title: Are local filters blind to provenance? Ant seed predation suppresses exotic plants more than natives.
abstract: The question of whether species' origins influence invasion outcomes has been a point of substantial debate in invasion ecology. Theoretically, colonization outcomes can be predicted based on how species' traits interact with community filters, a process presumably blind to species' origins. Yet, exotic plant introductions commonly result in monospecific plant densities not commonly seen in native assemblages, suggesting that exotic species may respond to community filters differently than natives. Here, we tested whether exotic and native species differed in their responses to a local community filter by examining how ant seed predation affected recruitment of eighteen native and exotic plant species in central Argentina. Ant seed predation proved to be an important local filter that strongly suppressed plant recruitment, but ants suppressed exotic recruitment far more than natives (89% of exotic species vs. 22% of natives). Seed size predicted ant impacts on recruitment independent of origins, with ant preference for smaller seeds resulting in smaller seeded plant species being heavily suppressed. The disproportionate effects of provenance arose because exotics had generally smaller seeds than natives. Exotics also exhibited greater emergence and earlier peak emergence than natives in the absence of ants. However, when ants had access to seeds, these potential advantages of exotics were negated due to the filtering bias against exotics. The differences in traits we observed between exotics and natives suggest that higher-order introduction filters or regional processes preselected for certain exotic traits that then interacted with the local seed predation filter. Our results suggest that the interactions between local filters and species traits can predict invasion outcomes, but understanding the role of provenance will require quantifying filtering processes at multiple hierarchical scales and evaluating interactions between filters.
authors.affiliation: Rocky Mountain Research Station, United States Department of Agriculture, Forest Service, Missoula, Montana, United States of America; Division of Biological Sciences, University of Montana, Missoula, Montana, United States of America.
authors.forename: Dean E
authors.initials: DE
authors.lastname: Pearson
authors.affiliation: Rocky Mountain Research Station, United States Department of Agriculture, Forest Service, Fort Collins, Colorado, United States of America.
authors.forename: Nadia S
authors.initials: NS
authors.lastname: Icasatti
authors.affiliation: Instituto de Ciencias de la Tierra y Ambientales de La Pampa (Consejo Nacional de Investigaciones Científicas y Técnicas-Universidad Nacional de La Pampa) and Facultad de Ciencias Exactas y Naturales, Universidad Nacional de La Pampa, Santa Rosa, La Pampa, Argentina.
authors.forename: Jose L
authors.initials: JL
authors.lastname: Hierro
authors.affiliation: Rocky Mountain Research Station, United States Department of Agriculture, Forest Service, Fort Collins, Colorado, United States of America.
authors.forename: Benjamin J
authors.initials: BJ
authors.lastname: Bird
mesh_terms: D000818:Animals; D001000:Ants / Q000502:physiology*; D005247:Feeding Behavior / Q000523:psychology*; D058865:Introduced Species; D010944:Plants; D012639:Seeds
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