Long-term trends in acid-sensitive plankton in the Northwest Atlantic: Indicators of change in ocean acidification?
Bibliographic record
Abstract
Studies investigating the impact of increasing ocean acidification on primary producers have been largely speculative and based on short-term experimental results. Few long-term studies are available to assess the rate of change in ocean acidity versus change in plankton populations. We utilize long-term observations and historical data based on a network of sites from the northwest Pacific, Arctic, and northwest Atlantic conducted by Fisheries and Oceans Canada to assess temporal change in ocean pH levels. We utilize both recent and long-term plankton data based on an ocean monitoring program initiated in the late 1990's and derived from the Continuous Plankton Recorder (CPR) Survey in the northwest Atlantic to assess interannual and decadal changes in acid-sensitive taxa back to the 1960's. We discuss these findings in light of the major uncertainties surrounding ocean acidification and how they will impact plankton in the marine ecosystem.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".