Impact of different land uses on soil properties subject to sandyzation in the Brazilian Pampa biome
Bibliographic record
Abstract
Sandyzation areas in the Brazilian Pampa are highly degraded zones with reduced or absent vegetation and challenging soil conditions, making their recovery and economic use unfeasible. The objective of this study was to evaluate accumulated litter and physical–chemical attributes of the soil (up to one meter depth) in three land uses: sandyzation area (SN), fertilized Eucalyptus urophylla plantation after 7 years of its implementation on sandyzation area (EC), and native grassland (GR). Accumulated litter and its carbon (C) and nitrogen (N) stocks were higher in EC. Higher levels of organic matter (OM) and aluminum (Al) and greater stocks of C, N, potassium (K), calcium (Ca), and magnesium (Mg) were found in GR soil. The sandyzation process leads to a significant deterioration in the chemical quality of the soil, with a reduction in the stocks of C, N, K, Ca, and Mg. The establishment of Eucalyptus combined with fertilization positively influences the OM and C contents in the most superficial layer of the soil. However, the lack of significant improvements in the overall physical–chemical quality of the soil suggests that ecological restoration efforts focused on native vegetation may be more effective in recovering soil quality in areas affected by sandyzation.
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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 | 0.000 | 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".