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...
Published in: | ICES Journal of Marine Science |
---|---|
Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Oxford University Press
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/1956/20721 https://doi.org/10.1093/icesjms/fsy085 |
id |
ftunivbergen:oai:bora.uib.no:1956/20721 |
---|---|
record_format |
openpolar |
spelling |
ftunivbergen:oai:bora.uib.no:1956/20721 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 2019-06-06T10:52:02Z application/pdf https://hdl.handle.net/1956/20721 https://doi.org/10.1093/icesjms/fsy085 eng eng Oxford University Press Norges forskningsråd: 243895 urn:issn:1054-3139 urn:issn:1095-9289 https://hdl.handle.net/1956/20721 https://doi.org/10.1093/icesjms/fsy085 cristin:1694276 Attribution CC BY http://creativecommons.org/licenses/by/4.0 Copyright International Council for the Exploration of the Sea 2018 ICES Journal of Marine Science Herring range expansion R-INLA species distribution models Peer reviewed Journal article 2019 ftunivbergen https://doi.org/10.1093/icesjms/fsy085 2023-03-14T17:42:22Z 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 University of Bergen: Bergen Open Research Archive (BORA-UiB) ICES Journal of Marine Science 76 2 530 548 |
institution |
Open Polar |
collection |
University of Bergen: Bergen Open Research Archive (BORA-UiB) |
op_collection_id |
ftunivbergen |
language |
English |
topic |
Herring range expansion R-INLA species distribution models |
spellingShingle |
Herring range expansion R-INLA species distribution models 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 |
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. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Nikolioudakis, Nikolaos Skaug, Hans J. Olafsdottir, Anna H. Jansen, Teunis Jacobsen, Jan Arge Enberg, Katja |
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 |
publisher |
Oxford University Press |
publishDate |
2019 |
url |
https://hdl.handle.net/1956/20721 https://doi.org/10.1093/icesjms/fsy085 |
genre |
Nordic Seas Northeast Atlantic |
genre_facet |
Nordic Seas Northeast Atlantic |
op_source |
ICES Journal of Marine Science |
op_relation |
Norges forskningsråd: 243895 urn:issn:1054-3139 urn:issn:1095-9289 https://hdl.handle.net/1956/20721 https://doi.org/10.1093/icesjms/fsy085 cristin:1694276 |
op_rights |
Attribution CC BY http://creativecommons.org/licenses/by/4.0 Copyright International Council for the Exploration of the Sea 2018 |
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_ |
1766115255844339712 |