Beyond the hook: do angler-fish interactions in a catch-and-release recreational fishery modify fish space use and catchability?
Bibliographic record
Abstract
By combining acoustic telemetry, mark-and-recapture, and location-specific catch logs, we tested whether angler-fish interactions altered the behavior, space use, and catchability of giant trevally ( Caranx ignobilis) (GT) in coastal waters of the Alphonse Island Group, Seychelles, Indian Ocean. Adult GT near a high human use area with limited provisioning showed restricted movements during the tourism fishing season and had home ranges nearly 50% smaller than that of adult GT from other parts of the atoll group. Despite angler catch maps overlapping with 30% of non-habituated adult GT core use areas, recaptures were infrequent, suggesting that GT became hook shy. Although there was no change in movement patterns during a temporary fishing closure caused by COVID-19, non-habituated GT movement patterns shifted toward wider ranging movements with each successive fishing season, potentially to avoid shallow water areas where angler activities occurred. Our findings highlight how angler interactions and catch-and-release fisheries have the potential to modify the behavior, space use, and catchability of targeted species, and may influence the viability of the fishery by exceeding its capacity.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".