Eutrophication in three Canadian Areas of Concern: Phytoplankton and major nutrient interactions
Bibliographic record
Abstract
The Bay of Quinte, Hamilton Harbour and Toronto Harbour are all coastal regions of Lake Ontario that have experienced eutrophication and all have been designated as ‘Areas of Concern’ under the terms of the Great Lakes Water Quality Agreement. An assessment of the phytoplankton communities in relation to nutrient (P,N,Si) regimes was undertaken during 2015 (Bay of Quinte) and 2016 (Hamilton Harbour and Toronto Harbour) in order to compare and contrast the dynamics of eutrophication in the three ecosystems. Bay of Quinte was found to be phosphorus and silica enriched, but nitrogen limited which resulted in a phytoplankton community dominated by both filamentous diatoms and diazotrophic (N–fixing) cyanobacteria. Hamiton Harbour was phosphorus and nitrogen enriched, but silica depleted with a community dominated by small and large phytoflagellates in addition to experiencing cyanobacteria blooms. Toronto Harbour, by contrast, showed only moderate phosphorus enrichment and no nitrogen limitation, but some silica depletion; phytoplankton was dominated by smaller flagellates and pennate diatoms. Our findings suggest that while phosphorus was a key factor causing cultural eutrophication, other nutrients including nitrogen and silica also had important roles in determining the biomass and composition of the algal standing crop. Future management activities need to consider how the interactions of phosphorus with other nutrients (nitrogen, silica) affect the dynamics of the phytoplankton community in order to promote the recovery of eutrophic ecosystems.
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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 | 0.001 | 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 | 0.000 |
| 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".