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dc.contributor.authorten Doeschate MTIen
dc.contributor.authorBrownlow ACen
dc.contributor.authorDavison NJen
dc.contributor.authorThompson PMen
dc.date.accessioned2018-10-15T09:35:26Z
dc.date.available2018-10-15T09:35:26Z
dc.date.issued2017
dc.identifier.citation98:5en
dc.identifier.urihttps://doi.org/10.1017/S0025315417000698
dc.identifier.urihttp://hdl.handle.net/11262/11529
dc.description.abstractThe ecological value of the stranding record is often challenged due to the complexity in quantifying the biases associated with multiple components of the stranding process. There are biological, physical and social aspects that complicate the interpretation of stranding data particularly at a population level. We show how examination of baseline variability in the historical stranding record can provide useful insights into temporal trends and facilitate the detection of unusual variability in stranding rates. Seasonal variability was examined using harbour porpoise strandings between 1992 and 2014 on the east coast of Scotland. Generalized Additive Mixed modelling revealed a strong seasonal pattern, with numbers increasing from February towards a peak in April. Profiling seasonality this way facilitates detection of unusual variations in stranding frequencies and permits for any change in the incidence of strandings to be quantified by evaluation of the normalized model residuals. Consequently, this model can be used to identify unusual mortality events, and quantify the degree to which they deviate from baseline. With this study we demonstrate that a described baseline in strandings allows the detection of abnormalities at an early stage and can be used as a regional framework of reference for monitoring. This methodology provides means to quantify and partition the variability associated with strandings data and is a useful first step towards improving the stranding record as a management resource.en
dc.language.isoenen
dc.relation.isformatof14931en
dc.relation.ispartofJournal of the Marine Biological Association of the United Kingdomen
dc.subjectHarbour porpoiseen
dc.subjectStrandingsen
dc.subjectScotlanden
dc.subjectCetaceansen
dc.subjectStranding processen
dc.subjectMonitoringen
dc.subjectGeneralized Additive Mixed Modelen
dc.subjectUnusual Mortality Eventen
dc.titleDead useful: methods for quantifying baseline variability in stranding rates to improve the ecological value of the strandings record as a monitoring toolen
dc.typeArticleen
dc.extent.pageNumbers1205-1209en
rioxxterms.publicationdate2017-05-11
rioxxterms.typeJournal Article/Reviewen
dcterms.dateAccepted2017-04-04
refterms.accessExceptionNAen
refterms.depositExceptionNAen
refterms.panelUnspecifieden
refterms.technicalExceptionNAen
refterms.versionNAen


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