Effects of industry on wolverine (Gulo gulo) ecology in the boreal forest of northern Alberta
Bibliographic record
Abstract
The wolverine is valued by both the trapping and conservation communities for their symbolization of wilderness. In Canada, wolverines are considered a species of Special Concern. In Alberta, wolverines are functionally extinct from central and southeast regions while populations that remain in the north and west May be at Risk. The uncertainty in Alberta’s current risk assessment is because wolverines are Data Deficient in the province. Conducting research on wolverines that will contribute to updating ecological risk assessments is critical for the conservation of the species. One of the greatest ecological threats to wolverines in northern Alberta and British Columbia is displacement and mortality caused by resource extraction and human access. This PhD research is focused on the effects of the oil/gas and forestry industries on wolverine ecology. Specifically, patterns of industrial traffic and land use influence wolverine movements and wolverine food habits and den-site selection were of interest. We evaluated wolverine ecology along a gradient of industrial disturbances represented in both Rainbow Lake and Bistcho Lake, Alberta starting in the fall of 2013. These data will facilitate improved population management by Alberta’s industrial and conservation stakeholders. Major project partners include the Dene Tha First Nation, Alberta Conservation Association, Alberta Trappers Association, Husky Oil, Strategic Oil, Wildlife Conservation Society Canada, TD Friends of the Environment Foundation, Safari Club International – Northern Alberta Chapter, Daishowa-Marubeni International Ltd. (DMI), and The Wolverine Foundation. Wolverines were trapped using log live-traps, GPS radiocollars were attached, and their movements were tracked spatially and temporally to traffic volumes and habitats. We monitored industrial traffic levels with a combination of road counts, motion-sensor cameras, and traffic data available from local industry. We also quantified variability in snow condition and its effects on wolverine movement with stations spread throughout the region. Den-site selection will be investigated by ground and air to understand small and large scale habitat requirements.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".