Wildfire impacts on phytoplankton communities of three small lakes on the Boreal Plain, Alberta, Canada: a paleolimnological study
Bibliographic record
Abstract
Quantification of sedimentary pigments with high performance liquid chromatography enabled the examination of changes in phytoplankton community indicators after wildfire in three lakes on the Boreal Plain with 50-year sediment chronologies. The response of phytoplankton indicators to wildfire was strongest in the shallow Lake B19, with post-fire increased concentrations of β-carotene (all phytoplankton), cyanobacterial pigments (echinenone, canthaxanthin), and lutein (chlorophytes) (p < 0.05). In the relatively deep headwater Lake B3, the indicator for all phytoplankton was not different after fire (p = 0.3), but important changes occurred in the phytoplankton community for 4 years after fire. The concentrations of cyanobacterial (echinenone, myxoxanthophyll) and diatoms + chrysophytes (fucoxanthin) indicators were higher and lower (p < 0.05), respectively, after fire. The relatively deep and non-headwater Lake B4 was little impacted by fire. An increase in cyanobacterial biomass after fire is most likely to occur in shallow headwater lakes on the Boreal Plain.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| 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".