Back

Genetic stock identification reveals greater use of an oceanic feeding ground around the Faroe Islands by multi-sea winter Atlantic salmon.

O'Sullivan, R. J.; Ozerov, M.; Bolstad, G. H.; Gilbey, J.; Jacobsen, J. A.; Erkinaro, J.; Rikardsen, A. H.; Hindar, K.; Aykanat, T.

2022-07-04 ecology
10.1101/2022.07.04.498682 bioRxiv
Show abstract

There is a general paucity of knowledge regards spatial variation in marine resource use for many taxa, even those of high socio-economic importance such as Atlantic salmon. While it is known that the oceans around the Faroe Islands support a salmon feeding ground, the relative use of this feeding ground by different age classes across different stocks remains largely unexplored. Using a combination of genetic stock assignment and run-reconstruction models, we observed a consistent pattern whereby the proportion of multi-sea winter (MSW) salmon for a given reporting group was substantially greater around the Faroes than the MSW proportion for that reporting groups among the prefisheries abundance. Surprisingly, MSW fish from Ireland and UK were as likely to occur around the Faroes as were MSW fish from more north-eastern regions such as the Teno river and the Barents and White Seas. MSW fish from Southern Norway were the most likely to be caught at the Faroes. While 1SW salmon from Ireland and UK as well as from Southern Norway occurred at similar rates around the Faroes, 1SW fish from more north-eastern reporting groups were nearly entirely absent from the same feeding ground. In combination with previous studies that examine the marine distribution of Atlantic salmon, our results strongly indicate that the oceans around the Faroes play host to a predominantly MSW salmon feeding ground and that use of this resource varies both within the age classes of a given stock as well as between different stocks. Furthermore, these results suggest that MSW fish from certain stocks might preferentially undertake migrations to the Faroes. Variation in spatial resource use may help to buffer salmon stocks against localised negative changes in marine conditions.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Canadian Journal of Fisheries and Aquatic Sciences
18 papers in training set
Top 0.1%
42.1%
2
Evolutionary Applications
108 papers in training set
Top 0.2%
7.8%
3
ICES Journal of Marine Science
11 papers in training set
Top 0.1%
7.2%
50% of probability mass above
4
Frontiers in Marine Science
62 papers in training set
Top 0.2%
5.1%
5
Ecology and Evolution
267 papers in training set
Top 2%
3.2%
6
Marine Ecology Progress Series
21 papers in training set
Top 0.2%
3.2%
7
Peer Community Journal
281 papers in training set
Top 2%
2.6%
8
Aquatic Conservation: Marine and Freshwater Ecosystems
12 papers in training set
Top 0.2%
2.1%
9
Journal of Fish Biology
17 papers in training set
Top 0.2%
2.1%
10
Ecosphere
57 papers in training set
Top 0.7%
1.9%
11
FACETS
14 papers in training set
Top 0.2%
1.7%
12
Journal of Animal Ecology
75 papers in training set
Top 1.0%
1.7%
13
Global Change Biology
78 papers in training set
Top 1%
1.7%
14
Royal Society Open Science
214 papers in training set
Top 4%
1.5%
15
PLOS ONE
5266 papers in training set
Top 55%
1.1%
16
Biological Invasions
14 papers in training set
Top 0.4%
1.0%
17
Proceedings of the Royal Society B: Biological Sciences
393 papers in training set
Top 5%
1.0%
18
Scientific Reports
3612 papers in training set
Top 74%
0.8%
19
Ecological Applications
34 papers in training set
Top 0.9%
0.8%
20
PeerJ
308 papers in training set
Top 11%
0.8%
21
Frontiers in Ecology and Evolution
69 papers in training set
Top 3%
0.6%
22
Molecular Ecology
336 papers in training set
Top 4%
0.6%
23
Diversity and Distributions
28 papers in training set
Top 0.7%
0.6%