Thirty-year impact of a landing obligation on coupled dynamics ecosystem-fishers: individual-based modelling approach applied to Eastern English Channel
Bibliographic record
Abstract
End-to-end models represent relevant tools to explore the probable evolution of fishers’ behaviour and subsequent knock-on effects on ecosystem structure under different fisheries management regimes. A major change in management regime was the landing obligation (LO), made legally binding within the 2013 European Union Common Fisheries Policy, without being fully implemented. In the Eastern English Channel (EEC), the LO is expected to impact fishing effort allocation and discards. A robust evaluation of the medium-term impacts of the LO requires a holistic view of coupled changes in the ecosystem and fisheries. A model, which coupled a fleet-dynamics model and a food web model (Object-oriented Simulator of Marine ecOSystEms), was developed and applied to the EEC socio-ecosystem to explore the ecological and economic effects of the LO on French bottom-trawl fisheries. Results show that the LO would have short-term negative effects on fishers’ revenue, induced by a spatial fishing effort reallocation. By protecting quota-regulated species, fishing activity becomes profitable after 25 years. However, our model shows that the LO would also induce an increase of the predatory pressure by cod and whiting on other species.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".