Surface water <scp>CO</scp><sub>2</sub> concentration influences phytoplankton production but not community composition across boreal lakes
Bibliographic record
Abstract
Abstract Recent experimental evidence suggests that changes in the partial pressure of CO 2 ( pCO 2 ), in concert with nutrient fertilisation, may result in increased primary production and shifted phytoplankton community composition that favours species lacking adaptations to low CO 2 environments. It is not clear whether these results apply in ambient freshwaters, which are already often supersaturated in CO 2 , and where phytoplankton structure and activity are under complex control of diverse local and regional factors. Here, we use a large‐scale comparative study of 69 boreal lakes to explore the influence of existing CO 2 gradients ( c . 50–2300 μatm) on phytoplankton community composition and biomass production. While community composition did not respond to pCO 2 gradients, gross primary production was enhanced, but only in lakes already supersaturated in CO 2 , demonstrating that environmental context is key in determining pCO 2 –phytoplankton interactions. We further argue that increased atmospheric CO 2 is unlikely to influence phytoplanktonic composition and production in northern lakes.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".