The speciation of water-soluble Al and Zn in the rhizosphere of forest soils
Bibliographic record
Abstract
This study focuses on the relationships of dissolved Al and Zn speciation with microbial and chemical soil properties in the bulk and rhizosphere of forest soils. The soil components were sampled under Populus tremuloides Michx. at six sites located close to industrial facilities. Total water-soluble (Al(WS), Zn(WS)) and reactive (Al(R), Zn(R)) Al and Zn concentrations measured in soil water extracts, speciation data modeled by WHAM 6, chemical properties (pH, DOC, major cations and anions) and microbial properties (microbial biomass and enzyme activities) were measured on all soils. Enrichment in Al(R) and Zn(R) was observed in the rhizosphere compared to bulk soils. In a given soil material, the speciation of Al and Zn varied according to solution pH and Al-organic as well as Zn-organic complexes or Zn(2+) were generally the dominant species. The factors controlling the Al(WS), Zn(WS), Al(R) and Zn(R) concentrations differed between soil components, shifting from strictly chemical in the bulk (78%) to interactions among microbial and chemical variables in the rhizosphere (87%). Results further indicate that organic matter and pH were significantly linked to these response variables in the rhizosphere. Involvement of rhizospheric microorganisms occurred via pH changes induced by either the microbial assimilation of nitrogen or through the release of metals during the mineralization of roots. Our results therefore suggest that microbial activity is an important component of the biogeochemistry of Al and Zn in the rhizosphere. The study further provides key information to improve the assessment of ecological risk associated to Al and Zn in forest soils.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".