Extrinsic factors influence phenology of the epiphytic hand fern (<i>Cheiroglossa palmata</i>)
Bibliographic record
Abstract
We sought to answer the following questions about the epiphytic hand fern Cheiroglossa palmata (L.) C. Presl: (i) are the longevity and morphology of leaves influenced by field site and host tree; and (ii) are leaf mortality, emergence, growth, and sporangial dehiscence influenced by weather? We monitored survival, morphology, emergence, growth, and dehiscence for 27 months at wet and dry field sites. We tested for correlations between phenology and weather from 0–3, 4–6, and 7–9 months before a field survey. More morphological traits were influenced by the tree in which a fern grew than field site. However, leaves at the wet site had longer blades, sporangial clusters, and sporophore stalks, and lived longer. More leaves emerged when precipitation and temperatures were higher within the prior 3 months. Leaves grew longer when precipitation was higher within 0–6 months and minimum temperature was higher within 4–6 months. Dehiscence was positively correlated with the number of days of precipitation within 3 months. Emergence, growth, and dehiscence were negatively correlated with some measures of temperature and precipitation, especially higher precipitation within 7–9 months. Our results indicate an important, but complicated, impact of seasonal variation in temperatures and precipitation on the phenology of hand fern.
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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 | 0.001 | 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) | 0.000 | 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".