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Effect of environmental drivers on the spatiotemporal distribution of mackerel at age in the Nordic Seas during 2010-2020

Effect of environmental drivers on the spatiotemporal distribution of mackerel at age in the Nordic Seas during 2010-2020
Effect of environmental drivers on the spatiotemporal distribution of mackerel at age in the Nordic Seas during 2010-2020
A joint spatio-temporal distribution model of mackerel (ages 3 to 10) was developed to investigate the age-based responses of mackerel to three environmental drivers: sea surface temperature (SST), mixed layer depth, and chlorophyll-a concentration during the summer months 2010-2020 in the Nordic Seas. The study showed that SST was the most important variable amongst the one tested and had the strongest impact on the distribution of the younger age classes (3-5) which had a narrower range of favourable SST and a stronger aversion to cold temperature than older individuals. Consequently, the impact of SST differed regionally; in the polar front regions, SST explained up to 61% of the variability in the observed density of young individuals where Arctic water masses likely acted as a barrier to these young individuals. That said, part of it could be confounded with the limited migration capability of young mackerels which could not reach the furthest frontal regions. In warmer southern waters, the same environmental variables had less explanatory power for mackerel of all ages. Individuals in the south were likely not constrained by temperature and perhaps more influenced by other variables such as food availability or ocean current (throughout their migration path), for which appropriate data are lacking. Moreover, the model showed that older mackerel were distributed more to the north and west and their migration pattern changed when the 2013 year-class no longer migrated to the west compared to previous year-classes. Additionally, all year classes started migrating more eastward from summer 2018.
1054-3139
Ono, Kotaro
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Katara, Isidora
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Eliasen, S.K.
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Broms, C.
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Campbell, A.
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dos Santos Schmidt, T.C.
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Egan, A.
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Jacobsen, J.A.
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Jansen, T.
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Mackinson, S.
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Mousing, E.A.
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Nash, R.D.M.
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Nikolioudakis, N.
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Nnanatu, C.
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Hølleland, S.N.
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Nøttestad, L.
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Singh, W.
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Slotte, A.
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Wieland, K.
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Olafsdottir, A.H.
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Ono, Kotaro
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Katara, Isidora
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Eliasen, S.K.
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Broms, C.
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Campbell, A.
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dos Santos Schmidt, T.C.
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Egan, A.
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Jacobsen, J.A.
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Jansen, T.
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Mackinson, S.
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Mousing, E.A.
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Nash, R.D.M.
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Nikolioudakis, N.
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Nnanatu, C.
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Hølleland, S.N.
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Nøttestad, L.
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Singh, W.
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Slotte, A.
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Wieland, K.
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Olafsdottir, A.H.
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Ono, Kotaro, Katara, Isidora, Eliasen, S.K., Broms, C., Campbell, A., dos Santos Schmidt, T.C., Egan, A., Jacobsen, J.A., Jansen, T., Mackinson, S., Mousing, E.A., Nash, R.D.M., Nikolioudakis, N., Nnanatu, C., Hølleland, S.N., Nøttestad, L., Singh, W., Slotte, A., Wieland, K. and Olafsdottir, A.H. (2024) Effect of environmental drivers on the spatiotemporal distribution of mackerel at age in the Nordic Seas during 2010-2020. ICES Journal of Marine Science. (In Press)

Record type: Article

Abstract

A joint spatio-temporal distribution model of mackerel (ages 3 to 10) was developed to investigate the age-based responses of mackerel to three environmental drivers: sea surface temperature (SST), mixed layer depth, and chlorophyll-a concentration during the summer months 2010-2020 in the Nordic Seas. The study showed that SST was the most important variable amongst the one tested and had the strongest impact on the distribution of the younger age classes (3-5) which had a narrower range of favourable SST and a stronger aversion to cold temperature than older individuals. Consequently, the impact of SST differed regionally; in the polar front regions, SST explained up to 61% of the variability in the observed density of young individuals where Arctic water masses likely acted as a barrier to these young individuals. That said, part of it could be confounded with the limited migration capability of young mackerels which could not reach the furthest frontal regions. In warmer southern waters, the same environmental variables had less explanatory power for mackerel of all ages. Individuals in the south were likely not constrained by temperature and perhaps more influenced by other variables such as food availability or ocean current (throughout their migration path), for which appropriate data are lacking. Moreover, the model showed that older mackerel were distributed more to the north and west and their migration pattern changed when the 2013 year-class no longer migrated to the west compared to previous year-classes. Additionally, all year classes started migrating more eastward from summer 2018.

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IJMS_2024_Accepted - Accepted Manuscript
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Accepted/In Press date: 20 June 2024

Identifiers

Local EPrints ID: 492335
URI: http://eprints.soton.ac.uk/id/eprint/492335
ISSN: 1054-3139
PURE UUID: 932b53c5-cb4a-4d14-af3d-8031d0773314
ORCID for C. Nnanatu: ORCID iD orcid.org/0000-0002-5841-3700

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Date deposited: 24 Jul 2024 16:36
Last modified: 25 Jul 2024 02:03

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Contributors

Author: Kotaro Ono
Author: Isidora Katara
Author: S.K. Eliasen
Author: C. Broms
Author: A. Campbell
Author: T.C. dos Santos Schmidt
Author: A. Egan
Author: J.A. Jacobsen
Author: T. Jansen
Author: S. Mackinson
Author: E.A. Mousing
Author: R.D.M. Nash
Author: N. Nikolioudakis
Author: C. Nnanatu ORCID iD
Author: S.N. Hølleland
Author: L. Nøttestad
Author: W. Singh
Author: A. Slotte
Author: K. Wieland
Author: A.H. Olafsdottir

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