Regeneración natural de árboles y arbustos en potreros activos de Nicaragua
Bibliographic record
Abstract
The natural regeneration of trees and shrubs is a sustainable strategy for establishing silvopastoral systems in Central America. The abundance, richness, diversity and species composition of seedlings, saplings and adult trees and shrubs were compared in 46 active pastures in the municipality of Muy Muy, Matagalpa, Nicaragua, in order to identify their potential to naturally regenerate in active pastures. A total of 6,378 seedlings (height 30 cm and dbh 10cm) from 85 tree and shrub species were found. Thirty seven species had high regeneration rates in active pastures, while the remaining species showed possible limitations at different stages of regeneration. These results indicate that under the current extensive management conditions there is a high potential for establishing silvopastoral systems using natural regeneration. However, the richness and diversity of trees and shrubs will probably decrease unless measures are taken to facilitate the natural regeneration of those species that currently face limitations.
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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 | 0.001 | 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".