Mapping Grizzly Bear Habitats for Conservation Planning in the Central Interior of British Columbia
Bibliographic record
Abstract
The Central Interior and Sub-Boreal Interior ecoprovinces of British Columbia represent an important transitional population of grizzly bears (Ursus arctos L.) occupying the area between two major mountain systems (Coastal Ranges and Central Rockies), as well as defining the boundary of extirpated range in the Fraser Plateau South. To assist ecoregional planning in the area, grizzly bear habitat models were produced for density, mortality risk, and source-sink habitat. Bear density was based on population estimates for each management unit and downscaling approaches using local habitat suitability rankings; mortality risk was modelled using 339 mortality locations from 2004 to 2007 and a suite of environmental and anthropogenic factors as predictors. Both models were combined to form a two-dimensional framework of habitat states representing source-like and sink-like habitats that help prioritize areas for protection and restoration (road decommissioning), respectively, as well as provide a basis for comparing with other biodiversity features. Irreplaceability values based on rare biota and unique habitats measured as the sum of runs in Marxan were significantly higher in grizzly bear source habitats than sink habitats suggesting that protection of grizzly bear source habitats would confer an umbrella or surrogate effect to other biodiversity.
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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 | 0.000 |
| 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".