Movement ecology of postspawning Alewife
Bibliographic record
Abstract
ABSTRACT Objective Alewives Alosa pseudoharengus are a culturally, ecologically, and economically important anadromous fish in the northwest Atlantic, yet their movement ecology remains poorly understood. This study was designed to examine mortality events and movement patterns of Alewives, including diel vertical migrations. Methods Using acoustic telemetry, we tagged 32 Alewives during their postspawning migrations through Passamaquoddy Bay (New Brunswick, Canada, and Maine, USA) toward the Bay of Fundy. Generalized additive models (GAMs) were used to examine the spatial distribution and timing of Alewife migrations through the bay. We also used GAMs to investigate occurrences of diel vertical migration in relation to tidal levels. Results Six of the tagged Alewives died during the study, with most mortalities occurring earlier in their migration within the river and estuary habitats, including four cases of endothermic predation: three in the estuary and one in the inner bay. Alewives were predicted to occupy three distinct spatial hot spots over time: the river and estuary during weeks 25–27, the inner bay during weeks 28–30, and the outer bay during weeks 31–32. Regardless of tidal height, the GAMs predicted that Alewives were deeper in the water column during the day (1200–2000 hours) and shallower at night (0200–0700 hours), with intermediate periods used to transition between these depths, indicating that Alewives undertook diel vertical migrations in the marine environment. Conclusions As Alewife populations continue to decline, this research highlights critical aspects of their postspawning movement ecology and underscores the importance of binational and multijurisdictional cooperation in the effective management of this species.
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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 | 0.001 | 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".