Enhancing the utility of known-biomass production models: a case study of the Bay of Biscay and Iberian Coast ecoregion

[EN] Our general purpose is to support the use of known-biomass production models (KBPMs), illustrating their usefulness by addressing the evolution of surplus production (SP) over time and the factors affecting it (e.g. environment). We also demonstrate the utility of KBPMs for multispecies managem...

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Published in:Scientia Marina
Main Authors: Zanni, Mohamed Yosri, Cousido-Rocha, Marta, Cerviño, Santiago, Pennino, Maria Grazia
Other Authors: European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Axencia Galega de Innovación, Ministerio de Agricultura, Pesca y Alimentación (España), Generalitat Valenciana
Format: Article in Journal/Newspaper
Language:unknown
Published: Consejo Superior de Investigaciones Científicas (España) 2024
Subjects:
Online Access:http://hdl.handle.net/10261/366285
https://doi.org/10.3989/scimar.05400.083
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spelling ftcsic:oai:digital.csic.es:10261/366285 2024-09-15T18:23:21+00:00 Enhancing the utility of known-biomass production models: a case study of the Bay of Biscay and Iberian Coast ecoregion Realzando la utilidad de los modelos de producción de biomasa conocida: un caso de estudio en la Ecorregión del Golfo de Vizcaya y la Costa Ibérica Zanni, Mohamed Yosri Cousido-Rocha, Marta Cerviño, Santiago Pennino, Maria Grazia European Commission Ministerio de Ciencia, Innovación y Universidades (España) Agencia Estatal de Investigación (España) Axencia Galega de Innovación Ministerio de Agricultura, Pesca y Alimentación (España) Generalitat Valenciana 2024 http://hdl.handle.net/10261/366285 https://doi.org/10.3989/scimar.05400.083 unknown Consejo Superior de Investigaciones Científicas (España) #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099868-B-I00/ES/MEJORA DEL CONSEJO CIENTIFICO PARA LA GESTION DE RECURSOS PESQUEROS DE INTERES PARA ESPAÑA/ Publisher's version http://dx.doi.org/10.3989/scimar.05400.083 Sí doi:10.3989/scimar.05400.083 e-issn: 1886-8134 issn: 0214-8358 Scientia Marina 88(1) : e083 (2024) http://hdl.handle.net/10261/366285 open KBPMs stock assessment models environmental effects biological reference points multispecies surplus production evolution KBPM modelos de evaluación de stocks efectos medioambientales puntos de referencia biológicos multiespecies evolución de la producción excedentaria artículo 2024 ftcsic https://doi.org/10.3989/scimar.05400.083 2024-09-02T14:08:53Z [EN] Our general purpose is to support the use of known-biomass production models (KBPMs), illustrating their usefulness by addressing the evolution of surplus production (SP) over time and the factors affecting it (e.g. environment). We also demonstrate the utility of KBPMs for multispecies management objectives or for estimating maximum sustainable yield reference points without a stock recruitment function, among other worthwhile applications. To do so, we present different uses of KBPMs, illustrating their application on demersal species in the International Council for the Exploration of the Sea (ICES) area, specifically for megrim, white anglerfish and European hake stocks. The proposed analytical approach involved fitting single-species and multispecies KBPMs, conducting retrospective analyses and assessing the effects of environmental variability on SP. The findings show that, in general, stock SP increased after a decline in biomass and SP, except for white anglerfish in the southern area. Megrim stocks are the least productive, while hake and northern anglerfish are the most productive. Retrospective analysis revealed SP shifts in northern hake stock for reasons other than biomass variability. Hence, the North Atlantic Oscillation and the Atlantic Multidecadal Oscillation (AMO), two key climate variability modes in the North Atlantic, were tested for their links to SP, revealing a positive connection between SP and AMO, although further research is necessary. Beyond the specific results of our particular KBPM application, our main conclusion is that KBPMs can serve as a tool complementary to more complex assessment models for resolving unaddressed issues and crosschecking available assessment results. [ES] Nuestro objetivo principal es promover el uso de los modelos de producción de biomasa conocida (KBPMs, por su sigla en inglés), destacando su utilidad para abordar la evolución de la producción excedente (SP, por sus siglas en inglés) a lo largo del tiempo y los factores que inciden en ella, como ... Article in Journal/Newspaper North Atlantic North Atlantic oscillation Digital.CSIC (Spanish National Research Council) Scientia Marina 88 1 e083
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id ftcsic
language unknown
topic KBPMs
stock assessment models
environmental effects
biological reference points
multispecies
surplus production evolution
KBPM
modelos de evaluación de stocks
efectos medioambientales
puntos de referencia biológicos
multiespecies
evolución de la producción excedentaria
spellingShingle KBPMs
stock assessment models
environmental effects
biological reference points
multispecies
surplus production evolution
KBPM
modelos de evaluación de stocks
efectos medioambientales
puntos de referencia biológicos
multiespecies
evolución de la producción excedentaria
Zanni, Mohamed Yosri
Cousido-Rocha, Marta
Cerviño, Santiago
Pennino, Maria Grazia
Enhancing the utility of known-biomass production models: a case study of the Bay of Biscay and Iberian Coast ecoregion
topic_facet KBPMs
stock assessment models
environmental effects
biological reference points
multispecies
surplus production evolution
KBPM
modelos de evaluación de stocks
efectos medioambientales
puntos de referencia biológicos
multiespecies
evolución de la producción excedentaria
description [EN] Our general purpose is to support the use of known-biomass production models (KBPMs), illustrating their usefulness by addressing the evolution of surplus production (SP) over time and the factors affecting it (e.g. environment). We also demonstrate the utility of KBPMs for multispecies management objectives or for estimating maximum sustainable yield reference points without a stock recruitment function, among other worthwhile applications. To do so, we present different uses of KBPMs, illustrating their application on demersal species in the International Council for the Exploration of the Sea (ICES) area, specifically for megrim, white anglerfish and European hake stocks. The proposed analytical approach involved fitting single-species and multispecies KBPMs, conducting retrospective analyses and assessing the effects of environmental variability on SP. The findings show that, in general, stock SP increased after a decline in biomass and SP, except for white anglerfish in the southern area. Megrim stocks are the least productive, while hake and northern anglerfish are the most productive. Retrospective analysis revealed SP shifts in northern hake stock for reasons other than biomass variability. Hence, the North Atlantic Oscillation and the Atlantic Multidecadal Oscillation (AMO), two key climate variability modes in the North Atlantic, were tested for their links to SP, revealing a positive connection between SP and AMO, although further research is necessary. Beyond the specific results of our particular KBPM application, our main conclusion is that KBPMs can serve as a tool complementary to more complex assessment models for resolving unaddressed issues and crosschecking available assessment results. [ES] Nuestro objetivo principal es promover el uso de los modelos de producción de biomasa conocida (KBPMs, por su sigla en inglés), destacando su utilidad para abordar la evolución de la producción excedente (SP, por sus siglas en inglés) a lo largo del tiempo y los factores que inciden en ella, como ...
author2 European Commission
Ministerio de Ciencia, Innovación y Universidades (España)
Agencia Estatal de Investigación (España)
Axencia Galega de Innovación
Ministerio de Agricultura, Pesca y Alimentación (España)
Generalitat Valenciana
format Article in Journal/Newspaper
author Zanni, Mohamed Yosri
Cousido-Rocha, Marta
Cerviño, Santiago
Pennino, Maria Grazia
author_facet Zanni, Mohamed Yosri
Cousido-Rocha, Marta
Cerviño, Santiago
Pennino, Maria Grazia
author_sort Zanni, Mohamed Yosri
title Enhancing the utility of known-biomass production models: a case study of the Bay of Biscay and Iberian Coast ecoregion
title_short Enhancing the utility of known-biomass production models: a case study of the Bay of Biscay and Iberian Coast ecoregion
title_full Enhancing the utility of known-biomass production models: a case study of the Bay of Biscay and Iberian Coast ecoregion
title_fullStr Enhancing the utility of known-biomass production models: a case study of the Bay of Biscay and Iberian Coast ecoregion
title_full_unstemmed Enhancing the utility of known-biomass production models: a case study of the Bay of Biscay and Iberian Coast ecoregion
title_sort enhancing the utility of known-biomass production models: a case study of the bay of biscay and iberian coast ecoregion
publisher Consejo Superior de Investigaciones Científicas (España)
publishDate 2024
url http://hdl.handle.net/10261/366285
https://doi.org/10.3989/scimar.05400.083
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099868-B-I00/ES/MEJORA DEL CONSEJO CIENTIFICO PARA LA GESTION DE RECURSOS PESQUEROS DE INTERES PARA ESPAÑA/
Publisher's version
http://dx.doi.org/10.3989/scimar.05400.083

doi:10.3989/scimar.05400.083
e-issn: 1886-8134
issn: 0214-8358
Scientia Marina 88(1) : e083 (2024)
http://hdl.handle.net/10261/366285
op_rights open
op_doi https://doi.org/10.3989/scimar.05400.083
container_title Scientia Marina
container_volume 88
container_issue 1
container_start_page e083
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