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dc.contributor.authorWolf, S
dc.contributor.authorNicholls, E
dc.contributor.authorReynolds, AM
dc.contributor.authorWells, P
dc.contributor.authorLim, KS
dc.contributor.authorPaxton, RJ
dc.contributor.authorOsborne, JL
dc.date.accessioned2016-09-29T08:21:37Z
dc.date.issued2016-09-12
dc.description.abstractLévy flights are scale-free (fractal) search patterns found in a wide range of animals. They can be an advantageous strategy promoting high encounter rates with rare cues that may indicate prey items, mating partners or navigational landmarks. The robustness of this behavioural strategy to ubiquitous threats to animal performance, such as pathogens, remains poorly understood. Using honeybees radar-tracked during their orientation flights in a novel landscape, we assess for the first time how two emerging infectious diseases (Nosema sp. and the Varroa-associated Deformed wing virus (DWV)) affect bees' behavioural performance and search strategy. Nosema infection, unlike DWV, affected the spatial scale of orientation flights, causing significantly shorter and more compact flights. However, in stark contrast to disease-dependent temporal fractals, we find the same prevalence of optimal Lévy flight characteristics (μ ≈ 2) in both healthy and infected bees. We discuss the ecological and evolutionary implications of these surprising insights, arguing that Lévy search patterns are an emergent property of fundamental characteristics of neuronal and sensory components of the decision-making process, making them robust against diverse physiological effects of pathogen infection and possibly other stressors.en_GB
dc.description.sponsorshipThis study was funded jointly by a grant from BBSRC, Defra, NERC, the Scottish Government and the Wellcome Trust, under the Insect Pollinators Initiative (grant numbers BB/I00097/1 and BB/I000100/1). Additional support came from the Deutsche Forschungsgemeinschaft (DFG, grant number WO 1745/2-1) to S.W. Rothamsted Research is a national institute of bioscience strategically funded by the UK Biotechnology and Biological Sciences Research Council (BBSRC).en_GB
dc.identifier.citationVol. 6, pp. 32612 -en_GB
dc.identifier.doi10.1038/srep32612
dc.identifier.othersrep32612
dc.identifier.urihttp://hdl.handle.net/10871/23685
dc.language.isoenen_GB
dc.publisherNature Publishing Groupen_GB
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pubmed/27615605en_GB
dc.relation.urlhttp://www.nature.com/articles/srep32612en_GB
dc.rightsThis is the final version of the article. Available from Nature Publishing Group via the DOI in this record.en_GB
dc.subjectAnimal behaviouren_GB
dc.titleOptimal search patterns in honeybee orientation flights are robust against emerging infectious diseases.en_GB
dc.typeArticleen_GB
dc.date.available2016-09-29T08:21:37Z
dc.identifier.issn2045-2322
exeter.place-of-publicationEnglanden_GB
dc.descriptionPublished onlineen_GB
dc.descriptionJournal Articleen_GB
dc.identifier.journalScientific Reportsen_GB


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