Distribution and conservation status of Cuban palms (Arecaceae)
Bibliographic record
Abstract
Palms are vital to tropical and subtropical ecosystems, with around 2,600 recognized species. In Cuba, their exceptional diversity and endemism, with 80% of species endemic, underline their ecological importance. However, more than 50% of the 71 species assessed are threatened, with 11 Critically Endangered and one Extinct (Roystonea stellata). Genera such as Coccothrinax and Copernicia are particularly notable but face serious threats from invasive species, intensive agriculture, unregulated logging, and climate change. These challenges are especially acute for microendemic species, many of which fall outside the National System of Protected Areas, which only covers 58.4% of critical palm habitats. Taxonomic uncertainties and a paucity of genetic data further hamper conservation efforts. Although updates to IUCN criteria have refined conservation assessments, progress has been insufficient to reverse the decline. Effective conservation requires an integrated strategy that combines in situ and ex situ measures, specific plans for vulnerable species, and priority protection of underrepresented areas. Engaging local communities, government agencies, and stakeholders in implementing sustainable practices is equally essential. Molecular studies to resolve taxonomic ambiguities and accurately delimit species are critical to ensuring the long-term survival of these iconic species and their ecosystems. To safeguard the future of Cuban palms, which remain a cornerstone of Caribbean biodiversity, a holistic approach addressing both ecological and socioeconomic factors is needed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".