© 2003 Kluwer Academic Publishers. Printed in the Netherlands. 419 Ecosystem-scale flux of CO2 from a restored vacuum harvested peatland
Bibliographic record
Abstract
At the ecosystem scale, the water and gas exchange processes are strongly coupled. Drainage and removal of a peatland’s surface vegetation cover for peat harvesting alters its hydrology, and as a direct consequence the carbon budget. Previous studies have measured peatland-atmosphere carbon exchange using the chamber methodology. These studies have indicated that the spatial and temporal variability is large, suggesting the need for continuous ecosystem-scale measurements. This paper presents ecosystem scale measurements of the atmospheric exchange of water and carbon dioxide (CO2) from a restored vacuum-harvested peatland in eastern Québec, Canada, using the eddy correlation measurement approach. Results indicate that the adopted restoration practices reduce the loss of water from the peat. Evapotranspiration from the restored site was 20 and 25 % less than that from an adjacent abandoned comparison site in 2000 and 2001 respectively. However, CO2 emissions remain large during non-snow periods (478 and 468 g C m−2 in 2000 and 2001, respectively). The blockage of drainage ditches and the existence of a mulch cover at the site keep the moisture and thermal conditions more or less constant. Consequently, the CO2 flux, which is predominantly soil respiration, is strongly controlled by peat temperature fluctuations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.657 | 0.580 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".