A Decade of Post‐Fire Succession Amplifies the Effect of Wildfire on the Surface Radiation Balance and Permafrost Thaw in Subarctic Peatlands
Bibliographic record
Abstract
ABSTRACT Increasing wildfire activity is driving permafrost thaw in subarctic peatlands across the southern Northwest Territories, but the key mechanisms and progression of thaw following fire remain poorly understood. In response, 10 years (2015–2024) of near‐continuous surface (four‐component radiation, wind, and snow) and subsurface measurements (temperature, moisture, and frost tables) were examined from a burned and unburned permafrost peatland in the southern Taiga Plains ecoregion. A low‐severity wildfire in 2014 burned a portion of a peat plateau with stunted black spruce, which led to full tree mortality but left most dead trees standing. Results indicated that wildfire increased the rate of permafrost thaw (4 cm year −1 higher on average), smoothed the permafrost table topography, and led to 100% talik extent (perennially unfrozen layer above permafrost) within 8 years following the fire. Post‐fire succession during the first decade, including the gradual toppling of dead burnt trees, ultimately amplified the energy available for ground heating and permafrost thaw. In contrast, the immediate reduction in albedo and snowpack alterations following fire had either only short‐term effects or even cooling effects. This study demonstrated that summertime processes outweighed wintertime processes in driving permafrost thaw, suggesting the effects of wildfire may intensify in the future as winters shorten under current climate warming projections. Considering millions of hectares in the Northwest Territories have recently burned, findings from this study directly support projections of permafrost thaw and resulting land cover changes driven by regional wildfire disturbance coupled with ongoing climate warming.
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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".