Quantifying the influence of geography and environment on the northeast Atlantic mackerel spawning distribution
Mackerel (Scomber scombrus) in the northeast Atlantic have shown changes in distribution at certain times of the year, which have impacted their exploitation and management. In this study, mackerel spawning habitat over 21 recent years was characterised using generalised additive modelling, based on...
Published in: | Fisheries Oceanography |
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Language: | English |
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2018
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Online Access: | https://orbit.dtu.dk/en/publications/4c328301-59be-4b0b-b4b3-ad3b4e93b9d4 https://doi.org/10.1111/fog.12242 |
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ftdtupubl:oai:pure.atira.dk:publications/4c328301-59be-4b0b-b4b3-ad3b4e93b9d4 2024-06-09T07:48:29+00:00 Quantifying the influence of geography and environment on the northeast Atlantic mackerel spawning distribution Brunel, Thomas van Damme, Cindy J. G. Samson, Melvin Dickey-Collas, Mark 2018 https://orbit.dtu.dk/en/publications/4c328301-59be-4b0b-b4b3-ad3b4e93b9d4 https://doi.org/10.1111/fog.12242 eng eng https://orbit.dtu.dk/en/publications/4c328301-59be-4b0b-b4b3-ad3b4e93b9d4 info:eu-repo/semantics/closedAccess Brunel , T , van Damme , C J G , Samson , M & Dickey-Collas , M 2018 , ' Quantifying the influence of geography and environment on the northeast Atlantic mackerel spawning distribution ' , Fisheries Oceanography , vol. 27 , no. 2 , pp. 159-173 . https://doi.org/10.1111/fog.12242 FISHERIES OCEANOGRAPHY ANCHOVY ENGRAULIS-ENCRASICOLUS CLIMATE-CHANGE SPATIAL-DISTRIBUTION MULTIMODEL APPROACH MEDITERRANEAN SEA SCOMBER-SCOMBRUS FISH POPULATIONS SHELF EDGE HABITAT BISCAY density-dependence generalised additive model habitat suitability mackerel spatial distribution spawning strategy density‐dependence /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action /dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water article 2018 ftdtupubl https://doi.org/10.1111/fog.12242 2024-05-15T00:07:08Z Mackerel (Scomber scombrus) in the northeast Atlantic have shown changes in distribution at certain times of the year, which have impacted their exploitation and management. In this study, mackerel spawning habitat over 21 recent years was characterised using generalised additive modelling, based on spatial egg density data collected every third year during targeted ichthyoplankton surveys. Mackerel spawning distribution was found to depend primarily on geographical variables (coordinates and bottom depth), with preferred spawning locations on the shelf-edge from the north of the Iberian peninsula to the west of Scotland, with a maximum west of Ireland. Environmental drivers had a lesser influence on egg distribution. Dome shaped relationships were found with temperature and mixed layer depth, with respective optimum at 13 degrees C and around -300m. The model was used to reconstruct maps of the potential habitat (areas where conditions were suitable, but not necessarily used, for spawning). Little changes were observed over the years in the potential habitat, suggesting that the expansion of the egg distribution (realised habitat) was not triggered by changes in the environmental variables investigated. Little evidence was found for density-dependent habitat selection. There was a tendency for mackerel to make more use of areas of lesser suitability in years with large stock size (1992 and 2010). This pattern, however, broke down in 2013, when stock size was the highest, as spawning occurred very south and concentrated in the most suitable habitat. Article in Journal/Newspaper Northeast Atlantic Technical University of Denmark: DTU Orbit Fisheries Oceanography 27 2 159 173 |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
FISHERIES OCEANOGRAPHY ANCHOVY ENGRAULIS-ENCRASICOLUS CLIMATE-CHANGE SPATIAL-DISTRIBUTION MULTIMODEL APPROACH MEDITERRANEAN SEA SCOMBER-SCOMBRUS FISH POPULATIONS SHELF EDGE HABITAT BISCAY density-dependence generalised additive model habitat suitability mackerel spatial distribution spawning strategy density‐dependence /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action /dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water |
spellingShingle |
FISHERIES OCEANOGRAPHY ANCHOVY ENGRAULIS-ENCRASICOLUS CLIMATE-CHANGE SPATIAL-DISTRIBUTION MULTIMODEL APPROACH MEDITERRANEAN SEA SCOMBER-SCOMBRUS FISH POPULATIONS SHELF EDGE HABITAT BISCAY density-dependence generalised additive model habitat suitability mackerel spatial distribution spawning strategy density‐dependence /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action /dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water Brunel, Thomas van Damme, Cindy J. G. Samson, Melvin Dickey-Collas, Mark Quantifying the influence of geography and environment on the northeast Atlantic mackerel spawning distribution |
topic_facet |
FISHERIES OCEANOGRAPHY ANCHOVY ENGRAULIS-ENCRASICOLUS CLIMATE-CHANGE SPATIAL-DISTRIBUTION MULTIMODEL APPROACH MEDITERRANEAN SEA SCOMBER-SCOMBRUS FISH POPULATIONS SHELF EDGE HABITAT BISCAY density-dependence generalised additive model habitat suitability mackerel spatial distribution spawning strategy density‐dependence /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action /dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water |
description |
Mackerel (Scomber scombrus) in the northeast Atlantic have shown changes in distribution at certain times of the year, which have impacted their exploitation and management. In this study, mackerel spawning habitat over 21 recent years was characterised using generalised additive modelling, based on spatial egg density data collected every third year during targeted ichthyoplankton surveys. Mackerel spawning distribution was found to depend primarily on geographical variables (coordinates and bottom depth), with preferred spawning locations on the shelf-edge from the north of the Iberian peninsula to the west of Scotland, with a maximum west of Ireland. Environmental drivers had a lesser influence on egg distribution. Dome shaped relationships were found with temperature and mixed layer depth, with respective optimum at 13 degrees C and around -300m. The model was used to reconstruct maps of the potential habitat (areas where conditions were suitable, but not necessarily used, for spawning). Little changes were observed over the years in the potential habitat, suggesting that the expansion of the egg distribution (realised habitat) was not triggered by changes in the environmental variables investigated. Little evidence was found for density-dependent habitat selection. There was a tendency for mackerel to make more use of areas of lesser suitability in years with large stock size (1992 and 2010). This pattern, however, broke down in 2013, when stock size was the highest, as spawning occurred very south and concentrated in the most suitable habitat. |
format |
Article in Journal/Newspaper |
author |
Brunel, Thomas van Damme, Cindy J. G. Samson, Melvin Dickey-Collas, Mark |
author_facet |
Brunel, Thomas van Damme, Cindy J. G. Samson, Melvin Dickey-Collas, Mark |
author_sort |
Brunel, Thomas |
title |
Quantifying the influence of geography and environment on the northeast Atlantic mackerel spawning distribution |
title_short |
Quantifying the influence of geography and environment on the northeast Atlantic mackerel spawning distribution |
title_full |
Quantifying the influence of geography and environment on the northeast Atlantic mackerel spawning distribution |
title_fullStr |
Quantifying the influence of geography and environment on the northeast Atlantic mackerel spawning distribution |
title_full_unstemmed |
Quantifying the influence of geography and environment on the northeast Atlantic mackerel spawning distribution |
title_sort |
quantifying the influence of geography and environment on the northeast atlantic mackerel spawning distribution |
publishDate |
2018 |
url |
https://orbit.dtu.dk/en/publications/4c328301-59be-4b0b-b4b3-ad3b4e93b9d4 https://doi.org/10.1111/fog.12242 |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_source |
Brunel , T , van Damme , C J G , Samson , M & Dickey-Collas , M 2018 , ' Quantifying the influence of geography and environment on the northeast Atlantic mackerel spawning distribution ' , Fisheries Oceanography , vol. 27 , no. 2 , pp. 159-173 . https://doi.org/10.1111/fog.12242 |
op_relation |
https://orbit.dtu.dk/en/publications/4c328301-59be-4b0b-b4b3-ad3b4e93b9d4 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1111/fog.12242 |
container_title |
Fisheries Oceanography |
container_volume |
27 |
container_issue |
2 |
container_start_page |
159 |
op_container_end_page |
173 |
_version_ |
1801380230199246848 |