Environmental variability from internal waves affects benthic algal diversity in the littoral zone of a lake
Bibliographic record
Abstract
Theoretical models and experiments suggest that environmental variability promotes the richness and evenness of species. This study tests whether environmental variability due to internal waves in a Canadian Shield lake affects the composition of natural benthic algal communities. Diatom richness and evenness increase with increasing environmental variability, but there is no relationship between environmental variability and total algal biomass. Mathematical models suggest that internal waves can shoal in this lake, transferring energy to the littoral zone, creating turbulence, and possibly resuspending sediments. This suggests that algal communities may be affected by fluctuations in several concurrent factors (temperature, currents, light, and nutrients). In this lake, the observed patterns of diversity cannot be explained by the patterns of temperature variability nor turbidity (and therefore not light and nutrients). I conclude that fluctuating currents from internal waves may be the most important structuring force in these natural benthic algal communities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".