Fin whale density and distribution estimation using acoustic bearings derived from sparse arrays

Passive acoustic monitoring of marine mammals is common, and it is now possible to estimate absolute animal density from acoustic recordings. The most appropriate density estimation method depends on how much detail about animals' locations can be derived from the recordings. Here, a method for...

Full description

Bibliographic Details
Published in:The Journal of the Acoustical Society of America
Main Authors: Harris, Danielle V., Miksis-Olds, Jennifer L., Vernon, Julia A., Thomas, Len
Format: Article in Journal/Newspaper
Language:English
Published: 2018
Subjects:
Online Access:https://risweb.st-andrews.ac.uk/portal/en/researchoutput/fin-whale-density-and-distribution-estimation-using-acoustic-bearings-derived-from-sparse-arrays(455d7d83-9884-44ef-bd20-00088999df76).html
https://doi.org/10.1121/1.5031111
https://research-repository.st-andrews.ac.uk/bitstream/10023/17192/1/JASA01241R1_PDF_for_reviewers.pdf
id ftunstandrewcris:oai:risweb.st-andrews.ac.uk:publications/455d7d83-9884-44ef-bd20-00088999df76
record_format openpolar
spelling ftunstandrewcris:oai:risweb.st-andrews.ac.uk:publications/455d7d83-9884-44ef-bd20-00088999df76 2023-05-15T15:36:38+02:00 Fin whale density and distribution estimation using acoustic bearings derived from sparse arrays Harris, Danielle V. Miksis-Olds, Jennifer L. Vernon, Julia A. Thomas, Len 2018-05 application/pdf https://risweb.st-andrews.ac.uk/portal/en/researchoutput/fin-whale-density-and-distribution-estimation-using-acoustic-bearings-derived-from-sparse-arrays(455d7d83-9884-44ef-bd20-00088999df76).html https://doi.org/10.1121/1.5031111 https://research-repository.st-andrews.ac.uk/bitstream/10023/17192/1/JASA01241R1_PDF_for_reviewers.pdf eng eng info:eu-repo/semantics/openAccess Harris , D V , Miksis-Olds , J L , Vernon , J A & Thomas , L 2018 , ' Fin whale density and distribution estimation using acoustic bearings derived from sparse arrays ' , Journal of the Acoustical Society of America , vol. 143 , no. 5 , pp. 2980-2993 . https://doi.org/10.1121/1.5031111 article 2018 ftunstandrewcris https://doi.org/10.1121/1.5031111 2022-06-02T07:48:40Z Passive acoustic monitoring of marine mammals is common, and it is now possible to estimate absolute animal density from acoustic recordings. The most appropriate density estimation method depends on how much detail about animals' locations can be derived from the recordings. Here, a method for estimating cetacean density using acoustic data is presented, where only horizontal bearings to calling animals are estimable. This method also requires knowledge of call signal-to-noise ratios, as well as auxiliary information about call source levels, sound propagation, and call production rates. Results are presented from simulations, and from a pilot study using recordings of fin whale ( Balaenoptera physalus ) calls from Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) hydrophones at Wake Island in the Pacific Ocean. Simulations replicating different animal distributions showed median biases in estimated call density of less than 2%. The estimated average call density during the pilot study period (December 2007-February 2008) was 0.02 calls hr -1 km 2 (coefficient of variation, CV: 15%). Using a tentative call production rate, estimated average animal density was 0.54 animals/1000 km 2 (CV: 52%). Calling animals showed a varied spatial distribution around the northern hydrophone array, with most detections occurring at bearings between 90 and 180 degrees. Article in Journal/Newspaper Balaenoptera physalus Fin whale University of St Andrews: Research Portal Pacific The Journal of the Acoustical Society of America 143 5 2980 2993
institution Open Polar
collection University of St Andrews: Research Portal
op_collection_id ftunstandrewcris
language English
description Passive acoustic monitoring of marine mammals is common, and it is now possible to estimate absolute animal density from acoustic recordings. The most appropriate density estimation method depends on how much detail about animals' locations can be derived from the recordings. Here, a method for estimating cetacean density using acoustic data is presented, where only horizontal bearings to calling animals are estimable. This method also requires knowledge of call signal-to-noise ratios, as well as auxiliary information about call source levels, sound propagation, and call production rates. Results are presented from simulations, and from a pilot study using recordings of fin whale ( Balaenoptera physalus ) calls from Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) hydrophones at Wake Island in the Pacific Ocean. Simulations replicating different animal distributions showed median biases in estimated call density of less than 2%. The estimated average call density during the pilot study period (December 2007-February 2008) was 0.02 calls hr -1 km 2 (coefficient of variation, CV: 15%). Using a tentative call production rate, estimated average animal density was 0.54 animals/1000 km 2 (CV: 52%). Calling animals showed a varied spatial distribution around the northern hydrophone array, with most detections occurring at bearings between 90 and 180 degrees.
format Article in Journal/Newspaper
author Harris, Danielle V.
Miksis-Olds, Jennifer L.
Vernon, Julia A.
Thomas, Len
spellingShingle Harris, Danielle V.
Miksis-Olds, Jennifer L.
Vernon, Julia A.
Thomas, Len
Fin whale density and distribution estimation using acoustic bearings derived from sparse arrays
author_facet Harris, Danielle V.
Miksis-Olds, Jennifer L.
Vernon, Julia A.
Thomas, Len
author_sort Harris, Danielle V.
title Fin whale density and distribution estimation using acoustic bearings derived from sparse arrays
title_short Fin whale density and distribution estimation using acoustic bearings derived from sparse arrays
title_full Fin whale density and distribution estimation using acoustic bearings derived from sparse arrays
title_fullStr Fin whale density and distribution estimation using acoustic bearings derived from sparse arrays
title_full_unstemmed Fin whale density and distribution estimation using acoustic bearings derived from sparse arrays
title_sort fin whale density and distribution estimation using acoustic bearings derived from sparse arrays
publishDate 2018
url https://risweb.st-andrews.ac.uk/portal/en/researchoutput/fin-whale-density-and-distribution-estimation-using-acoustic-bearings-derived-from-sparse-arrays(455d7d83-9884-44ef-bd20-00088999df76).html
https://doi.org/10.1121/1.5031111
https://research-repository.st-andrews.ac.uk/bitstream/10023/17192/1/JASA01241R1_PDF_for_reviewers.pdf
geographic Pacific
geographic_facet Pacific
genre Balaenoptera physalus
Fin whale
genre_facet Balaenoptera physalus
Fin whale
op_source Harris , D V , Miksis-Olds , J L , Vernon , J A & Thomas , L 2018 , ' Fin whale density and distribution estimation using acoustic bearings derived from sparse arrays ' , Journal of the Acoustical Society of America , vol. 143 , no. 5 , pp. 2980-2993 . https://doi.org/10.1121/1.5031111
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1121/1.5031111
container_title The Journal of the Acoustical Society of America
container_volume 143
container_issue 5
container_start_page 2980
op_container_end_page 2993
_version_ 1766367009416675328