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Using Unmanned Aerial Vehicle (UAV) Imagery to Characterise Pursuit-Diving Seabird Association With Tidal Stream Hydrodynamic Habitat Features

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dc.contributor.authorSlingsby, James
dc.contributor.authorScott, Beth E.
dc.contributor.authorKregting, Louise
dc.contributor.authorMcIlvenny, Jason
dc.contributor.authorWilson, Jared
dc.contributor.authorYanez, Marion
dc.contributor.authorLanglois, Samuel
dc.contributor.authorWilliamson, Benjamin J.
dc.contributor.institutionUniversity of Aberdeen.Centre for Energy Transitionen
dc.contributor.institutionUniversity of Aberdeen.Marine Alliance for Science and Technology for Scotland (MASTS)en
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.contributor.institutionUniversity of Aberdeen.University of Aberdeenen
dc.date.accessioned2022-03-29T15:50:01Z
dc.date.available2022-03-29T15:50:01Z
dc.date.issued2022-03-29
dc.descriptionAcknowledgments We gratefully acknowledge the support of colleagues at Marine Scotland Science, the crew and scientists of the MRV Scotia 2018 cruise (particularly Chief Scientist Adrian Tait) and ERI interns: Gael Gelis and Martin Forestier. We gratefully acknowledge the constructive comments from reviewers. Finally, we also want to thank Ella Benninghaus for providing the auk illustrations used within the paper. Funding This work was funded by the Bryden Centre project, supported by the European Union’s INTERREG VA Programme, and managed by the Special EU Programmes Body (SEUPB). The views and opinions expressed in this paper do not necessarily reflect those of the European Commission or the Special EU Programmes Body (SEUPB). Aspects of this research were also funded by a Royal Society Research Grant [RSG\R1\180430], the NERC VertIBase project [NE/N01765X/1], the UK Department for Business, Energy, and Industrial Strategy’s offshore energy Strategic Environmental Assessment programme and EPSRC Supergen ORE Hub [EP/S000747/1].en
dc.description.statusPeer revieweden
dc.format.extent15
dc.format.extent3155509
dc.identifier215000486
dc.identifier4bf1aae0-958c-4303-9ad9-38e994f666a0
dc.identifier85128436481
dc.identifier.citationSlingsby, J, Scott, B E, Kregting, L, McIlvenny, J, Wilson, J, Yanez, M, Langlois, S & Williamson, B J 2022, 'Using Unmanned Aerial Vehicle (UAV) Imagery to Characterise Pursuit-Diving Seabird Association With Tidal Stream Hydrodynamic Habitat Features', Frontiers in Marine Science, vol. 9, 820722. https://doi.org/10.3389/fmars.2022.820722en
dc.identifier.doi10.3389/fmars.2022.820722
dc.identifier.issn2296-7745
dc.identifier.otherBibtex: 10.3389/fmars.2022.820722
dc.identifier.otherORCID: /0000-0001-5412-3952/work/170011364
dc.identifier.urihttps://hdl.handle.net/2164/18317
dc.identifier.vol9en
dc.language.isoeng
dc.relation.ispartofFrontiers in Marine Scienceen
dc.subjectSDG 7 - Affordable and Clean Energyen
dc.subjectSDG 14 - Life Below Wateren
dc.subjectQH301 Biologyen
dc.subjectOtheren
dc.subjectRSG\R1\180430en
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/S000747/1en
dc.subjectNatural Environment Research Council (NERC)en
dc.subjectRSG\R1\180430en
dc.subject.lccQH301en
dc.titleUsing Unmanned Aerial Vehicle (UAV) Imagery to Characterise Pursuit-Diving Seabird Association With Tidal Stream Hydrodynamic Habitat Featuresen
dc.typeJournal articleen

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