Inferring Atlantic salmon post-smolt migration patterns using genetic assignment

Understanding migratory patterns is important for predicting and mitigating unwanted consequences of environmental change or anthropogenic challenges on vulnerable species. Wild Atlantic salmon undergo challenging migrations between freshwater and marine environments, and the numbers of salmon retur...

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Published in:Royal Society Open Science
Main Authors: A. C. Harvey, M. Quintela, K. A. Glover, Ø. Karlsen, R. Nilsen, Ø. Skaala, H. Sægrov, S. Kålås, S. Knutar, V. Wennevik
Format: Article in Journal/Newspaper
Language:English
Published: The Royal Society 2019
Subjects:
Q
Online Access:https://doi.org/10.1098/rsos.190426
https://doaj.org/article/4e6dea31709a4da395e7af109e9e40fd
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spelling ftdoajarticles:oai:doaj.org/article:4e6dea31709a4da395e7af109e9e40fd 2023-05-15T15:30:47+02:00 Inferring Atlantic salmon post-smolt migration patterns using genetic assignment A. C. Harvey M. Quintela K. A. Glover Ø. Karlsen R. Nilsen Ø. Skaala H. Sægrov S. Kålås S. Knutar V. Wennevik 2019-10-01T00:00:00Z https://doi.org/10.1098/rsos.190426 https://doaj.org/article/4e6dea31709a4da395e7af109e9e40fd EN eng The Royal Society https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.190426 https://doaj.org/toc/2054-5703 2054-5703 doi:10.1098/rsos.190426 https://doaj.org/article/4e6dea31709a4da395e7af109e9e40fd Royal Society Open Science, Vol 6, Iss 10 (2019) aquaculture management genetics salmon lice salmonid migration Science Q article 2019 ftdoajarticles https://doi.org/10.1098/rsos.190426 2022-12-31T02:48:56Z Understanding migratory patterns is important for predicting and mitigating unwanted consequences of environmental change or anthropogenic challenges on vulnerable species. Wild Atlantic salmon undergo challenging migrations between freshwater and marine environments, and the numbers of salmon returning to their natal rivers to reproduce have declined over several decades. Mortality from sea lice linked to fish farms within their seaward migration routes is proposed as a contributing factor to these declines. Here, we used 31 microsatellite markers to establish a genetic baseline for the main rivers in the Hardangerfjord, western Norway. Mixed stock analysis was used to assign Atlantic salmon post-smolts caught in trawls in 2013–2017 back to regional reporting units. Analyses demonstrated that individuals originating from rivers located in the inner region of the fjord arrived at the outer fjord later than individuals from middle and outer fjord rivers. Therefore, as post-smolts originating from inner rivers also have to migrate longer distances to exit the fjord, these data suggest that inner fjord populations are more likely to be at risk of mortality through aquaculture-produced sea lice, and other natural factors such as predation, than middle or outer fjord populations with earlier exit times and shorter journeys. These results will be used to calibrate models estimating mortality from sea lice on wild salmon for the regulation of the Norwegian aquaculture industry. Article in Journal/Newspaper Atlantic salmon Directory of Open Access Journals: DOAJ Articles Norway Royal Society Open Science 6 10 190426
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic aquaculture
management
genetics
salmon lice
salmonid
migration
Science
Q
spellingShingle aquaculture
management
genetics
salmon lice
salmonid
migration
Science
Q
A. C. Harvey
M. Quintela
K. A. Glover
Ø. Karlsen
R. Nilsen
Ø. Skaala
H. Sægrov
S. Kålås
S. Knutar
V. Wennevik
Inferring Atlantic salmon post-smolt migration patterns using genetic assignment
topic_facet aquaculture
management
genetics
salmon lice
salmonid
migration
Science
Q
description Understanding migratory patterns is important for predicting and mitigating unwanted consequences of environmental change or anthropogenic challenges on vulnerable species. Wild Atlantic salmon undergo challenging migrations between freshwater and marine environments, and the numbers of salmon returning to their natal rivers to reproduce have declined over several decades. Mortality from sea lice linked to fish farms within their seaward migration routes is proposed as a contributing factor to these declines. Here, we used 31 microsatellite markers to establish a genetic baseline for the main rivers in the Hardangerfjord, western Norway. Mixed stock analysis was used to assign Atlantic salmon post-smolts caught in trawls in 2013–2017 back to regional reporting units. Analyses demonstrated that individuals originating from rivers located in the inner region of the fjord arrived at the outer fjord later than individuals from middle and outer fjord rivers. Therefore, as post-smolts originating from inner rivers also have to migrate longer distances to exit the fjord, these data suggest that inner fjord populations are more likely to be at risk of mortality through aquaculture-produced sea lice, and other natural factors such as predation, than middle or outer fjord populations with earlier exit times and shorter journeys. These results will be used to calibrate models estimating mortality from sea lice on wild salmon for the regulation of the Norwegian aquaculture industry.
format Article in Journal/Newspaper
author A. C. Harvey
M. Quintela
K. A. Glover
Ø. Karlsen
R. Nilsen
Ø. Skaala
H. Sægrov
S. Kålås
S. Knutar
V. Wennevik
author_facet A. C. Harvey
M. Quintela
K. A. Glover
Ø. Karlsen
R. Nilsen
Ø. Skaala
H. Sægrov
S. Kålås
S. Knutar
V. Wennevik
author_sort A. C. Harvey
title Inferring Atlantic salmon post-smolt migration patterns using genetic assignment
title_short Inferring Atlantic salmon post-smolt migration patterns using genetic assignment
title_full Inferring Atlantic salmon post-smolt migration patterns using genetic assignment
title_fullStr Inferring Atlantic salmon post-smolt migration patterns using genetic assignment
title_full_unstemmed Inferring Atlantic salmon post-smolt migration patterns using genetic assignment
title_sort inferring atlantic salmon post-smolt migration patterns using genetic assignment
publisher The Royal Society
publishDate 2019
url https://doi.org/10.1098/rsos.190426
https://doaj.org/article/4e6dea31709a4da395e7af109e9e40fd
geographic Norway
geographic_facet Norway
genre Atlantic salmon
genre_facet Atlantic salmon
op_source Royal Society Open Science, Vol 6, Iss 10 (2019)
op_relation https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.190426
https://doaj.org/toc/2054-5703
2054-5703
doi:10.1098/rsos.190426
https://doaj.org/article/4e6dea31709a4da395e7af109e9e40fd
op_doi https://doi.org/10.1098/rsos.190426
container_title Royal Society Open Science
container_volume 6
container_issue 10
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