Social information use and collective foraging in a pursuit diving seabird

Autoři: Julian C. Evans aff001;  Colin J. Torney aff002;  Stephen C. Votier aff003;  Sasha R. X. Dall aff001
Působiště autorů: Centre for Ecology and Conservation, University of Exeter, Penryn Campus, Penryn, Cornwall, United Kingdom aff001;  School of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom aff002;  Environment & Sustainability Institute, University of Exeter, Penryn Campus, Penryn, Cornwall, United Kingdom aff003
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
doi: 10.1371/journal.pone.0222600


Individuals of many species utilise social information whilst making decisions. While many studies have examined social information in making large scale decisions, there is increasing interest in the use of fine scale social cues in groups. By examining the use of these cues and how they alter behaviour, we can gain insights into the adaptive value of group behaviours. We investigated the role of social information in choosing when and where to dive in groups of socially foraging European shags. From this we aimed to determine the importance of social information in the formation of these groups. We extracted individuals’ surface trajectories and dive locations from video footage of collective foraging and used computational Bayesian methods to infer how social interactions influence diving. Examination of group spatial structure shows birds form structured aggregations with higher densities of conspecifics directly in front of and behind focal individuals. Analysis of diving behaviour reveals two distinct rates of diving, with birds over twice as likely to dive if a conspecific dived within their visual field in the immediate past. These results suggest that shag group foraging behaviour allows individuals to sense and respond to their environment more effectively by making use of social cues.

Klíčová slova:

Animal behavior – Birds – Cameras – Collective animal behavior – Foraging – Predation – Animal sociality – Bayesian method


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