Nitrous Oxide Emission and Abundance of N-cycling Microorganisms in Corn-based Biofuel Cropping Systems
Bibliographic record
Abstract
Agriculture management including tillage and crop residues impact the functioning of soil microbiota. Soil microbiota cycle nutrients, with greenhouse gases being a byproduct within the cycle. The main objectives of this thesis were to 1) assess tillage and corn residue impact on N-cycling soil microorganisms and N2O emissions in situ (Chapter 3); and 2) evaluate N-cycling soil microorganisms in situ relative to N2O flux during a spring thaw cycle (Chapter 4). In situ sampling addresses how changing field conditions influence soil bacterial processes. \nResults indicated tillage and removal of corn residue declined soil microbial abundance and increased N2O emissions. These responses were dependent on local environmental conditions; moisture, carbon and nitrogen availability. The spring thaw study highlighted N-cycling microorganisms were present and active over the spring thaw event, and delayed nosZ denitrifier activity was related to the timing of significant N2O emission events, suggesting new evidence of de novo denitrification.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".