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dc.contributor.authorLieber, L
dc.contributor.authorLangrock, R
dc.contributor.authorNimmo-Smith, Alex
dc.date.accessioned2021-04-12T12:42:35Z
dc.date.issued2021-04-28
dc.identifier.issn0962-8452
dc.identifier.issn1471-2954
dc.identifier.otherrspb.2021.0592
dc.identifier.urihttp://hdl.handle.net/10026.1/17034
dc.description.abstract

<jats:p>Understanding physical mechanisms underlying seabird foraging is fundamental to predict responses to coastal change. For instance, turbulence in the water arising from natural or anthropogenic structures can affect foraging opportunities in tidal seas. Yet, identifying ecologically important localized turbulence features (e.g. upwellings approximately 10–100 m) is limited by observational scale, and this knowledge gap is magnified in volatile predators. Here, using a drone-based approach, we present the tracking of surface-foraging terns (143 trajectories belonging to three tern species) and dynamic turbulent surface flow features in synchrony. We thereby provide the earliest evidence that localized turbulence features can present physical foraging cues. Incorporating evolving vorticity and upwelling features within a hidden Markov model, we show that terns were more likely to actively forage as the strength of the underlying vorticity feature increased, while conspicuous upwellings ahead of the flight path presented a strong physical cue to stay in transit behaviour. This clearly encapsulates the importance of prevalent turbulence features as localized foraging cues. Our quantitative approach therefore offers the opportunity to unlock knowledge gaps in seabird sensory and foraging ecology on hitherto unobtainable scales. Finally, it lays the foundation to predict responses to coastal change to inform sustainable ocean development.</jats:p>

dc.format.extent20210592-
dc.format.mediumPrint-Electronic
dc.languageen
dc.language.isoen
dc.publisherRoyal Society, The
dc.subjectforaging cues
dc.subjectseabirds
dc.subjectoceanographic features
dc.subjectturbulence
dc.subjectunmanned aerial vehicles
dc.subjecthidden Markov model
dc.titleA bird’s eye view on turbulence: Seabird foraging associations with evolving surface flow features
dc.typejournal-article
dc.typeJournal Article
dc.typeResearch Support, Non-U.S. Gov't
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000645596700012&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue1949
plymouth.volume288
plymouth.publication-statusPublished
plymouth.journalProceedings of the Royal Society B: Biological Sciences
dc.identifier.doi10.1098/rspb.2021.0592
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Biological and Marine Sciences
plymouth.organisational-group/Plymouth/PRIMaRE Publications
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA07 Earth Systems and Environmental Sciences
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.publisher.placeEngland
dcterms.dateAccepted2021-04-01
dc.rights.embargodate2021-5-28
dc.identifier.eissn1471-2954
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1098/rspb.2021.0592
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2021-04-28
rioxxterms.typeJournal Article/Review


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