Modeling and management of potential movement for elk (Cervus elaphus), bighorn sheep (Ovis canadensis) and grizzly bear (Ursus arctos) in the Radium Hot Springs S area, British Columbia
Bibliographic record
Abstract
I delineated potential movement corridors for elk (Cervus elaphus nelsoni), bighorn sheep (Ovis canadensis canadensis) and grizzly bear (Ursus arctos) using a GIS-based modeling approach. This approach incorporated current modeling techniques complemented by site-specific knowledge of wildlife use acquired through an extensive review of the literature, key informant interviews and personal observations in the field. My analysis led to the identification of 18 potential corridors for elk and/or grizzly bear and 12 potential corridors for bighorn sheep. Three corridors stand out as being particularly important for ensuring connectivity on a regional scale, for multiple species. The Upper Luxor Creek Corridor provides the only low elevation, forested linkage between the Kootenay and Columbia drainages within the study area that is relatively secure from human disturbance. The Upper Benchlands Corridor offers a high quality corridor for movements along the Columbia Valley and, because of its width and gentle topography, is probably suitable for a wide variety of species. This corridor is of particular significance because it provides a safe route for animals traveling between the Columbia Valley and Kootenay National Park via the Lower Sinclair Creek Corridor. The Lower Sinclair Creek Corridor represents another important low-elevation forested linkage between the Columbia and Kootenay Valleys. Empirical data and anecdotal observations demonstrate movement of bighorn sheep, elk, wolf and cougar through this corridor. The main issues threatening habitat connectivity in the Radium area are increasing recreational and residential development, blockage of movement and mortality associated with transportation corridors, and a lack of coordinated regional planning. General recommendations aimed at preserving a functional network of corridors across the greater Radium landscape include the formation of a sub-regional ecosystem advisory committee, the formation of a sustainable economy committee, the establishment of an inter-jurisdictional wildlife database and more extensive monitoring of wildlife movements. I also provide specific recommendations relating to each of the focal species as well as to each potential corridor identified. Recommendations for future research and management are also presented.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".