Effects of temperature and circulation on the population dynamics of <i>Calanus finmarchicus</i> in the Gulf of St. Lawrence and Scotian Shelf: Study with a coupled, three‐dimensional hydrodynamic, stage‐based life history model
Bibliographic record
Abstract
We developed a physical‐biological model for the Gulf of St. Lawrence (GSL) and Scotian Shelf (SS) by coupling a stage‐based life‐history model of the planktonic copepod Calanus finmarchicus to a three‐dimensional ocean circulation model. The life‐history model consists of 13 morphologically distinct life stages of C. finmarchicus, with stage‐specific and temperature‐dependent molting rates. The model also includes stage‐specific vertical distribution and seasonally varying diapause, egg production, and stage‐specific mortality rates. The model domain covers the eastern Canadian shelf from 55°W to 72°W and from 39°N to 52°N, including the Gulf of St. Lawrence, Scotian Shelf, and Gulf of Maine. A comparison of a 1‐year simulation with observations indicates that the physical‐biological model reasonably describes the observed abundance and distribution of C. finmarchicus in this region. To determine the effects of ocean circulation in the C. finmarchicus population dynamics, we divided the GSL‐SS region into eight sub‐areas and compared the net fluxes of C. finmarchicus across lateral boundaries to the net production in each sub‐area. We found that the annual cross‐boundary exchange rates constitute from <1% to 39% of the local net production, indicating that the horizontal transport of C. finmarchicus by the ocean currents can play a very important role in the dynamics of local C. finmarchicus populations. The results provide insights into the mechanisms of exchange in the GSL‐SS system, as put forward in recent hypotheses.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".