The Effects of Acid Rain Mitigation Efforts on the Behaviour-Dependent Movement of Migrating Atlantic Salmon (Salmo salar, L.) Smolts
Bibliographic record
Abstract
Acidification has led to changes in the chemistry of fresh waters and has impacted the survival of Atlantic Salmon (Salmo salar), an endangered anadromous fish species. Liming, which has been implemented to restore freshwater ecosystems, has been demonstrated to restore a suitable pH for Atlantic Salmon, however, it remained unknown to what extent liming can restore the underlying behavioural traits and migration behaviour of smolts. We captured 116 smolts from two freshwater river treatments in Nova Scotia, Canada: acidified Little River (n=17) and lime-treated West River (n=99). We performed stream-side behavioural assays and discerned five behavioural metrics: (1) Activity and Food Motivation, (2) Willingness to Explore, (3) Shelter Use, (4) Anti-predator Response, and (5) Foraging Flexibility. Activity and Food Motivation differed significantly between treatments, whereby smolts from West River were less active and food-motivated, which we suggest is an adaptive trait given the risk this behaviour would pose in the daytime. We implanted acoustic transmitters in a subset of smolts (Little River, n=17; West River, n=54), and found that residency times, reversal behaviours, and survival did not differ between treatments. Smolts with high Activity and Food Motivation had marginally extended residency in the inner estuary, potentially increasing conspicuousness and energetic expenditure. Survival declined to 0.79/km within this habitat, underscoring the importance of this habitat for conservation measures. Liming may be a useful conservation method for restoring behavioural types of migrating Atlantic Salmon and should continue to be implemented and its long-term effects investigated further.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".