Comparison of Harvest Control Policies for Rebuilding Overfished Populations within a Fixed Rebuilding Time Frame
Bibliographic record
Abstract
Abstract U.S. law requires that overfished fish populations be rebuilt within 10 years when biologically possible, and otherwise within the time it would take to rebuild in the absence of fishing plus one mean generation time (MGT). Most overfished populations can recover in less than 10 years; the exceptions are populations with very low productivity and some that are severely depleted. A range of harvest control policies, including constant fishing mortalities and variable harvest rate control rules, were compared in terms of their ability to rebuild overfished populations of five species within the required times. The North Atlantic swordfish Xiphias gladius and Gulf of Mexico red snapper Lutjanus campechanus populations were able to rebuild in 10 years, but the white marlin Tetrapturus albidus, sandbar shark Carcharhinus plumbeus, and darkblotched rockfish Sebastes crameri populations were not. The harvest policy that resulted in populations being rebuilt most rapidly was either a control rule that reduced fishing mortality with decreasing biomass or a constant harvest rate designed to meet the current rebuilding time requirement. The control rules we analyzed restricted catches at the beginning of the rebuilding period but allowed catches to increase rapidly as the population was rebuilt. Thus, there was a trade-off between relatively high catches early in the rebuilding period and high catches later in the rebuilding period when the population had been rebuilt and could sustain high catches. Whether the population was rebuilt more rapidly under a fixed rebuilding-time requirement or a control rule depended on the productivity of the population.
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".