Wetland drainage produces substantial greenhouse gas emissions in the Canadian Prairie Pothole Region
Bibliographic record
Abstract
The Prairie Pothole Region of central North America is dominated by agriculture and contains numerous small mineral-soil wetlands that are often drained to expand cropland. Here, we synthesize the available data to estimate the net effect of ongoing wetland drainage on Canada’s agricultural greenhouse gas (GHG) budget. We quantified six terms: wetland area drained; carbon released from wetland soils after drainage; avoided GHG emissions from intact wetlands; GHG associated with farming the former wetland area; carbon loss from woody biomass removal; and GHG reductions from decreased double-fertilization. Our analysis found that 2.1 (range: −4.0 to 8.0) Tg CO 2 -eq (>5% of agricultural emissions in this region) are released from 1 year’s worth of prairie wetland drainage, and this is dominated by CO 2 -eq lost through exposure of wetland sediment. Our third term, intact wetland GHG emissions, represents natural sources, not anthropogenic; excluding it from calculations increased regional estimates to 3.4 Tg CO 2 -eq year − 1 . Other land-use changes associated with wetland drainage did not appreciably offset GHG emissions from wetland carbon loss. GHGs from mineral-soil wetland loss are not currently included in Canada’s National Inventory Report—incorporation of these emissions would necessitate substantial reductions in emission from other agricultural activities to achieve overall emissions reduction targets.
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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".