Nitrous Oxide Fluxes in Permafrost Peatlands Remain Negligible After Wildfire and Thermokarst Disturbance
Bibliographic record
Abstract
Abstract The greenhouse gas (GHG) balance of boreal peatlands in permafrost regions will be affected by climate change through disturbances such as permafrost thaw and wildfire. Although the future GHG balance of boreal peatlands including ponds is dominated by the exchange of both carbon dioxide (CO 2 ) and methane (CH 4 ), disturbance impacts on fluxes of the potent GHG nitrous oxide (N 2 O) could contribute to shifts in the net radiative balance. Here, we measured monthly (April to October) fluxes of N 2 O, CH 4 , and CO 2 from three sites located across the sporadic and discontinuous permafrost zones of western Canada. Undisturbed permafrost peat plateaus acted as N 2 O sinks (−0.025 mg N 2 O m −2 d −1 ), but N 2 O uptake was lower from burned plateaus (−0.003 mg N 2 O m −2 d −1 ) and higher following permafrost thaw in the thermokarst bogs (−0.054 mg N 2 O m −2 d −1 ). The thermokarst bogs had below‐ambient N 2 O soil gas concentrations, suggesting that denitrification consumed atmospheric N 2 O during reduction to dinitrogen. Atmospheric uptake of N 2 O in peat plateaus and thermokarst bogs increased with soil temperature and soil moisture, suggesting sensitivity of N 2 O consumption to further climate change. Four of five peatland ponds acted as N 2 O sinks (−0.018 mg N 2 O m −2 d −1 ), with no influence of thermokarst expansion. One pond with high nitrate concentrations had high N 2 O emissions (0.30 mg N 2 O m −2 d −1 ). Overall, our study suggests that the future net radiative balance of boreal peatlands will be dominated by impacts of wildfire and permafrost thaw on CH 4 and CO 2 fluxes, while the influence from N 2 O is minor.
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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 | 0.000 | 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 | 0.001 | 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 source (direct Gemma or distilled Codex), 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".