A bayesian model for European hake with priors based on life history invariants.
European hake is a main target fish for the fleet operating in Atlantic waters, although there are many biological unknowns that compromise the quality of the current assessment and scientific advice. Growth, natural mortality and reproduction are main biological processes required to develop popula...
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ftcsic:oai:digital.csic.es:10261/328594 2024-02-11T10:05:21+01:00 A bayesian model for European hake with priors based on life history invariants. Cerviño, Santiago Rincón-Hidalgo, Margarita Mäntyniemi, Samu Castro, José Ruiz, Javier Reykjavík (Islandia) 2013 http://hdl.handle.net/10508/6631 http://hdl.handle.net/10261/328594 unknown Centro Oceanográfico de Vigo ICES Annual Science Conference. (23/09/2013 - 27/09/2013. Reykjavik (Iceland)). 2013. ICES CM 2013/Q:11. En: , . http://hdl.handle.net/10508/6631 http://hdl.handle.net/10261/328594 7135 open Pesquerías Centro Oceanográfico de Vigo comunicación de congreso http://purl.org/coar/resource_type/c_5794 2013 ftcsic 2024-01-16T11:49:26Z European hake is a main target fish for the fleet operating in Atlantic waters, although there are many biological unknowns that compromise the quality of the current assessment and scientific advice. Growth, natural mortality and reproduction are main biological processes required to develop population dynamic models for assessment purposes. Currently, the parameters defining these processes such Von Bertalanffy asymptotic length, M, L 50% of maturity or Beverton-Holt steepness are estimated outside the model and set as constants. Population dynamic bayesian models provide a suitable platform to develop solutions to this kind of problems since Bayesian models allow using additional knowledge from similar species in the form of the priors. Informative priors for biological key parameters have been developed based on available data for Northern hake combined with information from other hake species all over the world. This information is analyzed on the light of ecological theory for life history invariants (LHI) to produce the required priors. LHI figures are relatively constant among similar species. Information from other hakes may help to fill the gap in assessment and management of European hake. The pros and cons of using these informative priors to improve hake assessment are finally discussed. Conference Object Islandia Reykjavík Reykjavík Digital.CSIC (Spanish National Research Council) Hake ENVELOPE(15.612,15.612,66.797,66.797) Reykjavík |
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Digital.CSIC (Spanish National Research Council) |
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unknown |
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Pesquerías Centro Oceanográfico de Vigo |
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Pesquerías Centro Oceanográfico de Vigo Cerviño, Santiago Rincón-Hidalgo, Margarita Mäntyniemi, Samu Castro, José Ruiz, Javier A bayesian model for European hake with priors based on life history invariants. |
topic_facet |
Pesquerías Centro Oceanográfico de Vigo |
description |
European hake is a main target fish for the fleet operating in Atlantic waters, although there are many biological unknowns that compromise the quality of the current assessment and scientific advice. Growth, natural mortality and reproduction are main biological processes required to develop population dynamic models for assessment purposes. Currently, the parameters defining these processes such Von Bertalanffy asymptotic length, M, L 50% of maturity or Beverton-Holt steepness are estimated outside the model and set as constants. Population dynamic bayesian models provide a suitable platform to develop solutions to this kind of problems since Bayesian models allow using additional knowledge from similar species in the form of the priors. Informative priors for biological key parameters have been developed based on available data for Northern hake combined with information from other hake species all over the world. This information is analyzed on the light of ecological theory for life history invariants (LHI) to produce the required priors. LHI figures are relatively constant among similar species. Information from other hakes may help to fill the gap in assessment and management of European hake. The pros and cons of using these informative priors to improve hake assessment are finally discussed. |
format |
Conference Object |
author |
Cerviño, Santiago Rincón-Hidalgo, Margarita Mäntyniemi, Samu Castro, José Ruiz, Javier |
author_facet |
Cerviño, Santiago Rincón-Hidalgo, Margarita Mäntyniemi, Samu Castro, José Ruiz, Javier |
author_sort |
Cerviño, Santiago |
title |
A bayesian model for European hake with priors based on life history invariants. |
title_short |
A bayesian model for European hake with priors based on life history invariants. |
title_full |
A bayesian model for European hake with priors based on life history invariants. |
title_fullStr |
A bayesian model for European hake with priors based on life history invariants. |
title_full_unstemmed |
A bayesian model for European hake with priors based on life history invariants. |
title_sort |
bayesian model for european hake with priors based on life history invariants. |
publishDate |
2013 |
url |
http://hdl.handle.net/10508/6631 http://hdl.handle.net/10261/328594 |
op_coverage |
Reykjavík (Islandia) |
long_lat |
ENVELOPE(15.612,15.612,66.797,66.797) |
geographic |
Hake Reykjavík |
geographic_facet |
Hake Reykjavík |
genre |
Islandia Reykjavík Reykjavík |
genre_facet |
Islandia Reykjavík Reykjavík |
op_relation |
Centro Oceanográfico de Vigo ICES Annual Science Conference. (23/09/2013 - 27/09/2013. Reykjavik (Iceland)). 2013. ICES CM 2013/Q:11. En: , . http://hdl.handle.net/10508/6631 http://hdl.handle.net/10261/328594 7135 |
op_rights |
open |
_version_ |
1790602358884925440 |