Long-term native temperate grassland responses to warming, precipitation and defoliation in Central Alberta
Bibliographic record
Abstract
Canada’s northern temperate grasslands are a large and valuable natural resource that provides widespread social, economic and environmental benefits to Canadians. Understanding how grassland vegetation is affected by ongoing climatic disturbances such as increased temperatures, altered precipitation and variable defoliation intensities can help improve management practices and ensure this resource is managed sustainably. Over a five-year study period, treatments were conducted to manipulate air temperature, precipitation and variable intensities of summer defoliation. Plant cover (%) data were recorded and community diversity metrics and compositional responses to treatments were assessed. Species richness and diversity were generally resistant to climate treatments, plant cover responded to the combined interactions of temperature and precipitation, and species composition was affected by the combined interactions of all three effects. Our results suggest that these grasslands show resistance to long-term increases in air temperature, but that community composition may change more readily with increased precipitation and grazing.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 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 teacher head, 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".