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

Author:

Svenning Martin-A1ORCID,Falkegård Morten1,Niemelä Eero2,Vähä Juha-Pekka3,Wennevik Vidar4,Ozerov Mikhail5ORCID,Prusov Sergey6,Dempson J Brian7,Power Michael8,Fauchald Per1

Affiliation:

1. Norwegian Institute for Nature Research (NINA), Tromsø, Norway

2. County Governor of Finnmark (FMFI), Vadsø, Norway

3. The Association for Water and Environment of Western Uusimaa, LOHJA, Finland

4. Institute of Marine Research (IMR), Norway

5. Department of Biology, University of Turku, Turku FI-20014, Finland

6. Knipovich Polar Research Institute of Marine Fisheries and Oceanography (PINRO), Murmansk, Russia

7. Fisheries & Oceans Canada, St John’s, NL A1C 5X1, Canada

8. Department of Biology, University of Waterloo, Waterloo, ON, N2L 3G1, Canada

Abstract

Abstract 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, Målselv, Alta, Tana and Kola rivers, contributing to the Barents Sea mixed-stock fishery. Målselv 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.

Funder

Norwegian Research Council

Publisher

Oxford University Press (OUP)

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

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