Soil-surface carbon dioxide emission following nitrogen fertilization in corn
Bibliographic record
Abstract
Improvement in use efficiency of N fertilizers can potentially better sustain agriculture by reducing N 2 O emissions from soils, but little is known about its impact on soil CO 2 emissions. A study, involving both a field experiment and a laboratory incubation, was conducted in eastern Canada to determine the N fertilization effect on soil CO 2 emissions. In laboratory, we incubated nine different types of soil with and without 150 kg N ha −1 as KNO 3 or (NH 4 ) 2 SO 4 . The N-fertilized soils had lower CO 2 emissions compared with the no-N control soils for six of them. Among fertilizer sources, emissions of CO 2 were on average 22% lower with KNO 3 than with (NH 4 ) 2 SO 4 . The field experiment conducted on a clay soil included three sources of N (urea-NH 4 NO 3 , CaNH 4 NO 3 , and aqua NH 3 ) at 0–200 kg N ha −1 band-incorporated at the six-leaf corn stage. Under field conditions, most CO 2 was emitted between N application and grain maturity with cumulative seasonal soil emissions greater in the control (4.9 Mg C ha −1 ) than in the N treatments (average of 4.0 ± 0.3 Mg C ha −1 ). Evidence suggested that both heterotrophic and autotrophic respiration seemed affected, whereas the NO 3 -based source had a more depressing effect on CO 2 emissions than did the NH 4 source.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".