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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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 |
_version_ |
1810458853959008256 |