交配
人口
变化(天文学)
社交网络(社会语言学)
交配系统
社会网络分析
比例(比率)
自适应值
社会心理学
心理学
生物
计算机科学
生态学
社会学
人口学
地理
地图学
天体物理学
物理
万维网
社会化媒体
作者
Adriana A. Maldonado‐Chaparro,Pierre‐Olivier Montiglio,Wolfgang Forstmeier,Bart Kempenaers,Damien R. Farine
摘要
ABSTRACT 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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