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Spatially explicit capture–recapture methods to estimate minke whale density from data collected at bottom-mounted hydrophones

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dc.creator Marques, Tiago A.
dc.creator Thomas, Len
dc.creator Martin, Stephen W.
dc.creator Mellinger, David K.
dc.creator Jarvis, Susan
dc.creator Morrissey, Ronald P.
dc.creator Ciminello, Carroll-Anne
dc.creator DiMarzio, Nancy
dc.date.accessioned 2012-11-12T22:31:03Z
dc.date.available 2012-11-12T22:31:03Z
dc.date.issued 2012-02
dc.identifier.citation Marques, T. A., Thomas, L., Martin, S. W., Mellinger, D. K., Jarvis, S., Morrissey, R. P., . . . . (2012). Spatially explicit capture–recapture methods to estimate minke whale density from data collected at bottom-mounted hydrophones. Journal of Ornithology, 152(2), 445-455. doi: 10.1007/s10336-010-0535-7 en_US
dc.identifier.uri http://hdl.handle.net/1957/35052
dc.description This is the publisher’s final pdf. The published article is copyrighted by Springer and can be found at: http://www.springer.com/life+sciences/animal+sciences/journal/10336. To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. en_US
dc.description.abstract Estimation of cetacean abundance or density using visual methods can be cost-ineffective under many scenarios. Methods based on acoustic data have recently been proposed as an alternative, and could potentially be more effective for visually elusive species that produce loud sounds. Motivated by a dataset of minke whale (Balaenoptera acutorostrata) “boing” sounds detected at multiple hydrophones at the U.S. Navy’s Pacific Missile Range Facility (PMRF), we present an approach to estimate density or abundance based on spatially explicit capture–recapture (SECR) methods. We implement the proposed methods in both a likelihood and a Bayesian framework. The point estimates for abundance and detection parameters from both implementation methods are very similar and agree well with current knowledge about the species. The two implementation approaches are compared in a small simulation study. While the Bayesian approach might be easier to generalize, the likelihood approach is faster to implement (at least in simple cases like the one presented here) and more readily amenable to model selection. SECR methods seem to be a strong candidate for estimating density from acoustic data where recaptures of sound at multiple acoustic sensors are available, and we anticipate further development of related methodologies. en_US
dc.description.sponsorship This research was undertaken as part of the DECAF project (Density Estimation for Cetaceans from passive Acoustic Fixed sensors), funded under the National Oceanographic Partnership Program jointly by the Joint Industry Programme and US National Marine Fisheries Service. en_US
dc.language.iso en_US en_US
dc.publisher Springer en_US
dc.relation.ispartofseries Journal of Ornithology en_US
dc.relation.ispartofseries Vol. 152 Suppl. 2 en_US
dc.subject Minke whale en_US
dc.subject Passive acoustic monitoring en_US
dc.subject Proximity detector en_US
dc.subject Spatially explicit capture recapture (SECR) en_US
dc.subject OpenBUGS en_US
dc.title Spatially explicit capture–recapture methods to estimate minke whale density from data collected at bottom-mounted hydrophones en_US
dc.type Article en_US
dc.description.peerreview yes en_US
dc.identifier.doi 10.1007/s10336-010-0535-7


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