Protecting marine biodiversity: a comparison of individual habitat quotas and marine protected areas
Bibliographic record
Abstract
Fisheries managers in the United States are required to identify and mitigate the adverse impacts of fishing activity on essential fish habitat (EFH). There are additional concerns that the viability of sessile noncommercial species, animals that are habitat dependent and (or) are themselves constituents of fishery habitat, may be threatened by fishing activities. We propose a system of individual habitat quotas (IHQ) to achieve habitat conservation and species protection cost effectively. Individual quotas of habitat impact units would be distributed to fishers with an aggregate quota set to maintain a target habitat "stock". Using a dynamic, spatially explicit fishery simulation model, we explore the efficiency and effectiveness of an IHQ policy versus marine protected areas (MPAs) for conserving habitat-dependent, sessile species of unknown spatial distributions. Our findings indicate that an IHQ policy with a conservatively established habitat target is better suited to the protection of sessile nontarget species than a rotating or fixed MPA policy.
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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 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".