Osmoregulation and survival of two mysid species of Tenagomysis in southern estuaries of New Zealand
Bibliographic record
Abstract
The mysid shrimps Tenagomysis chiltoni and T. novaezealandiae are abundant in southern New Zealand estuaries; however, little is known of their osmoregulatory capacity and survival. We investigated their osmoregulation and survival under salinities of 0, 5, 10, 15, 20, 25, 30 and 33 at 5°C and 20°C, to evaluate if the variation in salinity limits their distribution in estuaries. T. chiltoni and T. novaezealandiae maintained species-specific haemolymph concentrations across the salinities tested. According to AIC model selection statistics, for osmoregulatory capacity, the combined effects of salinity and temperature emerged as the most parsimonious. For survival, the non-linear effect of salinity was found as the most supported model given the data. Mortality of T. chiltoni and T. novaezealandiae increased towards the extremes of fresh and salt water but was lower in intermediate salinities (10–25). The ability of these species to osmoregulate and survive were limited at 5°C, but improved at 20°C. Life-history stage was found to be critical for explaining the variations in survival. We concluded that salinity could influence osmoregulation and survival of Tenagomysis spp., and when interacting with temperature and life-history stage, may partly explain why both shrimp species could be found in intermediate salinities and why T. chiltoni is more prevalent in the upper reaches of southern New Zealand estuaries.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".