Cristin-resultat-ID: 1725101
Sist endret: 15. januar 2020, 09:28
NVI-rapporteringsår: 2019
Resultat
Vitenskapelig oversiktsartikkel/review
2019

Coastal migration patterns of the four largest Barents Sea Atlantic salmon stocks inferred using genetic stock identification methods

Bidragsytere:
  • Martin Svenning
  • Morten Falkegård
  • Eero Niemelä
  • Juha-Pekka Vähä
  • Vidar Wennevik
  • Mikhail Ozerov
  • mfl.

Tidsskrift

ICES Journal of Marine Science
ISSN 1054-3139
e-ISSN 1095-9289
NVI-nivå 2

Om resultatet

Vitenskapelig oversiktsartikkel/review
Publiseringsår: 2019
Publisert online: 2019
Volum: 76
Hefte: 6
Sider: 1379 - 1389
Open Access

Importkilder

Scopus-ID: 2-s2.0-85076775721

Klassifisering

Vitenskapsdisipliner

Zoologiske og botaniske fag

Beskrivelse Beskrivelse

Tittel

Coastal migration patterns of the four largest Barents Sea Atlantic salmon stocks inferred using genetic stock identification methods

Sammendrag

Combining detailed temporal and spatial catch data, including catch per unit effort, with a high-resolution microsatellite genetic baseline facilitated the development of stock-specific coastal migration models for the four largest Atlantic salmon (Salmo salar) populations, Ma˚lselv, Alta, Tana and Kola rivers, contributing to the Barents Sea mixed-stock fishery. Ma˚lselv salmon displayed a restricted coastal movement with 85% of the fish captured within 20 km of their natal river. Kola salmon also demonstrated limited coastal movements in Norwegian waters, with most (> 90%) caught in eastern Finnmark. Multi-sea-winter (MSW) Alta salmon were caught west of Alta fjord across a broader stretch of coast while one-sea-winter (1SW) fish migrated more extensively along the coast prior to river entry. Tana salmon, however, were detected over a broad expanse (600 km) of the North-Norwegian coast. For all populations MSW salmon dominating catches earlier in the season (May–June) while 1SW fish were more common from July to August. This study provides an example of how traditional catch and effort information may be combined with genetic methods to obtain insights into spatial and temporal changes in Atlantic salmon catch composition and their associated migration patterns in a mixed-stock coastal fishery. Atlantic salmon, Barents Sea, coastal fishery, genetics, migration models, salmon stock origin

Bidragsytere

Martin Svenning

  • Tilknyttet:
    Forfatter
    ved NINA Tromsø ved Norsk institutt for naturforskning

Morten Falkegård

  • Tilknyttet:
    Forfatter
    ved NINA Tromsø ved Norsk institutt for naturforskning

Eero Niemelä

  • Tilknyttet:
    Forfatter
    ved Troms og Finnmark fylkeskommune

Juha-Pekka Vähä

  • Tilknyttet:
    Forfatter
    ved Finland

Vidar Wennevik

  • Tilknyttet:
    Forfatter
    ved Populasjonsgenetikk ved Havforskningsinstituttet
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