Temperature and Salinity Effects on Survival and Growth of Early Life Stage Shubenacadie River Striped Bass
Bibliographic record
Abstract
Abstract A series of short, laboratory‐based trials was conducted on striped bass Morone saxatilis from the Shubenacadie River, Nova Scotia, Canada, starting with wild‐caught eggs and proceeding through to the early juvenile stage. The levels of the experimental factors—salinity (0–35‰) and temperature (10–30°C)—spanned the range occurring in the natal estuary. Survival of eggs to 1 d posthatch (dph) was highest, more than 60%, between 2‰ and 20‰ salinity and was reduced significantly (to <50%) only in salinities of 30‰ or greater. Similarly, survival of prefeeding larvae was reduced only at salinities above 30‰, suggesting that their salinity tolerance is higher than that of U.S. populations. Moreover, 1–7‐dph larvae were tolerant to temperature decreases that are lethal to other populations, with around 40% surviving between 10°C and 14°C at intermediate salinities. Older, 23‐dph larvae were less tolerant to cold, with fewer than 20% surviving 7 d at 10°C, but these larvae thrived at high temperature, exhibiting highest survival and growth at 26°C across salinities from 1‰ to 35‰. Growth of early juvenile stages (55–104 dph) was independent of salinity (1–30‰) and was highest between 26°C and 30°C, suggesting a temperature optimum similar to that of U.S. populations.
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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".