Personality and collective decision-making in foraging herbivores

Michelena, Pablo; Jeanson, Raphaël; Deneubourg, Jean‐Louis; Sibbald, A. R.

doi:10.1098/rspb.2009.1926

Cited by 104 publications

(100 citation statements)

References 69 publications

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“…Michelena et al 2010;Sibbald et al 2009), with it being shown that the boldness or shyness of individual sheep influences their grazing behaviours. Our set of results builds on this by indicating that sheep have temperament-related social preference for specific individuals within a flock; the temperament of both sheep within a pair, specifically their responsiveness in isolation, appears to be a factor driving social contact.…”

Section: Discussionmentioning

confidence: 99%

Temperament, age and weather predict social interaction in the sheep flock

Doyle

Broster

Barnes

et al. 2016

Behavioural Processes

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Please cite this article as: Doyle, Rebecca E., Broster, John C., Barnes, Kirsty, Browne, William J., Temperament, age and weather predict social interaction in the sheep flock.Behavioural Processes http://dx.doi.org/10. 1016/j.beproc.2016.08.004 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights: Sheep appear to have temperament-related social preference for specific individuals within a flock. Age, rainfall and temperature all affected social interactions of the sheep flock. Vocalisations and movement scores in the isolation box test are well correlated over time, but the two types of behaviours were poorly correlated with each other, suggesting they reflect different things. Multiple Membership Multiple Classification modelling is a useful way to analyse social structures of the flock and make predictions on how animal or environment circumstances affect social behaviour. AbstractThe aim of the current study was to investigate the social relationships between individual sheep, and factors that influence this, through the novel application of the statistical multiple

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Section: Discussionmentioning

confidence: 99%

Temperament, age and weather predict social interaction in the sheep flock

Doyle

Broster

Barnes

et al. 2016

Behavioural Processes

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“…Rather than boldness correlating with leaderfollower relationships per se, high social transmission rates may have resulted from mixed groups containing both effective information producers-i.e., bold fish-along with shy individuals that may have been more likely to acquire social information and/or contributed to social conditions that facilitated transmission. Regardless of the mechanism(s) at work, these results are consistent with the idea that phenotypic diversity can facilitate flexible group-level responses to environmental challenges (Burns & Dyer, 2008;Michelena et al, 2010;Aplin et al, 2014).…”

Section: Discussionsupporting

confidence: 77%

“…Conversely, within-group phenotypic diversity can facilitate flexible group-level responses to environmental variation (Burns & Dyer, 2008;Michelena et al, 2010) and can enhance group-level outcomes via synergistic interactions between phenotypic traits (Pruitt & Riechert, 2011;Aplin et al, 2014). As such, whether or not grouping is beneficial varies between individuals, across groups, and over time.…”

Section: Introductionmentioning

confidence: 99%

Social dynamics, network structure, and information diffusion in fish shoals.

Hasenjager¹

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for always ensuring my library was well-stocked, and for fostering my enduring love of the natural world. Animal populations are often highly structured, with individuals differing in terms of whom they interact with and how frequently they do so. The resulting pattern of relationships constitutes a population's social network. In this dissertation, I examine how environmental variation can shape social networks and influence information flow within them. In Chapter I, I review the history of social network analysis in animal behavior research, and discuss recent insights generated by network approaches in behavioral ecology. I focus on the fields of: social learning, collective behavior, animal personalities, and cooperation. Animal network studies are often criticized for a lack of replication at the network level and an over-reliance on descriptive approaches in lieu of hypothesis testing. Small, shoaling fish may provide a means to address these concerns, as manipulative experiments can be conducted on replicate social groups under captive conditions. Chapters III-V examine the impacts of environmental variation on the social networks of Trinidadian guppy (Poecilia reticulata) shoals, the social dynamics from which they emerge, and information diffusion within them. In the experiments described in Chapter III, I manipulated shoal composition in terms of within-group familiarity.Mixed shoals of familiar and unfamiliar fish exhibited greater homogeneity in network vi structure relative to other groups, which likely contributed to the rapid diffusion of foraging information observed within them. In the experiments discussed in Chapter IV, Imanipulated the within-shoal mixture of personality types. In addition to impacting frequencies of partner switching and patterns of phenotypic assortment, individual-and group-level personality variation had strong effects on the initial acquisition of novel foraging information and the speed of its transmission through a group. In the experiments in Chapter V, I manipulated the ambient predation risk perceived by groups.High-risk conditions were associated with shifts in network structure consistent with attempts to minimize predation risk. High ambient risk also impeded the acquisition and subsequent transmission of foraging information, likely due to heightened neophobia and/or an increase in the perceived costs of personal sampling. I conclude in Chapter VI by considering the broader implications of my work and highlighting promising avenues for future research.vii

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“…The personality's role in social dynamics remains largely unexplored [29,30]. Hence, the main objective of this study is to integrate personality into the study of aggregation dynamics and the related collective decision-making process in a group of cockroaches (Periplaneta americana).…”

Section: Introductionmentioning

confidence: 99%

Group personality during collective decision-making: a multi-level approach

et al. 2015

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Collective decision-making processes emerge from social feedback networks within a group. Many studies on collective behaviour underestimate the role of individual personality and, as a result, personality is rarely analysed in the context of collective dynamics. Here, we show evidence of sheltering behaviour personality in a gregarious insect (Periplaneta americana), which is characterized by a collective personality at the group level. We also highlight that the individuals within groups exhibited consistent personality traits in their probability of sheltering and total time sheltered during the three trials over one week. Moreover, the group personality, which arises from the synergy between the distribution of behaviour profiles in the group and social amplifications, affected the sheltering dynamics. However, owing to its robustness, personality did not affect the group probability of reaching a consensus. Finally, to prove social interactions, we developed a new statistical method that will be helpful for future research on personality traits and group behaviour. This approach will help to identify the circumstances under which particular group compositions may improve the fitness of individuals in gregarious species.

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Personality and collective decision-making in foraging herbivores

Cited by 104 publications

References 69 publications

Temperament, age and weather predict social interaction in the sheep flock

Temperament, age and weather predict social interaction in the sheep flock

Social dynamics, network structure, and information diffusion in fish shoals.

Group personality during collective decision-making: a multi-level approach

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