Modelled marine migrations of Atlantic salmon post-smolts from Irish and Scottish rivers vary interannually with local currents and salinity
Borland, Aislinn and Banas, Neil and Gallego, Alejandro and Speirs, Douglas and Tyldesley, Emma and Bull, Colin (2024) Modelled marine migrations of Atlantic salmon post-smolts from Irish and Scottish rivers vary interannually with local currents and salinity. ICES Journal of Marine Science. ISSN 1054-3139 (In Press) (https://doi.org/10.1093/icesjms/fsae185)
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Abstract
Atlantic salmon (Salmo salar) populations have suffered declines across their range in recent decades, largely attributed to decreasing marine survival rates. The first few months at sea are thought to be a time of particular vulnerability, but investigation into drivers of survival is limited by a lack of knowledge of migratory paths. Here, we model the early marine migration of Atlantic salmon from Scottish and Irish rivers over 27 years. Movement is simulated over the first three months at sea using a Lagrangian particle tracking model (FVCOM i-state Configuration Model) coupled with an active swimming model which is dependent on ocean currents, salinity, and compass direction. Our model is driven by the reanalysis of a high-resolution ocean model (Scottish Shelf Waters Reanalysis Service). Differences in the speed of migrations, the proportion of time spent in different oceanographic regions, and the proportion of migrations reaching the Norwegian Sea are seen between years. These differences are related to changes in local ocean conditions: years with lower on-shelf salinity, stronger on-shelf northwest currents, and stronger shelf-edge currents were associated with greater migration success. Within years, differences in modelled migrations between rivers were best explained by their minimum distance from the continental shelf-edge.
ORCID iDs
Borland, Aislinn, Banas, Neil ORCID: https://orcid.org/0000-0002-1892-9497, Gallego, Alejandro, Speirs, Douglas ORCID: https://orcid.org/0000-0002-4367-1459, Tyldesley, Emma and Bull, Colin;-
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Item type: Article ID code: 91344 Dates: DateEvent3 December 2024Published3 December 2024AcceptedSubjects: Science > Mathematics > Probabilities. Mathematical statistics Department: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 03 Dec 2024 12:55 Last modified: 12 Dec 2024 15:47 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/91344