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Memorias de investigación
Artículos en revistas:
Effects of topology on robustness in ecological bipartite networks
Año:2012
Áreas de investigación
  • Física química y matemáticas
Datos
Descripción
High robustness of complex ecological systems in the face of species extinction has been hypothesized based on the redundancy in species. We explored how differences in network topology may affect robustness. Ecological bipartite networks used to be small, asymmetric and sparse matrices. We created synthetic networks to study the influence of the properties of network dimensions asymmetry, connectance and type of degree distribution on network robustness. We used two extinction strategies: node extinction and link extinction, and three extinction sequences differing in the order of species removal (least-to-most connected, random, most-to-least connected). We assessed robustness to extinction of simulated networks, which differed in one of the three topological features. Simulated networks indicated that robustness decreases when (a) extinction involved those nodes belonging to the most species-rich guild and (b) networks had lower 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.
Internacional
Si
JCR del ISI
Si
Título de la revista
Networks And Heterogeneous Media
ISSN
1556-1801
Factor de impacto JCR
0,658
Información de impacto
Volumen
7
DOI
10.3934/nhm.2012.7.429
Número de revista
3
Desde la página
429
Hasta la página
440
Mes
SEPTIEMBRE
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Participantes
  • Autor: Juan Manuel Pastor Ruiz (UPM)
  • Autor: Silvia Santamaria (Universidad Rey Juan Carlos)
  • Autor: Marcos Méndez (Universidad Rey Juan Carlos)
  • Autor: Javier Ricardo Galeano Prieto (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Sistemas Complejos
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