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dc.contributor.authorRycyk, Athena M.
dc.contributor.authorBerchem, Cora
dc.contributor.authorMarques, Tiago A.
dc.date.accessioned2022-05-24T10:30:08Z
dc.date.available2022-05-24T10:30:08Z
dc.date.issued2022-05
dc.identifier279712364
dc.identifier6134309b-b49c-4d4e-8a91-8d110320a105
dc.identifier000796531500002
dc.identifier85142174983
dc.identifier.citationRycyk , A M , Berchem , C & Marques , T A 2022 , ' Estimating Florida manatee ( Trichechus manatus latirostris) abundance using passive acoustic methods ' , JASA Express Letters , vol. 2 , no. 5 , 051202 . https://doi.org/10.1121/10.0010495en
dc.identifier.otherJisc: 336276
dc.identifier.otherORCID: /0000-0002-2581-1972/work/113703216
dc.identifier.urihttps://hdl.handle.net/10023/25437
dc.descriptionT.A.M.’s contribution was conducted under the ACCURATE project, funded by the U.S. Navy Living Marine Resources program (Contract No. N3943019C2176) with partial support by CEAUL (funded by FCT— Fundação para a Ciência e a Tecnologia, Portugal, through the project UIDB/00006/2020).en
dc.description.abstractManatees are difficult to detect, particularly cryptic populations that inhabit areas with limited water clarity. The effectiveness of using vocal detections to estimate manatee abundance was evaluated in a clear water spring where manatees congregate seasonally. Vocalizations were extracted by a detection classifier that clustered sounds with similar spectral properties. Vocalization counts from recordings in Blue Spring, FL, USA were strong predictors of manatee abundance. The link between independent visual counts and abundance estimates from passive acoustic monitoring was used to provide an estimate of 1.059 (95% confidence interval 0.963–1.127) vocalizations/manatee/5-min, which might be used elsewhere for cue counting of manatees.
dc.format.extent8
dc.format.extent2059834
dc.language.isoeng
dc.relation.ispartofJASA Express Lettersen
dc.subjectQL Zoologyen
dc.subjectDASen
dc.subject.lccQLen
dc.titleEstimating Florida manatee (Trichechus manatus latirostris) abundance using passive acoustic methodsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doi10.1121/10.0010495
dc.description.statusPeer revieweden


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