Population structure of Greenland halibut across the North Atlantic inferred from large-scale monitoring and spatial modelling

Abstract The Greenland halibut (Reinhardtius hippoglossoides) is an ecologically and economically important marine fish species in the Northern Hemisphere. In the North Atlantic, the current spatial management units comprise four large offshore stocks and eight additional inshore stocks. However, the underlying biological basis for stock separation is uncertain. This may risk misrepresenting key population characteristics and reference points for sustainable management. To identify population structuring and boundaries for Greenland halibut, we here apply a spatial statistical approach using an extensive collection of scientific bottom trawl-surveys. Our analysis demonstrates two overall clusters separating the Northwest and Northeast Atlantic. Our findings are broadly consistent with recent studies on population structuring based on available tagging data and population genetics. However, it is still challenging to establish whether the results of clustering accurately reflect the true population boundaries, especially at a finer spatial scale. Therefore, we call for a broader synthesis of knowledge on population structuring of Greenland halibut utilizing all available sources of information to facilitate the designation of ecologically relevant management units and boundaries.

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Publication Details

Journal
ICES Journal of Marine Science
Published
2025-05-01
DOI
https://doi.org/10.1093/icesjms/fsaf068
Citations
1
Primary Topic
Isotope Analysis in Ecology
Type
article
Field-Weighted Citation Impact
1.72

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article

Population structure of Greenland halibut across the North Atlantic inferred from large-scale monitoring and spatial modelling

Jesper Boje, Mikko Vihtakari, Bjarki Þór Elvarsson, James T. Thorson et al.
1 citations
ICES Journal of Marine Science
Isotope Analysis in Ecology
1.72
article

Population structure of Greenland halibut across the North Atlantic inferred from large-scale monitoring and spatial modelling

Jesper Boje, Mikko Vihtakari, Bjarki Þór Elvarsson, James T. Thorson, Martin Lindegren, D.M. González-Troncoso, Margaret A. Treble, Adriana Nogueira, Magnús Thorlacius, Laura Wheeland, Hugues P. Benoît, Luis Ridao
article en
1 citations

Abstract

Abstract The Greenland halibut (Reinhardtius hippoglossoides) is an ecologically and economically important marine fish species in the Northern Hemisphere. In the North Atlantic, the current spatial management units comprise four large offshore stocks and eight additional inshore stocks. However, the underlying biological basis for stock separation is uncertain. This may risk misrepresenting key population characteristics and reference points for sustainable management. To identify population structuring and boundaries for Greenland halibut, we here apply a spatial statistical approach using an extensive collection of scientific bottom trawl-surveys. Our analysis demonstrates two overall clusters separating the Northwest and Northeast Atlantic. Our findings are broadly consistent with recent studies on population structuring based on available tagging data and population genetics. However, it is still challenging to establish whether the results of clustering accurately reflect the true population boundaries, especially at a finer spatial scale. Therefore, we call for a broader synthesis of knowledge on population structuring of Greenland halibut utilizing all available sources of information to facilitate the designation of ecologically relevant management units and boundaries.

ICES Journal of Marine ScienceVol. 82(5)
NOAA National Marine Fisheries Service (US), Fisheries and Oceans Canada (CA), Norwegian Institute of Marine Research (NO), Instituto Español de Oceanografía (ES), NOAA National Marine Fisheries Service Alaska Fisheries Science Center (US), Marine and Freshwater Research Institute (IS), Havstovan (FO), Grønlands Naturinstitut (GL), Technical University of Denmark (DK)
Nordisk Ministerråd, European Maritime and Fisheries Fund
Openalex Percentile: Top 17%
Isotope Analysis in Ecology
1.72
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