Ecosystem scale evapotranspiration and CO<sub>2</sub> exchange in burned and unburned peatlands: Implications for the ecohydrological resilience of carbon stocks to wildfire
Bibliographic record
Abstract
Abstract Boreal peatlands represent a significant global store of soil carbon, which are subject to increasing natural and anthropogenic disturbance. Wildfire is the single largest disturbance to boreal forest and wetlands annually. Critical to the long‐term carbon storage function in peatlands is the (re‐)establishment of a near‐surface water table following wildfire. This has been recently shown to in part be facilitated by post‐fire reductions in water losses via evapotranspiration (ET). However, reduced ET may also have cascade impacts on other ecohydrological processes in recovering peatlands, such as a reduction in carbon sequestration. To investigate the linked cycles of evaporative loss and carbon exchange in burned peatlands, the burned and unburned peatlands in Alberta, Canada, were instrumented with eddy covariance systems to monitor continuous fluxes of energy, carbon dioxide, and water vapour, over two summer seasons (2013 and 2014; 2–3 years post‐burn). The burned site showed significant changes to respiration and productivity and a shift in the partitioning of available energy (significantly larger Bowen ratio; mean values of 1.19 and 1.10 at the burned and unburned sites, respectively), as well as a significant reduction in ET rates. Decreases in respiration did not offset the decrease in primary productivity, and the burned site was significantly less productive than the reference site on a net production basis for the available data period. This provides direct observations of ET and CO 2 fluxes at a novel ecosystem scale to show the impacts of fire on short‐term (2–3 years) post‐burn ecosystem ecohydrological function.
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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 | 0.001 | 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".