Mortality and recruitment in two copepod populations in a subarctic oligotrophic reservoir and the influence of environmental forcing
Bibliographic record
Abstract
We describe the stage-specific mortality, survival and recruitment patterns for a cyclopoid and a calanoid copepod through the use of vertical life table analysis. Over a 2-year period in Lake Saint-Jean, Québec, Canada, we show that during the growing season, Diacyclops bicuspidatus thomasi (May–June) had its highest daily mortality rate during metamorphosis (N6–C1), while Leptodiaptomus ashlandi (June–August) had its highest daily mortality rates during the naupliar stages. Patterns in daily recruitment rates differed between the species with the early stages of L. ashlandi experiencing a greater population loss during the growing season. Recruitment of D. bicuspidatus thomasi was controlled by reproduction, while recruitment of L. ashlandi was governed by reproduction and mortality/survival although also influenced by seasonal patterns of phytoplankton biomass. A multiple regression model suggested that cannibalism influenced the mortality of the early stages of D. bicuspidatus thomasi during their growing season. Temperature, competition and cannibalism influenced the mortality of the early stages of L. ashlandi. However, there are interannual differences likely due to interannual difference in seasonal patterns of phytoplankton biomass. Our study emphasizes the importance of interactions between bottom-up and top-down controls governing copepod population dynamics.
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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 | 0.001 |
| 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".