Silver sagebrush (<em>Artemisia cana</em>) survival and regrowth after fire in the mixed grass prairie
Bibliographic record
Abstract
Silver sagebrush (Artemisia cana) is a low shrub species that is common in northern mixed grass prairies and that provides important wildlife habitat. Silver sagebrush habitat has historically experienced frequent wildfires, but postsettlement fire control efforts have reduced fire frequencies. The effects of fire on silver sagebrush growth and regeneration are not clearly understood; this study examined the effects of fire on silver sagebrush regeneration by evaluating postfire plant size and distribution data from one season. Sites were located in the northern mixed prairie in Saskatchewan, Canada, and included pastures where the plant community was recovering from both prescribed fires and an intense wildfire. Silver sagebrush responded to fire by producing new shoots via rhizomes, with some plants also regenerating from the crown. No seedlings were observed. Larger plants and dense stands of silver sagebrush appeared to regenerate more successfully than did thin stands. These results demonstrated that silver sagebrush recovery is primarily vegetative, with clone mortality rare.La artemisa plateada (Artemisia cana) es una especie de arbusto bajo común en las praderas mixtas septentrionales que constituye un importante hábitat para la fauna salvaje. Históricamente, el hábitat de la artemisa plateada ha sufrido frecuentes incendios forestales, pero los esfuerzos de control de incendios posteriores al asentamiento han reducido su frecuencia. Los efectos del fuego sobre el crecimiento y la regeneración de la artemisa plateada no se conocen con claridad. Este estudio examinó los efectos del fuego en la regeneración de la artemisa plateada, utilizando datos sobre el tamaño y la distribución de las plantas una temporada después del incendio. Los sitios de estudio se ubicaron en la pradera mixta septentrional de Saskatchewan, Canadá, e incluían pastizales en los que la comunidad vegetal se encontraba en recuperación tras incendios controlados y un incendio forestal intenso. La artemisa plateada respondió al fuego produciendo nuevos brotes a través de rizomas, y algunas plantas también se regeneraron desde la corona. No se observaron plántulas. Las plantas más grandes y los rodales densos de artemisa plateada tuvieron mayor éxito de regeneración que los rodales delgados. Estos resultados demuestran que la recuperación de la artemisa plateada es principalmente vegetativa, siendo rara la mortalidad de clones.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".