Long-Term Effects of Burning Festuca and Stipa-Agropyron Grasslands
Bibliographic record
Abstract
The effects of early spring burning on current year standing crop, litter, and total standing crop (current year standing crop plus litter) were examined in Festuca- and Stipa-Agropyron-dominated communities in central Saskatchewan over an 11-year period in a paired design with burned sites compared to adjacent control sites that were not burned. In Festuca communities current year standing crop was reduced in the first and third years (P = 0.010) after burning. Burning Stipa-Agropyron-communities tended to reduce current year standing crop, but the differences were not significant (P 0.050) compared to control. Increasing precipitation stimulated current year standing crop after burning Festuca (P < 0.001, r2 = 0.33) and Stipa-Agropyron (P < 0.001, r2 = 0.55) communities. Litter and current year standing crop were correlated (R2 = 0.24, P = 0.002) for Festuca indicating beneficial and detrimental effects of litter on production at low and high amounts, respectively. Litter and current year standing crop were not correlated (P = 0.964) for Stipa-Agropyron. In both communities total standing crop increased until about the eighth year after burning while the mass of litter appeared to reach a plateau around 11 years.
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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 | 0.001 |
| 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 | 0.001 | 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".