Stock assessment and biological knowledge: can prediction uncertainty be reduced?
The paper addresses whether we fully utilise our increasing biological knowledge in fish stock assessments. For illustrative purposes, repeated references are made to the assessment of the north-east Arctic cod stock. In many cases, existing knowledge may allow us to establish relationships for pred...
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Oxford University Press
1996
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Online Access: | http://icesjms.oxfordjournals.org/cgi/content/short/53/4/659 https://doi.org/10.1006/jmsc.1996.0086 |
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fthighwire:oai:open-archive.highwire.org:icesjms:53/4/659 2023-05-15T14:30:26+02:00 Stock assessment and biological knowledge: can prediction uncertainty be reduced? Ulltang, Øyvind 1996-08-01 00:00:00.0 text/html http://icesjms.oxfordjournals.org/cgi/content/short/53/4/659 https://doi.org/10.1006/jmsc.1996.0086 en eng Oxford University Press http://icesjms.oxfordjournals.org/cgi/content/short/53/4/659 http://dx.doi.org/10.1006/jmsc.1996.0086 Copyright (C) 1996, International Council for the Exploration of the Sea/Conseil International pour l'Exploration de la Mer Articles TEXT 1996 fthighwire https://doi.org/10.1006/jmsc.1996.0086 2013-05-26T13:04:48Z The paper addresses whether we fully utilise our increasing biological knowledge in fish stock assessments. For illustrative purposes, repeated references are made to the assessment of the north-east Arctic cod stock. In many cases, existing knowledge may allow us to establish relationships for predicting short or medium term changes in vital population parameters determining mortality, growth, and recruitment. Ancillary variables in such relationships, with a priori justification for being chosen, could be parameters describing the state of the fish stock in question or the state of its biological or physical environment. Long time-series of biological data exist for several stocks, and these data series should be used for testing proposed relationships. Explanatory theories should be used for making predictions not dependent on the assumption that historical patterns will be repeated, increasing the empirical or informative content of our assessments. Text Arctic cod Arctic HighWire Press (Stanford University) Arctic ICES Journal of Marine Science 53 4 659 675 |
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HighWire Press (Stanford University) |
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English |
topic |
Articles |
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Articles Ulltang, Øyvind Stock assessment and biological knowledge: can prediction uncertainty be reduced? |
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Articles |
description |
The paper addresses whether we fully utilise our increasing biological knowledge in fish stock assessments. For illustrative purposes, repeated references are made to the assessment of the north-east Arctic cod stock. In many cases, existing knowledge may allow us to establish relationships for predicting short or medium term changes in vital population parameters determining mortality, growth, and recruitment. Ancillary variables in such relationships, with a priori justification for being chosen, could be parameters describing the state of the fish stock in question or the state of its biological or physical environment. Long time-series of biological data exist for several stocks, and these data series should be used for testing proposed relationships. Explanatory theories should be used for making predictions not dependent on the assumption that historical patterns will be repeated, increasing the empirical or informative content of our assessments. |
format |
Text |
author |
Ulltang, Øyvind |
author_facet |
Ulltang, Øyvind |
author_sort |
Ulltang, Øyvind |
title |
Stock assessment and biological knowledge: can prediction uncertainty be reduced? |
title_short |
Stock assessment and biological knowledge: can prediction uncertainty be reduced? |
title_full |
Stock assessment and biological knowledge: can prediction uncertainty be reduced? |
title_fullStr |
Stock assessment and biological knowledge: can prediction uncertainty be reduced? |
title_full_unstemmed |
Stock assessment and biological knowledge: can prediction uncertainty be reduced? |
title_sort |
stock assessment and biological knowledge: can prediction uncertainty be reduced? |
publisher |
Oxford University Press |
publishDate |
1996 |
url |
http://icesjms.oxfordjournals.org/cgi/content/short/53/4/659 https://doi.org/10.1006/jmsc.1996.0086 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic cod Arctic |
genre_facet |
Arctic cod Arctic |
op_relation |
http://icesjms.oxfordjournals.org/cgi/content/short/53/4/659 http://dx.doi.org/10.1006/jmsc.1996.0086 |
op_rights |
Copyright (C) 1996, International Council for the Exploration of the Sea/Conseil International pour l'Exploration de la Mer |
op_doi |
https://doi.org/10.1006/jmsc.1996.0086 |
container_title |
ICES Journal of Marine Science |
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53 |
container_issue |
4 |
container_start_page |
659 |
op_container_end_page |
675 |
_version_ |
1766304281949896704 |