Linking Scales of Life-History Variation With Population Structure in Atlantic Cod

It is increasingly recognised that sustainable exploitation of marine fish requires the consideration of population diversity and associated productivity. This study used a combination of genotypic screening and phenotypic traits to define the scale of population structuring in Atlantic cod inhabiti...

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Bibliographic Details
Published in:Frontiers in Marine Science
Main Authors: Wright, Peter J, Doyle, Alice, Taggart, John B, Davie, Andrew
Other Authors: Marine Alliance for Science & Technology Scotland, Scottish Government, Scottish Government - Enterprise, Environment & Digital - Marine Scotland, Institute of Aquaculture, orcid:0000-0002-3843-9663, orcid:0000-0002-9524-618X
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media SA 2021
Subjects:
Online Access:http://hdl.handle.net/1893/32291
https://doi.org/10.3389/fmars.2021.630515
http://dspace.stir.ac.uk/bitstream/1893/32291/1/Wright%20et%20al%202021%20final.pdf
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Summary:It is increasingly recognised that sustainable exploitation of marine fish requires the consideration of population diversity and associated productivity. This study used a combination of genotypic screening and phenotypic traits to define the scale of population structuring in Atlantic cod inhabiting the northern North Sea (ICES Sub-division 4a) and Scottish west coast (ICES Division 6a). The genetic analysis indicated an isolation by distance pattern with an even finer scale structuring than previously reported, that persisted over a decade and between feeding and spawning seasons. Spatial variation in phenotypic traits reflected genetic variation with cod maturing later and at a larger size near the Viking Bank in 4a. The identified population structuring provides an explanation for differences in historic changes in maturation schedules and the temperature exposure recorded in previous electronic tagging studies. The study also highlights how the mismatch between stock divisions and population units is leading to a misunderstanding about stock recovery.