Evaluating Strategies for Mitigating the Effects of Transport Stress in Hatchery-reared Juvenile Atlantic Salmon (Salmo salar)
Bibliographic record
Abstract
Transport is a necessary tool when moving animals for reintroduction efforts. During these events, organisms are often subjected to several different stressors. It is particularly important to minimize the effects of stress to improve the likelihood of survival upon release. I am evaluating the effectiveness of pre-transport enrichment and post-transport release strategy on the mitigation of transport-induced stress in reintroduced juvenile Atlantic salmon (Salmo salar). I first compared dietary and structural enrichment as pre-transport rearing strategies that may reduce the stress response of fish to transport. The stress physiology (using cortisol, glucose and lactate as measures) of enriched fish was compared to that of non-enriched (control) fish following a standard two hour transport reintroduction event. I found that compared to non- enriched control fish, enrichment in rearing had no effect on the stress physiology of fish throughout transport. For post-transport stress mitigation, I compared the stress physiology of fish that experienced a standard hard-release strategy following transport (immediate release and no acclimation period), to fish that experienced a soft-release strategy following transport, in which they were given an extended period to safely acclimatize in their new environment prior to release. I found that soft-release procedures had a significant mitigative effect on the stress physiology of transported fish compared to those that were hard-released. Collectively, my thesis aimed to monitor stress levels in fish throughout necessary transport reintroduction events, as well as evaluate strategies that could be used to mitigate excessive transport-induced physiological stress in juvenile Atlantic salmon. This project provides valuable information for the Ontario Atlantic salmon reintroduction program as a whole, as well as for other fish stocking, supplementation or conservation programs that rely on transport.
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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 | 0.001 | 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) | 0.001 | 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".