Historical perspectives on woodland caribou (Rangifer tarandus caribou) and landscape changes in the Prince Albert greater ecosystem
Bibliographic record
Abstract
In central Saskatchewan, boreal woodland caribou population declines have been documented.In order to contribute to the conservation efforts, historical changes in caribou distribution, land cover, and habitat quality were documented in the Prince Albert Greater Ecosystem (PAGE), Saskatchewan, for the period of 1950 to the present.To examine changes in caribou distribution, survey observations, incidental sightings and telemetry data were collated.To quantify landscape changes, land cover maps were created for 1966 and2006 using current and historic forest resources inventories, fire, logging, and roads data.Results indicate that woodland caribou are still found throughout the study area although their distribution has changed and their use of Prince Albert National Park is greafly limited.Transition probabilities and landscape composition analyses point to an ageing landscape for both the National Park and provincial crown land portions of the PAGE.In addition, increased logging and the development of extensive road and trail networks on provincial crown land has resulted in significant landscape fragmentation and reduced functional attributes of caribou habitat.To assess how these changes have affected the spatial arrangement of caribou habitat, a resource selection function (RSF) using GPS telemetry data and generalized estimating equations was developed.Results showed selection for treed muskeg and mature jack pine dominated stands and avoidance of hardwood, young coniferous stands, logging and linear features.The best model was applied to the 1966 and,2006vegetation maps to produce a predictive habitat map.Results showed greater area covered by high quality habitat in2006 however the high quality habitat was clustered.In 1966 there
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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 | 0.001 | 0.001 |
| 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".