Geographical and environmental drivers of regional differences in the lake <i>p</i> CO <sub>2</sub> versus DOC relationship across northern landscapes
Bibliographic record
Abstract
Several recent studies have identified dissolved organic carbon (DOC) as playing a key role in determining surface water partial pressure of CO 2 ( p CO 2 ) in northern lakes and, in particular, in shaping the commonly observed patterns of CO 2 supersaturation. The nature of this role is unclear, however, and appears to vary regionally, as evidenced by the contrasting strength and shape of the diverse p CO 2 versus DOC ( p CO 2 ‐DOC) relationships. Here we combine original data on lake p CO 2 from six boreal and temperate regions of Québec (Canada) with 13 studies from northern temperate and boreal aquatic landscapes published in the past 15 years to explore the factors that explain the differences in regional p CO 2 baselines ( p CO 2 at low DOC) and in the slopes of the p CO 2 ‐DOC relationships. Mean elevation was the best predictor of the regional p CO 2 baselines, suggesting that lake position in the landscape determines the contribution of terrestrially derived CO 2 to lake p CO 2 . In contrast, the slope of the p CO 2 ‐DOC relationships was strongly negatively correlated to the mean regional TP:DOC ratio. The relationship between DOC and TP varied at the cross‐regional scale, and there was a large increase in the TP:DOC ratio at TP > 20 μ g L −1 , resulting in negative slopes of the p CO 2 ‐DOC relationships for regions situated in that part of the TP gradient. These results highlight the interplay that exists between geographical gradients, large‐scale biogeochemical patterns in regional lake trophic status, and the associated metabolic balance in determining p CO 2 dynamics 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".