Road salt pollution shifts urban stormwater ponds toward cyanobacterial dominance
Bibliographic record
Abstract
Abstract Urban environments contend with an array of stressors, including salinization by deicing road salts. To advance understanding of how road salt pollution affects aquatic ecosystem functioning, we surveyed primary producers in 50 stormwater ponds in Brampton, Canada. We found that chloride concentrations decreased (benthic) periphytic algal biomass but had no detectable effect on the total biomass of (free‐floating) phytoplankton. However, impacts were obscured by underlying compositional shifts, as cyanobacteria generally compensated for declines of other taxa. Varying sensitivities of taxonomic groups (inferred from diagnostic pigments) revealed potential bioindicators, with the proportion of periphytic chromophytes declining most significantly and effects on the relative concentrations of green algae differing between planktonic and benthic communities. As chloride concentrations were a leading predictor of cyanobacterial dominance in our study of impaired, nutrient‐rich, urban ponds, findings reveal an emerging risk of potentially harmful organisms from the ongoing salinization of freshwater resources.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".