title: Fine-Grained Distribution of a Non-Native Resource Can Alter the Population Dynamics of a Native Consumer.
abstract: New interactions with non-native species can alter selection pressures on native species. Here, we examined the effect of the spatial distribution of a non-native species, a factor that determines ecological and evolutionary outcomes but that is poorly understood, particularly on a fine scale. Specifically, we explored a native butterfly population and a non-native plant on which the butterfly oviposits despite the plant's toxicity to larvae. We developed an individual-based model to describe movement and oviposition behaviors of each butterfly, which were determined by plant distribution and the butterfly's host preference genotype. We estimated the parameter values of the model from rich field data. We simulated various patterns of plant distributions and compared the rates of butterfly population growth and changes in the allele frequency of oviposition preference. Neither the number nor mean area of patches of non-native species affected the butterfly population, whereas plant abundance, patch shape, and distance to the nearest native and non-native patches altered both the population dynamics and genetics. Furthermore, we found a dramatic decrease in population growth rates when we reduced the distance to the nearest native patch from 147 m to 136 m. Thus changes in the non-native resource distribution that are critical to the fate of the native herbivore could only be detected at a fine-grained scale that matched the scale of a female butterfly's movement. In addition, we found that the native butterfly population was unlikely to be rescued by the exclusion of the allele for acceptance of the non-native plant as a host. This study thus highlights the importance of including both ecological and evolutionary dynamics in analyses of the outcome of species interactions and provides insights into habitat management for non-native species.
authors.affiliation: Department of Biology, Stanford University, Stanford, California, United States of America.|Rocky Mountain Biological Laboratory, Crested Butte, Colorado, United States of America.
authors.forename: Mifuyu
authors.initials: M
authors.lastname: Nakajima
authors.affiliation: Department of Biology, Stanford University, Stanford, California, United States of America.|Rocky Mountain Biological Laboratory, Crested Butte, Colorado, United States of America.
authors.forename: Carol L
authors.initials: CL
authors.lastname: Boggs
mesh_terms: D000818:Animals; D002080:Butterflies / Q000254:growth & development / Q000502:physiology*; D003198:Computer Simulation; D016014:Linear Models; D011157:Population Dynamics; D013045:Species Specificity; D031227:Thlaspi / Q000502:physiology*