Analysis of pollination neighbourhood size using spatial analysis of pollen and seed production in broadleaf cattail (<i>Typha latifolia</i>)
Bibliographic record
Abstract
The size of pollination neighbourhoods has important consequences for mating patterns, seed production, gene flow, and patterns of genetic variation across populations. We examined the size of the pollination neighbourhood in a stand of a wind-pollinated clonal plant (Typha latifolia L.; broadleaf cattail) by evaluating spatial patterns of pollen production and seed set by individual shoots. We then simulated spatial patterns of pollen availability to investigate the shape of the pollen dispersal curve. We detected significant positive spatial autocorrelations in seed set over distances up to 5 m. This spatial variation in patterns of seed set appeared to be driven by the local availability of pollen: we found significant cross-correlations between pollen production and seed set over distances of approximately 2 m. The simulations supported this inference; simulated pollen dispersal curves fit observed patterns of seed set when ∼99% of pollen was assumed to disperse over distances less than 2 m. Together, these results indicate that the majority of pollination events occur within very close proximity of pollen sources in T. latifolia. Although within-shoot selfing has long been assumed to be a major pollination mode in T. latifolia, our data indicate that pollination events in the stand were more likely to have involved between-shoot pollination.
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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 | 0.002 |
| 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".