Testing various geostatistical models to combine bottom trawl catches and acoustic data

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 impr...

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Main Authors: Bouleau, Mireille, Bez, Nicholas, Reid, David, Godø, Olav Rune, Gerritsen, Hans D.
Format: Report
Language:English
Published: ICES 2004
Subjects:
Online Access:http://hdl.handle.net/11250/106429
id ftimr:oai:imr.brage.unit.no:11250/106429
record_format openpolar
spelling ftimr:oai:imr.brage.unit.no:11250/106429 2023-05-15T15:39:00+02:00 Testing various geostatistical models to combine bottom trawl catches and acoustic data Bouleau, Mireille Bez, Nicholas Reid, David Godø, Olav Rune Gerritsen, Hans D. 2004 application/pdf http://hdl.handle.net/11250/106429 eng eng ICES ICES CM Documents;2004/R:28 This report is not to be cited without prior reference to the authors http://hdl.handle.net/11250/106429 19 s. demersal fish bunnfisk bottom trawl bunntrål acoustics akustikk stock assessment bestandsberegning VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920::Catch: 925 VDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452 VDP::Social science: 200::Library and information science: 320::Knowledge retrieval and organization: 323 Working paper 2004 ftimr 2021-09-23T20:15:03Z 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. co-kriging, model with orthogonal residuals, kriging with external drift) in terms of precision, details of maps, variance local and global of the estimation’s errors and cross validation. The role of the acoustic in each model and the precision it brings, is then discussed. Report Barents Sea Institute for Marine Research: Brage IMR Barents Sea
institution Open Polar
collection Institute for Marine Research: Brage IMR
op_collection_id ftimr
language English
topic demersal fish
bunnfisk
bottom trawl
bunntrål
acoustics
akustikk
stock assessment
bestandsberegning
VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920::Catch: 925
VDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452
VDP::Social science: 200::Library and information science: 320::Knowledge retrieval and organization: 323
spellingShingle demersal fish
bunnfisk
bottom trawl
bunntrål
acoustics
akustikk
stock assessment
bestandsberegning
VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920::Catch: 925
VDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452
VDP::Social science: 200::Library and information science: 320::Knowledge retrieval and organization: 323
Bouleau, Mireille
Bez, Nicholas
Reid, David
Godø, Olav Rune
Gerritsen, Hans D.
Testing various geostatistical models to combine bottom trawl catches and acoustic data
topic_facet demersal fish
bunnfisk
bottom trawl
bunntrål
acoustics
akustikk
stock assessment
bestandsberegning
VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920::Catch: 925
VDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452
VDP::Social science: 200::Library and information science: 320::Knowledge retrieval and organization: 323
description 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. co-kriging, model with orthogonal residuals, kriging with external drift) in terms of precision, details of maps, variance local and global of the estimation’s errors and cross validation. The role of the acoustic in each model and the precision it brings, is then discussed.
format Report
author Bouleau, Mireille
Bez, Nicholas
Reid, David
Godø, Olav Rune
Gerritsen, Hans D.
author_facet Bouleau, Mireille
Bez, Nicholas
Reid, David
Godø, Olav Rune
Gerritsen, Hans D.
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 ICES
publishDate 2004
url http://hdl.handle.net/11250/106429
geographic Barents Sea
geographic_facet Barents Sea
genre Barents Sea
genre_facet Barents Sea
op_source 19 s.
op_relation ICES CM Documents;2004/R:28
This report is not to be cited without prior reference to the authors
http://hdl.handle.net/11250/106429
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