Phosphorus uptake by cattail plants in a laboratory-scale experiment related to constructed treatment wetlands
Bibliographic record
Abstract
This paper describes a laboratory-scale study of phosphorus (P) uptake by broad-leaf cattail plants (Typha latifolia) growing in gravel substrate. The cattails were fed synthetic wastewater at P concentrations representative of primary and secondary municipal sewage effluent. Phosphorus uptake to the upper and lower portions of the cattail plants, adsorption to the gravel substrate, and the pore water concentration were measured over a simulated growing season. The objective was to quantify the mass of phosphorus accumulated in each compartment as the growing season progressed. The experimental results show that the partitioning of P between the upper and lower portions of the plants varied throughout the simulated growing season. At the end of the season uptake by cattails had removed about 40% and 45% of the P mass input under the primary and secondary effluent conditions, respectively. Adsorption of P to the gravel substrate and other fine sediments removed about 43% and 56% of the P mass input under the primary and secondary effluent conditions, respectively. The results provide insight into the potential timing and effectiveness of cattail harvesting for removal of P from constructed treatment wetland systems. Key words: constructed treatment wetland, cattail (Typha latifolia), laboratory-scale study, phosphorus removal, phosphorus uptake, phosphorus adsorption, phosphorus mass balance.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".