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dc.contributor.authorRansijn, Janneke
dc.contributor.authorHammond, Philip
dc.contributor.authorLeopold, Mradik
dc.contributor.authorSveegaard, Signe
dc.contributor.authorSmout, Sophie
dc.date.accessioned2021-11-30T12:30:10Z
dc.date.available2021-11-30T12:30:10Z
dc.date.issued2021-12
dc.identifier276712170
dc.identifierbe853568-3f1b-46ac-9e6a-07f74b470792
dc.identifier85120168457
dc.identifier000723586900001
dc.identifier.citationRansijn , J , Hammond , P , Leopold , M , Sveegaard , S & Smout , S 2021 , ' Integrating disparate datasets to model the functional response of a marine predator : a case study of harbour porpoises in the southern North Sea ' , Ecology and Evolution , vol. 11 , no. 23 , pp. 17458-17470 . https://doi.org/10.1002/ece3.8380en
dc.identifier.issn2045-7758
dc.identifier.otherORCID: /0000-0002-2381-8302/work/104252088
dc.identifier.otherORCID: /0000-0002-2245-7947/work/105318643
dc.identifier.urihttps://hdl.handle.net/10023/24441
dc.description.abstract1. Quantifying consumption and prey choice for marine predator species is key to understanding their interaction with prey species, fisheries, and the ecosystem as a whole. However, parameterizing a functional response for large predators can be challenging because of the difficulty in obtaining the required data on predator diet and on the availability of multiple prey species. 2. This study modeled a multi-species functional response (MSFR) to describe the relationship between consumption by harbour porpoises (Phocoena phocoena) and the availability of multiple prey species in the southern North Sea. Bayesian methodology was employed to estimate MSFR parameters and to incorporate uncertainties in diet and prey availability estimates. Prey consumption was estimated from stomach content data from stranded harbour porpoises. Prey availability to harbour porpoises was estimated based on the spatial overlap between prey distributions, estimated from fish survey data, and porpoise foraging range in the days prior to stranding predicted from telemetry data. 3. Results indicated a preference for sandeels in the study area. Prey switching behavior (change in preference dependent on prey abundance) was confirmed by the favored type III functional response model. Variation in the size of the foraging range (estimated area where harbour porpoises could have foraged prior to stranding) did not alter the overall pattern of the results or conclusions. 4. Integrating datasets on prey consumption from strandings, predator foraging distribution using telemetry, and prey availability from fish surveys into the modeling approach provides a methodological framework that may be appropriate for fitting MSFRs for other predators.
dc.format.extent13
dc.format.extent1327931
dc.language.isoeng
dc.relation.ispartofEcology and Evolutionen
dc.subjectMulti-species functional responseen
dc.subjectNorth Seaen
dc.subjectPhocoena phocoenaen
dc.subjectPredator-prey interactionsen
dc.subjectPrey switchingen
dc.subjectSandeelsen
dc.subjectQH301 Biologyen
dc.subjectDASen
dc.subjectSDG 14 - Life Below Wateren
dc.subject.lccQH301en
dc.titleIntegrating disparate datasets to model the functional response of a marine predator : a case study of harbour porpoises in the southern North Seaen
dc.typeJournal articleen
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.contributor.institutionUniversity of St Andrews. Coastal Resources Management Groupen
dc.identifier.doihttps://doi.org/10.1002/ece3.8380
dc.description.statusPeer revieweden
dc.identifier.urlhttps://onlinelibrary.wiley.com/doi/10.1002/ece3.8380en


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