Testing various geostatistical models to combine bottom trawl catches and acoustic data ...
No abstracts are to be cited without prior reference to the author.The aim of the CATEFA project is to combine information on demersal fish stock abundance from acoustic and bottom trawl surveys. While acoustic data are collected continuously while the research ship is underway, it is likely that co...
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ftdatacite:10.17895/ices.pub.25349776 2024-04-28T08:14:17+00:00 Testing various geostatistical models to combine bottom trawl catches and acoustic data ... Bouleau, Mireille Bez, Nicolas Reid, Dave G. Godo, Olav.R. Gerritsen., Hans 2024 https://dx.doi.org/10.17895/ices.pub.25349776 https://ices-library.figshare.com/articles/conference_contribution/Testing_various_geostatistical_models_to_combine_bottom_trawl_catches_and_acoustic_data/25349776 unknown ASC 2004 - R - Theme session https://ices-library.figshare.com/ICES-ASC-2004/groups ICES Custom Licence https://www.ices.dk/Pages/library_policies.aspx Fisheries and aquaculture Technologies and data article Other CreativeWork Conference contribution 2024 ftdatacite https://doi.org/10.17895/ices.pub.25349776 2024-04-02T12:00:32Z No abstracts are to be cited without prior reference to the author.The aim of the CATEFA project is to combine information on demersal fish stock abundance from acoustic and bottom trawl surveys. While acoustic data are collected continuously while the research ship is underway, it is likely that combining two sources of information on the same variable should improve abundance estimation. A variety of geostatistical models are compared, contrasted and the output described. In this study, twenty scientific surveys from three areas (the North Sea, the Irish Sea and the Barents Sea) are analysed. These 3 zones have diverse species assemblages and hydrographic environments. Nevertheless we manage to find models relevant to most of these different situations. Unfortunately, however, we show that this enhancement can increase the variance of the estimation because of the inherently high variability of acoustic recordings. The purpose of this paper is to compare the results of three geostatistical models (i.e. ... Article in Journal/Newspaper Barents Sea DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
topic |
Fisheries and aquaculture Technologies and data |
spellingShingle |
Fisheries and aquaculture Technologies and data Bouleau, Mireille Bez, Nicolas Reid, Dave G. Godo, Olav.R. Gerritsen., Hans Testing various geostatistical models to combine bottom trawl catches and acoustic data ... |
topic_facet |
Fisheries and aquaculture Technologies and data |
description |
No abstracts are to be cited without prior reference to the author.The aim of the CATEFA project is to combine information on demersal fish stock abundance from acoustic and bottom trawl surveys. While acoustic data are collected continuously while the research ship is underway, it is likely that combining two sources of information on the same variable should improve abundance estimation. A variety of geostatistical models are compared, contrasted and the output described. In this study, twenty scientific surveys from three areas (the North Sea, the Irish Sea and the Barents Sea) are analysed. These 3 zones have diverse species assemblages and hydrographic environments. Nevertheless we manage to find models relevant to most of these different situations. Unfortunately, however, we show that this enhancement can increase the variance of the estimation because of the inherently high variability of acoustic recordings. The purpose of this paper is to compare the results of three geostatistical models (i.e. ... |
format |
Article in Journal/Newspaper |
author |
Bouleau, Mireille Bez, Nicolas Reid, Dave G. Godo, Olav.R. Gerritsen., Hans |
author_facet |
Bouleau, Mireille Bez, Nicolas Reid, Dave G. Godo, Olav.R. Gerritsen., Hans |
author_sort |
Bouleau, Mireille |
title |
Testing various geostatistical models to combine bottom trawl catches and acoustic data ... |
title_short |
Testing various geostatistical models to combine bottom trawl catches and acoustic data ... |
title_full |
Testing various geostatistical models to combine bottom trawl catches and acoustic data ... |
title_fullStr |
Testing various geostatistical models to combine bottom trawl catches and acoustic data ... |
title_full_unstemmed |
Testing various geostatistical models to combine bottom trawl catches and acoustic data ... |
title_sort |
testing various geostatistical models to combine bottom trawl catches and acoustic data ... |
publisher |
ASC 2004 - R - Theme session |
publishDate |
2024 |
url |
https://dx.doi.org/10.17895/ices.pub.25349776 https://ices-library.figshare.com/articles/conference_contribution/Testing_various_geostatistical_models_to_combine_bottom_trawl_catches_and_acoustic_data/25349776 |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_relation |
https://ices-library.figshare.com/ICES-ASC-2004/groups |
op_rights |
ICES Custom Licence https://www.ices.dk/Pages/library_policies.aspx |
op_doi |
https://doi.org/10.17895/ices.pub.25349776 |
_version_ |
1797580422978207744 |