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dc.contributor.authorBekkevold, Dorte
dc.contributor.authorBerg, Florian
dc.contributor.authorPolte, Patrick
dc.contributor.authorBartolino, Valerio
dc.contributor.authorOjaveer, Henn
dc.contributor.authorMosegaard, Henrik
dc.contributor.authorFarrell, Edward D.
dc.contributor.authorFedotova, Jelena
dc.contributor.authorHemmer-Hansen, Jakob
dc.contributor.authorHuwer, Bastian
dc.contributor.authorTrijoulet, Vanessa
dc.contributor.authorMoesgaard Albertsen, Christoffer
dc.contributor.authorFuentes-Pardo, Angela P.
dc.contributor.authorGröhsler, Tomas
dc.contributor.authorPettersson, Mats
dc.contributor.authorJansen, Teunis
dc.contributor.authorFolkvord, Arild
dc.contributor.authorAndersson, Leif
dc.description.abstractWe developed and validated a mixed-stock analysis (MSA) method with 59 single-nucleotide polymorphisms selected from genome-wide data to assign individuals to populations in mixed-stock samples of Atlantic herring from the North and Baltic seas. We analysed 3734 herring from spawning locations and scientific catches of mixed feeding stocks to demonstrate a “one-fits-all” tool with unprecedented accuracy for monitoring spatio-temporal dynamics throughout a large geographical range with complex stock mixing. We re-analysed time-series data (2002–2021) and compared inferences about stock composition with estimates from morphological data. We show that contributions from the western Baltic spring-spawning stock complex, which is under management concern, have likely been overestimated. We also show that a genetically distinctive population of western Baltic autumn spawners, ascribed low fisheries importance, contributes non-negligible and potentially temporally increasing proportions to mixed-stock aggregations, calling for a re-evaluation of stock definitions. MSA data can be implemented in stock assessment and in a variety of applications, including marine ecosystem description, impact assessment of specific fleets, and stock-rebuilding plans.en_US
dc.publisherOxford University Pressen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleMixed-stock analysis of Atlantic herring (Clupea harengus): a tool for identifying management units and complex migration dynamicsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.source.journalICES Journal of Marine Scienceen_US
dc.relation.projectNorges forskningsråd: 254774en_US
dc.identifier.citationICES Journal of Marine Science. 2023, 80 (1), 173-184.en_US

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