Zooplankton community variability on the Scotian Shelf, northwest Atlantic
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author. Marine zooplankton populations and communities are influenced by changes in local environmental conditions and ocean circulation. To provide information on how interannual changes in the pelagic environment and larger scale changes in circulation influence zooplankton communities of the Scotian Shelf, in the Canadian northwest Atlantic, multivariate analyses were used to evaluate mesozooplankton species associations and large‐scale spatial patterns in zooplankton communities at both the Scotian Shelf scale and the larger Atlantic Canadian shelf scale. Depth and temperature associations were dominant factors structuring Atlantic Canadian shelf communities. Scotian Shelf species groups could be categorized as dominant shelf species, warm shelf species, Arctic Calanus species, and warm and cold offshore species. The abundance of immigrant groups, Arctic Calanus and warm offshore species, were strongly correlated with variability in temperature, while dynamics of the dominant species were more complex. While there is substantial uncertainty about how conditions on the Scotian Shelf will change in the future, the influence of the subtropical gyre may become greater, and it is likely that temperature will increase, salinity will decrease, and stratification will increase. Information on large‐scale zooplankton community patterns can provide insight into how species ranges and communities may change in the future.
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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 | 0.001 |
| 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) | 0.004 | 0.001 |
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".