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

Tiago Andre Lamas Oliveira Marques, Len Thomas, Stephen Martin, David Mellinger, Susan Jarvis, Ronald Morrissey, Carol-Anne Ciminello, Nancy DiMarzio

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)445-455
JournalJournal of Ornithology
Volume152
Issue numberSupp 2
DOIs
Publication statusPublished - 1 Feb 2012
Event9th EURING Analytical Meeting - Pescara, Italy
Duration: 14 Sept 200920 Sept 2009

Fingerprint

Dive into the research topics of 'Spatially explicit capture-recapture methods to estimate minke whale density from data collected at bottom-mounted hydrophones'. Together they form a unique fingerprint.

Cite this