Pacific Salmon: Ecology and Management of Western Alaska’s Populations
Bibliographic record
Abstract
Abstract.—Studies have documented density-dependent growth of salmon in the ocean during early and late marine stages in response to competition between species. However, key questions remain as to whether competition and reduced growth at sea translate to lower survival of salmon, and whether changes in ocean regimes can alter this relationship. Few studies have tested these questions, in part, because the capacity of the ocean to support salmon is dynamic and smaller adult size has been associated with high abundance, which infers high overall survival. In support of salmon management activities in the Arctic-Yukon-Kuskokwim (AYK) region, we review evidence from recent studies suggesting that competition at sea can lead to reduced salmon growth and survival and to potentially lower reproductive potential of survivors. Climate change may, however, also affect prey availability and therefore influence the magnitude of competition. Salmon growth (and survival) responses to competition and climate shifts can vary with season and life stage of salmon. We conclude that growth of salmon is key to their survival and that competition at sea is an important, yet often elusive mechanism affecting salmon population dynamics.
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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 | 0.001 |
| 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) | 0.005 | 0.001 |
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".