal age. This is because young individuals, who are overrepresented in recently colonized populations, should allocate more to reproduction and less to dispersal as a strategy to exploit abundant recruitment opportunities in such populations.
authors.affiliation: Université Montpellier 2, CNRS, Institut des Sciences de l'Evolution, Montpellier cedex 5, France. olivier.cotto@univ-montp2.fr
authors.forename: O
authors.initials: O
authors.lastname: Cotto
authors.forename: I
authors.initials: I
authors.lastname: Olivieri
authors.forename: O
authors.initials: O
authors.lastname: Ronce
mesh_terms: D063147:Animal Distribution; D000818:Animals; D005075:Biological Evolution; D005260:Female; D008018:Life Cycle Stages; D008423:Maternal Age; D008957:Models, Genetic; D011157:Population Dynamics