| Literature DB >> 35962063 |
Tormod Haraldstad1,2, Torbjørn Forseth3, Esben M Olsen4, Thrond O Haugen5, Erik Höglund6.
Abstract
The precise homing of Atlantic salmon to their natal river and spawning grounds is the foundation for locally adapted genetically differentiated populations across rivers or across river sections. A sequential imprinting hypothesis states that salmon smolts may imprint on environmental clues along the outward migration route and then use this in reverse order to direct the spawning migration later in life. In this study, we provide empirical support for this hypothesis. PIT-tagged wild Atlantic salmon using a 2 km hydropower tunnel as downstream migrating smolts had a 18% (1SW) and 23% (2SW) lower probability of successfully migrating through the parallel river stretch as adult spawners compared to spawners that migrated through the same river stretch as smolts. These findings highlight how a fine-scale riverine migration route may be imprinted in wild Atlantic salmon smolts. From an applied perspective, these results stress the importance of not depriving smolts from parts of their migration route to ensure successful return of adults to their natal spawning grounds.Entities:
Mesh:
Year: 2022 PMID: 35962063 PMCID: PMC9374756 DOI: 10.1038/s41598-022-17690-2
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Figure 1River Nidelva with Rygene hydropower dam with water intake and fish passage including the downstream minimum flow stretch with the parallel turbine water tunnel that exits into River Nidelva 6 km upstream of the river mouth. PIT-antennas in both ends of the minimum flow stretch detect returning PIT-tagged Atlantic salmon spawners.
Logit-parameter estimates and corresponding likelihood-ratio test statistics for the most supported model fitted to predict arrival time (DOY = Day of Year) to River Nidelva for Atlantic salmon spawners PIT tagged as smolts (smolt length) that had spendt one (1SW) or two (2SW) winters at sea before returning to spawn in River Nidelva.
| Parameter estimates | LR-test statistics | |||||
|---|---|---|---|---|---|---|
| Term | Coeff | SE | Effect | d | ||
| Intercept | 295.57 | 26.95 | Sea winter (2SW) | 1 | 20344.9 | < 0.001 |
| Sea winter (2SW) | − 20.42 | 5.10 | Smolt length (mm) | 1 | 8188.2 | 0.003 |
| Smolt length (mm) | − 0.53 | 0.18 | ||||
Logit-parameter estimates and corresponding likelihood-ratio test statistics for the most supported GLM model fitted to predict probabilities for Atlantic salmon spawners to ascend the minimum flow stretch for induviduals that migrated through two different routes as smolts (minimum flow stretch or hydropower tunnel) and spendt one (1SW) or two (2SW) winters at sea before returning to spawn in River Nidelva.
| Parameter estimates | LR-test statistics | |||||
|---|---|---|---|---|---|---|
| Term | Coeff | SE | Effect | d | ||
| Intercept | 1.53 | 0.23 | Smolt route (Tunnel) | 1 | 7.77 | 0.008 |
| Smolt route (Tunnel) | − 0.93 | 0.35 | Sea winter (2SW) | 1 | 6.21 | 0.012 |
| Sea winter (2SW) | − 0.89 | 0.36 | ||||
Figure 2Predicted Atlantic salmon spawners probability to ascend through the minimum flow stretch in River Nidelva for individual river and tunnel migrants as smolts as a function of number of years at sea before returning to spawn (1SW:white points, 2SW black points, with standard error) to River Nidelva derived from the selected binomial GLM reported in Table 2.
Logit-parameter estimates and corresponding likelihood-ratio test statistics for the most supported model fitted to predict progression time through the minimum flow stretch for Atlantic salmon spawners arriving to the lowermost PIT-antenna in River Nidelva at different dates (DoY).
| Parameter estimates | LR-test statistics | |||||
|---|---|---|---|---|---|---|
| Term | Coeff | SE | Effect | d | ||
| Intercept | 3.267 | 0.246 | Arrival DoY | 1 | 2.846 | < 0.001 |
| Arrival DoY | − 0.005 | 0.001 | ||||