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dc.contributor.authorInvernizzi, E.
dc.contributor.authorMichelot, T.
dc.contributor.authorPopov, V.
dc.contributor.authorNg, N.
dc.contributor.authorMacqueen, E.
dc.contributor.authorRouviere, A.
dc.contributor.authorWebster, M.
dc.contributor.authorSasaki, T.
dc.date.accessioned2024-03-18T12:30:01Z
dc.date.available2024-03-18T12:30:01Z
dc.date.issued2024-04-01
dc.identifier299590435
dc.identifiera921d0d1-f7a6-450a-a8b6-85f38c40eacc
dc.identifier85186081436
dc.identifier.citationInvernizzi , E , Michelot , T , Popov , V , Ng , N , Macqueen , E , Rouviere , A , Webster , M & Sasaki , T 2024 , ' Identifying cues for self-organized nest wall-building behaviour in the rock ant, Temnothorax rugatulus , using hidden Markov models ' , Animal Behaviour , vol. 210 , pp. 315-330 . https://doi.org/10.1016/j.anbehav.2024.01.008en
dc.identifier.issn0003-3472
dc.identifier.otherRIS: urn:E94CF5496CE830C12E469F145AB7DBB1
dc.identifier.otherORCID: /0000-0001-9597-6871/work/156133711
dc.identifier.urihttps://hdl.handle.net/10023/29519
dc.descriptionFunding: E.I.’s Ph.D. was funded by the John Templeton Foundation as part of the research collaboration grant ‘Putting the extended evolutionary synthesis to the test’ (grant no. 60501). The postdoctoral research project that followed this initial work was funded by an ASAB research grant to M.W. and E.I.en
dc.description.abstractEuropean Temnothorax albipennis and its American counterpart Temnothorax rugatulus build circular walls to limit their nest area within a rock crevice. To determine wall position, workers are thought to rely on a distance template (from the cluster of brood and nurses at the nest centre) and on indirect social (i.e. stigmergic) information found in the aggregations of already-deposited building material. Analytical and simulation models of this behaviour predict that the combination of these two mechanisms can produce the observed wall structure, but there is so far no empirical evidence of either mechanism. Here, we find statistical evidence in support of the stigmergic relationship between stone density and deposition behaviour. We apply hidden Markov models (HMMs) to analyse wall-building data from four colonies of T. rugatulus. We show that material deposition activity changes following a parabolic relationship with the density of building material at building sites, different from the linear relationship hypothesized previously. This parabolic curve is similar to behavioural response curves identified in the nest enlargement process of several ant species. In addition, HMM analysis indicates the existence of two distinct states in T. rugatulus building activity. These states are associated with different mean building rates (that is, the two states can be described as a high and a low activity state) and might be caused by changes in task priorities during the colony process of settling into a new nest. This study updates one of the earliest models of self-organized animal behaviour.
dc.format.extent16
dc.format.extent2169458
dc.language.isoeng
dc.relation.ispartofAnimal Behaviouren
dc.subjectAnt nest buildingen
dc.subjectCollective behaviouren
dc.subjectHidden Markov modelen
dc.subjectSelf-organizationen
dc.subjectTemnothoraxen
dc.subjectQL Zoologyen
dc.subjectDASen
dc.subjectMCCen
dc.subject.lccQLen
dc.titleIdentifying cues for self-organized nest wall-building behaviour in the rock ant, Temnothorax rugatulus, using hidden Markov modelsen
dc.typeJournal articleen
dc.contributor.sponsorJohn Templeton Foundationen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. Centre for Biological Diversityen
dc.contributor.institutionUniversity of St Andrews. Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews. Centre for Social Learning & Cognitive Evolutionen
dc.identifier.doi10.1016/j.anbehav.2024.01.008
dc.description.statusPeer revieweden
dc.identifier.grantnumber60501en


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