Evaluating the diversity, distribution patterns and habitat preferences of Carex species (Cyperaceae) in western Canada using geospatial analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Sedge ( Carex ) is a highly diversified genus of vascular plants with high species diversity in cold-temperate areas of the Northern Hemisphere. In Canada, 313 species of Carex are documented with 105 species in Saskatchewan, making it the largest genus of vascular plants in this Province. Research on the distribution and ecology of sedges in Saskatchewan is extremely limited. This study aims to find the distribution patterns of Carex species and identify their habitat preferences relative to environmental conditions in Saskatchewan through the application of GIS spatial analysis tools. Data on specimen-based occurrences of Carex species were collected, validated and consolidated from the Flora of Saskatchewan Association (FOSA) and analysed along with Carex datasets mobilised by the Global Biodiversity Information Facility (GBIF), resulting in 2655 individual records of occurrences. Our research includes seven environmental variables to explore relationships between Carex species and environment. The study produced comprehensive spatial maps and graphs illustrating species occurrences, species richness and diversity hotspots. It was found that Carex species have a diverse habitat preference strongly associated with temperature and precipitation and, to a lesser extent, soils. The species occurrences are mostly concentrated in the Boreal Plain and Prairie ecozones of the Province. Notably, species richness peaked in the central part of Saskatchewan in areas with moderate elevation and temperature and high precipitation. This integrative analysis emphasises the need for region-specific assessments to effectively manage and preserve biodiversity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it