Forecasting the magnitude and composition of phytoplankton blooms in a eutrophic lowland river (Rivière Yamaska, Que., Canada)
Bibliographic record
Abstract
The mechanisms controlling phytoplankton biomass and composition in the lower reach of the eutrophic (total phosphorus > 100 μg P·L−1) Rivière Yamaska were studied over six consecutive summers characterized by high (2008–2009) and low (2012–2013) discharge conditions. In the lower river reach, periods of low river discharge favoured planktonic blooms (>20 μg Chl-a·L−1) dominated by centric diatoms, in sharp contrast with numerous public reports of simultaneous occurrence of cyanobacterial proliferation in the upstream lakes and reservoirs. Daily cycles of hourly dissolved oxygen production were disrupted by floods but resumed in the days following flow abatement and persisted under low discharge conditions, suggesting that booms in the lower river reach resulted from local production rather than advection from upstream reservoirs. Motile, flagellate chlorophytes and cryptophytes were more important under extreme high and low discharge conditions, whereas cyanobacteria co-occurred with centric diatoms under intermediate discharge and highly illuminated conditions. Although the Rivière Yamaska’s flow remained sufficient to avoid cyanobacterial proliferation even under lowest discharge conditions, our results suggest that increasing water residence time, either through severe drought or river damming, will amplify the risk of toxic algal blooms in the free-flowing reaches of the lower Rivière Yamaska.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".