Soil fertility in indigenous swidden fields and fallows in northern Amazonia, Brazil
Bibliographic record
Abstract
Abstract In the northern Brazilian Amazon, indigenous peoples who inhabit the savannas of Roraima, plant their crop fields in frequently managed “forest islands” using a rotating “slash‐and‐burn” system. The system advocates long‐term sustainability, but population growth and threats to indigenous lands have led to shorter rotations and greater frequency of use of forest island areas. Our objective was to examine soil texture and fertility (0–20 cm in depth) in indigenous crop fields ( roças ) and fallow lands ( capoeiras , secondary forests), generating recommendations that may help to optimize traditional soil management. Results indicated that roça sites are less acidic than capoeira sites, which was expected as ashes produced by burning are alkalizing, but acidity did not increase again after 8 months of cultivation, and pH was high in all sites (>6). The general increase in nutrients expected in roças compared with capoeiras did not occur. The expected decrease of soil fertility after first months of cultivation did not happen, nor the increase of soil fertility according to fallow length. Overall, soil texture proved to be the main determinant of fertility. The unexpected results suggest that the edaphic processes resulting from the traditional indigenous cultivations, practised for centuries or millennia in this region, likely contributed to the current stabilization of soil acidity and fertility. The stable moderate fertility and stable high pH observed in all sites are advantages for production in slash‐and‐burn systems in this region, and this is especially important for more pressured areas, where agroecological practices could improve soil use and management. Although not determinant for soil fertility recovery at the studied depth (0–20 cm), the fallow period (growth of capoeiras ) is still important for recovery of environmental and social functions of forest islands.
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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".