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dc.contributor.authorHasenjager, Matthew
dc.contributor.authorHoppitt, William
dc.contributor.authorCunningham‐Eurich, Iona
dc.contributor.authorFranks, Victoria
dc.contributor.authorLeadbeater, Ellouise
dc.date.accessioned2023-11-27T13:45:12Z
dc.date.available2023-11-27T13:45:12Z
dc.date.issued2023-11-27
dc.identifierhttps://chesterrep.openrepository.com/bitstream/handle/10034/628304/1365-2656.14029.pdf?sequence=2
dc.identifier.citationHasenjager, M., Hoppitt, W., Cunningham‐Eurich, I., Franks, V., & Leadbeater, E. (2024). Coupled information networks drive honeybee (Apis mellifera) collective foraging. Journal of Animal Ecology, 93(1), 71-82. https://doi.org/10.1111/1365-2656.14029
dc.identifier.issn0021-8790
dc.identifier.doi10.1111/1365-2656.14029
dc.identifier.urihttp://hdl.handle.net/10034/628304
dc.description.abstractCollective behaviour by eusocial insect colonies is typically achieved through multiple communication networks that produce complex behaviour at the group level but often appear to provide redundant or even competing information. A classic example occurs in honeybee (Apis mellifera) colonies, where both the dance communication system and robust scent‐based mechanisms contribute to the allocation of a colony's workforce by regulating the flow of experienced foragers among known food sources. Here we analysed social connectivity patterns during the reactivation of experienced foragers to familiar feeding sites to show that these social information pathways are not simply multiple means to achieve the same end but intersect to play complementary roles in guiding forager behaviour. Using artificial feeding stations, we mimicked a natural scenario in which two forager groups were simultaneously collecting from distinct patches containing different flowering species. We then observed the reactivation of these groups at their familiar feeding sites after interrupting their foraging. Social network analysis revealed that temporarily unemployed individuals interacted more often and for longer with foragers that advertised a familiar versus unfamiliar foraging site. Due to such resource‐based assortative mixing, network‐based diffusion analysis estimated that reactivation events primarily resulted from interactions among bees that had been trained to the same feeding station and less so from different‐feeder interactions. Both scent‐ and dance‐based interactions strongly contributed to reactivation decisions. However, each bout of dance‐following had an especially strong effect on a follower's likelihood of reactivation, particularly when dances indicated locations familiar to followers. Our findings illustrate how honeybee foragers can alter their social connectivity in ways that are likely to enhance collective outcomes by enabling foragers to rapidly access up‐to‐date information about familiar foraging sites. In addition, our results highlight how reliance on multiple communication mechanisms enables social insect workers to utilise flexible information‐use strategies that are robust to variation in the availability of social information.
dc.languageen
dc.publisherWiley
dc.relation.urlhttps://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2656.14029
dc.rightsLicence for VoR version of this article: http://creativecommons.org/licenses/by/4.0/
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceissn: 0021-8790
dc.sourceissn: 1365-2656
dc.subjectnetwork‐based diffusion analysis
dc.subjectsocial network
dc.subjectsocial insects
dc.subjecthoneybee
dc.subjectsocial transmission
dc.subjectcollective behaviour
dc.titleCoupled information networks drive honeybee (Apis mellifera) collective foraging
dc.typeArticle
dc.identifier.eissn1365-2656
dc.contributor.departmentUniversity of Tennessee; University of London; Natural History Museum, London; University College London; University of Chester
dc.identifier.journalJournal of Animal Ecology
dc.date.updated2023-11-27T13:45:11Z
dc.date.accepted2023-10-13
rioxxterms.funderH2020 European Research Council; doi: http://dx.doi.org/10.13039/100010663; Grant(s): 638873


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