Spatio-temporal analysis of commercial trawler data using General Additive models: patterns of Loliginid squid abundance in the north-east Atlantic
General Additive Model (GAM) fitting techniques have been employed to understand and predict cephalopod abundance variations in the north-east Atlantic using data on commercial fisheries and geographic and climatic variables. Spatial patterns were studied for general average, seasonal average and mo...
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fthighwire:oai:open-archive.highwire.org:icesjms:59/3/633 2023-05-15T17:38:17+02:00 Spatio-temporal analysis of commercial trawler data using General Additive models: patterns of Loliginid squid abundance in the north-east Atlantic Denis, V. Lejeune, J. Robin, J. P. 2002-01-01 00:00:00.0 text/html http://icesjms.oxfordjournals.org/cgi/content/short/59/3/633 https://doi.org/10.1006/jmsc.2001.1178 en eng Oxford University Press http://icesjms.oxfordjournals.org/cgi/content/short/59/3/633 http://dx.doi.org/10.1006/jmsc.2001.1178 Copyright (C) 2002, International Council for the Exploration of the Sea/Conseil International pour l'Exploration de la Mer Regular Articles TEXT 2002 fthighwire https://doi.org/10.1006/jmsc.2001.1178 2013-05-27T03:29:33Z General Additive Model (GAM) fitting techniques have been employed to understand and predict cephalopod abundance variations in the north-east Atlantic using data on commercial fisheries and geographic and climatic variables. Spatial patterns were studied for general average, seasonal average and monthly recruitment abundance. The capability of this method to model abundance in time and space was tested by comparing observed and calculated Catch per Unit of Effort for a 1° longitude by 0.5° latitude rectangular grid. The influence of the explanatory variables on Loliginid abundance was clearly shown. Climatic variable effects change with time scale. They vary during the year and are mainly important during the pre-recruitment month. GAM allows explanation of the main part of seasonal abundance variations of these species in time and space. GAM also provides the first means of predicting the main recruitment peak area by using previous-month climatic variables. This article demonstrates the advantages of using commercial-fisheries data for ecological studies. Copyright 2002 Published by Elsevier Science Ltd on behalf of International Council for the Exploration of the Sea Text North East Atlantic HighWire Press (Stanford University) Gam ENVELOPE(-57.955,-57.955,-61.923,-61.923) ICES Journal of Marine Science 59 3 633 648 |
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HighWire Press (Stanford University) |
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fthighwire |
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English |
topic |
Regular Articles |
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Regular Articles Denis, V. Lejeune, J. Robin, J. P. Spatio-temporal analysis of commercial trawler data using General Additive models: patterns of Loliginid squid abundance in the north-east Atlantic |
topic_facet |
Regular Articles |
description |
General Additive Model (GAM) fitting techniques have been employed to understand and predict cephalopod abundance variations in the north-east Atlantic using data on commercial fisheries and geographic and climatic variables. Spatial patterns were studied for general average, seasonal average and monthly recruitment abundance. The capability of this method to model abundance in time and space was tested by comparing observed and calculated Catch per Unit of Effort for a 1° longitude by 0.5° latitude rectangular grid. The influence of the explanatory variables on Loliginid abundance was clearly shown. Climatic variable effects change with time scale. They vary during the year and are mainly important during the pre-recruitment month. GAM allows explanation of the main part of seasonal abundance variations of these species in time and space. GAM also provides the first means of predicting the main recruitment peak area by using previous-month climatic variables. This article demonstrates the advantages of using commercial-fisheries data for ecological studies. Copyright 2002 Published by Elsevier Science Ltd on behalf of International Council for the Exploration of the Sea |
format |
Text |
author |
Denis, V. Lejeune, J. Robin, J. P. |
author_facet |
Denis, V. Lejeune, J. Robin, J. P. |
author_sort |
Denis, V. |
title |
Spatio-temporal analysis of commercial trawler data using General Additive models: patterns of Loliginid squid abundance in the north-east Atlantic |
title_short |
Spatio-temporal analysis of commercial trawler data using General Additive models: patterns of Loliginid squid abundance in the north-east Atlantic |
title_full |
Spatio-temporal analysis of commercial trawler data using General Additive models: patterns of Loliginid squid abundance in the north-east Atlantic |
title_fullStr |
Spatio-temporal analysis of commercial trawler data using General Additive models: patterns of Loliginid squid abundance in the north-east Atlantic |
title_full_unstemmed |
Spatio-temporal analysis of commercial trawler data using General Additive models: patterns of Loliginid squid abundance in the north-east Atlantic |
title_sort |
spatio-temporal analysis of commercial trawler data using general additive models: patterns of loliginid squid abundance in the north-east atlantic |
publisher |
Oxford University Press |
publishDate |
2002 |
url |
http://icesjms.oxfordjournals.org/cgi/content/short/59/3/633 https://doi.org/10.1006/jmsc.2001.1178 |
long_lat |
ENVELOPE(-57.955,-57.955,-61.923,-61.923) |
geographic |
Gam |
geographic_facet |
Gam |
genre |
North East Atlantic |
genre_facet |
North East Atlantic |
op_relation |
http://icesjms.oxfordjournals.org/cgi/content/short/59/3/633 http://dx.doi.org/10.1006/jmsc.2001.1178 |
op_rights |
Copyright (C) 2002, International Council for the Exploration of the Sea/Conseil International pour l'Exploration de la Mer |
op_doi |
https://doi.org/10.1006/jmsc.2001.1178 |
container_title |
ICES Journal of Marine Science |
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59 |
container_issue |
3 |
container_start_page |
633 |
op_container_end_page |
648 |
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1766138680134598656 |