Seed size and frequency patterns of understory plants in Swedish deciduous forests
Bibliographic record
Abstract
This study examines whether frequency of understory plant species is positively related to seed size in deciduous forest communities, where seed size is expected to be positively related to recruitment success. We used data from three deciduous forests in Sweden for analyses across species and between phylogenetically independent species pairs. The analysis of phylogenetically independent species pairs was used as a method to reduce confounding factors. In two of three forests seed size was positively associated with frequency, irrespective of comparative method. We interpret the relationship between seed size and frequency as an outcome of three underlying relationships: a trade-off between seed size and seed production, a community-specific relationship between recruitment success and seed size, and a positive effect of establishment ability on frequency. We also found that the fraction of animal-dispersed seeds was higher in the investigated forest communities than in open semi-natural grasslands from the same region. The results indicate a complex of inter-relationships between seed size, dispersal, and frequency patterns.
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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".