<i>Acartia arbruta</i> (previously <i>A. tonsa</i>) in British Columbia: a bioindicator of climate-driven ecosystem variability in the northeast Pacific Ocean
Bibliographic record
Abstract
Abstract Climate change is driving biogeographic shifts in marine zooplankton. In the northeast (NE) Pacific, the distribution of the estuarine copepod, Acartia tonsa ( Dana, 1849), is generally limited to California except during marine warming events where it is found as far north as British Columbia (BC). Documentation of such events relies on accurate species identification. Phylogenetic reconstruction of the genus Acartia using 768 mitochondrial cytochrome oxidase subunit I Deoxyribonucleic Acid (DNA) sequences collected worldwide demonstrates that NE Pacific A. tonsa is distinct from all conspecifics and congeners. Males of NE Pacific A. tonsa are larger with slight differences in the fifth pair of legs as compared to geographically isolated conspecifics. Accordingly, we propose NE Pacific A. tonsa be reclassified to Acartia arbruta. Analysis of mitochondrial 16S ribosomal RNA DNA sequences from 154 specimens of A. arbruta collected from California, Oregon and BC suggests that A. arbruta detected in BC is a mixture of southern populations. Southern populations are likely driven north during “warm” phases of the oceanographic processes indexed by the Pacific Decadal Oscillation, which is positively correlated with A. arbruta biomass anomalies on the continental shelf of Vancouver Island, BC. The presence of A. arbruta in BC waters is a useful bioindicator of marine warming events.
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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 | 0.002 |
| 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".