Aluminum accumulation and nutrients in <i>Pterolepis glomerata</i>, <i>Desmoscelis villosa</i>, and <i>Rhynchanthera grandiflora</i> in palm swamp communities
Bibliographic record
Abstract
The purpose of the study was to investigate if the herbaceous species Pterolepis glomerata (Rottb.) Miq. (Melastomataceae) is an aluminum (Al) accumulating species and compare its nutrition with other Al accumulators from the same family in palm swamp communities as follows: Desmoscelis villosa (Aubl.) (herb), and Rhynchanthera grandiflora (Aubl.) DC. (shrub or subshrub). This is important because P. glomerata belongs to the tribe Melastomeae and generally Al accumulators are perennial lignified species belonging to more basal tribes in the phylogenetic tree. Heterogeneity was observed in the soil characteristics of six sites in the palm swamp communities under study. However, in all the cases, the foliar concentrations of Al > 3 g·kg−1, the Al transfer factors (TF) (leaves:roots) > 1, and the stoiquiometric ratios Al:Ca > 1 indicated that the three species behaved as Al accumulators. A principal component analysis (PCA) of 11 chemical elements separated D. villosa from the other two species and associated it to Al. In this work, Al accumulation was reported for the first time in P. glomerata and was quantified in D. villosa, previously reported positive using the aluminon colorimetric method in herbarium samples. The Al tolerance in P. glomerata is a trait that possibly contributes to its wide distribution in acid soils throughout the neotropics and its introduction and naturalization in localities far from its site of origin.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.000 | 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 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".