Movement Patterns of Atlantic Tarpon (Megalops atlanticus) in Brewers Bay, St. Thomas US Virgin Islands
Bibliographic record
Abstract
Abstract Background Atlantic tarpon (Megalops atlanticus) are highly migratory species ranging along continental and insular coastlines of the Atlantic Ocean. Despite broad geographic distribution and importance as recreational fisheries, little is known about space-use patterns of tarpon within the Eastern Caribbean. Acoustic telemetry was used to track tarpon (n=14, 61- 95cm-FL) from September 2015 to February 2018 in St. Thomas, U.S. Virgin Islands to understand horizontal and vertical movements during diel, crepuscular and seasonal periods and under different environmental conditions. ResultsEight tarpon were transient while four had >80% residency and average activity space of 0.76 km2 (range = 0.075-1.174 km2) within a small (~1.8km2) bay. Tarpon occurred in <18 m depth with occasional movements to deeper water, including during hurricanes. Activity was greater during day compared to night, with peaks during crepuscular periods. During the day tarpon primarily utilized the waters along the St. Thomas airport and at night tarpon typically remained in a small shallow lagoon. However, when temperatures in the lagoon exceeded 30 °C, tarpon moved to cooler, deeper waters outside the lagoon. ConclusionThis study showed distinct and mostly non-overlapping home ranges except when seasonally abundant food sources were present and provided a unique perspective on the effects of extreme environmental conditions on tarpon movement and habitat use. These metrics are useful for management of tarpon, particularly under changing climatic conditions.
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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 | 0.001 | 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".