Trans-Atlantic movements of Atlantic white-sided dolphins, Leucopleurus acutus
Bibliographic record
Abstract
Atlantic white-sided dolphins are wide-ranging and abundant cetaceans of the North Atlantic, yet their movements remain poorly understood. Using satellite telemetry, we tracked 23 dolphins tagged in the Faroe Islands to investigate their movement patterns, habitat use, and diving behavior. Our findings confirm a strong association with the shelf edge and identify the Irminger Sea and the Faroe-Shetland Channel as important regions. The observed movements align with oceanographic features that enhance productivity and prey availability, including strong mixing zones and the Irminger Gyre with deep mixed layers. Three dolphins independently undertook trans-Atlantic migrations to the Irminger Sea, where two remained for extended periods (26 and 63 days). Together with dive records and lower move persistence, this suggests that the Irminger Sea functions as an important autumn feeding ground. Dive data (n = 4) revealed a wide depth range (3–616 m) and diel diving patterns consistent with exploitation of vertically migrating mesopelagic prey. Identifying critical habitats and understanding trans-Atlantic connectivity are essential for effective conservation and management of this species, particularly given ongoing environmental changes in the North Atlantic. The post-release separation of tagged dolphins reflects their fluid social structure, suggesting a panmictic stock in the central and eastern North Atlantic. The study highlights the value of movement data for understanding habitat use, distribution, effect of ocean dynamics, and population structure in pelagic predators.
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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 | 0.000 | 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".