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dc.contributor.authorFrasier, Kaitlin E.
dc.contributor.authorWiggins, Sean M.
dc.contributor.authorHarris, Danielle
dc.contributor.authorMarques, Tiago A.
dc.contributor.authorThomas, Len
dc.contributor.authorHildebrand, John A.
dc.date.accessioned2017-03-23T00:33:25Z
dc.date.available2017-03-23T00:33:25Z
dc.date.issued2016-09
dc.identifier.citationFrasier , K E , Wiggins , S M , Harris , D , Marques , T A , Thomas , L & Hildebrand , J A 2016 , ' Delphinid echolocation click detection probability on near-seafloor sensors ' , Journal of the Acoustical Society of America , vol. 140 , no. 3 , pp. 1918-1930 . https://doi.org/10.1121/1.4962279en
dc.identifier.issn0001-4966
dc.identifier.otherPURE: 246546571
dc.identifier.otherPURE UUID: 36760164-e9d2-4df0-bddb-e909233fa4fa
dc.identifier.otherScopus: 84988735435
dc.identifier.otherORCID: /0000-0002-7436-067X/work/29591651
dc.identifier.otherORCID: /0000-0002-2581-1972/work/56861266
dc.identifier.otherWOS: 000386932500051
dc.identifier.otherORCID: /0000-0003-1447-1420/work/61370035
dc.identifier.urihttp://hdl.handle.net/10023/10512
dc.descriptionFunding for HARP data collection and analysis was provided by the Natural Resource Damage Assessment partners (20105138) and the Center for the Integrated Modeling and Analysis of the Gulf Ecosystem (C-IMAGE) Consortium of the BP/Gulf of Mexico Research Initiative (SA 12-10/GoMRI-007). The analyses and opinions expressed are those of the authors and not necessarily those of the funding entities. This research was made possible by a grant from The Gulf of Mexico Research Initiative/C-IMAGE II.en
dc.description.abstractThe probability of detecting echolocating delphinids on a near-seafloor sensor was estimated using two Monte Carlo simulation methods. One method estimated the probability of detecting a single click (cue counting); the other estimated the probability of detecting a group of delphinids (group counting). Echolocation click beam pattern and source level assumptions strongly influenced detectability predictions by the cue counting model. Group detectability was also influenced by assumptions about group behaviors. Model results were compared to in situ recordings of encounters with Risso's dolphin (Grampus griseus) and presumed pantropical spotted dolphin (Stenella attenuata) from a near-seafloor four-channel tracking sensor deployed in the Gulf of Mexico (25.537°N 84.632°W, depth 1220 m). Horizontal detection range, received level and estimated source level distributions from localized encounters were compared with the model predictions. Agreement between in situ results and model predictions suggests that simulations can be used to estimate detection probabilities when direct distance estimation is not available.
dc.format.extent13
dc.language.isoeng
dc.relation.ispartofJournal of the Acoustical Society of Americaen
dc.rights© 2016 Acoustical Society of America. This work is made available online in accordance with the publisher’s policies. This is the final published version of the work, which was originally published at: http://dx.doi.org/10.1121/1.4962279en
dc.subjectGC Oceanographyen
dc.subjectArts and Humanities (miscellaneous)en
dc.subjectAcoustics and Ultrasonicsen
dc.subjectDASen
dc.subject.lccGCen
dc.titleDelphinid echolocation click detection probability on near-seafloor sensorsen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews.Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews.Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews.Statisticsen
dc.contributor.institutionUniversity of St Andrews.Marine Alliance for Science & Technology Scotlanden
dc.identifier.doihttps://doi.org/10.1121/1.4962279
dc.description.statusPeer revieweden
dc.date.embargoedUntil2017-03-22


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