Latent stress response in translocated eastern oysters (<i>Crassostrea virginica</i>) in the Gulf of St. Lawrence
Bibliographic record
Abstract
Movement of animals between habitats, whether natural or human-driven, can expose them to environmental stressors that impact their physiology and survival. In aquaculture, understanding these stress responses is critical to improving production practices. The cultivation of eastern oysters ( Crassostrea virginica (Gmelin, 1791)) in Atlantic Canada depends largely on stock transfers from natural collection sites to grow-out sites. However, significant mortality has been reported in the year following translocation. We investigated stress factors associated with oyster transfers from New Brunswick to the Magdalen Islands. Mortality was assessed in relation to transport conditions and physiological indicators (gaping behavior, condition index, and energy reserves). We found no direct effect of transport conditions on post-transfer mortality. However, oysters transported in June without temperature control experienced ∼50% winter mortality and consistently low glycogen levels (<27 mg.g−1 dry tissue), suggesting a link between low energy reserves and latent mortality. Condition index showed a decline in oyster health over time in this group. Behavioural assessments demonstrated comparable gaping activity across all groups immediately after transfer, reinforcing the hypothesis that transport-induced stress manifests as a delayed response rather than immediate mortality. These results emphasise the importance of the oysters’ physiological state during transfer for their survival in the Gulf of St. Lawrence. Maintaining glycogen reserves above 27 mg.g−1 and a condition index above 5 may be crucial for overwintering success.
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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) | 0.000 | 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".