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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Online Access: | http://hdl.handle.net/11250/2636735 https://doi.org/10.1093/icesjms/fsy085 |
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ftimr:oai:imr.brage.unit.no:11250/2636735 2023-05-15T17:24:18+02:00 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, Nikolaos Skaug, Hans J. Olafsdottir, Anna H. Jansen, Teunis Jacobsen, Jan Arge Enberg, Katja 2019 application/pdf http://hdl.handle.net/11250/2636735 https://doi.org/10.1093/icesjms/fsy085 eng eng Norges forskningsråd: 243895 ICES Journal of Marine Science. 2019, 76 (2), 530-548. urn:issn:1054-3139 http://hdl.handle.net/11250/2636735 https://doi.org/10.1093/icesjms/fsy085 cristin:1694276 530-548 76 ICES Journal of Marine Science 2 Journal article Peer reviewed 2019 ftimr https://doi.org/10.1093/icesjms/fsy085 2021-09-23T20:15:41Z 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. publishedVersion Article in Journal/Newspaper Nordic Seas Northeast Atlantic Institute for Marine Research: Brage IMR ICES Journal of Marine Science 76 2 530 548 |
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Open Polar |
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Institute for Marine Research: Brage IMR |
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ftimr |
language |
English |
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. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Nikolioudakis, Nikolaos Skaug, Hans J. Olafsdottir, Anna H. Jansen, Teunis Jacobsen, Jan Arge Enberg, Katja |
spellingShingle |
Nikolioudakis, Nikolaos Skaug, Hans J. Olafsdottir, Anna H. Jansen, Teunis Jacobsen, Jan Arge Enberg, Katja Drivers of the summer-distribution of Northeast Atlantic mackerel (Scomber scombrus) in the Nordic Seas from 2011 to 2017; a Bayesian hierarchical modelling approach. |
author_facet |
Nikolioudakis, Nikolaos Skaug, Hans J. Olafsdottir, Anna H. Jansen, Teunis Jacobsen, Jan Arge Enberg, Katja |
author_sort |
Nikolioudakis, Nikolaos |
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 |
http://hdl.handle.net/11250/2636735 https://doi.org/10.1093/icesjms/fsy085 |
genre |
Nordic Seas Northeast Atlantic |
genre_facet |
Nordic Seas Northeast Atlantic |
op_source |
530-548 76 ICES Journal of Marine Science 2 |
op_relation |
Norges forskningsråd: 243895 ICES Journal of Marine Science. 2019, 76 (2), 530-548. urn:issn:1054-3139 http://hdl.handle.net/11250/2636735 https://doi.org/10.1093/icesjms/fsy085 cristin:1694276 |
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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1766115255658741760 |