Bibliographic record
Abstract
Peatland drainage and peat extraction changes natural peatlands from a net carbon sink to that of a large net source due to increased respiration and the removal of carbon dioxide (CO 2 ) fixing vegetation. Restoration of these altered peatland ecosystems is being applied to reduce these carbon emissions. As peatland restoration is a new and emerging land‐use management practice, the purpose of this research was to examine the impact of restoration on the methane (CH 4 ) component of the carbon cycle at the Bois‐des‐Bel peatland located near Rivière‐du‐Loup, Québec from early May to mid October for several years. The seasonal CH 4 fluxes prior to restoration at an extracted (cutover) and a restored peatland were not significantly different from each other or zero. However, three years postrestoration the seasonal CH 4 emissions at the restored site were 4.2 g m −2 CH 4 season −1 , 4.6 times greater than the cutover site. Ponds and ditches at the restored site were seasonal CH 4 emission hot spots (0.3 and 2.9 g m −2 CH 4 season −1 , respectively); however, emissions from herbaceous vegetation (1.0 g m −2 CH 4 season −1 ) were the dominant source of CH 4 from the restored peatland due to its large areal extent. CH 4 fluxes from the Bois‐des‐Bel peatland represented 14% of the total CO 2 ‐equivalent losses from the site. This study demonstrates the importance of vegetation succession on peatland‐atmosphere flux of CH 4 .
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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 | 0.002 | 0.001 |
| 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) | 0.001 | 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".