Incorporating predation interactions in a statistical catch-at-age model for a predator-prey system in the eastern Bering Sea

Virtual population analysis and the statistical catch-at-age methods are common stock assessment models used for management advice. The difference between them is the statistical assumptions allowing the fitting of parameters by considering how errors enter into the models and the data sources for t...

Full description

Bibliographic Details
Published in:Canadian Journal of Fisheries and Aquatic Sciences
Main Authors: Jurado-Molina, Jesús, Livingston, Patricia A, Ianelli, James N
Format: Article in Journal/Newspaper
Language:English
Published: Canadian Science Publishing 2005
Subjects:
Online Access:http://dx.doi.org/10.1139/f05-110
http://www.nrcresearchpress.com/doi/pdf/10.1139/f05-110
id crcansciencepubl:10.1139/f05-110
record_format openpolar
spelling crcansciencepubl:10.1139/f05-110 2024-06-23T07:51:45+00:00 Incorporating predation interactions in a statistical catch-at-age model for a predator-prey system in the eastern Bering Sea Jurado-Molina, Jesús Livingston, Patricia A Ianelli, James N 2005 http://dx.doi.org/10.1139/f05-110 http://www.nrcresearchpress.com/doi/pdf/10.1139/f05-110 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 62, issue 8, page 1865-1873 ISSN 0706-652X 1205-7533 journal-article 2005 crcansciencepubl https://doi.org/10.1139/f05-110 2024-05-24T13:05:52Z Virtual population analysis and the statistical catch-at-age methods are common stock assessment models used for management advice. The difference between them is the statistical assumptions allowing the fitting of parameters by considering how errors enter into the models and the data sources for the estimation. Fishery managers are being asked to consider multispecies interactions in their decisions. One option to achieve this goal is the multispecies virtual population analysis (MSVPA); however, its lack of statistical assumptions does not allow the use of tools used in single-species stock assessment. We chose to use a two-species system, walleye pollock (Theragra chalcogramma) and Pacific cod (Gadus macrocephalus), to incorporate the predation equations from MSVPA into an age-structured multispecies statistical model (MSM). Results suggest that both models produced similar estimates of suitability coefficients and predation mortalities. The adult population estimates from the single-species stock assessment and MSM were also comparable. MSM provides a measure of parameter uncertainty, which is not available with the MSVPA technologies. MSM is an important advancement in providing advice to fisheries managers because it incorporates the standard tools such as Bayesian methods and decision analysis into a multispecies context, helping to establish useful scenarios for management in the Bering Sea. Article in Journal/Newspaper Bering Sea Theragra chalcogramma Canadian Science Publishing Bering Sea Pacific Canadian Journal of Fisheries and Aquatic Sciences 62 8 1865 1873
institution Open Polar
collection Canadian Science Publishing
op_collection_id crcansciencepubl
language English
description Virtual population analysis and the statistical catch-at-age methods are common stock assessment models used for management advice. The difference between them is the statistical assumptions allowing the fitting of parameters by considering how errors enter into the models and the data sources for the estimation. Fishery managers are being asked to consider multispecies interactions in their decisions. One option to achieve this goal is the multispecies virtual population analysis (MSVPA); however, its lack of statistical assumptions does not allow the use of tools used in single-species stock assessment. We chose to use a two-species system, walleye pollock (Theragra chalcogramma) and Pacific cod (Gadus macrocephalus), to incorporate the predation equations from MSVPA into an age-structured multispecies statistical model (MSM). Results suggest that both models produced similar estimates of suitability coefficients and predation mortalities. The adult population estimates from the single-species stock assessment and MSM were also comparable. MSM provides a measure of parameter uncertainty, which is not available with the MSVPA technologies. MSM is an important advancement in providing advice to fisheries managers because it incorporates the standard tools such as Bayesian methods and decision analysis into a multispecies context, helping to establish useful scenarios for management in the Bering Sea.
format Article in Journal/Newspaper
author Jurado-Molina, Jesús
Livingston, Patricia A
Ianelli, James N
spellingShingle Jurado-Molina, Jesús
Livingston, Patricia A
Ianelli, James N
Incorporating predation interactions in a statistical catch-at-age model for a predator-prey system in the eastern Bering Sea
author_facet Jurado-Molina, Jesús
Livingston, Patricia A
Ianelli, James N
author_sort Jurado-Molina, Jesús
title Incorporating predation interactions in a statistical catch-at-age model for a predator-prey system in the eastern Bering Sea
title_short Incorporating predation interactions in a statistical catch-at-age model for a predator-prey system in the eastern Bering Sea
title_full Incorporating predation interactions in a statistical catch-at-age model for a predator-prey system in the eastern Bering Sea
title_fullStr Incorporating predation interactions in a statistical catch-at-age model for a predator-prey system in the eastern Bering Sea
title_full_unstemmed Incorporating predation interactions in a statistical catch-at-age model for a predator-prey system in the eastern Bering Sea
title_sort incorporating predation interactions in a statistical catch-at-age model for a predator-prey system in the eastern bering sea
publisher Canadian Science Publishing
publishDate 2005
url http://dx.doi.org/10.1139/f05-110
http://www.nrcresearchpress.com/doi/pdf/10.1139/f05-110
geographic Bering Sea
Pacific
geographic_facet Bering Sea
Pacific
genre Bering Sea
Theragra chalcogramma
genre_facet Bering Sea
Theragra chalcogramma
op_source Canadian Journal of Fisheries and Aquatic Sciences
volume 62, issue 8, page 1865-1873
ISSN 0706-652X 1205-7533
op_rights http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining
op_doi https://doi.org/10.1139/f05-110
container_title Canadian Journal of Fisheries and Aquatic Sciences
container_volume 62
container_issue 8
container_start_page 1865
op_container_end_page 1873
_version_ 1802642878407639040