Silver Sagebrush Community Associations in Southeastern Alberta, Canada
Bibliographic record
Abstract
Greater sage-grouse (Centrocercus urophasianus) habitat in southeastern Alberta is limited by the distribution of silver sagebrush (Artemisia cana Pursh). We conducted a landscape assessment of silver sagebrush throughout the current range of sage-grouse in southeastern Alberta. Black-and-white aerial photography acquired in the fall of 2001 was used to map silver sagebrush. Contact print stereo pairs were interpreted using a stereoscope and initially classified into 1 of 13 site classes based on soil type and landscape feature (e.g., recent agriculture). Each site polygon was further broken down into smaller polygons based on the percentage of silver sagebrush occupancy, density distribution, and height. A total of 4 626 site polygons were identified and classed into 1 of 13 site classes. To ensure all assumptions of statistical tests were met, the data set was reduced to 9 site classes. The mean percentage of silver sagebrush occupancy was significantly different between the 9 site classes (F = 285.00, df = 8, P < 0.001). The lotic site class had the highest mean percentage of occupancy, followed by overflow and old cultivated site classes. The frequencies of density distribution were not equal for all site classes (Pearson’s chi-square = 5 727.09, df = 72, P < 0.001). Lotic had greater than expected occurrences in distribution classes 8 through 12 whereas overflow had greater than expected occurrences in distribution classes 8 and 10. The frequencies of height class were not equal for all site classes (Pearson’s chi-square = 4 382.15, df = 24, P < 0.001). Lotic and overflow sites had greater than expected occurrences in the mixed and tall height classes, whereas blowouts, loamy and saline lowlands had greater occurrences in the small height class. Understanding the occupancy, density distribution, and height of silver sagebrush across the landscape will assist in understanding the resource selection patterns and management of sage-grouse in Alberta, Canada.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 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) | 0.002 | 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".