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dc.contributor.authorCarter, Matt Ian Daniel
dc.contributor.authorBennett, Kimberley A.
dc.contributor.authorEmbling, Clare B.
dc.contributor.authorHosegood, Philip J.
dc.contributor.authorRussell, Debbie J. F.
dc.date.accessioned2016-10-26T12:30:15Z
dc.date.available2016-10-26T12:30:15Z
dc.date.issued2016-10-26
dc.identifier247089372
dc.identifierb102a727-322f-46e7-87c8-f97ca3d350ed
dc.identifier84992344990
dc.identifier000395310700001
dc.identifier.citationCarter , M I D , Bennett , K A , Embling , C B , Hosegood , P J & Russell , D J F 2016 , ' Navigating uncertain waters: a critical review of inferring foraging behaviour from location and dive data in pinnipeds ' , Movement Ecology , vol. 4 , 25 . https://doi.org/10.1186/s40462-016-0090-9en
dc.identifier.issn2051-3933
dc.identifier.otherRIS: Carter2016
dc.identifier.urihttps://hdl.handle.net/10023/9705
dc.descriptionMIDC PhD studentship co-funded by Natural Environmental Research Council (NERC) and School of Marine Science and Engineering, Plymouth University. DJFR is supported by National Capability funding from NERC to the Sea Mammal Research Unit (grant no. SMRU1001).en
dc.description.abstractIn the last thirty years, the emergence and progression of biologging technology has led to great advances in marine predator ecology. Large databases of location and dive observations from biologging devices have been compiled for an increasing number of diving predator species (such as pinnipeds, sea turtles, seabirds and cetaceans), enabling complex questions about animal activity budgets and habitat use to be addressed. Central to answering these questions is our ability to correctly identify and quantify the frequency of essential behaviours, such as foraging. Despite technological advances that have increased the quality and resolution of location and dive data, accurately interpreting behaviour from such data remains a challenge, and analytical methods are only beginning to unlock the full potential of existing datasets. This review evaluates both traditional and emerging methods and presents a starting platform of options for future studies of marine predator foraging ecology, particularly from location and two-dimensional (time-depth) dive data. We outline the different devices and data types available, discuss the limitations and advantages of commonly-used analytical techniques, and highlight key areas for future research. We focus our review on pinnipeds - one of the most studied taxa of marine predators - but offer insights that will be applicable to other air-breathing marine predator tracking studies. We highlight that traditionally-used methods for inferring foraging from location and dive data, such as first-passage time and dive shape analysis, have important caveats and limitations depending on the nature of the data and the research question. We suggest that more holistic statistical techniques, such as state-space models, which can synthesise multiple track, dive and environmental metrics whilst simultaneously accounting for measurement error, offer more robust alternatives. Finally, we identify a need for more research to elucidate the role of physical oceanography, device effects, study animal selection, and developmental stages in predator behaviour and data interpretation.
dc.format.extent20
dc.format.extent1517405
dc.language.isoeng
dc.relation.ispartofMovement Ecologyen
dc.subjectMovement ecologyen
dc.subjectArea-restricted searchen
dc.subjectSatellite telemetryen
dc.subjectGPSen
dc.subjectArgosen
dc.subjectTDRen
dc.subjectAnimal trackingen
dc.subjectMarine mammalsen
dc.subjectSealsen
dc.subjectQH301 Biologyen
dc.subjectNERCen
dc.subjectSDG 14 - Life Below Wateren
dc.subject.lccQH301en
dc.titleNavigating uncertain waters: a critical review of inferring foraging behaviour from location and dive data in pinnipedsen
dc.typeJournal itemen
dc.contributor.sponsorNERCen
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doi10.1186/s40462-016-0090-9
dc.description.statusPeer revieweden
dc.identifier.grantnumberAgreement R8-H12-86en


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