Migratory behaviour of brook charr (Salvelinus fontinalis) in Gros Morne National Park, Newfoundland, and the potential for co-management of the recreational fishery
Bibliographic record
Abstract
Charr (Salvelinus spp.) exhibit a variety of migration strategies, whereby some individuals venture to sea (anadromous) while others spend the entirety of their lives in freshwater (residents). The anadromous individuals are of particular interest as their behaviours may shape life history and affect population dynamics through increased \nexposure to fishery exploitation. Here, I explore the migratory behaviour at sea of brook charr (S. fontinalis) from two distinct populations in Gros Morne National Park (GMNP), Newfoundland; one where the river enters a protected fjord and the other, open ocean. An interdisciplinary approach is used, integrating acoustic telemetry, otolith \nmicrochemistry, and fishermen surveys to quantify and contrast migratory behaviours, and to characterize the recreational fishery. Acoustic telemetry of 17 brook charr from one population (in the Bonne Bay fjord), and otolith microchemistry from two populations (Bonne Bay fjord, where N=23, and Western Brook, where N=82) show age and habitat specific movements of brook charr. Brook charr make their first seaward migration at age 2+, often with previous movements to brackish environment between ages 1-2. At sea, charr frequent areas close to river mouths during the beginning and end of migratory period, venturing further away during the mid period of their marine residency. Results indicate that estuarine habitat may be important to anadromous individuals. After first seaward migration at 2+, there was no significant age-specific pattern for subsequent migrations. Fishermen surveys from two charr fisheries in western Newfoundland (the brook charr fishery of GMNP, and the Arctic charr [S.alpinus]) fishery of Pistolet Bay) provided some evidence that sea-run charr are at increased risk of fisheries interactions. Surveys revealed the usefulness of fishermen’s knowledge to managers, especially to rural communities where local fishermen are the primary \nresource user and have historical knowledge of the fishery. In both cases, fishermen identified decreases in stock health, but where fishermen were more engaged, in Pistolet \nBay, resource users supported increased management efforts to improve stock health. By comparing the GMNP fishery with the Pistolet Bay fishery, I emphasized the effectiveness of fishermen engagement in management regimes and highlight \nopportunities for comanagement in recreational fisheries to protect stock health where necessary. My results provide insight into the complexity of migratory strategies \nexhibited by charr species and the opportunities in management of charr recreational fisheries.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".