MYRACRODRUON URUNDEUVA FR ALL. (AROEIRA TREE) POPULATION DYNAMICS, DIAMETER GROWTH RATE AND ITS POTENTIAL FOR SUSTAINABLE MANAGEMENT IN SUCCESSIONAL TROPICAL DRY FORESTS OF BRAZIL
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Bibliographic record
Abstract
ABSTRACT Myracrodruon urundeuva, better known in Brazil as “Aroeira”, is an arboreal species highly used for its commercial and pharmacological value. Despite the high commercial value in the timber market, this species lacks studies analyzing the recovery time and growth in different stages of succession in the Brazilian tropical dry forests. The main objective of this study was to determine growth rates of this species in three successional stages of a tropical dry forest in Mata Seca State Park, in Minas Gerais, Brazil. We measured all individuals (≥5cm of DBH) annually in 18 permanent plots in early, intermediate, and late successional stages over a period of 8 years (2006-2014). We calculated the annual diameter increments for each individual of this species, for each successional stage and by diameter class. We obtained the following mean annual increments by successional stage: early (10.53 mm/yr), intermediate (2.09 mm/yr), and late (2.90 mm/yr). Increment growth rates were similar between the intermediate and late successional stages. The highest incremental increase in diameter was obtained in the diameter classes 5-15 cm and 15-25 cm in the early stage, and for the intermediate stage, maximum increments were found in the 5-15 cm diameter class and 35-45 cm class for the late stage. Results from this study support the conclusion that this tree is not only a pioneering species but that it also tolerates the conditions of advanced successional stages. Given the fast and high diametric increments observed in the early stage of succession and the smaller diametric classes, this species demonstrates great potential for silvicultural management.
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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 it