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dc.contributor.authorPhotopoulou, Theoni
dc.contributor.authorFedak, Mike
dc.contributor.authorThomas, Len
dc.contributor.authorMatthiopoulos, Jason
dc.date.accessioned2015-06-30T23:10:54Z
dc.date.available2015-06-30T23:10:54Z
dc.date.issued2014-07
dc.identifier.citationPhotopoulou , T , Fedak , M , Thomas , L & Matthiopoulos , J 2014 , ' Spatial variation in maximum dive depth in gray seals in relation to foraging. ' , Marine Mammal Science , vol. 30 , no. 3 , pp. 923–938 . https://doi.org/10.1111/mms.12092en
dc.identifier.issn0824-0469
dc.identifier.otherPURE: 130501504
dc.identifier.otherPURE UUID: 6a8270c1-842c-46c6-9fb5-486795dcf149
dc.identifier.otherScopus: 84903821050
dc.identifier.otherORCID: /0000-0002-7436-067X/work/29591679
dc.identifier.otherORCID: /0000-0002-9569-1128/work/47136233
dc.identifier.otherORCID: /0000-0001-9616-9940/work/43456479
dc.identifier.otherWOS: 000339101800005
dc.identifier.urihttp://hdl.handle.net/10023/6886
dc.descriptionTheoni Photopoulou was funded by SMRU Ltd in the form of a Ph.D. studentship, 2008–2012.en
dc.description.abstractHabitat preference maps are a way of representing animals’ space use in two dimensions. For marine animals, the third dimension is an important aspect of spatial ecology. We used dive data from seven gray seals Halichoerus grypus (a primarily benthic forager) collected with GPS phone tags (Sea Mammal Research Unit) to investigate the distribution of the maximum depth visited in each dive. We modeled maximum dive depth as a function of spatiotemporal covariates using a generalized additive mixed model (GAMM) with individual as a random effect. Bathymetry, horizontal displacement, latitude and longitude, Julian day, sediment type, and light conditions accounted for 37% of the variability in the data. Persistent patterns of autocorrelation in the raw data suggest that individual intrinsic rhythm might be an important factor, not captured by external covariates. The strength of using this statistical method to generate spatial predictions of the distribution of maximum dive depth is its applicability to other plunge and pursuit divers. Despite being predictions of a point estimate, these maps provide some insight into the third dimension of habitat use in marine animals. The capacity to predict this aspect of vertical habitat use may help avoid conflict between animal habitat and coastal or offshore developments
dc.format.extent16
dc.language.isoeng
dc.relation.ispartofMarine Mammal Scienceen
dc.rights© 2013. Society for Marine Mammalogy.en
dc.subjectMaximum dive depthen
dc.subjectSpatial variationen
dc.subjectGeneralized additive mixed modelen
dc.subjectHalichoerus grypusen
dc.subjectSpace useen
dc.subjectHabitat preferenceen
dc.subjectGE Environmental Sciencesen
dc.subjectEnvironmental Science(all)en
dc.subject.lccGEen
dc.titleSpatial variation in maximum dive depth in gray seals in relation to foraging.en
dc.typeJournal articleen
dc.description.versionPostprinten
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.Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews.Statisticsen
dc.contributor.institutionUniversity of St Andrews.School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews.Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doihttps://doi.org/10.1111/mms.12092
dc.description.statusPeer revieweden
dc.date.embargoedUntil2015-07-01


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