Regional wildfire smoke reduces boreal forest carbon uptake
Bibliographic record
Abstract
Abstract While many studies have examined carbon dynamics of boreal ecosystems following wildfire, research on forest-atmosphere carbon fluxes during widespread smoke events from adjacent active wildfires is limited. We examined eddy covariance carbon exchange adjacent to the May 2011 Utikuma Complex wildfire in central Alberta, Canada. Over a one-week period while the wildfire was burning <10 km from the flux footprint of the tower, net ecosystem CO 2 exchange decreased to almost zero, likely due to smoke-related reductions in photosynthetically active radiation greatly diminishing photosynthesis. The smoke event caused a direct reduction in forest CO 2 sequestration by 0.7 Tg CO 2 during the fire period. As the smoke affected area was 120 times greater than the burnt area itself, this additional carbon reduction was equivalent to ~30% of gross carbon emissions from the fire. We argue that smoke-related inhibition of photosynthesis via reduced light availability should be considered when investigating the net impacts of high-intensity boreal wildfires on the net radiative forcing and global carbon balance.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".