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

Passive acoustic monitoring is an important tool for studying marine mammals. Ocean bottom seismometer networks provide data sets of opportunity for studying blue whales (Balaenoptera musculus) which vocalize extensively at seismic frequencies. We describe methods to localize calls and obtain tracks...

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Autores principales: Wilcock, William S. D., Hilmo, Rose S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8673649/
https://www.ncbi.nlm.nih.gov/pubmed/34910750
http://dx.doi.org/10.1371/journal.pone.0260273
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author Wilcock, William S. D.
Hilmo, Rose S.
author_facet Wilcock, William S. D.
Hilmo, Rose S.
author_sort Wilcock, William S. D.
collection PubMed
description Passive acoustic monitoring is an important tool for studying marine mammals. Ocean bottom seismometer networks provide data sets of opportunity for studying blue whales (Balaenoptera musculus) which vocalize extensively at seismic frequencies. We describe methods to localize calls and obtain tracks using the B call of northeast Pacific blue whale recorded by a large network of widely spaced ocean bottom seismometers off the coast of the Pacific Northwest. The first harmonic of the B call at ~15 Hz is detected using spectrogram cross-correlation. The seasonality of calls, inferred from a dataset of calls identified by an analyst, is used to estimate the probability that detections are true positives as a function of the strength of the detection. Because the spacing of seismometers reaches 70 km, faint detections with a significant probability of being false positives must be considered in multi-station localizations. Calls are located by maximizing a likelihood function which considers each strong detection in turn as the earliest arrival time and seeks to fit the times of detections that follow within a feasible time and distance window. An alternative procedure seeks solutions based on the detections that maximize their sum after weighting by detection strength and proximity. Both approaches lead to many spurious solutions that can mix detections from different B calls and include false detections including misidentified A calls. Tracks that are reliable can be obtained iteratively by assigning detections to localizations that are grouped in space and time, and requiring groups of at least 20 locations. Smooth paths are fit to tracks by including constraints that minimize changes in speed and direction while fitting the locations to their uncertainties or applying the double difference relocation method. The reliability of localizations for future experiments might be improved by increasing sampling rates and detecting harmonics of the B call.
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spelling pubmed-86736492021-12-16 A method for tracking blue whales (Balaenoptera musculus) with a widely spaced network of ocean bottom seismometers Wilcock, William S. D. Hilmo, Rose S. PLoS One Research Article Passive acoustic monitoring is an important tool for studying marine mammals. Ocean bottom seismometer networks provide data sets of opportunity for studying blue whales (Balaenoptera musculus) which vocalize extensively at seismic frequencies. We describe methods to localize calls and obtain tracks using the B call of northeast Pacific blue whale recorded by a large network of widely spaced ocean bottom seismometers off the coast of the Pacific Northwest. The first harmonic of the B call at ~15 Hz is detected using spectrogram cross-correlation. The seasonality of calls, inferred from a dataset of calls identified by an analyst, is used to estimate the probability that detections are true positives as a function of the strength of the detection. Because the spacing of seismometers reaches 70 km, faint detections with a significant probability of being false positives must be considered in multi-station localizations. Calls are located by maximizing a likelihood function which considers each strong detection in turn as the earliest arrival time and seeks to fit the times of detections that follow within a feasible time and distance window. An alternative procedure seeks solutions based on the detections that maximize their sum after weighting by detection strength and proximity. Both approaches lead to many spurious solutions that can mix detections from different B calls and include false detections including misidentified A calls. Tracks that are reliable can be obtained iteratively by assigning detections to localizations that are grouped in space and time, and requiring groups of at least 20 locations. Smooth paths are fit to tracks by including constraints that minimize changes in speed and direction while fitting the locations to their uncertainties or applying the double difference relocation method. The reliability of localizations for future experiments might be improved by increasing sampling rates and detecting harmonics of the B call. Public Library of Science 2021-12-15 /pmc/articles/PMC8673649/ /pubmed/34910750 http://dx.doi.org/10.1371/journal.pone.0260273 Text en © 2021 Wilcock, Hilmo https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wilcock, William S. D.
Hilmo, Rose S.
A method for tracking blue whales (Balaenoptera musculus) with a widely spaced network of ocean bottom seismometers
title A method for tracking blue whales (Balaenoptera musculus) with a widely spaced network of ocean bottom seismometers
title_full A method for tracking blue whales (Balaenoptera musculus) with a widely spaced network of ocean bottom seismometers
title_fullStr A method for tracking blue whales (Balaenoptera musculus) with a widely spaced network of ocean bottom seismometers
title_full_unstemmed A method for tracking blue whales (Balaenoptera musculus) with a widely spaced network of ocean bottom seismometers
title_short A method for tracking blue whales (Balaenoptera musculus) with a widely spaced network of ocean bottom seismometers
title_sort method for tracking blue whales (balaenoptera musculus) with a widely spaced network of ocean bottom seismometers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8673649/
https://www.ncbi.nlm.nih.gov/pubmed/34910750
http://dx.doi.org/10.1371/journal.pone.0260273
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