Riqueza, distribución y endemismo del género Brickellia (Asteraceae, Eupatorieae)
Bibliographic record
Abstract
Background: The geographic distribution of species is crucial for identifying patterns of species richness and endemism in global biodiversity. This information serves as the foundation for formulating hypotheses about the processes and factors that drive the variation in the distribution of organisms. Questions: How are Brickellia species distributed? Where are the areas of greatest richness and endemism of Brickellia located? Studied species: Brickellia genus. Study site and dates: American Continent. Methods: A database was constructed using geographic information from herbarium specimens, electronic databases, and published literature. Distribution maps for Brickellia species were generated. Patterns of species richness and endemism were calculated using 1 × 1° grid and biogeographic provinces. The correlation between these two patterns was assessed using Spearman's correlation coefficient. Results: A total of 109 Brickellia species are recognized, ranging from southern Canada to northern Argentina. Mexico exhibits the highest values of species richness and endemism for this genus. The Chihuahuense, Sierra Madre Occidental, Sierra Madre del Sur, Tierras Bajas del Pacífico and Faja Volcánica Transmexicana provinces are particularly notable for having the highest levels of both diversity patterns. A positive and significant correlation between these patterns was observed. Conclusions: The areas of highest species richness and endemism for Brickellia are located in Mexico, where a geographic congruence between both diversity patterns is observed, indicating that regions with high species diversity also exhibit elevated levels of endemism.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".