Changes in the zooplankton community of the British Columbia continental margin, 1985-1999, and their covariation with oceanographic conditions
Bibliographic record
Abstract
A 15-year zooplankton time series collected off southern Vancouver Island (4849°N) shows large interannual anomalies of biomass for most major zooplankton species. Variations within groups of ecologically similar species have been more extreme (often 10-fold or greater) than the variation in total biomass (four- to six-fold). For both total biomass and species groups, the zooplankton anomalies develop and persist over time spans of several years and are correlated across a large spatial scale (>100 km longshore). One dominant mode of recent zooplankton variation was a 19901998 cumulative shift to a more "southerly" copepod and chaetognath fauna: order-of-magnitude declines in several species endemic to the Northeast Pacific continental shelf and order-of-magnitude increases of species endemic to the California Current (3545°N). This trend abruptly reversed in 1999. A second major mode of zooplankton variability consisted of roughly mirror-image fluctuations in the abundance of euphausiids versus subarctic oceanic copepods. Zooplankton anomalies were correlated with year-to-year changes in several physical environmental indices. The patterns of covariance suggest that zooplankton community composition responds strongly to ocean climate fluctuations and in particular to changing current patterns.
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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 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".