Influence of Plant Species and De‐Icing Salt on Microbial Communities in Bioretention
Bibliographic record
Abstract
ABSTRACT Bioretention (BR) systems are green infrastructures used to manage runoff even in cold climates. Bacteria and fungi play a role in BR's performance. This mesocosm study investigated the influence of plant species and de‐icing salt on the diversity, the community composition, and the differential abundance of bacteria and fungi in BR. Cornus sericea, Juncus effusus , Iris versicolor and Sesleria autumnalis were selected. They are planted in BR while differing in terms of biological forms and functional traits. The semi‐synthetic stormwater used was supplemented in spring with four NaCl concentrations (0, 250, 1000 or 4000 mg Cl.L −1 ). Soil was sampled before the experiment, before salt application, and 5 months after the end of the salt treatment. The bacterial and fungal taxa were characterised by sequencing the 16S and ITS regions. The bacteria and fungi found in the BR were adapted to a cold, humid, and contaminated environment. No differences in microbial communities and their functions between treatments were perceivable 5 months after salt treatment. The taxa abundantly present are involved in functions related to the nitrogen cycle, degradation of hydrocarbons, metals tolerance, and remediation. Some were putative plant beneficial symbionts. The presence of certain microbial taxa varied significantly between plant species.
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How this classification was reachedexpand
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".