Phytosociology a Humid Forest of the Chapada of Araripe, Crato, CE, Brazil
Bibliographic record
Abstract
The Chapada of Araripe is an exceptional landscape in the Caatinga, a seasonally dry tropical forest of northeastern Brazil, as it shelters several vegetation types, such as Carrasco, Cerrado, Cerradão and Humid Forest, different from the biome in which it is inserted. The first three phytophysiognomies mentioned above are already relatively well documented. However, studies of the Humid Forest of the Chapada of Araripe are still incipient. In this context, the objective of this work was to contribute to the knowledge of the composition and structural organization of the flora of a wetland area of the Chapada of Araripe, Crato-CE. The research was developed from April 2014 to February 2016 and all individuals with CAP ≥ 15 cm were sampled. The botanical material was collected in 100 plots (100 m × 10 m), between coordinates 7º14′36″S, 7º15′23.5″S and 39º28′50″W, 39º29′30.8″W at an elevation between 904 m and 963 m, at the top of the Chapada of Araripe, Crato-CE. The testimonial material was deposited in the Herbarium Caririense Dárdano de Andrade-Lima of the Regional University of Cariri. We sampled 3,067 individuals distributed in 59 species. The total basal area was 43,278 m2 and the density was 3,067 per hectare. The families Fabaceae, Myrtaceae, Rubiaceae, Lauraceae and Chrysobalanceae presented greater specific richness. The species Ocotea nitida (Meisn.) Rower, Protium heptaphyllum (Aubl.) Marchand, Licania sp. and Cordiera myrciiflora (K. Schum.) C. H. Press. & Delprete were the most important to the community due to the high IVI for the sampled area. The first occurrence of the genus Helicostylis for Ceará was recorded. The Humid Forest of Chapada of Araripe presents floristic elements from the Amazon Region, Cerrado and species of Atlantic Forest Domain.
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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 | 0.001 | 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) | 0.003 | 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".