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dc.contributor.authorBouchet, Phil
dc.contributor.authorHarris, Catriona M
dc.contributor.authorThomas, Len
dc.date.accessioned2020-05-11T09:30:45Z
dc.date.available2020-05-11T09:30:45Z
dc.date.issued2020-04-21
dc.identifier267546985
dc.identifier472d859a-eadd-410f-ba2f-d59295648fb8
dc.identifier.citationBouchet , P , Harris , C M & Thomas , L 2020 , Simulating cetacean responses to sonar exposure within a Bayesian hierarchical modelling framework : technical report . CREEM Technical Report , no. 2020-01 , University of St Andrews .en
dc.identifier.otherORCID: /0000-0002-7436-067X/work/72842153
dc.identifier.otherORCID: /0000-0001-9198-2414/work/72842595
dc.identifier.otherORCID: /0000-0002-2144-2049/work/72842869
dc.identifier.urihttps://hdl.handle.net/10023/19909
dc.descriptionFunding: The research reported here was financially supported by the US Navy Living Marine Resources Programme (LMR) Contract No. N3943018C2080.en
dc.description.abstractIn this report, we present a framework for simulating responses of cetaceans to various military sonar exposure contexts using Bayesian hierarchical modelling. This work was motivated by the need to assess the utility of different types of animal-attached biotelemetry tags in improving our understanding of dose–response relationships. Specifically, we used a Monte Carlo approach to conduct a sensitivity analysis of the effects of uncertainty in acoustic dose measurements (i.e. received sound levels) on the probability of behavioural response. Accompanying R code is available and fully described in a sister document.
dc.format.extent39
dc.format.extent11334238
dc.language.isoeng
dc.publisherUniversity of St Andrews
dc.relation.ispartofseriesCREEM Technical Reporten
dc.subjectGC Oceanographyen
dc.subjectQA Mathematicsen
dc.subjectQH301 Biologyen
dc.subject.lccGCen
dc.subject.lccQAen
dc.subject.lccQH301en
dc.titleSimulating cetacean responses to sonar exposure within a Bayesian hierarchical modelling framework : technical reporten
dc.typeReporten
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen


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