Spatiotemporal patterns of near-surface acoustic backscattering in the eastern Bering Sea based on multifrequency analysis and geostatistical methods ...
No abstracts are to be cited without prior reference to the author.Fisheries acoustic surveys often collect multifrequency data to help classify the species composition according to the echo sign. Because fish are usually the primary target species, relatively little effort is spent on confirming th...
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ASC 2010 - Theme session G
2024
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ftdatacite:10.17895/ices.pub.25069709 2024-03-31T07:52:00+00:00 Spatiotemporal patterns of near-surface acoustic backscattering in the eastern Bering Sea based on multifrequency analysis and geostatistical methods ... Woillez, Mathieu Ressler, Patrick Wilson, Chris Horne, John 2024 https://dx.doi.org/10.17895/ices.pub.25069709 https://ices-library.figshare.com/articles/conference_contribution/Spatiotemporal_patterns_of_near-surface_acoustic_backscattering_in_the_eastern_Bering_Sea_based_on_multifrequency_analysis_and_geostatistical_methods/25069709 unknown ASC 2010 - Theme session G https://ices-library.figshare.com/ICES-ASC-2010/groups ICES Custom Licence https://www.ices.dk/Pages/library_policies.aspx Technologies and data Ecosystem observation, processes and dynamics Conference contribution article CreativeWork Other 2024 ftdatacite https://doi.org/10.17895/ices.pub.25069709 2024-03-04T12:15:15Z No abstracts are to be cited without prior reference to the author.Fisheries acoustic surveys often collect multifrequency data to help classify the species composition according to the echo sign. Because fish are usually the primary target species, relatively little effort is spent on confirming the identity of the other scatterers. However, methods to characterize the spatio-temporal patterns of these other scatterers based solely on acoustic data may provide important insights into understanding ecological relationships among these assemblages and those of the target species. Here, we conduct an analysis of multifrequency acoustic data collected in the eastern Bering Sea (EBS) during the summers of 2004, 2006–2008 to describe the spatio-temporal characteristics of a persistent, near-surface acoustic backscattering layer that exists throughout most of the EBS during summer. Analysis methods include unsupervised clustering, which takes into account the spatial context of these data. Our approach initially ... Conference Object Bering Sea DataCite Metadata Store (German National Library of Science and Technology) Bering Sea |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Technologies and data Ecosystem observation, processes and dynamics |
spellingShingle |
Technologies and data Ecosystem observation, processes and dynamics Woillez, Mathieu Ressler, Patrick Wilson, Chris Horne, John Spatiotemporal patterns of near-surface acoustic backscattering in the eastern Bering Sea based on multifrequency analysis and geostatistical methods ... |
topic_facet |
Technologies and data Ecosystem observation, processes and dynamics |
description |
No abstracts are to be cited without prior reference to the author.Fisheries acoustic surveys often collect multifrequency data to help classify the species composition according to the echo sign. Because fish are usually the primary target species, relatively little effort is spent on confirming the identity of the other scatterers. However, methods to characterize the spatio-temporal patterns of these other scatterers based solely on acoustic data may provide important insights into understanding ecological relationships among these assemblages and those of the target species. Here, we conduct an analysis of multifrequency acoustic data collected in the eastern Bering Sea (EBS) during the summers of 2004, 2006–2008 to describe the spatio-temporal characteristics of a persistent, near-surface acoustic backscattering layer that exists throughout most of the EBS during summer. Analysis methods include unsupervised clustering, which takes into account the spatial context of these data. Our approach initially ... |
format |
Conference Object |
author |
Woillez, Mathieu Ressler, Patrick Wilson, Chris Horne, John |
author_facet |
Woillez, Mathieu Ressler, Patrick Wilson, Chris Horne, John |
author_sort |
Woillez, Mathieu |
title |
Spatiotemporal patterns of near-surface acoustic backscattering in the eastern Bering Sea based on multifrequency analysis and geostatistical methods ... |
title_short |
Spatiotemporal patterns of near-surface acoustic backscattering in the eastern Bering Sea based on multifrequency analysis and geostatistical methods ... |
title_full |
Spatiotemporal patterns of near-surface acoustic backscattering in the eastern Bering Sea based on multifrequency analysis and geostatistical methods ... |
title_fullStr |
Spatiotemporal patterns of near-surface acoustic backscattering in the eastern Bering Sea based on multifrequency analysis and geostatistical methods ... |
title_full_unstemmed |
Spatiotemporal patterns of near-surface acoustic backscattering in the eastern Bering Sea based on multifrequency analysis and geostatistical methods ... |
title_sort |
spatiotemporal patterns of near-surface acoustic backscattering in the eastern bering sea based on multifrequency analysis and geostatistical methods ... |
publisher |
ASC 2010 - Theme session G |
publishDate |
2024 |
url |
https://dx.doi.org/10.17895/ices.pub.25069709 https://ices-library.figshare.com/articles/conference_contribution/Spatiotemporal_patterns_of_near-surface_acoustic_backscattering_in_the_eastern_Bering_Sea_based_on_multifrequency_analysis_and_geostatistical_methods/25069709 |
geographic |
Bering Sea |
geographic_facet |
Bering Sea |
genre |
Bering Sea |
genre_facet |
Bering Sea |
op_relation |
https://ices-library.figshare.com/ICES-ASC-2010/groups |
op_rights |
ICES Custom Licence https://www.ices.dk/Pages/library_policies.aspx |
op_doi |
https://doi.org/10.17895/ices.pub.25069709 |
_version_ |
1795030919967408128 |