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dc.contributor.authorCañadas, A.
dc.contributor.authorAguilar de Soto, N.
dc.contributor.authorAissi, M.
dc.contributor.authorArcangeli, A.
dc.contributor.authorAzzolin, M.
dc.contributor.authorB-Nagy, A.
dc.contributor.authorBearzi, G.
dc.contributor.authorCampana, I.
dc.contributor.authorChicote, C.
dc.contributor.authorCotte, C.
dc.contributor.authorCrosti, R.
dc.contributor.authorDavid, L.
dc.contributor.authorDi Natale, A.
dc.contributor.authorFortuna, C.
dc.contributor.authorFrantzis, A.
dc.contributor.authorGarcia, P.
dc.contributor.authorGazo, M.
dc.contributor.authorGutierrez-Xarxa, R.
dc.contributor.authorHolcer, D.
dc.contributor.authorLaran, S.
dc.contributor.authorLauriano, G.
dc.contributor.authorLewis, T.
dc.contributor.authorMoulins, A.
dc.contributor.authorMussi, B.
dc.contributor.authorNotarbartolo di Sciara, G.
dc.contributor.authorPanigada, S.
dc.contributor.authorPastor, X.
dc.contributor.authorPoliti, E.
dc.contributor.authorPulcini, M.
dc.contributor.authorRaga, J.A.
dc.contributor.authorRendell, L.
dc.contributor.authorRosso, M.
dc.contributor.authorTepsich, P.
dc.contributor.authorTomás, J.
dc.contributor.authorTringali, M.
dc.contributor.authorRoger, Th.
dc.date.accessioned2018-10-22T23:50:18Z
dc.date.available2018-10-22T23:50:18Z
dc.date.issued2018-02
dc.identifier.citationCañadas , A , Aguilar de Soto , N , Aissi , M , Arcangeli , A , Azzolin , M , B-Nagy , A , Bearzi , G , Campana , I , Chicote , C , Cotte , C , Crosti , R , David , L , Di Natale , A , Fortuna , C , Frantzis , A , Garcia , P , Gazo , M , Gutierrez-Xarxa , R , Holcer , D , Laran , S , Lauriano , G , Lewis , T , Moulins , A , Mussi , B , Notarbartolo di Sciara , G , Panigada , S , Pastor , X , Politi , E , Pulcini , M , Raga , J A , Rendell , L , Rosso , M , Tepsich , P , Tomás , J , Tringali , M & Roger , T 2018 , ' The challenge of habitat modelling for threatened low density species using heterogeneous data : the case of Cuvier’s beaked whales in the Mediterranean ' , Ecological Indicators , vol. 85 , no. Supplement C , pp. 128-136 . https://doi.org/10.1016/j.ecolind.2017.10.021en
dc.identifier.issn1470-160X
dc.identifier.otherPURE: 251505797
dc.identifier.otherPURE UUID: d47f7293-a2af-42cf-a6be-85a73604faf6
dc.identifier.otherRIS: urn:3B8BCD14E52D477C7A76AF85B3EB68FE
dc.identifier.otherScopus: 85032876697
dc.identifier.otherORCID: /0000-0002-1121-9142/work/60427998
dc.identifier.otherWOS: 000430634500013
dc.identifier.urihttp://hdl.handle.net/10023/16300
dc.descriptionWe are grateful to the ACCOBAMS Secretariat for their support in this work, including a small grant for the analysis.en
dc.description.abstractThe Mediterranean population of Cuvieŕs beaked whale (Ziphius cavirostris), a deep-diving cetacean, is genetically distinct from the Atlantic, and subject to a number of conservation threats, in particular underwater noise. It is also cryptic at the surface and relatively rare, so obtain robust knowledge on distribution and abundance presents unique challenges. Here we use multiplatform and multiyear survey data to analyse the distribution and abundance of this species across the Mediterranean Sea. We use a novel approach combining heterogeneous data gathered with different methods to obtain a single density index for the region. A total of 594,996 km of survey effort and 507 sightings of Cuvier’s beaked whales, from 1990 to 2016, were pooled together from 24 different sources. Data were divided into twelve major groups according to platform height, speed and sea state. Both availability bias and effective strip width were calculated from the sightings with available perpendicular distance data. This was extrapolated to the rest of the sightings for each of the twelve groups. Habitat preference models were fitted into a GAM framework using counts of groups as a response variable with the effective searched area as an offset. Depth, coefficient of variation of depth, longitude and marine regions (as defined by the International Hydrographic Organization) were identified as important predictors. Predicted abundance of groups per grid cell were multiplied by mean group size to obtain a prediction of the abundance of animals. A total abundance of 5799 (CV = 24.0%) animals was estimated for the whole Mediterranean basin. The Alborán Sea, Ligurian Sea, Hellenic Trench, southern Adriatic Sea and eastern Ionian Sea were identified as being the main hot spots in the region. It is important to urge that the relevant stakeholders incorporate this information in the planning and execution of high risk activities in these high-risk areas.
dc.format.extent9
dc.language.isoeng
dc.relation.ispartofEcological Indicatorsen
dc.rights© 2017, Elsevier Ltd. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1016/j.ecolind.2017.10.021en
dc.subjectCuvier’s beaked whalesen
dc.subjectAbundanceen
dc.subjectDistributionen
dc.subjectConservationen
dc.subjectDensity surface modellingen
dc.subjectCorrection factoren
dc.subjectMediterranean seaen
dc.subjectGC Oceanographyen
dc.subjectQH301 Biologyen
dc.subjectNDASen
dc.subject.lccGCen
dc.subject.lccQH301en
dc.titleThe challenge of habitat modelling for threatened low density species using heterogeneous data : the case of Cuvier’s beaked whales in the Mediterraneanen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews.School of Biologyen
dc.contributor.institutionUniversity of St Andrews.Centre for Social Learning & Cognitive Evolutionen
dc.contributor.institutionUniversity of St Andrews.Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews.Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews.Bioacoustics groupen
dc.contributor.institutionUniversity of St Andrews.Centre for Biological Diversityen
dc.identifier.doihttps://doi.org/10.1016/j.ecolind.2017.10.021
dc.description.statusPeer revieweden
dc.date.embargoedUntil2018-10-23


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