TY - JOUR
T1 - Mixed-stock analysis of Atlantic herring (Clupea harengus): a tool for identifying management units and complex migration dynamics
AU - Bekkevold, Dorte
AU - Berg, Florian
AU - Polte, Patrick
AU - Bartolino, Valerio
AU - Ojaveer, Henn
AU - Mosegaard, Henrik
AU - Farrell, Edward D.
AU - Fedotova, Jelena
AU - Hemmer-Hansen, Jakob
AU - Huwer, Bastian
AU - Trijoulet, Vanessa
AU - Albertsen, Christoffer Moesgaard
AU - Fuentes-Pardo, Angela P.
AU - Gröhsler, Tomas
AU - Pettersson, Mats
AU - Jansen, Teunis
AU - Folkvord, Arild
AU - Andersson, Leif
PY - 2023
Y1 - 2023
N2 - We 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.
AB - We 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.
KW - Clupeid
KW - Genetic stock identification
KW - Genomics
KW - Management units
KW - Migration
KW - Mixed stock-analysis
KW - Population structure
KW - SNP
U2 - 10.1093/icesjms/fsac223
DO - 10.1093/icesjms/fsac223
M3 - Journal article
VL - 80
SP - 173
EP - 184
JO - ICES Journal of Marine Science
JF - ICES Journal of Marine Science
SN - 1054-3139
IS - 1
M1 - fsac223
ER -