Studying the relationship between spatial fish distributions and trawl catches

We propose an approach for studying the relationship between spatial fish distributions and the distribution of numbers in trawl catches. Individual spatial fish distributions are derived from acoustics data collected with a drifting buoy by tracking individual fish. The spatial distribution of thes...

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Bibliographic Details
Main Authors: Trenkel, Verena M., Godø, Olav Rune, Handegard, Nils Olav, Patel, Ruben
Format: Report
Language:English
Published: ICES 2004
Subjects:
Gam
Online Access:http://hdl.handle.net/11250/106427
id ftimr:oai:imr.brage.unit.no:11250/106427
record_format openpolar
spelling ftimr:oai:imr.brage.unit.no:11250/106427 2023-05-15T15:38:52+02:00 Studying the relationship between spatial fish distributions and trawl catches Trenkel, Verena M. Godø, Olav Rune Handegard, Nils Olav Patel, Ruben 2004 application/pdf http://hdl.handle.net/11250/106427 eng eng ICES ICES CM Documents;2004/R:26 This report is not to be cited without prior reference to the authors http://hdl.handle.net/11250/106427 13 s. catchability fangstpotensiale distribution utbredelse acoustics akustikk 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 2021-09-23T20:15:20Z We propose an approach for studying the relationship between spatial fish distributions and the distribution of numbers in trawl catches. Individual spatial fish distributions are derived from acoustics data collected with a drifting buoy by tracking individual fish. The spatial distribution of these individual fish is then characterised using Generalised Additive Models (GAM). The catch distribution is obtained empirically. A model relating the spatial fish distribution and the catch distribution is then developped. This paper concentrates on the first part of the approach, the identification of the spatial fish distribution from acoustic data, which is illustrated for a demersal example from the Barents sea including mainly cod (Gadus morhua) and haddock (Melanogrammus aeglefinus). Report Barents Sea Gadus morhua Institute for Marine Research: Brage IMR Barents Sea Gam ENVELOPE(-57.955,-57.955,-61.923,-61.923)
institution Open Polar
collection Institute for Marine Research: Brage IMR
op_collection_id ftimr
language English
topic catchability
fangstpotensiale
distribution
utbredelse
acoustics
akustikk
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 catchability
fangstpotensiale
distribution
utbredelse
acoustics
akustikk
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
Trenkel, Verena M.
Godø, Olav Rune
Handegard, Nils Olav
Patel, Ruben
Studying the relationship between spatial fish distributions and trawl catches
topic_facet catchability
fangstpotensiale
distribution
utbredelse
acoustics
akustikk
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 We propose an approach for studying the relationship between spatial fish distributions and the distribution of numbers in trawl catches. Individual spatial fish distributions are derived from acoustics data collected with a drifting buoy by tracking individual fish. The spatial distribution of these individual fish is then characterised using Generalised Additive Models (GAM). The catch distribution is obtained empirically. A model relating the spatial fish distribution and the catch distribution is then developped. This paper concentrates on the first part of the approach, the identification of the spatial fish distribution from acoustic data, which is illustrated for a demersal example from the Barents sea including mainly cod (Gadus morhua) and haddock (Melanogrammus aeglefinus).
format Report
author Trenkel, Verena M.
Godø, Olav Rune
Handegard, Nils Olav
Patel, Ruben
author_facet Trenkel, Verena M.
Godø, Olav Rune
Handegard, Nils Olav
Patel, Ruben
author_sort Trenkel, Verena M.
title Studying the relationship between spatial fish distributions and trawl catches
title_short Studying the relationship between spatial fish distributions and trawl catches
title_full Studying the relationship between spatial fish distributions and trawl catches
title_fullStr Studying the relationship between spatial fish distributions and trawl catches
title_full_unstemmed Studying the relationship between spatial fish distributions and trawl catches
title_sort studying the relationship between spatial fish distributions and trawl catches
publisher ICES
publishDate 2004
url http://hdl.handle.net/11250/106427
long_lat ENVELOPE(-57.955,-57.955,-61.923,-61.923)
geographic Barents Sea
Gam
geographic_facet Barents Sea
Gam
genre Barents Sea
Gadus morhua
genre_facet Barents Sea
Gadus morhua
op_source 13 s.
op_relation ICES CM Documents;2004/R:26
This report is not to be cited without prior reference to the authors
http://hdl.handle.net/11250/106427
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