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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Consejo Superior de Investigaciones Científicas
2003
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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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1766143366113787904 |