Altitudinal changes of forest diversity and composition in the Ramal de Guaramacal in the Venezuelan Andes.
Bibliographic record
Abstract
Qualitative and quantitative data on forest floristic composition, structure and diversity were collected from eleven 0.1 ha (20 x 50 m) plots between 1830 and 2580 m to determine how forests change with increasing altitude on the northern slope of Cruz Carrillo National Park (Guaramacal) in the Andes of Trujillo and Portuguesa states, Venezuela.A total of 4,521 individuals > 2.5 cm d.b.h. was recorded, comprising 213 morphospecies, 124 genera, and 59 families of vascular plants.There included 171 species of trees, 7 tree ferns, 5 hemiepiphytes, 3 large herbs, 22 lianas, 4 palms and one climbing terrestrial herb.The most species-rich family was Lauraceae (26 species), followed by Rubiaceae (21), Melastomataceae (16), Myrtaceae (10), Euphorbiaceae (8), and Asteraceae (7).Floristic diversity increased from 1830 to 2350 m but decreased above that.Forest stature decreased at higher elevation, and density of small individuals increased.Analysis of floristic composition using Bray-Curtis cluster analysis and distribution pattern of the most important species (Importance Value Index) indicate altitudinal changes that suggest the presence of two vegetation zones separated by a transitional forest type.
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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 | 0.000 |
| 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".