ArticleScientific reports2020
Plants are visited by more pollinator species than pollination syndromes predicted in an oceanic island community.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 53 citations in OpenAlex.
- Mycorrhizal specialization for Tulasnellaceae fungi in Taeniophyllum marianense, a leafless epiphytic orchid native to Guam.Journal of plant research · 2026Article
- Flower size evolution in the Southwest Pacific.Annals of botany · 2025Article
- The associations between floral traits and pollinator groups in two Mediterranean mountainous plant communities in the Middle Atlas of Morocco.BMC ecology and evolution · 2025Article
- Nectar metabolomes contribute to pollination syndromes.The New phytologist · 2025Article
- Size Variation in Flower Petals of Chinese Animal-Pollinated Plants in Response to Climatic and Altitudinal Gradients.Ecology and evolution · 2025Article
- Species morphology better predicts plant-hummingbird interactions across elevations than nectar traits.Proceedings. Biological sciences · 2024Article
- Heterospecific pollen avoidance strategy prevails in the generalized plant-pollinator network on Yongxing Island.Ecology and evolution · 2024Article
- Adaptation to pollination by fungus gnats underlies the evolution of pollination syndrome in the genus Euonymus.Annals of botany · 2023Article
- Cowpea Constraints and Breeding in Europe.Plants (Basel, Switzerland) · 2023Review
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Authors and funding
5 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
The pollination syndrome concept has provided powerful utility in understanding the evolution and adaptation of floral traits. However, the utility of this conception has been questioned on the grounds that flowers usually attract a broader spectrum of visitors than one might expect. Furthermore, the relationship between plant specialization and floral traits is poorly understood. Here, we examined the applicability of using the pollination syndrome to predict the pollinators of plants on Yongxing Island. We used the species-level specialization of pollination networks to compare the difference of plant ecological specialization among floral traits. The result of full model was not significant, indicating that floral traits did not affect the pollinator functional groups. The five floral traits explained only 22.5% of the pollinator's visitation preference. Our results showed that plants were visited by more pollinator species than pollination syndromes predicted. Plants with restrictive flowers showed higher specialization than those with unrestrictive flowers, while other floral traits exhibited no significant effect on plant specialization. Generalized pollination system on oceanic island might influence the predictive accuracy of pollination syndromes and the relationship between floral traits and plant ecological specialization. Our findings highlighted the utility and limitations of pollination syndromes concept in oceanic island communities.
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