An examination of harvest rates and brood-take rates as management strategies to assist recovery of Cowichan River Chinook salmon.
Bibliographic record
Abstract
The Cowichan River fall-run Chinook salmon (Oncorhynchus tshawytscha) population has been a serious conservation concern since 1997. I developed a stochastic life-history simulation model of both hatchery-origin and naturally-spawning Chinook in this system to evaluate management options involving specific harvest and hatchery brood-take rates. Ocean harvest was more influential than supplementation on the stock’s abundance. My results suggest that this stock’s recovery is unlikely to occur under current poor marine survival conditions and either the status-quo management strategy or lower harvest rates that managers are likely to find realistic. Model outputs also allowed analysis of trade-offs among management objectives involving conservation, Food, Social and Ceremonial and ocean harvests, and hatchery operations. Analyses of these performance indicators showed that under poor or intermediate marine survival conditions, the best management strategies (according to most indicators, including ocean harvest) involved the lowest ocean harvest rates examined here, i.e., 30% or 40% annually.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 teacher head, 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".