Data from: Prevalence and consequences of heterospecific pollen receipt in the subalpine plant communities of <em>Polemonium brandegeei</em>
Bibliographic record
Abstract
Many pollinators visit multiple plant species, causing pollinators to deposit diverse pollen loads. Although heterospecific pollen (HP) transfer is widespread, few studies have tested how HP deposition affects plant fitness in natural populations. We investigated the fitness consequences of HP receipt within two floral communities surrounding Polemonium brandegeei (Polemoniaceae), a subalpine herb with diverse pollinators. First, we collected open pollinated stigmas from abundant species in flower (n = 11) and generated pollen transfer networks. All sampled species received or donated HP with distantly related species. Positive relations between HP receipt and conspecific pollen (CP) number and germination indicated facilitation due to pollinator sharing in P. brandegeei and Harbouria trachypleura (Apiaceae); however, HP receipt was low and did not affect CP germination in most species. Second, we conducted hand pollinations to test how donor-recipient relatedness affected consequences of HP receipt for P. brandegeei. A distantly related donor did not affect CP germination, seed set, or seed weight, but two congeneric donors reduced reproductive measures. This study suggests that pollinator sharing between native co-flowering species is common and can be beneficial in plant communities. However, competition may occur if closely related species begin to co-flower due to range changes or phenological shifts.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".