Egg production and hatching success of Temora longicornis (Copepoda, Calanoida) in the southern Gulf of St. Lawrence
Bibliographic record
Abstract
Egg production rate (EPR) and subsequent egg-hatching success of Temora longicornis from the southern Gulf of St. Lawrence were measured in the laboratory and at sea during 2 cruises in late June and early July of 2000 and 2001.A quantitative, functional Ivlev relationship between EPR, food concentration (µg C l -1 ) and temperature was fit to the laboratory results.This relationship can serve as a template for expressing environmental control of T. longicornis egg production in models of the species population dynamics.Among the findings was a very low EPR at high temperature (18°C) when food was limiting (< 200 µg C l -1 ).The EPR of T. longicornis in the southern Gulf of St. Lawrence in early summer varied as a function of chlorophyll a concentration (integrated 0 to 50 m), and corresponded well with the functional laboratory relationship using a carbon/chlorophyll a conversion factor of 80. Mean hatching success in the laboratory was 42.8% for experimental temperatures <14°C, but declined dramatically to 7.5% at temperatures over 14°C.No relationship between hatching success and food concentration was observed.In the southern Gulf of St. Lawrence in late June, hatching success varied between 0 and 56% for mean temperatures between 3.3 and 10.9°C (median 6.6°C).While the presence of resting eggs at this time of year is the most probable explanation of our observations of low hatching success, other factors that may inhibit egg hatching, including methodology, insufficient fertilization and food quality, may also be implicated.We conclude that for T. longicornis, EPR is food-limited in early summer in this region.Comparison with other studies indicated that environmental controls on fecundity of T. longicornis may differ among regions where this species is the dominant copepod.
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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".