Three New <i>Gesneria</i> Species (Gesneriaceae) Support Parc National Pic Macaya (Haiti) as an Important Biodiversity Hotspot
Bibliographic record
Abstract
Abstract— The Caribbean Islands are a biodiversity hotspot characterized by a high taxonomic diversity and endemicity, suggesting that many species have yet to be discovered. Unfortunately, many of these undescribed species may go extinct before they are described because of the drastic habitat loss in these oceanic islands. In this study, we describe three new plant species of Gesneria (Gesneriaceae) that are endemic to the Massif de la Hotte in southwest Haiti, a region recently affected by extensive deforestation. Elliptical Fourier analyses of leaf shapes and DNA sequencing of five nuclear genes were used to support the species delimitations. Gesneria flava is a tall shrub with large yellow flowers, leafy sepals, and rugose leaves. Gesneria × cornuta is a hybrid between Gesneria bicolor and the newly described Gesneria flava and is morphologically intermediate between its parents. Its hybrid origin is further supported by the presence of alleles from both parents for all five nuclear genes sequenced. Finally, Gesneria radiata is a saxicolous herb with radially symmetrical corollas. The three new species described here are limited to a single mountain range in the Caribbean, the Massif de la Hotte. These recent discoveries reflect the high endemicity of this region and exemplify the urgency to conserve the remaining primary forest of Haiti in order to protect its biodiversity.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".