Drivers of the summer-distribution of Northeast Atlantic mackerel (Scomber scombrus) in the Nordic Seas from 2011 to 2017; a Bayesian hierarchical modelling approach

Identifying factors that are statistically correlated with the geographical distribution dynamics of a species can facilitate our understanding of causal physiological and ecological relationships. Northeast Atlantic (NEA) mackerel is a species of great economic and ecological importance, whose habi...

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Published in:ICES Journal of Marine Science
Main Authors: Nikolioudakis, N., Skaug, H. J., Olafsdottir, A. H., Jansen, T., Jacobsen, J. A., Enberg, K.
Format: Article in Journal/Newspaper
Language:English
Published: 2019
Subjects:
Online Access:https://orbit.dtu.dk/en/publications/6b0944fe-090d-4760-87d8-1f340f736a06
https://doi.org/10.1093/icesjms/fsy085
https://backend.orbit.dtu.dk/ws/files/159155139/Publishers_version.pdf
id ftdtupubl:oai:pure.atira.dk:publications/6b0944fe-090d-4760-87d8-1f340f736a06
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spelling ftdtupubl:oai:pure.atira.dk:publications/6b0944fe-090d-4760-87d8-1f340f736a06 2024-09-15T18:20:28+00:00 Drivers of the summer-distribution of Northeast Atlantic mackerel (Scomber scombrus) in the Nordic Seas from 2011 to 2017; a Bayesian hierarchical modelling approach Nikolioudakis, N. Skaug, H. J. Olafsdottir, A. H. Jansen, T. Jacobsen, J. A. Enberg, K. 2019 application/pdf https://orbit.dtu.dk/en/publications/6b0944fe-090d-4760-87d8-1f340f736a06 https://doi.org/10.1093/icesjms/fsy085 https://backend.orbit.dtu.dk/ws/files/159155139/Publishers_version.pdf eng eng https://orbit.dtu.dk/en/publications/6b0944fe-090d-4760-87d8-1f340f736a06 info:eu-repo/semantics/openAccess Nikolioudakis , N , Skaug , H J , Olafsdottir , A H , Jansen , T , Jacobsen , J A & Enberg , K 2019 , ' Drivers of the summer-distribution of Northeast Atlantic mackerel (Scomber scombrus) in the Nordic Seas from 2011 to 2017; a Bayesian hierarchical modelling approach ' , ICES Journal of Marine Science , vol. 76 , no. 2 , pp. 530-548 . https://doi.org/10.1093/icesjms/fsy085 Herring Range expansion R-INLA Species distribution models article 2019 ftdtupubl https://doi.org/10.1093/icesjms/fsy085 2024-07-08T23:51:45Z Identifying factors that are statistically correlated with the geographical distribution dynamics of a species can facilitate our understanding of causal physiological and ecological relationships. Northeast Atlantic (NEA) mackerel is a species of great economic and ecological importance, whose habitat expansion in the last decade has altered the biomass dynamics in the pelagic realm of the Nordic Seas. We highlight drivers that may have regulated the geographical distribution of NEA mackerel during summers, from 2011 to 2017, by fitting Bayesian hierarchical spatiotemporal models on data obtained during the International Ecosystem Summer Survey in the Nordic Seas. Temperature in the upper 50 m of the water column, food availability (approximated by mesozooplankton biomass), a proxy of herring abundance and longitude were the main factors influencing both the catch rates (proxy for fish density) and the occurrence of NEA mackerel. Stock size was not found to directly influence the distribution of the species; however, catch rates in higher latitudes during years of increased stock size were lower. Additionally, we highlight the improved performance of models with spatiotemporal covariance structures, thus providing a useful tool towards elucidating the complex ecological interactions of the pelagic ecosystem of the Nordic Seas Article in Journal/Newspaper Nordic Seas Northeast Atlantic Technical University of Denmark: DTU Orbit ICES Journal of Marine Science 76 2 530 548
institution Open Polar
collection Technical University of Denmark: DTU Orbit
op_collection_id ftdtupubl
language English
topic Herring
Range expansion
R-INLA
Species distribution models
spellingShingle Herring
Range expansion
R-INLA
Species distribution models
Nikolioudakis, N.
Skaug, H. J.
Olafsdottir, A. H.
Jansen, T.
Jacobsen, J. A.
Enberg, K.
Drivers of the summer-distribution of Northeast Atlantic mackerel (Scomber scombrus) in the Nordic Seas from 2011 to 2017; a Bayesian hierarchical modelling approach
topic_facet Herring
Range expansion
R-INLA
Species distribution models
description Identifying factors that are statistically correlated with the geographical distribution dynamics of a species can facilitate our understanding of causal physiological and ecological relationships. Northeast Atlantic (NEA) mackerel is a species of great economic and ecological importance, whose habitat expansion in the last decade has altered the biomass dynamics in the pelagic realm of the Nordic Seas. We highlight drivers that may have regulated the geographical distribution of NEA mackerel during summers, from 2011 to 2017, by fitting Bayesian hierarchical spatiotemporal models on data obtained during the International Ecosystem Summer Survey in the Nordic Seas. Temperature in the upper 50 m of the water column, food availability (approximated by mesozooplankton biomass), a proxy of herring abundance and longitude were the main factors influencing both the catch rates (proxy for fish density) and the occurrence of NEA mackerel. Stock size was not found to directly influence the distribution of the species; however, catch rates in higher latitudes during years of increased stock size were lower. Additionally, we highlight the improved performance of models with spatiotemporal covariance structures, thus providing a useful tool towards elucidating the complex ecological interactions of the pelagic ecosystem of the Nordic Seas
format Article in Journal/Newspaper
author Nikolioudakis, N.
Skaug, H. J.
Olafsdottir, A. H.
Jansen, T.
Jacobsen, J. A.
Enberg, K.
author_facet Nikolioudakis, N.
Skaug, H. J.
Olafsdottir, A. H.
Jansen, T.
Jacobsen, J. A.
Enberg, K.
author_sort Nikolioudakis, N.
title Drivers of the summer-distribution of Northeast Atlantic mackerel (Scomber scombrus) in the Nordic Seas from 2011 to 2017; a Bayesian hierarchical modelling approach
title_short Drivers of the summer-distribution of Northeast Atlantic mackerel (Scomber scombrus) in the Nordic Seas from 2011 to 2017; a Bayesian hierarchical modelling approach
title_full Drivers of the summer-distribution of Northeast Atlantic mackerel (Scomber scombrus) in the Nordic Seas from 2011 to 2017; a Bayesian hierarchical modelling approach
title_fullStr Drivers of the summer-distribution of Northeast Atlantic mackerel (Scomber scombrus) in the Nordic Seas from 2011 to 2017; a Bayesian hierarchical modelling approach
title_full_unstemmed Drivers of the summer-distribution of Northeast Atlantic mackerel (Scomber scombrus) in the Nordic Seas from 2011 to 2017; a Bayesian hierarchical modelling approach
title_sort drivers of the summer-distribution of northeast atlantic mackerel (scomber scombrus) in the nordic seas from 2011 to 2017; a bayesian hierarchical modelling approach
publishDate 2019
url https://orbit.dtu.dk/en/publications/6b0944fe-090d-4760-87d8-1f340f736a06
https://doi.org/10.1093/icesjms/fsy085
https://backend.orbit.dtu.dk/ws/files/159155139/Publishers_version.pdf
genre Nordic Seas
Northeast Atlantic
genre_facet Nordic Seas
Northeast Atlantic
op_source Nikolioudakis , N , Skaug , H J , Olafsdottir , A H , Jansen , T , Jacobsen , J A & Enberg , K 2019 , ' Drivers of the summer-distribution of Northeast Atlantic mackerel (Scomber scombrus) in the Nordic Seas from 2011 to 2017; a Bayesian hierarchical modelling approach ' , ICES Journal of Marine Science , vol. 76 , no. 2 , pp. 530-548 . https://doi.org/10.1093/icesjms/fsy085
op_relation https://orbit.dtu.dk/en/publications/6b0944fe-090d-4760-87d8-1f340f736a06
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1093/icesjms/fsy085
container_title ICES Journal of Marine Science
container_volume 76
container_issue 2
container_start_page 530
op_container_end_page 548
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