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How robust are pollination networks?: an assessment using alpine pollination and simulated networks
Research Areas
  • Physics chemical and mathematical
High robustness of complex ecological systems in the face of species extinction has been hypothesized on the redundancy in species. We explored how differences in network topology may affect robustness. We created synthetic networks to study the influence of the properties of asymmetry of network dimensions, connectance and type of degree distribution on network robustness. In synthetic and pollination networks, we used two extinction strategies: node extinction and link extinction, and we simulated three extinction scenarios differing in the order of species removal (least-to-most connected, random, most-to-least connected), to evaluate the robustness of 10 alpine pollination networks. In addition, we assessed robustness to extinction of simulated networks, which differed in one of the three topological features. Our study indicated that robustness of alpine pollination networks is dependent on the topology of each network. Simulated networks indicated that robustness increases when (a) extinction involved those nodes belonging to the most species-rich trophic level and (b) networks had higher connectance. We also compared simulated networks with different degree-distribution networks, and they showed important differences in robustness depending on the extinction scenario. In the link extinction strategy, the robustness of synthetic networks was clearly determined by the asymmetry in the network dimensions, while the variation in connectance produced negligible differences.
Complex Networks: Structure, Applications and Related Topics (Net-Works 2011)
El Escorial (España)
Start Date
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Proceedings of the International Conference "Complex Networks: Structure, Applications and Related Topics (Net-Works 2011)"
  • Autor: Juan Manuel Pastor Ruiz (UPM)
  • Autor: S. Santamaría (Universidad Rey Juan Carlos)
  • Autor: M. Méndez (Universidad Rey Juan Carlos)
  • Autor: Javier Ricardo Galeano Prieto (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Complejos
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)