Species traits and network structure predict the success and impacts of pollinator invasions

Fernanda S. Valdovinos (), Eric L. Berlow, Pablo Moisset de Espanés, Rodrigo Ramos-Jiliberto, Diego P. Vázquez and Neo D. Martinez
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Fernanda S. Valdovinos: University of Michigan
Eric L. Berlow: Vibrant Data
Pablo Moisset de Espanés: Universidad de Chile
Rodrigo Ramos-Jiliberto: Universidad Mayor
Diego P. Vázquez: CONICET
Neo D. Martinez: The University of Arizona

Nature Communications, 2018, vol. 9, issue 1, 1-8

Abstract: Abstract Species invasions constitute a major and poorly understood threat to plant–pollinator systems. General theory predicting which factors drive species invasion success and subsequent effects on native ecosystems is particularly lacking. We address this problem using a consumer–resource model of adaptive behavior and population dynamics to evaluate the invasion success of alien pollinators into plant–pollinator networks and their impact on native species. We introduce pollinator species with different foraging traits into network models with different levels of species richness, connectance, and nestedness. Among 31 factors tested, including network and alien properties, we find that aliens with high foraging efficiency are the most successful invaders. Networks exhibiting high alien–native diet overlap, fraction of alien-visited plant species, most-generalist plant connectivity, and number of specialist pollinator species are the most impacted by invaders. Our results mimic several disparate observations conducted in the field and potentially elucidate the mechanisms responsible for their variability.

Date: 2018
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DOI: 10.1038/s41467-018-04593-y

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