Ocean acidification and fisheries – a Bayesian network approach to assessing a wicked problem

Griffith Sciences, Griffith School of Environment Full Text

Bibliographic Details
Main Authors: Richards, R, Meynecke, JO, Sahin, O, Tiller, R, Liu, Y
Format: Conference Object
Language:English
Published: No data provided 2014
Subjects:
Applied statistics
Environmental management
Marine and estuarine ecology (incl. marine ichthyology)
Griffith
Ocean acidification
Online Access:http://hdl.handle.net/10072/64455
id ftgriffithuniv:oai:research-repository.griffith.edu.au:10072/64455
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spelling ftgriffithuniv:oai:research-repository.griffith.edu.au:10072/64455 2024-06-23T07:55:48+00:00 Ocean acidification and fisheries – a Bayesian network approach to assessing a wicked problem Richards, R Meynecke, JO Sahin, O Tiller, R Liu, Y 2014-06-15 to 2014-06-19 San Diego, United States 2014 application/pdf http://hdl.handle.net/10072/64455 English eng eng No data provided Proceedings - 7th International Congress on Environmental Modelling and Software: Bold Visions for Environmental Modeling, iEMSs 2014 iEMSs 2014 http://www.iemss.org/sites/iemss2014/ http://hdl.handle.net/10072/64455 http://creativecommons.org/licenses/by/4.0/ © The Author(s) 2014. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. open access Applied statistics Environmental management Marine and estuarine ecology (incl. marine ichthyology) Conference output 2014 ftgriffithuniv 2024-05-29T00:16:50Z Griffith Sciences, Griffith School of Environment Full Text Conference Object Ocean acidification Griffith University: Griffith Research Online Griffith ENVELOPE(-155.500,-155.500,-85.883,-85.883)
institution Open Polar
collection Griffith University: Griffith Research Online
op_collection_id ftgriffithuniv
language English
topic Applied statistics
Environmental management
Marine and estuarine ecology (incl. marine ichthyology)
spellingShingle Applied statistics
Environmental management
Marine and estuarine ecology (incl. marine ichthyology)
Richards, R
Meynecke, JO
Sahin, O
Tiller, R
Liu, Y
Ocean acidification and fisheries – a Bayesian network approach to assessing a wicked problem
topic_facet Applied statistics
Environmental management
Marine and estuarine ecology (incl. marine ichthyology)
description Griffith Sciences, Griffith School of Environment Full Text
format Conference Object
author Richards, R
Meynecke, JO
Sahin, O
Tiller, R
Liu, Y
author_facet Richards, R
Meynecke, JO
Sahin, O
Tiller, R
Liu, Y
author_sort Richards, R
title Ocean acidification and fisheries – a Bayesian network approach to assessing a wicked problem
title_short Ocean acidification and fisheries – a Bayesian network approach to assessing a wicked problem
title_full Ocean acidification and fisheries – a Bayesian network approach to assessing a wicked problem
title_fullStr Ocean acidification and fisheries – a Bayesian network approach to assessing a wicked problem
title_full_unstemmed Ocean acidification and fisheries – a Bayesian network approach to assessing a wicked problem
title_sort ocean acidification and fisheries – a bayesian network approach to assessing a wicked problem
publisher No data provided
publishDate 2014
url http://hdl.handle.net/10072/64455
op_coverage 2014-06-15 to 2014-06-19
San Diego, United States
long_lat ENVELOPE(-155.500,-155.500,-85.883,-85.883)
geographic Griffith
geographic_facet Griffith
genre Ocean acidification
genre_facet Ocean acidification
op_relation Proceedings - 7th International Congress on Environmental Modelling and Software: Bold Visions for Environmental Modeling, iEMSs 2014
iEMSs 2014
http://www.iemss.org/sites/iemss2014/
http://hdl.handle.net/10072/64455
op_rights http://creativecommons.org/licenses/by/4.0/
© The Author(s) 2014. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
open access
_version_ 1802648511059066880

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