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Nature 458, 1018-1020 (23 April 2009) | doi:10.1038/nature07950; Received 24 August 2008; Accepted 5 March 2009

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The architecture of mutualistic networks minimizes competition and increases biodiversity

Ugo Bastolla1, Miguel A. Fortuna2, Alberto Pascual-García1, Antonio Ferrera3, Bartolo Luque3 & Jordi Bascompte2

  1. Centro de Biología Molecular, Universidad Autónoma de Madrid – CSIC, Madrid 28049, Spain
  2. Integrative Ecology Group, Estación Biológica de Doñana, CSIC, c/ Américo Vespucio s/n, Sevilla 41092, Spain
  3. Departamento de Matemática Aplicada y Estadística, ETSI Aeronáuticos, Universidad Politécnica de Madrid, Plaza Cardenal Cisneros 3, Madrid 28040, Spain

Correspondence to: Jordi Bascompte2 Correspondence and requests for materials should be addressed to J.B. (Email: bascompte@ebd.csic.es).

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The main theories of biodiversity either neglect species interactions1, 2 or assume that species interact randomly with each other3, 4. However, recent empirical work has revealed that ecological networks are highly structured5, 6, 7, and the lack of a theory that takes into account the structure of interactions precludes further assessment of the implications of such network patterns for biodiversity. Here we use a combination of analytical and empirical approaches to quantify the influence of network architecture on the number of coexisting species. As a case study we consider mutualistic networks between plants and their animal pollinators or seed dispersers5, 8, 9, 10, 11. These networks have been found to be highly nested5, with the more specialist species interacting only with proper subsets of the species that interact with the more generalist. We show that nestedness reduces effective interspecific competition and enhances the number of coexisting species. Furthermore, we show that a nested network will naturally emerge if new species are more likely to enter the community where they have minimal competitive load. Nested networks seem to occur in many biological and social contexts12, 13, 14, suggesting that our results are relevant in a wide range of fields.

  1. Centro de Biología Molecular, Universidad Autónoma de Madrid – CSIC, Madrid 28049, Spain
  2. Integrative Ecology Group, Estación Biológica de Doñana, CSIC, c/ Américo Vespucio s/n, Sevilla 41092, Spain
  3. Departamento de Matemática Aplicada y Estadística, ETSI Aeronáuticos, Universidad Politécnica de Madrid, Plaza Cardenal Cisneros 3, Madrid 28040, Spain

Correspondence to: Jordi Bascompte2 Correspondence and requests for materials should be addressed to J.B. (Email: bascompte@ebd.csic.es).

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