Bringing a Time–Depth Perspective to Collective Animal Behaviour

Dora Biro, Taka Sasaki, Steve Portugal

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Abstract

The field of collective animal behaviour examines how relatively simple, local interactions between individuals in groups combine to produce global-level outcomes. Existing mathematical models and empirical work have identified candidate mechanisms for numerous collective phenomena, but have typically focused on one-off or short-term performance. We argue that feedback between collective performance and learning – giving the former the capacity to become an adaptive, and potentially cumulative, process – is a currently poorly explored, but crucial mechanism in understanding collective systems. We synthesise material ranging from swarm intelligence in social insects, through collective movements in vertebrates, to collective decision-making in animal and human groups, to propose avenues for future research to identify the potential for changes in these systems to accumulate over time.
Original languageEnglish
Pages (from-to)550–562
Number of pages13
JournalTrends in Ecology and Evolution
Volume31
Issue number7
Early online date19 Apr 2016
DOIs
Publication statusPublished - Jul 2016

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