Governing Marine Fisheries in a Changing Climate: A Game‐Theoretic Perspective
Bibliographic record
Abstract
Marine biological resources are likely to come under increasing stress over the course of the 21st century as global climate change and ocean acidification interact with other stresses, including heavy fishing pressures and marine pollution, to create far reaching and difficult‐to‐predict changes in species abundance, spatial distribution, and trophic interactions. The governance systems in place for marine fisheries and for the marine environment, more broadly, will be critical in determining the extent to which these resources can be managed for sustainability. The paper focuses on the governance of internationally shared fisheries, and draws on a body of game‐theoretic research to discuss present‐day governance problems and to evaluate the implications of global environmental change for future efforts to maintain cooperative and effective governance of shared fishery resources. In particular, the increased likelihood of abrupt and unpredictable changes in the productive potential and migratory behavior of exploited fish stocks may threaten to disrupt cooperative management arrangements. The paper discusses the value of contingency planning based on anticipation of the possibility of such events and concludes with a discussion of future directions for both research and policy development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.026 | 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".