Evolutionarily stable mating decisions for sequentially searching females and the stability of reproductive isolation by assortative mating Journal Article


Author(s): Priklopil, Tadeas; Kisdi, Eva; Gyllenberg, Mats
Article Title: Evolutionarily stable mating decisions for sequentially searching females and the stability of reproductive isolation by assortative mating
Affiliation IST Austria
Abstract: We consider mating strategies for females who search for males sequentially during a season of limited length. We show that the best strategy rejects a given male type if encountered before a time-threshold but accepts him after. For frequency-independent benefits, we obtain the optimal time-thresholds explicitly for both discrete and continuous distributions of males, and allow for mistakes being made in assessing the correct male type. When the benefits are indirect (genes for the offspring) and the population is under frequency-dependent ecological selection, the benefits depend on the mating strategy of other females as well. This case is particularly relevant to speciation models that seek to explore the stability of reproductive isolation by assortative mating under frequency-dependent ecological selection. We show that the indirect benefits are to be quantified by the reproductive values of couples, and describe how the evolutionarily stable time-thresholds can be found. We conclude with an example based on the Levene model, in which we analyze the evolutionarily stable assortative mating strategies and the strength of reproductive isolation provided by them.
Journal Title: Evolution
Volume: 69
Issue 4
ISSN: 1558-5646
Publisher: Wiley-Blackwell  
Date Published: 2014-04-01
Start Page: 1015
End Page: 1026
DOI: 10.1111/evo.12618
Notes: We thank two anonymous reviewers whose comments on an earlier manuscript greatly improved this article. The research leading to these results received funding from the Academy of Finland and the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013) under REA grant agreement no. 291734.
Open access: no