Multicentury trends and the sustainability of coral reef fisheries in Hawai‘i and Florida
Bibliographic record
Abstract
Abstract Global overfishing indicates a need to define fisheries sustainability thresholds and identify social factors promoting successful management, but rates of fishing and factors mediating sustainability over long timescales are largely unknown. Here, we reconstruct fisheries yield for the entire period of human habitation (five to seven centuries) for two coral reef ecosystems with substantially different fisheries histories (Florida Keys and the Hawaiian Islands) and evaluate the management strategies associated with periods of sustainable fishing. This involved a mixed methods approach, in which we estimated yield by fishery sector (commercial, subsistence, recreational and aquaculture) and characterized management strategies associated with periods of sustained high yields. We found differences between the two locations, with Hawai‘i sustaining yields of more than 12 mt km−2 for four centuries prior to the arrival of Europeans. This period was characterized by adaptive management whose design and enforcement exhibited characteristics of common property resource governance systems, and which effectively protected reef habitat, vulnerable life‐history stages for fish, and species with high susceptibilities to overfishing. Reefs in both Florida and Hawai‘i were exploited intensively after European contact, with sequential export‐driven depletion evident in Florida over the past century. Today, both exhibit strikingly similar modern catch levels, with landings exceeding 10 mt km−2 and evidence of overfishing. Our results demonstrate that management strategies and social institutions that support strict enforcement by a local rule‐making authority have had substantial impacts on fisheries yields in the past and suggest that long‐term sustainability of fisheries is possible, although rare today.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".