Year-round genetic monitoring of mixed-stock fishery of Atlantic cod ( Gadus morhua ); implications for management

Mixed-stock fisheries pose a challenge for fisheries management recommendations and management, as mixed stocks can lead to unintentional over- or under-exploitation of stocks, with both short- and long-term biological and economic consequences. This study demonstrates practical application and impl...

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Bibliographic Details
Published in:ICES Journal of Marine Science
Main Authors: Christensen, Helle Torp, Rigét, Frank, Retzel, Anja, Nielsen, Erik Haar, Nielsen, Einar Eg, Hedeholm, Rasmus Berg
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
DNA
Online Access:https://orbit.dtu.dk/en/publications/61ea59fd-f095-49a4-9395-0468eea3bd28
https://doi.org/10.1093/icesjms/fsac076
https://backend.orbit.dtu.dk/ws/files/279275541/fsac076.pdf
Description
Summary:Mixed-stock fisheries pose a challenge for fisheries management recommendations and management, as mixed stocks can lead to unintentional over- or under-exploitation of stocks, with both short- and long-term biological and economic consequences. This study demonstrates practical application and implementation of year-round high-resolution genetic stock monitoring in management of mixed Atlantic cod ( Gadus morhua ) stocks in western Greenland. Using a panel of 96 high resolution gene-associated SNPs, we identified the stock of origin for four cod stocks in the two major inshore mixed-stock fisheries. Contribution of individual stocks was quantified to identify if fjord sections, times of year, and fish size, would allow a “clean fishery” with a minimal contribution of the depleted West Greenland Offshore (WGO) population. High level of mixing was identified with 50% of inshore catches originating from the inshore stock, 20% from the East Greenland/Iceland offshore stock, and 30% from the WGO stock. Although some spatiotemporal variation of stock proportions was identified, a practice allowing exclusively fishing a specific stock was not possible. Accordingly, we demonstrate the need to allocate catches at the biological stock level and show that application of high-resolution genetics is a reliable and necessary tool.