Arctic char Salvelinus alpinus movement dynamics relative to ice breakup in a high Arctic embayment
Bibliographic record
Abstract
Arctic waters are warming rapidly due to climate change, which is altering the timing of seasonal sea ice dynamics. Summer ice breakup provides a critical productivity bloom that consumers depend on. Arctic char Salvelinus alpinus undertake seasonal migrations to marine waters presumably to exploit this prey pulse. However, specific migratory timing and residency of char relative to breakup is largely unknown. To investigate char movement, individuals were tagged with acoustic transmitters in 2017 (n = 58) and 2018 (n = 52) within Tremblay Sound, Nunavut, Canada, resulting in 625482 detections. Generalized linear models were used to relate multiple movement metrics to ice conditions as well as biological and temporal factors. Char exhibited multiple migratory patterns (chronologies), by which fish either migrated to/from rivers within Tremblay Sound (n = 67), rivers in external systems (n = 35), or a combination of both (n = 8). Fish that migrated exclusively from external systems were longer (~14 cm) than fish exhibiting other chronologies. Migration timing was related to chronology and preempted the specific ice-off date. Fish migrating from rivers within Tremblay Sound entered the marine environment ~7.5 d before the start of ice-off, while external migrants entered ~21 d after ice-off start. Differing migratory chronologies highlight the complexity of char migrations and may indicate the presence of subpopulations or potential ontogenetic shifts in migration behavior. Our study underscores the importance of the brief ice-free season, with potential implications for climate change resilience and management of this important resource in a changing Arctic.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.003 | 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 teacher head, 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".