Flowering phenology and pollination syndromes in species with different growth forms in a Neotropical temperate forest of Mexico
Bibliographic record
Abstract
This study, conducted over a period of 2 years (2007–2009), analyzes the relationship of abiotic factors with the flowering phenology of 143 species in a Neotropical temperate forest; these forests are similar to those of temperate latitudes in terms of physiognomy and temperature regime, but differ in terms of the biogeographic origins of part of the flora and greater seasonality in patterns of rainfall. To visualize the range of possible flowering responses within a community, we examined flowering phenological behavior and pollination syndromes in species with different growth forms. At the community level, rainfall was positively related to flowering phenology. However, environmental variables had different effects on flowering phenology in species with different growth forms. Specifically, variation in rainfall is the most important factor in flowering in herbaceous species, while day length has a greater impact on the response of flowering in woody plants. Pollination syndrome showed a close relationship with species growth form and is related to the duration of flowering. Our hypothesis that rainfall has an important effect on the flowering phenology of plant species of this temperate forest was supported; however, day length also showed high a correlation with flower production in trees and shrubs. The analysis of community phenology in more specific flowering responses associated with different growth forms has a high explanatory value for understanding the factors behind the phenological behavior of plants.
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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 | 0.000 | 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) | 0.000 | 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".