Applying biomass dynamic models to the southern horse mackerel stock (Atlantic waters of Iberian Peninsula). A comparison with VPA-based methods

The horse mackerel (Trachurus trachurus) fishery of the Northeast Atlantic, is currently subject to assessment and management in the ICES area. Assessment of the Southern horse mackerel (ICES Divisions VIIIc and IXa) is made with Virtual Population Analysis (VPA), using time series of catch-at-age d...

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Published in:Scientia Marina
Main Authors: Pablo Abaunza, A. Celso Fariña, Alberto Murta
Format: Article in Journal/Newspaper
Language:English
Published: Consejo Superior de Investigaciones Científicas 2003
Subjects:
Online Access:https://doi.org/10.3989/scimar.2003.67s1291
https://doaj.org/article/54d58050aa02424abed656cecb754e5a
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spelling ftdoajarticles:oai:doaj.org/article:54d58050aa02424abed656cecb754e5a 2023-05-15T17:41:40+02:00 Applying biomass dynamic models to the southern horse mackerel stock (Atlantic waters of Iberian Peninsula). A comparison with VPA-based methods Pablo Abaunza A. Celso Fariña Alberto Murta 2003-04-01T00:00:00Z https://doi.org/10.3989/scimar.2003.67s1291 https://doaj.org/article/54d58050aa02424abed656cecb754e5a EN eng Consejo Superior de Investigaciones Científicas http://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/529 https://doaj.org/toc/0214-8358 https://doaj.org/toc/1886-8134 0214-8358 1886-8134 doi:10.3989/scimar.2003.67s1291 https://doaj.org/article/54d58050aa02424abed656cecb754e5a Scientia Marina, Vol 67, Iss S1, Pp 291-300 (2003) trachurus trachurus biomass-dynamic models schaefer parameter estimation virtual population analysis comparison of models reference points Aquaculture. Fisheries. Angling SH1-691 article 2003 ftdoajarticles https://doi.org/10.3989/scimar.2003.67s1291 2022-12-31T13:51:50Z The horse mackerel (Trachurus trachurus) fishery of the Northeast Atlantic, is currently subject to assessment and management in the ICES area. Assessment of the Southern horse mackerel (ICES Divisions VIIIc and IXa) is made with Virtual Population Analysis (VPA), using time series of catch-at-age data and catch-per-unit-of-effort (CPUE) from 1985 to present. The application of biomass-dynamic models to the assessment and catch prediction of this stock has never been attempted before. In this paper, a production model is applied to the Southern horse mackerel stock. To quantify uncertainty in parameter estimates, bootstrap confidence intervals were computed, which showed that estimates could be considered as reliable. The bootstrap standard deviations of Ft, r, MSY and FMSY were relatively small, despite the lack of trends in the available effort series. On the contrary, the catchability, q, showed a coefficient of variation of 74%. The current level of fishing mortality for 1998 was considered as unsustainable for the resource, being well above FMSY according to the biomass-dynamic models, and above Fpa according to the age-structured model. Both models were in close agreement on the time series of fishing mortality and in the perception of the state of the stock. Differences existed in the changes in stock biomass especially over the last years. Over this time period the age-structured model showed an increasing trend in biomass. The estimates of MSY and FMSY were in accordance with the precautionary approach philosophy. The biomass-dynamic model used here was usefully applied to the Southern horse mackerel stock, giving complementary information to the age-structured model, both in the perception of the state of the stock and in the definition of management targets. Article in Journal/Newspaper Northeast Atlantic Directory of Open Access Journals: DOAJ Articles Schaefer ENVELOPE(166.383,166.383,-71.367,-71.367) Scientia Marina 67 S1 291 300
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic trachurus trachurus
biomass-dynamic models
schaefer
parameter estimation
virtual population analysis
comparison of models
reference points
Aquaculture. Fisheries. Angling
SH1-691
spellingShingle trachurus trachurus
biomass-dynamic models
schaefer
parameter estimation
virtual population analysis
comparison of models
reference points
Aquaculture. Fisheries. Angling
SH1-691
Pablo Abaunza
A. Celso Fariña
Alberto Murta
Applying biomass dynamic models to the southern horse mackerel stock (Atlantic waters of Iberian Peninsula). A comparison with VPA-based methods
topic_facet trachurus trachurus
biomass-dynamic models
schaefer
parameter estimation
virtual population analysis
comparison of models
reference points
Aquaculture. Fisheries. Angling
SH1-691
description The horse mackerel (Trachurus trachurus) fishery of the Northeast Atlantic, is currently subject to assessment and management in the ICES area. Assessment of the Southern horse mackerel (ICES Divisions VIIIc and IXa) is made with Virtual Population Analysis (VPA), using time series of catch-at-age data and catch-per-unit-of-effort (CPUE) from 1985 to present. The application of biomass-dynamic models to the assessment and catch prediction of this stock has never been attempted before. In this paper, a production model is applied to the Southern horse mackerel stock. To quantify uncertainty in parameter estimates, bootstrap confidence intervals were computed, which showed that estimates could be considered as reliable. The bootstrap standard deviations of Ft, r, MSY and FMSY were relatively small, despite the lack of trends in the available effort series. On the contrary, the catchability, q, showed a coefficient of variation of 74%. The current level of fishing mortality for 1998 was considered as unsustainable for the resource, being well above FMSY according to the biomass-dynamic models, and above Fpa according to the age-structured model. Both models were in close agreement on the time series of fishing mortality and in the perception of the state of the stock. Differences existed in the changes in stock biomass especially over the last years. Over this time period the age-structured model showed an increasing trend in biomass. The estimates of MSY and FMSY were in accordance with the precautionary approach philosophy. The biomass-dynamic model used here was usefully applied to the Southern horse mackerel stock, giving complementary information to the age-structured model, both in the perception of the state of the stock and in the definition of management targets.
format Article in Journal/Newspaper
author Pablo Abaunza
A. Celso Fariña
Alberto Murta
author_facet Pablo Abaunza
A. Celso Fariña
Alberto Murta
author_sort Pablo Abaunza
title Applying biomass dynamic models to the southern horse mackerel stock (Atlantic waters of Iberian Peninsula). A comparison with VPA-based methods
title_short Applying biomass dynamic models to the southern horse mackerel stock (Atlantic waters of Iberian Peninsula). A comparison with VPA-based methods
title_full Applying biomass dynamic models to the southern horse mackerel stock (Atlantic waters of Iberian Peninsula). A comparison with VPA-based methods
title_fullStr Applying biomass dynamic models to the southern horse mackerel stock (Atlantic waters of Iberian Peninsula). A comparison with VPA-based methods
title_full_unstemmed Applying biomass dynamic models to the southern horse mackerel stock (Atlantic waters of Iberian Peninsula). A comparison with VPA-based methods
title_sort applying biomass dynamic models to the southern horse mackerel stock (atlantic waters of iberian peninsula). a comparison with vpa-based methods
publisher Consejo Superior de Investigaciones Científicas
publishDate 2003
url https://doi.org/10.3989/scimar.2003.67s1291
https://doaj.org/article/54d58050aa02424abed656cecb754e5a
long_lat ENVELOPE(166.383,166.383,-71.367,-71.367)
geographic Schaefer
geographic_facet Schaefer
genre Northeast Atlantic
genre_facet Northeast Atlantic
op_source Scientia Marina, Vol 67, Iss S1, Pp 291-300 (2003)
op_relation http://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/529
https://doaj.org/toc/0214-8358
https://doaj.org/toc/1886-8134
0214-8358
1886-8134
doi:10.3989/scimar.2003.67s1291
https://doaj.org/article/54d58050aa02424abed656cecb754e5a
op_doi https://doi.org/10.3989/scimar.2003.67s1291
container_title Scientia Marina
container_volume 67
container_issue S1
container_start_page 291
op_container_end_page 300
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