Effect of Basement Sump Pump Effluent on the Growth and Physiology of Urban Black Ash and Green Ash Ornamental Trees
Bibliographic record
Abstract
Abstract The effect of basement sump pump effluent discharge in proximity to boulevards and ornamental trees was studied at several sites near Edmonton, Alberta, Canada throughout the summer of 1996. The growth, leaf petiole water potentials, and gas exchange of black ash (Fraxinus nigra) and green ash (F. pennsylvanica) trees were measured at sites with and without nearby sump pump effluent discharge. Black ash trees had higher mortality, altered water relations, and significantly lower caliper increase at the site with sump pump effluent discharge compared to trees at the site without effluent discharge. Green ash trees situated away from sump pump effluent discharge had significantly greater caliper increase than trees situated near effluent discharge. Furthermore, salt injury symptoms were observed on both species of trees located at sites with nearby effluent discharge. Our results demonstrate the importance of monitoring sump pump effluent discharge and its effects on boulevard ornamental trees in areas where soils are poorly drained or contain high levels of salts. It is recommended that basement sump pump effluent discharge hoses should be positioned away from boulevards and ornamental trees.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".