Atmospheric impact of nitrous oxide uptake by boreal forest soils can be comparable to that of methane uptake
Bibliographic record
Abstract
Abstract Aims Environmental factors controlling nitrous oxide (N 2 O) uptake in forest soils are poorly known, and the atmospheric impact of the forest N 2 O sink is not well constrained compared to that of methane (CH 4 ). Methods We compared nitrous oxide (N 2 O) and CH 4 fluxes over two growing seasons in boreal forest soils located in Eastern Finland. Within a spruce forest, we compared plots with long-term nitrogen (N) fertilization history and non-fertilized plots, and additionally pine forest plots without a fertilization history. The flux data was complemented with measurements of climatic conditions and soil physical and chemical characteristics, in order to identify factors affecting N 2 O and CH 4 fluxes. Results Non-fertilized spruce forest soils showed the highest cumulative N 2 O uptake among the sites, whereas the pine forest site displayed low cumulative N 2 O emission. Nitrous oxide uptake was favored by high soil silt and water content. The low temperature seasons, spring and autumn, had the highest N 2 O uptake, likely associated with high soil water content typical for these seasons. In the spruce forest the N 2 O uptake was seasonally decoupled from the CH 4 uptake. Conclusions Applying the Global Warming Potential (GWP) approach, the cooling effect of N 2 O uptake in the spruce forest was on average 35% of that of CH 4 uptake showing that N 2 O uptake should be considered when evaluating the atmospheric impact of boreal forests.
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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".