Connectivity assessment of changes in wetland ecosystems from 1946 to 2003 in the Resort Municipality of Whistler, British Columbia
Bibliographic record
Abstract
Wetlands throughout the Resort Municipality of Whistler (RMOW) are becoming smaller and more fragmented due to development and introduction of linear features: roads and railways.Landscape changes may result in negative consequences for wetland ecosystems, including reducing genetic diversity and decreasing species populations.Using aerial photographs, 1946-2003, this study focused on spatial and temporal changes in extent, patch size, and connectivity to wetland ecosystems.Connectivity was assessed with commonly used geometric measures (area, shape index, total edges) together with a functional, graph-based metric (correlation length).Both geometric and functional measures of connectivity gave similar results; however.functional measures provided insight into the effect of changes to the matrix between the wetlands not shown with solely geometric measures.Overall.total area of wetlands and connectivity throughout the RMOW decreased significantly.Although wetland habitat patches and landscape matrix contributed to decreased connectivity.changes to wetland patches themselves had a stronger effect.guiding me through my questions, concerns, and frustrations was greatly appreciated.Without your support and guidance, this project would not have achieved the results it has.You are unparalleled as a mentor and always had me considering aspects of this project that I had never imagined.Thank you Dr. Suzana Dragicevic and Dr. Arthur Roberts for their openmindedness and theu willingness to become involved in this project, which took their strengths and applied them to a resource management issue.Thank you to Dan Griffin,
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| 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".