Methane Oxidation in Freely and Poorly Drained Grassland Soils and Effects of Cattle Urine Application
Bibliographic record
Abstract
A sink for atmospheric methane (CH4) is microbial oxidation in soils. We report CH4 oxidation rates in freely and poorly drained soils on an intensively managed dairy farm. Following cattle urine application to half the plots (650 kg of nitrogen [N] ha(-1)) 31 chamber measurements were made over 100 d during autumn and winter. In the control plots, the freely and poorly drained soils' integrated CH4 oxidation rates averaged 1.8+/-0.2 and 0.6+/-0.1 kg CH4 ha(-1) yr(-1), respectively. In the poorly drained soil, the highest CH4 oxidation rates occurred when water-filled pore space (WFPS)<56% and CH4 oxidation rate declined by ninefold to near zero as WFPS increased from 56 to 68%. Urine application induced the freely and poorly drained soils' CH4 oxidation rates to decline for up to 2 mo by 0.7+/-0.2 and 0.4+/-0.1 kg CH4 ha(-1) yr(-1), respectively. The two soils' responses were thus not significantly different. After urine application, soil pore space CH4 concentration profiles suggested a simultaneous inhibition of bacteria that were CH4 oxidizers and stimulation of CH4 producers.
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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 | 0.000 | 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 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".