Complexity and spatial structuring of fish communities across urbanized watersheds and waterfronts
Bibliographic record
Abstract
Understanding the spatial structure and diversity of fish communities in urban environments is crucial for effective conservation and management. Our study investigates the complexity and spatial structuring of fish communities across urbanized watersheds and waterfronts in the Toronto region. We evaluated the influence of environmental factors, including habitat, human impact, and species traits, on fish community composition. Specifically, we identify distinct groups based on sampling locations using modularity analysis and partial least square path modeling (PLS-PM). Our results reveal three distinct fish community groups. The first group, primarily located in major watersheds such as Humber and Rouge, is characterized by lower human impact and larger tracts of less developed land, where habitat variables like water quality play a significant role. These areas support species with intermediate tolerance levels to disturbances. The second group includes diverse waterfront and nearshore habitats, where high species richness and variability are influenced by varied environmental conditions and riparian zones, with limited urban impact. The third group, encompassing some of the more urbanized areas, faces the constraints of urbanization and a high density of instream barriers, resulting in lower species diversity and a dominance of disturbance-tolerant species. Our findings highlight how different urban environments shape fish communities based on available habitat in interaction with species traits. This underscores the importance of tailored urban watershed management strategies based on urbanization levels and habitat constraints.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".