Embedding stock assessment within an integrated hierarchical Bayesian life cycle modelling framework: an application to Atlantic salmon in the Northeast Atlantic

We developed a hierarchical Bayesian integrated life cycle model for Atlantic salmon that improves on the stock assessment approach currently used by ICES and provides some interesting insights about the population dynamics of a stock assemblage. The model is applied to the salmon stocks in eastern...

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Published in:ICES Journal of Marine Science
Main Authors: Massiot-Granier, Félix, Prévost, Etienne, Chaput, Gérald, Potter, Ted, Smith, Gordon, White, Jonathan, Mäntyniemi, Samu, Rivot, Etienne
Format: Text
Language:English
Published: Oxford University Press 2014
Subjects:
Online Access:http://icesjms.oxfordjournals.org/cgi/content/short/71/7/1653
https://doi.org/10.1093/icesjms/fst240
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spelling fthighwire:oai:open-archive.highwire.org:icesjms:71/7/1653 2023-05-15T15:32:02+02:00 Embedding stock assessment within an integrated hierarchical Bayesian life cycle modelling framework: an application to Atlantic salmon in the Northeast Atlantic Massiot-Granier, Félix Prévost, Etienne Chaput, Gérald Potter, Ted Smith, Gordon White, Jonathan Mäntyniemi, Samu Rivot, Etienne 2014-10-01 00:00:00.0 text/html http://icesjms.oxfordjournals.org/cgi/content/short/71/7/1653 https://doi.org/10.1093/icesjms/fst240 en eng Oxford University Press http://icesjms.oxfordjournals.org/cgi/content/short/71/7/1653 http://dx.doi.org/10.1093/icesjms/fst240 Copyright (C) 2014, International Council for the Exploration of the Sea/Conseil International pour l'Exploration de la Mer Original Articles TEXT 2014 fthighwire https://doi.org/10.1093/icesjms/fst240 2015-02-28T22:23:02Z We developed a hierarchical Bayesian integrated life cycle model for Atlantic salmon that improves on the stock assessment approach currently used by ICES and provides some interesting insights about the population dynamics of a stock assemblage. The model is applied to the salmon stocks in eastern Scotland. It assimilates a 40-year (1971–2010) time-series of data compiled by ICES, including the catches in the distant water fisheries at Faroes and West Greenland and estimates of returning fish abundance. Our model offers major improvements in terms of statistical methodology for A. salmon stock assessment. Uncertainty about inferences is readily quantified in the form of Bayesian posterior distributions for parameters and abundance at all life stages, and the model could be adapted to provide projections based on the uncertainty derived from the estimation phase. The approach offers flexibility to improve the ecological realism of the model. It allows the introduction of density dependence in the egg-to-smolt transition, which is not considered in the current ICES assessment method. The results show that this modifies the inferences on the temporal dynamics of the post-smolt marine survival. In particular, the overall decrease in the marine survival between 1971 and 2010 and the sharp decline around 1988–1990 are dampened when density dependence is considered. The return rates of smolts as two-sea-winter (2SW) fish has declined in a higher proportion than return rates as one-sea-winter (1SW) fish. Our results indicate that this can be explained either by an increase in the proportion maturing as 1SW fish or by an increase in the mortality rate at sea of 2SW fish, but the data used in our analyses do not allow the likelihood of these two hypotheses to be gauged. Text Atlantic salmon Faroes Greenland Northeast Atlantic HighWire Press (Stanford University) Greenland ICES Journal of Marine Science 71 7 1653 1670
institution Open Polar
collection HighWire Press (Stanford University)
op_collection_id fthighwire
language English
topic Original Articles
spellingShingle Original Articles
Massiot-Granier, Félix
Prévost, Etienne
Chaput, Gérald
Potter, Ted
Smith, Gordon
White, Jonathan
Mäntyniemi, Samu
Rivot, Etienne
Embedding stock assessment within an integrated hierarchical Bayesian life cycle modelling framework: an application to Atlantic salmon in the Northeast Atlantic
topic_facet Original Articles
description We developed a hierarchical Bayesian integrated life cycle model for Atlantic salmon that improves on the stock assessment approach currently used by ICES and provides some interesting insights about the population dynamics of a stock assemblage. The model is applied to the salmon stocks in eastern Scotland. It assimilates a 40-year (1971–2010) time-series of data compiled by ICES, including the catches in the distant water fisheries at Faroes and West Greenland and estimates of returning fish abundance. Our model offers major improvements in terms of statistical methodology for A. salmon stock assessment. Uncertainty about inferences is readily quantified in the form of Bayesian posterior distributions for parameters and abundance at all life stages, and the model could be adapted to provide projections based on the uncertainty derived from the estimation phase. The approach offers flexibility to improve the ecological realism of the model. It allows the introduction of density dependence in the egg-to-smolt transition, which is not considered in the current ICES assessment method. The results show that this modifies the inferences on the temporal dynamics of the post-smolt marine survival. In particular, the overall decrease in the marine survival between 1971 and 2010 and the sharp decline around 1988–1990 are dampened when density dependence is considered. The return rates of smolts as two-sea-winter (2SW) fish has declined in a higher proportion than return rates as one-sea-winter (1SW) fish. Our results indicate that this can be explained either by an increase in the proportion maturing as 1SW fish or by an increase in the mortality rate at sea of 2SW fish, but the data used in our analyses do not allow the likelihood of these two hypotheses to be gauged.
format Text
author Massiot-Granier, Félix
Prévost, Etienne
Chaput, Gérald
Potter, Ted
Smith, Gordon
White, Jonathan
Mäntyniemi, Samu
Rivot, Etienne
author_facet Massiot-Granier, Félix
Prévost, Etienne
Chaput, Gérald
Potter, Ted
Smith, Gordon
White, Jonathan
Mäntyniemi, Samu
Rivot, Etienne
author_sort Massiot-Granier, Félix
title Embedding stock assessment within an integrated hierarchical Bayesian life cycle modelling framework: an application to Atlantic salmon in the Northeast Atlantic
title_short Embedding stock assessment within an integrated hierarchical Bayesian life cycle modelling framework: an application to Atlantic salmon in the Northeast Atlantic
title_full Embedding stock assessment within an integrated hierarchical Bayesian life cycle modelling framework: an application to Atlantic salmon in the Northeast Atlantic
title_fullStr Embedding stock assessment within an integrated hierarchical Bayesian life cycle modelling framework: an application to Atlantic salmon in the Northeast Atlantic
title_full_unstemmed Embedding stock assessment within an integrated hierarchical Bayesian life cycle modelling framework: an application to Atlantic salmon in the Northeast Atlantic
title_sort embedding stock assessment within an integrated hierarchical bayesian life cycle modelling framework: an application to atlantic salmon in the northeast atlantic
publisher Oxford University Press
publishDate 2014
url http://icesjms.oxfordjournals.org/cgi/content/short/71/7/1653
https://doi.org/10.1093/icesjms/fst240
geographic Greenland
geographic_facet Greenland
genre Atlantic salmon
Faroes
Greenland
Northeast Atlantic
genre_facet Atlantic salmon
Faroes
Greenland
Northeast Atlantic
op_relation http://icesjms.oxfordjournals.org/cgi/content/short/71/7/1653
http://dx.doi.org/10.1093/icesjms/fst240
op_rights Copyright (C) 2014, International Council for the Exploration of the Sea/Conseil International pour l'Exploration de la Mer
op_doi https://doi.org/10.1093/icesjms/fst240
container_title ICES Journal of Marine Science
container_volume 71
container_issue 7
container_start_page 1653
op_container_end_page 1670
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