Linking temporal changes in crayfish communities to environmental changes in boreal Shield lakes in south-central Ontario
Bibliographic record
Abstract
When aquatic ecosystems are among those most intensely affected by local and regional environmental change, it is crucial that stressors are identified to set priorities for future research and mitigation. Studies relating changes in important or sensitive assemblages to environmental changes provide a means to quantify potential stress on aquatic biota. Crayfish are ideal taxa for this type of study because they influence ecosystem structure and function and are sensitive to biotic and abiotic changes. We used historical and contemporary crayfish abundance and select environmental data for 100 inland lakes in central Ontario, to identify factors that are correlated with community membership and species distributions at each time and to elucidate environmental factors that can be directly linked to changes in relative abundance between the two time periods. Our results show that declines in lake calcium, invasions of warm-water centrarchids, and anthropogenic shoreline development have increased in their relative influence over time. These stressors may be affecting other freshwater biota directly, or indirectly through food web changes or altered abiotic interactions among the environmental changes.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".