GREENHOUSE GAS EMISSIONS IN PERENNIAL BIOENERGY CROPS ON MARGINAL LAND IN SOUTHERN ONTARIO
Bibliographic record
Abstract
Knowledge of soil nitrous oxide (N2O) and carbon dioxide (CO2) fluxes in unfertilized perennial bioenergy crops on marginally productive cropland is crucial to understanding their climate mitigation benefits through reduced greenhouse gas (GHG) emissions. The static chamber method was used to quantify and compare N2O and CO2 fluxes in miscanthus (Miscanthus giganteus L.), switchgrass (Panicum virgatum L.), and willow (Salix miyabeana L.) to a successional site over two growing seasons. Mean N2O and CO2 fluxes ranged from –0.02 to 0.09 µg N2O-N m–2 hr–1 and 0.01 to 0.27 mg CO2-C m–2 hr–1, respectively. Whereas mean CO₂ fluxes differed (p<0.05) among land use types and between growing seasons, mean N₂O fluxes did not differ (p≥0.166) among land use types or between growing seasons. Our findings suggest that N₂O fluxes from unfertilized perennial bioenergy crops such as miscanthus, switchgrass, and willow on marginally productive croplands are comparable to those from marginal croplands left to undergo natural succession with regrowth vegetation. This alleviates concerns that cultivating perennial bioenergy crops on marginal croplands could increase GHG emissions, particularly when fertilization is minimized or eliminated, if these results hold true on a global scale. Additionally, variations in soil available nitrogen (N), moisture, and temperature did not correspond with differences in mean CO₂ fluxes during both growing seasons. This suggests that root respiration accounted for most of the CO₂ fluxes, rather than microbial soil respiration.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".