Aquatic metabolism after impoundment of a low productivity boreal reservoir using free water oxygen
Bibliographic record
Abstract
Inland waterbodies play a significant role in the global cycling of greenhouse gases. Impoundment of rivers changes their greenhouse gas dynamics and leads to a pulse of emissions, primarily due to the respiration of introduced organic matter. Aquatic metabolism estimates using free water oxygen curves were calculated at 5 sites on the lower Nelson River, Manitoba, Canada, in 2021 to assess immediate conditions after impounding a hydroelectric reservoir at the Keeyask Generating Station. Net ecosystem production varied significantly across the study area (P < 0.001), with the most heterotrophic sites found in the reservoir. More specifically, ecosystem respiration (R) and gross primary production rates varied significantly (P < 0.001) within the reservoir itself. The greatest R (mean [standard deviation]) was observed in a former tributary inflow (−1.94 [1.03] g C m−2 d−1) and then in the forebay (−1.06 [0.74] g C m−2 d−1), an order of magnitude greater than the upstream extent of the reservoir area (−0.13 [0.29] g C m−2 d−1). Benthic and pelagic R had greater relative importance in the former tributary inflow and the forebay, respectively. Loading of organic matter seemed to vary across the reservoir, and evidence suggests it was a key factor regulating R. Light limitation seemed prevalent throughout the study area, consistent with previous studies in the region. The results presented here update understanding of aquatic metabolism in a region characterized by hydroelectric development.
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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 | 0.000 | 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 | 0.000 |
| 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".