Multidecadal changes in fish growth rates estimated from tagging data: A case study from the Eastern Baltic cod (Gadus morhua, Gadidae)

Long time series of reliable individual growth estimates are crucial for understanding the status of a fish stock and deciding upon appropriate management. Tagging data provide valuable information about fish growth, and are especially useful when age-based growth estimates and stock assessments are...

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Published in:Fish and Fisheries
Main Authors: Mion, Monica, Haase, Stefanie, Hemmer-Hansen, Jakob, Hilvarsson, Annelie, Hüssy, Karin, Krüger-Johnsen, Maria, Krumme, Uwe, McQueen, Kate, Plikshs, Maris, Radtke, Krzysztof, Schade, Franziska Maria, Vitale, Francesca, Casini, Michele
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:https://doi.org/10.1111/faf.12527
https://www.openagrar.de/receive/openagrar_mods_00073637
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author Mion, Monica
Haase, Stefanie
Hemmer-Hansen, Jakob
Hilvarsson, Annelie
Hüssy, Karin
Krüger-Johnsen, Maria
Krumme, Uwe
McQueen, Kate
Plikshs, Maris
Radtke, Krzysztof
Schade, Franziska Maria
Vitale, Francesca
Casini, Michele
author_facet Mion, Monica
Haase, Stefanie
Hemmer-Hansen, Jakob
Hilvarsson, Annelie
Hüssy, Karin
Krüger-Johnsen, Maria
Krumme, Uwe
McQueen, Kate
Plikshs, Maris
Radtke, Krzysztof
Schade, Franziska Maria
Vitale, Francesca
Casini, Michele
author_sort Mion, Monica
collection OpenAgrar (OA)
container_issue 2
container_start_page 413
container_title Fish and Fisheries
container_volume 22
description Long time series of reliable individual growth estimates are crucial for understanding the status of a fish stock and deciding upon appropriate management. Tagging data provide valuable information about fish growth, and are especially useful when age-based growth estimates and stock assessments are compromised by age-determination uncertainties. However, in the literature there is a lack of studies assessing possible changes in growth over time using tagging data. Here, data from tagging experiments performed in the Baltic Sea between 1971 and 2019 were added to those previously analysed for 1955–1970 to build the most extensive tagging dataset available for Eastern Baltic cod (Gadus morhua, Gadidae), a threatened stock with severe age-determination problems. Two length-based methods, the GROTAG model (based on the von Bertalanffy growth function) and a Generalized Additive Model, were used to assess for the first time the potential long-term changes in cod growth using age-independent data. Both methods showed strong changes in growth with an increase until the end of the 1980s (8.6–10.6 cm/year for a 40 cm cod depending on the model) followed by a sharp decline. This study also revealed that the current growth of cod is the lowest observed in the past 7 decades (4.3–5.1 cm/year for a 40 cm cod depending on the model), indicating very low productivity. This study provides the first example of the use of tagging data to estimate multidecadal changes in growth rates in wild fish. This methodology can also be applied to other species, especially in those cases where severe age-determination problems exist.
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op_doi https://doi.org/10.1111/faf.12527
op_relation Fish and fisheries -- 1467-2960 -- 2024788-6
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spelling ftopenagrar:oai:www.openagrar.de:openagrar_mods_00073637 2025-03-02T15:28:30+00:00 Multidecadal changes in fish growth rates estimated from tagging data: A case study from the Eastern Baltic cod (Gadus morhua, Gadidae) Mion, Monica Haase, Stefanie Hemmer-Hansen, Jakob Hilvarsson, Annelie Hüssy, Karin Krüger-Johnsen, Maria Krumme, Uwe McQueen, Kate Plikshs, Maris Radtke, Krzysztof Schade, Franziska Maria Vitale, Francesca Casini, Michele 2021 https://doi.org/10.1111/faf.12527 https://www.openagrar.de/receive/openagrar_mods_00073637 https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00041256/dn063186.pdf eng eng Fish and fisheries -- 1467-2960 -- 2024788-6 https://doi.org/10.1111/faf.12527 https://www.openagrar.de/receive/openagrar_mods_00073637 https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00041256/dn063186.pdf only signed in user all rights reserved info:eu-repo/semantics/restrictedAccess Text article ddc:570 Baltic cod -- generalized additive model -- growth modelling -- mark-recapture -- time series -- von Bertalanffy growth function article Text doc-type:article 2021 ftopenagrar https://doi.org/10.1111/faf.12527 2025-01-31T06:18:31Z Long time series of reliable individual growth estimates are crucial for understanding the status of a fish stock and deciding upon appropriate management. Tagging data provide valuable information about fish growth, and are especially useful when age-based growth estimates and stock assessments are compromised by age-determination uncertainties. However, in the literature there is a lack of studies assessing possible changes in growth over time using tagging data. Here, data from tagging experiments performed in the Baltic Sea between 1971 and 2019 were added to those previously analysed for 1955–1970 to build the most extensive tagging dataset available for Eastern Baltic cod (Gadus morhua, Gadidae), a threatened stock with severe age-determination problems. Two length-based methods, the GROTAG model (based on the von Bertalanffy growth function) and a Generalized Additive Model, were used to assess for the first time the potential long-term changes in cod growth using age-independent data. Both methods showed strong changes in growth with an increase until the end of the 1980s (8.6–10.6 cm/year for a 40 cm cod depending on the model) followed by a sharp decline. This study also revealed that the current growth of cod is the lowest observed in the past 7 decades (4.3–5.1 cm/year for a 40 cm cod depending on the model), indicating very low productivity. This study provides the first example of the use of tagging data to estimate multidecadal changes in growth rates in wild fish. This methodology can also be applied to other species, especially in those cases where severe age-determination problems exist. Article in Journal/Newspaper Gadus morhua OpenAgrar (OA) Fish and Fisheries 22 2 413 427
spellingShingle Text
article
ddc:570
Baltic cod -- generalized additive model -- growth modelling -- mark-recapture -- time series -- von Bertalanffy growth function
Mion, Monica
Haase, Stefanie
Hemmer-Hansen, Jakob
Hilvarsson, Annelie
Hüssy, Karin
Krüger-Johnsen, Maria
Krumme, Uwe
McQueen, Kate
Plikshs, Maris
Radtke, Krzysztof
Schade, Franziska Maria
Vitale, Francesca
Casini, Michele
Multidecadal changes in fish growth rates estimated from tagging data: A case study from the Eastern Baltic cod (Gadus morhua, Gadidae)
title Multidecadal changes in fish growth rates estimated from tagging data: A case study from the Eastern Baltic cod (Gadus morhua, Gadidae)
title_full Multidecadal changes in fish growth rates estimated from tagging data: A case study from the Eastern Baltic cod (Gadus morhua, Gadidae)
title_fullStr Multidecadal changes in fish growth rates estimated from tagging data: A case study from the Eastern Baltic cod (Gadus morhua, Gadidae)
title_full_unstemmed Multidecadal changes in fish growth rates estimated from tagging data: A case study from the Eastern Baltic cod (Gadus morhua, Gadidae)
title_short Multidecadal changes in fish growth rates estimated from tagging data: A case study from the Eastern Baltic cod (Gadus morhua, Gadidae)
title_sort multidecadal changes in fish growth rates estimated from tagging data: a case study from the eastern baltic cod (gadus morhua, gadidae)
topic Text
article
ddc:570
Baltic cod -- generalized additive model -- growth modelling -- mark-recapture -- time series -- von Bertalanffy growth function
topic_facet Text
article
ddc:570
Baltic cod -- generalized additive model -- growth modelling -- mark-recapture -- time series -- von Bertalanffy growth function
url https://doi.org/10.1111/faf.12527
https://www.openagrar.de/receive/openagrar_mods_00073637
https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00041256/dn063186.pdf