Literature DB >> 24180763

Applying distance sampling to fin whale calls recorded by single seismic instruments in the northeast Atlantic.

Danielle Harris1, Luis Matias, Len Thomas, John Harwood, Wolfram H Geissler.   

Abstract

Automated methods were developed to detect fin whale calls recorded by an array of ocean bottom seismometers (OBSs) deployed off the Portuguese coast between 2007 and 2008. Using recordings collected on a single day in January 2008, a standard seismological method for estimating earthquake location from single instruments, the three-component analysis, was used to estimate the relative azimuth, incidence angle, and horizontal range between each OBS and detected calls. A validation study using airgun shots, performed prior to the call analysis, indicated that the accuracy of the three-component analysis was satisfactory for this preliminary study. Point transect sampling using cue counts, a form of distance sampling, was then used to estimate the average probability of detecting a call via the array during the chosen day. This is a key step to estimating density or abundance of animals using passive acoustic data. The average probability of detection was estimated to be 0.313 (standard error: 0.033). However, fin whale density could not be estimated due to a lack of an appropriate estimate of cue (i.e., vocalization) rate. This study demonstrates the potential for using a sparse array of widely spaced, independently operating acoustic sensors, such as OBSs, for estimating cetacean density.

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Year:  2013        PMID: 24180763     DOI: 10.1121/1.4821207

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  4 in total

1.  Fin whale (Balaenoptera physalus) migration in Australian waters using passive acoustic monitoring.

Authors:  Meghan G Aulich; Robert D McCauley; Benjamin J Saunders; Miles J G Parsons
Journal:  Sci Rep       Date:  2019-06-20       Impact factor: 4.379

2.  An open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors.

Authors:  Brian S Miller; Naysa Balcazar; Sharon Nieukirk; Emmanuelle C Leroy; Meghan Aulich; Fannie W Shabangu; Robert P Dziak; Won Sang Lee; Jong Kuk Hong
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.996

3.  A method for tracking blue whales (Balaenoptera musculus) with a widely spaced network of ocean bottom seismometers.

Authors:  William S D Wilcock; Rose S Hilmo
Journal:  PLoS One       Date:  2021-12-15       Impact factor: 3.240

4.  A generalised random encounter model for estimating animal density with remote sensor data.

Authors:  Tim C D Lucas; Elizabeth A Moorcroft; Robin Freeman; J Marcus Rowcliffe; Kate E Jones
Journal:  Methods Ecol Evol       Date:  2015-02-25       Impact factor: 7.781

  4 in total

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