Linking the fine‐scale social environment to mating decisions: a future direction for the study of extra‐pair paternity
Linking the fine‐scale social environment to mating decisions: a future direction for the study of extra‐pair paternity
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DOI：
10.1111/brv.12408
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发表时间：
2018-08
影响因子：
10
通讯作者：
A. Maldonado‐Chaparro;Pierre-Olivier Montiglio;W. Forstmeier;B. Kempenaers;D. Farine
中科院分区：
文献类型：
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作者：
A. Maldonado‐Chaparro;Pierre-Olivier Montiglio;W. Forstmeier;B. Kempenaers;D. Farine
同一群体中个体间的额外配对亲子关系（EPP）的变化可能是随机人口统计学或交配策略的个体差异造成的。虽然EPP的适应价值已经得到了广泛的研究，但对驱动EPP观察模式的社会环境特征知之甚少。在这里，我们展示了社会行为研究的概念和成熟的工具（如社会网络分析）如何加强对额外配对交配决策的研究（特别是专注于鸟类交配系统）。我们提出了几个假设，描述了个人嵌入的社会环境的特点可能会影响EPP在社会一夫一妻制的人口水平。我们使用多层次的社会方法（Hinde，1976）来详细描述群体中个体的社会结构和社会动态。我们认为，对键，直接（本地）的社会环境和间接（扩展）的社会环境，可以以不同的方式在EPP模式中观察到的变化，在个人和群体水平。这种方法的优势在于它整合了与种群中所有潜在配偶的（间接）相互作用的分析，从而扩展了目前的框架来研究额外配对的交配行为。我们还鼓励应用社会网络方法，如时间动态分析，以描绘在一个群体中的个人之间的互动模式的时间变化，并研究这如何影响交配行为。我们认为，这一新的框架将有助于更好地了解近的机制，驱动EPP的变化在社会一夫一妻制的物种种群内，并可能最终提供深入了解交配系统的进化和维护。
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.