Mechanisms Associated with Success and Failure of the Anadromous Migration of Atlantic Salmon
Bibliographic record
Abstract
Nearly every animal accomplishes life history tasks that enable growth and fecundity, factors that determine the ultimate fitness of an individual's life, by moving.Migration allows individuals to maximize their potential fitness by exploiting temporal differences in productivity of discrete habitats.Migratory species have high cultural and ecological importance as vectors linking and fertilizing separate ecosystems; however, their reliance on multiple habitats and long-distance movements exposes them to stressors.I applied electronic tagging to observe the behaviour of wild Atlantic salmon, a migratory fish threatened by climate change, habitat destruction, disease, and overexploitation.Observations were applied to evaluate how stressors affected migration success.Atlantic salmon were generally tolerant to stressors as they migrated upriver to spawning grounds.Resumption of migration was delayed for stressed salmon relative to a control group (Chapter 2) and captured salmon selected spawning grounds significantly lower in the river than expected based on the distribution of uncaught fish (Chapter 3).Salmon also exhibited movement away from holding sites when captured late in the season (Chapter 4) but the extent of movement was not significantly different from expected based on observations in Chapter 3. Ultimately, most salmon survived stressors and many were recaptured by recreational anglers (Chapter 5); mortality was best predicted by water temperature at capture (Chapter 6).Selection against some migratory behaviours such as early run timing is ongoing, but stabilizing selection for large body size is predicted to preserve migration phenotypes in Atlantic salmon.Oncoming changes to climate, however, were predicted to delay the freshwater entry of salmon (Chapter 7) and may result in multiple stressors during iii migration.Further research is needed into the cumulative effects of multiple stressors and how they may operate on imperiled salmon populations.Long-term consequences may manifest through carryover effects that reduce the probability of overwinter survival and iteroparity, insidious consequences that should be further investigated.This thesis provides a framework for addressing questions about the survival, delay, and extent of movement of animals encountering anthropogenic stressors during migration.Future work may follow this model to investigate migration and evaluate the impact of stressors on migration success. Chapter 2 Experimental evaluation of the locomotor activity patterns of Atlanticsalmon in the early phase of the spawning migration following exposure to a fisheries stressor
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".