TY - JOUR
T1 - Linking the fine-scale social environment to mating decisions
T2 - a future direction for the study of extra-pair paternity
AU - Maldonado-Chaparro, Adriana A.
AU - Montiglio, Pierre Olivier
AU - Forstmeier, Wolfgang
AU - Kempenaers, Bart
AU - Farine, Damien R.
N1 - Funding Information:
We thank two anonymous reviewers, Josh Firth, Kristina Beck, and the Farine Lab for comments and discussions on early versions of the manuscript. We also thank Laila Darouich, Jana Hörsch, Alex Bruttel, Wolfgang Fiedler, Inge Müller, and the Animal Caretakers in Radolfzell for assistance with the case study. This work was funded by the Max Planck Society. D. R. F., A. A. M. -C., and P. -O. M. received additional funding from the German Research Foundation (DFG grants FA 1420/3-1 and FA 1420/4-1 awarded to D. R. F.).
Publisher Copyright:
© 2018 Cambridge Philosophical Society
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/8
Y1 - 2018/8
N2 - Variation in extra-pair paternity (EPP) among individuals of the same population could result from stochastic demography or from individual differences in mating strategies. Although the adaptive value of EPP has been widely studied, much less is known about the characteristics of the social environment that drive the observed patterns of EPP. Here, we demonstrate how concepts and well-developed tools for the study of social behaviour (such as social network analysis) can enhance the study of extra-pair mating decisions (focussing in particular on avian mating systems). We present several hypotheses that describe how characteristics of the social environment in which individuals are embedded might influence the levels of EPP in a socially monogamous population. We use a multi-level social approach (Hinde, 1976) to achieve a detailed description of the social structure and social dynamics of individuals in a group. We propose that the pair-bond, the direct (local) social environment and the indirect (extended) social environment, can contribute in different ways to the variation observed in the patterns of EPP, at both the individual and the population level. A strength of this approach is that it integrates into the analysis (indirect) interactions with all potential mates in a population, thus extending the current framework to study extra-pair mating behaviour. We also encourage the application of social network methods such as temporal dynamic analysis to depict temporal changes in the patterns of interactions among individuals in a group, and to study how this affects mating behaviour. We argue that this new framework will contribute to a better understanding of the proximate mechanisms that drive variation in EPP within populations in socially monogamous species, and might ultimately provide insights into the evolution and maintenance of mating systems.
AB - Variation in extra-pair paternity (EPP) among individuals of the same population could result from stochastic demography or from individual differences in mating strategies. Although the adaptive value of EPP has been widely studied, much less is known about the characteristics of the social environment that drive the observed patterns of EPP. Here, we demonstrate how concepts and well-developed tools for the study of social behaviour (such as social network analysis) can enhance the study of extra-pair mating decisions (focussing in particular on avian mating systems). We present several hypotheses that describe how characteristics of the social environment in which individuals are embedded might influence the levels of EPP in a socially monogamous population. We use a multi-level social approach (Hinde, 1976) to achieve a detailed description of the social structure and social dynamics of individuals in a group. We propose that the pair-bond, the direct (local) social environment and the indirect (extended) social environment, can contribute in different ways to the variation observed in the patterns of EPP, at both the individual and the population level. A strength of this approach is that it integrates into the analysis (indirect) interactions with all potential mates in a population, thus extending the current framework to study extra-pair mating behaviour. We also encourage the application of social network methods such as temporal dynamic analysis to depict temporal changes in the patterns of interactions among individuals in a group, and to study how this affects mating behaviour. We argue that this new framework will contribute to a better understanding of the proximate mechanisms that drive variation in EPP within populations in socially monogamous species, and might ultimately provide insights into the evolution and maintenance of mating systems.
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U2 - 10.1111/brv.12408
DO - 10.1111/brv.12408
M3 - Research Article
C2 - 29533010
AN - SCOPUS:85043604964
SN - 1464-7931
VL - 93
SP - 1558
EP - 1577
JO - Biological Reviews
JF - Biological Reviews
IS - 3
ER -