Floral morphology and anatomy of Fagus grandifolia subsp. mexicana (Fagaceae), an endangered-relict tree of the Mexican montane cloud forest
Bibliographic record
Abstract
Background: This study is the first to examine the inflorescence, and the staminate and pistillate flowers of the Mexican beech, an endangered-relict tropical montane cloud tree species. Questions: Are there morphological and anatomical differences in Mexican beech's inflorescence and flowers in comparison with other beech species worldwide? Study species: Fagus grandifolia subsp. mexicana (Martínez) A.E. Murray) Study site and dates: Five Mexican beech stands from eastern Mexico, early February to early March 2017 and 2020. Methods: 400 Mexican beech floral buds and immature pistillate and staminate flowers in anthesis were collected and processed by light microscopy analysis and the pollen by scanning electron microscopy. Results: We found floral morphology and anatomy differences of this southernmost American beech species regarding the New- and Old-World taxa. We found that the inflorescence morphology of the Mexican beech is similar to some Asian beeches such as F. hayatae subsp. pashanica , F. lucida and F. longipetiolata. Notwithstanding, the staminate and pistillate flowers' anatomy is similar to that of F. grandifolia from Canada and the United States of America, F. sylvatica from Europe and F. crenata from Japan. Conclusions: The inflorescence and floral anatomical and morphological differences can be explained by possible hybridizations. Since only the pistillate and staminate flowers of F. sylvatica and F. grandifolia have been studied in detail, morphological, molecular and ecological studies of the Asian beech species are needed to achieve a better understanding of the floral morphology and anatomical evolution of these species and their relationship with the Mexican beech.
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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 | 0.000 | 0.000 |
| 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".