The Influence of Climate and Land Cover Change on Historical Brook Trout (Salvelinus Fontinalis) Populations in the Humber River, Rouge River, and Duffins Creek Watersheds
Bibliographic record
Abstract
Long-term records of the abundance of organisms are neededto detect more progressive changes in their populations as a result of external stressors. Long-term changes in historical Brook Trout (Salvelinus fontinalis) population abundance were identified in the Humber River, Rouge River and Duffins Creek watershedsin Ontariothrough statistical analysis of twenty-six years of sampling records. Corresponding historical changes in air and stream water temperature, and in land cover were also examined. Changes detected in climate parameters, and in land cover were then related to Brook Trout population changes. Results revealed that Brook Trout abundance had decreased significantly. These changes were driven by populations in the Humber and Rouge River watersheds. Populations in the Duffins Creek watershed did not change significantly. Climate parameters didchangebut notsignificantly over timein the region. However, land cover changes wereobserved. In the short term, Brook Trout population changes were more likely due to changes in land cover than climate.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".