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Interaction intimacy affects structure and coevolutionary dynamics in mutualistic networks
Authors:Guimarães Paulo R  Rico-Gray Victor  Oliveira Paulo S  Izzo Thiago J  dos Reis Sérgio F  Thompson John N
Affiliation:1. Instituto de Física “Gleb Wataghin”, Universidade Estadual de Campinas 6165, Campinas–São Paulo, 13083-970, Brazil;2. Integrative Ecology Group, Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas, Apartado 1056, E-41080 Sevilla, Spain;3. Departamento de Ecología Aplicada, Instituto de Ecología, AC Apartado 63, Xalapa, Veracruz 91070, México;4. Departamento de Zoologia and, Instituto de Biologia, Universidade Estadual de Campinas 6109, Campinas–São Paulo, 13083-970, Brazil;5. Departamento de Parasitologia, Instituto de Biologia, Universidade Estadual de Campinas 6109, Campinas–São Paulo, 13083-970, Brazil;6. Biological Dynamics of Forest Fragments Project, Smithsonian Tropical Research Institution, Instituto Nacional de Pesquisas da Amazônia 478, Manaus–Amazonas, 69011-970, Brazil;7. Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, California 95064
Abstract:The structure of mutualistic networks provides clues to processes shaping biodiversity [1-10]. Among them, interaction intimacy, the degree of biological association between partners, leads to differences in specialization patterns [4, 11] and might affect network organization [12]. Here, we investigated potential consequences of interaction intimacy for the structure and coevolution of mutualistic networks. From observed processes of selection on mutualistic interactions, it is expected that symbiotic interactions (high-interaction intimacy) will form species-poor networks characterized by compartmentalization [12, 13], whereas nonsymbiotic interactions (low intimacy) will lead to species-rich, nested networks in which there is a core of generalists and specialists often interact with generalists [3, 5, 7, 12, 14]. We demonstrated an association between interaction intimacy and structure in 19 ant-plant mutualistic networks. Through numerical simulations, we found that network structure of different forms of mutualism affects evolutionary change in distinct ways. Change in one species affects primarily one mutualistic partner in symbiotic interactions but might affect multiple partners in nonsymbiotic interactions. We hypothesize that coevolution in symbiotic interactions is characterized by frequent reciprocal changes between few partners, but coevolution in nonsymbiotic networks might show rare bursts of changes in which many species respond to evolutionary changes in a single species.
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