Abstract

Despite growing interest in animal social networks, surprisingly little is known about whether individuals are consistent in their social network characteristics. Networks are rarely repeatedly sampled; yet an assumption of individual consistency in social behaviour is often made when drawing conclusions about the consequences of social processes and structure. A characterization of such social phenotypes is therefore vital to understanding the significance of social network structure for individual fitness outcomes, and for understanding the evolution and ecology of individual variation in social behaviour more broadly. Here, we measured foraging associations over three winters in a large PIT-tagged population of great tits, and used a range of social network metrics to quantify individual variation in social behaviour. We then examined repeatability in social behaviour over both short (week to week) and long (year to year) timescales, and investigated variation in repeatability across age and sex classes. Social behaviours were significantly repeatable across all timescales, with the highest repeatability observed in group size choice and unweighted degree, a measure of gregariousness. By conducting randomizations to control for the spatial and temporal distribution of individuals, we further show that differences in social phenotypes were not solely explained by within-population variation in local densities, but also reflected fine-scale variation in social decision making. Our results provide rare evidence of stable social phenotypes in a wild population of animals. Such stable social phenotypes can be targets of selection and may have important fitness consequences, both for individuals and for their social-foraging associates.

Highlights

  • The application of social network analysis to animal populations has become an important component of the behavioural ecologist's toolbox, leading to novel insights into the potential costs and benefits of sociality

  • In Blumstein et al (2013) a moderate repeatability was found for a measure of aggressive interactions, with social networks measured over several years (R 1⁄4 0.22), but there was no relationship between social aggression and the individual level personality trait of defensive aggression

  • The 95% CIs overlapped for all but one metric, suggesting that the biological importance of these differences may be relatively minor compared to the overall effect of individual differences in social phenotype

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Summary

Introduction

The application of social network analysis to animal populations has become an important component of the behavioural ecologist's toolbox, leading to novel insights into the potential costs and benefits of sociality. We investigated social behaviour in a PIT-tagged population of great tits over three winters This large-scale study provided a unique opportunity to assess individual consistency in social network position over both short-term (week to week) and longer-term (between years) timescales, by using a grid of feeding stations fitted with RFID antennae to capture ‘snapshots’ of the spatiotemporal flocking patterns of a population of 729e1053 individuals. We compared our repeatability estimates to those calculated from permutations that controlled for the spatial location of individuals in each sampling period This approach corrected for any potentially confounding interaction between social networks and spatiotemporal differences in local population density (Farine et al, 2015). This allowed us to identify the relative contributions to social network position of spatial influences (including dispersal, settlement and movement decisions (Cote & Clobert, 2007; Cote, Fogarty, Weinersmith, Brodin, & Sih, 2010), and more fine-scale variation in social decision making

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