Nitrous oxide emission rates and abundances of nitrogen-cycling genes in soils of willow trees inoculated with mycorrhizal fungi
Bibliographic record
Abstract
A greenhouse experiment was designed to explore the effects of mycorrhizal inoculation on native abundances of N-cycling microbial communities and N2O emission rates. Six different soil types were examined as a medium for growing willow ('Salix spp.') trees, which were inoculated with arbuscular mycorrhizae (AM), ectomycorrhizae (EM), AM + EM, or neither. Nitrogen-cycling gene abundances were found to be significantly different between soil types and influenced by rhizosphere presence but not inoculation. While inoculation effects were seen in one clay soil's NO 3-, NH4+, and N2O measurements, this was not reflected in gene abundance. Principal component analysis on environmental variables and gene abundances indicated correlations, though the nature of the relationship depended on the soil type and was largely texturally-driven. Strong evidence for primarily nitrifier-driven N2 O emissions was found in bulk soil. This research broadens the understanding of mycorrhizal-bacterial interactions and their effects on N-cycling in different soil ecosystems.
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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".