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Main Authors: Alcázar-Treviño, Jesús, Korneliussen, Rolf J, Escánez, Alejandro, Aguilar de Soto, Natacha
Format: Artículo científico
Language:en
Published: Marine environmental research 2025
Subjects:
Online Access:https://pubmed.ncbi.nlm.nih.gov/40795681/
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author Alcázar-Treviño, Jesús
Korneliussen, Rolf J
Escánez, Alejandro
Aguilar de Soto, Natacha
author_facet Alcázar-Treviño, Jesús
Korneliussen, Rolf J
Escánez, Alejandro
Aguilar de Soto, Natacha
Alcázar-Treviño, Jesús
Korneliussen, Rolf J
Escánez, Alejandro
Aguilar de Soto, Natacha
collection PubMed - marine biology
contents Evening choruses in deep waters are associated with mesopelagic diel vertical migrations. Alcázar-Treviño, Jesús Korneliussen, Rolf J Escánez, Alejandro Aguilar de Soto, Natacha Animals Environmental Monitoring Animal Migration Acoustics Atlantic Ocean Biomass Active and passive acoustic observation methods offer an effective approach to studying deep-sea fauna where direct monitoring is particularly challenging. Some of these mesopelagic organisms are part of Deep Scattering Layers (DSLs) which are recognized as being among the largest biomass aggregations of the planet. Current quantitative estimates of this biomass vary by an order of magnitude and it is essential to improve monitoring methods in the face of emerging initiatives to exploit this key ecological resource. In this study, we employ a combination of passive and active acoustic datasets to describe concurrent temporal patterns of DSL migration and changes of the soundscape off two volcanic islands of the subtropical NE Atlantic. We report a chorus centred at 2.5 kHz, matching those previously documented in the Pacific and Indian Oceans, and observed here for the first time in the North Atlantic. This chorus event coincides with the upward migration of organisms from deep scattering layers to surface waters. Furthermore, the maximum received sound levels of this chorus are positively correlated with the measured acoustic backscatter at 38 kHz of the DSL migrating to
format Artículo científico
id pubmed_40795681
institution PubMed
language en
publishDate 2025
publisher Marine environmental research
record_format pubmed
spellingShingle Evening choruses in deep waters are associated with mesopelagic diel vertical migrations.
Alcázar-Treviño, Jesús
Korneliussen, Rolf J
Escánez, Alejandro
Aguilar de Soto, Natacha
Animals
Environmental Monitoring
Animal Migration
Acoustics
Atlantic Ocean
Biomass
Evening choruses in deep waters are associated with mesopelagic diel vertical migrations. Alcázar-Treviño, Jesús Korneliussen, Rolf J Escánez, Alejandro Aguilar de Soto, Natacha Animals Environmental Monitoring Animal Migration Acoustics Atlantic Ocean Biomass Active and passive acoustic observation methods offer an effective approach to studying deep-sea fauna where direct monitoring is particularly challenging. Some of these mesopelagic organisms are part of Deep Scattering Layers (DSLs) which are recognized as being among the largest biomass aggregations of the planet. Current quantitative estimates of this biomass vary by an order of magnitude and it is essential to improve monitoring methods in the face of emerging initiatives to exploit this key ecological resource. In this study, we employ a combination of passive and active acoustic datasets to describe concurrent temporal patterns of DSL migration and changes of the soundscape off two volcanic islands of the subtropical NE Atlantic. We report a chorus centred at 2.5 kHz, matching those previously documented in the Pacific and Indian Oceans, and observed here for the first time in the North Atlantic. This chorus event coincides with the upward migration of organisms from deep scattering layers to surface waters. Furthermore, the maximum received sound levels of this chorus are positively correlated with the measured acoustic backscatter at 38 kHz of the DSL migrating to
title Evening choruses in deep waters are associated with mesopelagic diel vertical migrations.
topic Animals
Environmental Monitoring
Animal Migration
Acoustics
Atlantic Ocean
Biomass
url https://pubmed.ncbi.nlm.nih.gov/40795681/