Influence of free-floating plant species richness and composition on water quality improvement
Why this work is in the frame
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Bibliographic record
Abstract
Background The link between species richness and ecosystem services remains a central question in ecology.Aims To evaluate the effect of composition and plant richness on water quality improvement.Methods Thirty-nine mesocosms (65 L) were divided into four quadrants and were either planted in monocultures, or in 2- or 4-species combinations. Mesocosms were fed with synthetic wastewater during one growing season and outflow samples were collected weekly for physico-chemical analyses.Results Pollutant removal efficiency varied among plant species and species combinations. Eichhornia crassipes outperformed the other plant species and was the only one whose presence in a plant combination had a positive effect on pollutant removal. Species richness had a small but highly significant effect on nitrogen removal, with 2-species and 4-species systems outperforming by 4% and 5%, respectively, the average removal of the monocultures. The removal efficiency of a combination of two species was occasionally better than the average of these species in monocultures. However, higher plant species richness never showed greater treatment performance over the most efficient monoculture of its constituent species.Conclusions Our study showed some weak but significant biodiversity effects of free-floating plant species on water quality improvement. Nevertheless, total plant biomass remained a better predictor of water purification capacity than species richness.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 it