GIS assessment of riparian reserve widths in critical habitat for the Salish Sucker (Catostomus sp.) in British Columbia since the Species at Risk Act was enacted
Bibliographic record
Abstract
The Salish Sucker (Catostomus sp.) is a Species at Risk, primarily due to habitat loss. Riparian vegetation is an important part of Salish Sucker habitat, because it buffers stream temperatures, prevents erosion, and provides suitable habitat. In this research, the changes in riparian vegetation widths, within critical habitat for Salish Suckers that have occurred in the 17 years since the Species at Risk Act (SARA) was enacted, were measured. This was done using ArcGIS Pro to compare the 2007 and the 2021 riparian vegetation widths in the eleven watersheds containing Salish Sucker. A key finding is that watersheds west of Chilliwack experienced only a decrease in riparian vegetation, while watersheds in and east of Chilliwack experienced increases and decreases in riparian vegetation. There is a loss of 102,045 m² and a gain of 82,060 m². Therefore, the net effect is a loss of 19,985 m². The findings indicate where habitat restoration efforts should be focused.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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 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".