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• W4320912785 abstract "Plant-pollinator interactions in diverse tropical communities are often predicted by a combination of ecological variables, yet the interaction drivers between flower-visiting bats and plants at the community level are poorly understood. We assembled a network between Neotropical bats and flowering plants to describe its macrostructure and to test the role of neutral and niche variables in predicting microstructure. We found a moderately generalized network with internally nested modules comprising functionally similar plant and bat species. Modules grouped bats and plants with matching degrees of specialization but had considerable overlap in species morphologies and several inter-module interactions. The spatiotemporal overlap between species, closely followed by morphology, and not abundance, were the best predictors of microstructure, with functional groups of bats also interacting more frequently with plants in certain vegetation types (e.g., frugivores within forests) and seasons (e.g., long-snouted nectarivores in the dry season). Therefore, flower-visiting bats appear to have species-specific niche spaces delimited not only by their ability to exploit certain flower types but also by preferred foraging habitats and the timing of resource availability. The prominent role of resource dissimilarity across vegetation types and seasons likely reflects the heterogeneity of Neotropical savannas, and further research in biomes beyond the Cerrado is needed to better understand the complexity of this system." @default.
• W4320912785 created "2023-02-16" @default.
• W4320912785 creator A5046365427 @default.
• W4320912785 creator A5053826459 @default.
• W4320912785 date "2023-02-15" @default.
• W4320912785 modified "2023-10-18" @default.
• W4320912785 title "The interplay between spatiotemporal overlap and morphology as determinants of microstructure suggests no ‘perfect fit’ in a bat-flower network" @default.
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• W4320912785 doi "https://doi.org/10.1038/s41598-023-29965-3" @default.
• W4320912785 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36792891" @default.
• W4320912785 hasPublicationYear "2023" @default.
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