Using Multivariate Autoregressive State-Space Models to Examine Stocks of Greenland Halibut in the North Atlantic

To manage a fishery effectively, and implement worthwhile fisheries regimes and conservation plans, it is highly important recognizing the stock structure of an exploited species. Greenland halibut is managed in the North Atlantic as four separated offshore stocks. Here I work with three of those st...

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Main Author: Úbeda Quesada, Julio
Other Authors: Sánchez-Lizaso, José Luis, Nogueira Gassent, Adriana, Universidad de Alicante. Departamento de Ciencias del Mar y Biología Aplicada
Format: Master Thesis
Language:English
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/10045/117002
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spelling ftunivalicante:oai:rua.ua.es:10045/117002 2023-05-15T15:39:10+02:00 Using Multivariate Autoregressive State-Space Models to Examine Stocks of Greenland Halibut in the North Atlantic Úbeda Quesada, Julio Sánchez-Lizaso, José Luis Nogueira Gassent, Adriana Universidad de Alicante. Departamento de Ciencias del Mar y Biología Aplicada 2021-07-30 http://hdl.handle.net/10045/117002 eng eng http://hdl.handle.net/10045/117002 2020-21-43813-D070-C4-60304 Licencia Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 info:eu-repo/semantics/openAccess CC-BY-NC-ND Population structure Greenland halibut Multivariate Autoregressive State-Space models North Atlantic Ocean Sustainable fisheries management Zoología info:eu-repo/semantics/masterThesis 2021 ftunivalicante 2021-08-03T23:17:27Z To manage a fishery effectively, and implement worthwhile fisheries regimes and conservation plans, it is highly important recognizing the stock structure of an exploited species. Greenland halibut is managed in the North Atlantic as four separated offshore stocks. Here I work with three of those stocks, the Northeast Canada - West Greenland (NWAS), the East Greenland, Iceland and Faroes waters (WNS) and the Barents Sea (NAS) to examine if the existing management boundaries should be maintained or should be reconsidered. For that I have combined abundance time-series from bottom trawl surveys from 4 different countries from 1996 to 2019, and I have mathematically formulated 13 different hypotheses about the population structure of Greenland halibut with Multivariate Autoregressive State-Space (MARSS) models. These hypotheses were based on the literature and biology of the GHL, at two different depth zones (shallow < 400 m; deep > 400 m) and for 3 length ranges (9-29 cm, juveniles; 30-60 cm maturing; > 61cm adults). Finally, for each hypotheses, I run the models with different levels of parameters complexity, and with and without covariates (NAO index and commercial catches) to evaluate relationships with climate and commercial catches. The best fit model included five different trajectories without the effect of the covariates: (1) One overall trajectory for NWAS; (2) East Greenland north; (3) East Greenland south (juveniles, maturing, and adults deep) - West Iceland (juveniles, and maturing deep); (4) West Iceland adults deep - West Iceland (juveniles, maturing and adults shallow) - East Iceland (juveniles, maturing and adults shallow) - East Iceland adults deep; and (5) East Iceland (juveniles and maturing deep) – All NAS. The results of the best fit model suggest that the assessment of Greenland halibut in the North Atlantic should be treated carefully, flagging out the WNS, which seems to be a mix of different populations. Master Thesis Barents Sea East Greenland Faroes Greenland Iceland North Atlantic RUA - Repositorio Institucional de la Universidad de Alicante Barents Sea Canada Greenland
institution Open Polar
collection RUA - Repositorio Institucional de la Universidad de Alicante
op_collection_id ftunivalicante
language English
topic Population structure
Greenland halibut
Multivariate Autoregressive State-Space models
North Atlantic Ocean
Sustainable fisheries management
Zoología
spellingShingle Population structure
Greenland halibut
Multivariate Autoregressive State-Space models
North Atlantic Ocean
Sustainable fisheries management
Zoología
Úbeda Quesada, Julio
Using Multivariate Autoregressive State-Space Models to Examine Stocks of Greenland Halibut in the North Atlantic
topic_facet Population structure
Greenland halibut
Multivariate Autoregressive State-Space models
North Atlantic Ocean
Sustainable fisheries management
Zoología
description To manage a fishery effectively, and implement worthwhile fisheries regimes and conservation plans, it is highly important recognizing the stock structure of an exploited species. Greenland halibut is managed in the North Atlantic as four separated offshore stocks. Here I work with three of those stocks, the Northeast Canada - West Greenland (NWAS), the East Greenland, Iceland and Faroes waters (WNS) and the Barents Sea (NAS) to examine if the existing management boundaries should be maintained or should be reconsidered. For that I have combined abundance time-series from bottom trawl surveys from 4 different countries from 1996 to 2019, and I have mathematically formulated 13 different hypotheses about the population structure of Greenland halibut with Multivariate Autoregressive State-Space (MARSS) models. These hypotheses were based on the literature and biology of the GHL, at two different depth zones (shallow < 400 m; deep > 400 m) and for 3 length ranges (9-29 cm, juveniles; 30-60 cm maturing; > 61cm adults). Finally, for each hypotheses, I run the models with different levels of parameters complexity, and with and without covariates (NAO index and commercial catches) to evaluate relationships with climate and commercial catches. The best fit model included five different trajectories without the effect of the covariates: (1) One overall trajectory for NWAS; (2) East Greenland north; (3) East Greenland south (juveniles, maturing, and adults deep) - West Iceland (juveniles, and maturing deep); (4) West Iceland adults deep - West Iceland (juveniles, maturing and adults shallow) - East Iceland (juveniles, maturing and adults shallow) - East Iceland adults deep; and (5) East Iceland (juveniles and maturing deep) – All NAS. The results of the best fit model suggest that the assessment of Greenland halibut in the North Atlantic should be treated carefully, flagging out the WNS, which seems to be a mix of different populations.
author2 Sánchez-Lizaso, José Luis
Nogueira Gassent, Adriana
Universidad de Alicante. Departamento de Ciencias del Mar y Biología Aplicada
format Master Thesis
author Úbeda Quesada, Julio
author_facet Úbeda Quesada, Julio
author_sort Úbeda Quesada, Julio
title Using Multivariate Autoregressive State-Space Models to Examine Stocks of Greenland Halibut in the North Atlantic
title_short Using Multivariate Autoregressive State-Space Models to Examine Stocks of Greenland Halibut in the North Atlantic
title_full Using Multivariate Autoregressive State-Space Models to Examine Stocks of Greenland Halibut in the North Atlantic
title_fullStr Using Multivariate Autoregressive State-Space Models to Examine Stocks of Greenland Halibut in the North Atlantic
title_full_unstemmed Using Multivariate Autoregressive State-Space Models to Examine Stocks of Greenland Halibut in the North Atlantic
title_sort using multivariate autoregressive state-space models to examine stocks of greenland halibut in the north atlantic
publishDate 2021
url http://hdl.handle.net/10045/117002
geographic Barents Sea
Canada
Greenland
geographic_facet Barents Sea
Canada
Greenland
genre Barents Sea
East Greenland
Faroes
Greenland
Iceland
North Atlantic
genre_facet Barents Sea
East Greenland
Faroes
Greenland
Iceland
North Atlantic
op_relation http://hdl.handle.net/10045/117002
2020-21-43813-D070-C4-60304
op_rights Licencia Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY-NC-ND
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