Nitrous oxide emissions from three temperate forest types in the Qinling Mountains, China
Bibliographic record
Abstract
To understand soil N 2 O fluxes from temperate forests in a climate-sensitive transitional zone, N 2 O emissions from three temperate forest types ( Pinus tabulaeformis , PTT; Pinus armandii , PAT; and Quercus aliena var. acuteserrata , QAT) were monitored using the static closed-chamber method from June 2013 to May 2015 in the Huoditang Forest region of the Qinling Mountains, China. The results showed that these three forest types acted as N 2 O sources, releasing a mean combined level of 1.35 ± 0.56 kg N 2 O ha −1 a −1 , ranging from 0.98 ± 0.37 kg N 2 O ha −1 a −1 in PAT to 1.67 ± 0.41 kg N 2 O ha −1 a −1 in QAT. N 2 O emission fluctuated seasonally, with highest levels during the summer for all three forest types. N 2 O flux had a significantly positive correlation with soil temperature at a depth of 5 cm or in the water-filled pore space, where the correlation was stronger for temperature than for the water-filled pore space. N 2 O flux was positively correlated with available soil nitrogen in QAT and PAT. Our results indicate that N 2 O flux is mainly controlled by soil temperature in the temperate forest in the Qinling Mountains.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".