Stock Identification Methods Working Group (SIMWG)

The Stock Identification Methods Working Group (SIMWG) reviews new methods for the definition and investigation of stock structure and provides advice to other ICES expert groups on how to interpret patterns of population structure. The identification of the spatial boundaries of exploited stocks is...

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Main Authors: Berg, Florian, Cadrin, Steve, Gras, Michael, Hidalgo, Manuel, Hüssy, Karin, Kerr, Lisa, Mackenzie, Kenneth, Mahe, Kelig, Mariani, Stefano, McBride, Richard, Secor, David, White, Emma, Whitener, Zachary, Stransky, Christoph
Format: Text
Language:English
Published: ICES 2020
Subjects:
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spelling ftopenagrar:oai:www.openagrar.de:openagrar_mods_00064489 2023-05-15T17:36:01+02:00 Stock Identification Methods Working Group (SIMWG) Berg, Florian Cadrin, Steve Gras, Michael Hidalgo, Manuel Hüssy, Karin Kerr, Lisa Mackenzie, Kenneth Mahe, Kelig Mariani, Stefano McBride, Richard Secor, David White, Emma Whitener, Zachary Stransky, Christoph 2020 32 Seiten https://doi.org/10.17895/ices.pub.7485 https://www.openagrar.de/receive/openagrar_mods_00064489 https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00033583/dn062773.pdf eng eng ICES https://doi.org/10.17895/ices.pub.7485 https://www.openagrar.de/receive/openagrar_mods_00064489 https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00033583/dn062773.pdf only signed in user all rights reserved info:eu-repo/semantics/openAccess Text ddc:570 collection Text 2020 ftopenagrar https://doi.org/10.17895/ices.pub.7485 2022-05-01T23:16:38Z The Stock Identification Methods Working Group (SIMWG) reviews new methods for the definition and investigation of stock structure and provides advice to other ICES expert groups on how to interpret patterns of population structure. The identification of the spatial boundaries of exploited stocks is a fundamental requirement before any stock assessment or modelling can be contemplated, and therefore lies at the heart of resource management. SIMWG continues to provide annual updates on recent applications of stock identification methods to species assessed by ICES and on advances in stock identification methods. Based on the wide expertise of SIMWG members, the group provides reviews of recent literature on genetics, growth marks in calcified structures, life history parameters, morphometrics/ meristics, tagging, otolith shape, otolith chemistry, parasites and interdisciplinary approaches. A key activity of SIMWG is to address requests by ICES working groups for technical advice on issues of stock identity. In 2020, the working group reviewed the outcome of the Workshop on Stock Identification of North Sea Cod (WKNSCodID). SIMWG contributes to the general understanding of the biological features of the north Atlantic ecosystem through its work to describe fish population structure. Additionally, SIMWG’s annual reviews on advances in stock identification methods keeps ICES members abreast of best practices in this field of study. SIMWG expert reviews on questions of stock structure for particular ICES species are directly relevant to the appropriate definition of stock and contribute to the accuracy of stock assessment and effectiveness of management actions. We see an important role for SIMWG in the future as ICES copes with the shifting distributions of fishery resources and questions regarding the appropriate definition of fish stocks. Understanding stock structure is a fundamental requirement before any assessment or modelling on a stock can be contemplated and SIMWG will continue to work with ICES expert groups to address pressing stock identification issues. Text North Atlantic OpenAgrar (OA)
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ddc:570
spellingShingle Text
ddc:570
Berg, Florian
Cadrin, Steve
Gras, Michael
Hidalgo, Manuel
Hüssy, Karin
Kerr, Lisa
Mackenzie, Kenneth
Mahe, Kelig
Mariani, Stefano
McBride, Richard
Secor, David
White, Emma
Whitener, Zachary
Stransky, Christoph
Stock Identification Methods Working Group (SIMWG)
topic_facet Text
ddc:570
description The Stock Identification Methods Working Group (SIMWG) reviews new methods for the definition and investigation of stock structure and provides advice to other ICES expert groups on how to interpret patterns of population structure. The identification of the spatial boundaries of exploited stocks is a fundamental requirement before any stock assessment or modelling can be contemplated, and therefore lies at the heart of resource management. SIMWG continues to provide annual updates on recent applications of stock identification methods to species assessed by ICES and on advances in stock identification methods. Based on the wide expertise of SIMWG members, the group provides reviews of recent literature on genetics, growth marks in calcified structures, life history parameters, morphometrics/ meristics, tagging, otolith shape, otolith chemistry, parasites and interdisciplinary approaches. A key activity of SIMWG is to address requests by ICES working groups for technical advice on issues of stock identity. In 2020, the working group reviewed the outcome of the Workshop on Stock Identification of North Sea Cod (WKNSCodID). SIMWG contributes to the general understanding of the biological features of the north Atlantic ecosystem through its work to describe fish population structure. Additionally, SIMWG’s annual reviews on advances in stock identification methods keeps ICES members abreast of best practices in this field of study. SIMWG expert reviews on questions of stock structure for particular ICES species are directly relevant to the appropriate definition of stock and contribute to the accuracy of stock assessment and effectiveness of management actions. We see an important role for SIMWG in the future as ICES copes with the shifting distributions of fishery resources and questions regarding the appropriate definition of fish stocks. Understanding stock structure is a fundamental requirement before any assessment or modelling on a stock can be contemplated and SIMWG will continue to work with ICES expert groups to address pressing stock identification issues.
format Text
author Berg, Florian
Cadrin, Steve
Gras, Michael
Hidalgo, Manuel
Hüssy, Karin
Kerr, Lisa
Mackenzie, Kenneth
Mahe, Kelig
Mariani, Stefano
McBride, Richard
Secor, David
White, Emma
Whitener, Zachary
Stransky, Christoph
author_facet Berg, Florian
Cadrin, Steve
Gras, Michael
Hidalgo, Manuel
Hüssy, Karin
Kerr, Lisa
Mackenzie, Kenneth
Mahe, Kelig
Mariani, Stefano
McBride, Richard
Secor, David
White, Emma
Whitener, Zachary
Stransky, Christoph
author_sort Berg, Florian
title Stock Identification Methods Working Group (SIMWG)
title_short Stock Identification Methods Working Group (SIMWG)
title_full Stock Identification Methods Working Group (SIMWG)
title_fullStr Stock Identification Methods Working Group (SIMWG)
title_full_unstemmed Stock Identification Methods Working Group (SIMWG)
title_sort stock identification methods working group (simwg)
publisher ICES
publishDate 2020
url https://doi.org/10.17895/ices.pub.7485
https://www.openagrar.de/receive/openagrar_mods_00064489
https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00033583/dn062773.pdf
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