The role of pollination effectiveness on the attributes of interaction networks: from floral visitation to plant fitness.
Network analysis is a powerful tool to understand community-level plant-pollinator interactions. We evaluated the role of floral visitors on plant fitness through a series of pollination exclusion experiments to test the effectiveness of pollinators of an Ipomoea community in the Pacific coast of Mexico, including: (1) all flower visitors, (2) visitors that contact the reproductive organs, (3) visitors that deposit pollen on stigmas, and (4) visitors that mediate fruit and seed production. Our results show that networks built from effective pollination interactions are smaller, less connected, more specialized and modular than floral visitor networks. Modules are associated with pollinator functional groups and they provide strong support for pollination syndromes only when non-effective interactions are excluded. In contrast to other studies, the analyzed networks are not nested. Our results also show that only 59% of floral visitors were legitimate pollinators that contribute to seed production. Furthermore, only 27% of the links in visitation network resulted in seed production. Our study shows that plant-pollination networks that consider effectiveness measures of pollination in addition to floral visitation provide insightful information about the different role floral visitors play in a community, encompassing a large number of commensalistic/antagonistic interactions and the more restricted set of mutualistic relationships that underlie the evolution of convergent floral phenotypes in plants.
['de Santiago-Hernández|Martín H|MH|', 'Martén-Rodríguez|Silvana|S|', 'Lopezaraiza-Mikel|Martha|M|', 'Oyama|Ken|K|', 'González-Rodríguez|Antonio|A|', 'Quesada|Mauricio|M|']
D035264:Flowers D008800:Mexico D010944:Plants D011058:Pollen D054817:Pollination
plant fitness floral visitors effective pollinators pollination syndromes fruit set phenology pollen count pollination networks seed set