Network-based diffusion analysis reveals context-specific dominance of dance communication in foraging honeybees

Matthew J. Hasenjager (), William Hoppitt and Ellouise Leadbeater
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Matthew J. Hasenjager: Royal Holloway University of London
William Hoppitt: Royal Holloway University of London
Ellouise Leadbeater: Royal Holloway University of London

Nature Communications, 2020, vol. 11, issue 1, 1-9

Abstract: Abstract The honeybee (Apis mellifera) dance communication system is a marvel of collective behaviour, but the added value it brings to colony foraging efficiency is poorly understood. In temperate environments, preventing communication of foraging locations rarely decreases colony food intake, potentially because simultaneous transmission of olfactory information also plays a major role in foraging. Here, we employ social network analyses that quantify information flow across multiple temporally varying networks (each representing a different interaction type) to evaluate the relative contributions of dance communication and hive-based olfactory information transfer to honeybee recruitment events. We show that virtually all successful recruits to novel locations rely upon dance information rather than olfactory cues that could otherwise guide them to the same resource. Conversely, during reactivation to known sites, dances are relatively less important, as foragers are primarily guided by olfactory information. By disentangling the contributions of multiple information networks, the contexts in which dance communication truly matters amid a complex system full of redundancy can now be identified.

Date: 2020
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DOI: 10.1038/s41467-020-14410-0

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