Title: Model averaging to streamline the stock assessment process
Authors: MILLAR COLIN PEARSONJARDIM ErnestoSCOTT FINLAYOSIO GIACOMO CHATOMOSQUEIRA SANCHEZ IAGOALZORRIZ GAMIZ NEKANE
Citation: ICES JOURNAL OF MARINE SCIENCE vol. 72 no. 1 p. 93–98
Publisher: OXFORD UNIV PRESS
Publication Year: 2015
JRC N°: JRC84992
ISSN: 1054-3139
URI: http://icesjms.oxfordjournals.org/content/72/1/93.full.pdf+html
http://publications.jrc.ec.europa.eu/repository/handle/JRC84992
DOI: 10.1093/icesjms/fsu043
Type: Articles in periodicals and books
Abstract: The current fish stock assessment process in Europe can be very resource- and time-intensive. The scientists involved require a very particular set of skills, acquired over their career, drawing from biology, ecology, statistics, mathematical modelling, oceanography, fishery policy, and computing. There is a particular focus on producing a single “best” stock assessment model, but as fishery science advances, there are clear needs to address a range of hypotheses and uncertainties, from large-scale issues such as climate change to specific ones, such as high observation error on young hake. Key to our discussion is the use of the assessment for all frameworks to translate hypotheses into models.Wepropose a change to the current stock assessment procedure, driven by the use of model averaging to address a range of plausible hypotheses, where increased collaboration between the varied disciplines within fishery science will result in more robust advice.
JRC Directorate:Space, Security and Migration

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