Influence of Soil Type and Rocky Outcrops on the Species Distribution in a Woody Plant Community at Brazilian Semiarid
Bibliographic record
Abstract
Cerrado is a biome that holds many phytophysiognomies, influenced by the edaphic factors, where the type of substrate is strongly related to the established vegetation. This study aims to verify on how soil physicochemical properties, as well as the presence of rocky outcrops, influence the species distribution of woody plants in a Cerrado fragment located in deep soils and tabular relief at Serra do Boqueirão (289 m elev.) Lavras da Mangabeira municipality (6º72′24″ S; 38º97′73″ W), Northeastern Brazil. Every individual with a DNS ≥ 3 cm in 12 sampling units with an area of 12 × 30 m (0.432 ha) was sampled. PAST v. 3.23 software was used in the Main Component analyses. The physical and chemical analyses of the soil were made with samples collected at 0-20 cm and 20-40 cm depths. Differences in diversity, hierarchy and dominance volume of woody plant populations were found between sites with or without the presence of rocky outcrops. The soil has a tendency for water erosion and the aluminum saturation reached values of concentration of 7.9 cmolc dm-3, with a pH value between 4.1-4.2 in rocky environments. The obtained results suggest that Q. parviflora and A. occidentale probably have some kind of resistance to the toxicity of aluminum in soil with a pH value below 5.0.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".