Definition of Upper Stock Reference, Target Reference and Maximum Removal Rate Reference Points for Atlantic Salmon (Salmo salar) of DFO Gulf Region
Bibliographic record
Abstract
Fisheries and Oceans Canada (DFO) is developing a precautionary approach (PA) framework for the management of Atlantic Salmon fisheries for DFO Gulf Region rivers. DFO (2018) previously defined river-specific Limit Reference Points (LRPs) for Atlantic Salmon rivers in DFO Gulf Region. This document addresses the definition of the Upper Stock Reference (USR), the Target Reference (TR), and the maximum Removal Rate (RR) reference points in the healthy zone. The USR is defined as 80% of recruitment at maximum sustainable yield and the TR is recruitment at maximum sustainable yield. The maximum removal rate is the exploitation rate that results in maximum sustainable yield. Reconstructed time series of anadromous Atlantic Salmon returns and spawners from two rivers of DFO Gulf Region augmented by data from twelve rivers of the province of Quebec that are proximate to the rivers of the Gulf Region are analyzed. An approach using ratios is proposed to define the USR and TR values based on the defined LRP values. The ratio quantifies the spread between LRP and USR values derived from adult to adult data which is then applied to the LRP which is defined using only the freshwater phase of the salmon life cycle. The mean ratio of USR to LRP for the twelve rivers analyzed is 3.8 and the ratio of TR to LRP is 4.7. The resulting boundary of the cautious / healthy zones is approximately four times higher than the boundary of the critical and cautious zones. The maximum removal rate is taken directly from the adult to adult stock and recruitment analyses and equals 0.6. The LRP, USR, and TR are defined for each river of DFO Gulf Region known or assumed to have an anadromous salmon run. The reference points are expressed in units of eggs contributed by all anadromous sea age and size groups.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".