Simulating ecosystem carbon dioxide fluxes and their associated influencing factors for a restored peatland
Bibliographic record
Abstract
Abstract. Restoration of drained and extracted peatlands can potentially return them to carbon dioxide (CO2) sinks, thus acting as significant climate change mitigation. However, whether the restored sites will remain sinks or switch to sources with a changing climate is unknown. Therefore, we adapted the CoupModel to simulate ecosystem CO2 fluxes and the associated influencing factors of a restored bog. The study site was a peatland in eastern Canada that was extracted for 8 years and left for 20 years before restoration. The model outputs were first evaluated against 3 years (representing 14–16 years post-restoration) of eddy covariance measurements of net ecosystem exchange (NEE), surface energy fluxes, soil temperature profiles, and water table depth data. A sensitivity analysis was conducted to evaluate the response of the simulated CO2 fluxes to the thickness of the newly grown mosses. The validated model was then used to assess the sensitivity to changes in climate forcing. The CoupModel reproduced the measured surface energy fluxes and showed high agreement with the observed soil temperature, water table depth, and NEE data. The simulated NEE varied slightly when changing the thickness of newly grown mosses and acrotelm from 0.2 to 0.4 m but showed significantly less uptake for a 1 m thickness. The simulated NEE was -95±19gCm-2yr-1 over the 3 evaluation years and -101±64gCm-2yr-1, ranging from −219 to +54gCm-2yr-1, with extended 28-year climate data. After 14 years of restoration, the peatland has a mean CO2 uptake rate similar to pristine sites but with a much larger interannual variability, and in dry years, the restored peatland can switch back to a temporary CO2 source. The model predicts a moderate reduction in CO2 uptake but still a reasonable sink under future climate change conditions if the peatland is ecologically and hydrologically restored. The ability of the CoupModel to simulate the CO2 dynamics and its thermo-hydro-drivers for restored peatlands has important implications for emission accounting and climate-smart management of drained peatlands.
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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".