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Are Nested Networks More Robust to Disturbance? A Test Using Epiphyte-Tree, Comensalistic Networks

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  • Martín Piazzon
  • Asier R Larrinaga
  • Luis Santamaría

Abstract

Recent research on ecological networks suggests that mutualistic networks are more nested than antagonistic ones and, as a result, they are more robust against chains of extinctions caused by disturbances. We evaluate whether mutualistic networks are more nested than comensalistic and antagonistic networks, and whether highly nested, host-epiphyte comensalistic networks fit the prediction of high robustness against disturbance. A review of 59 networks including mutualistic, antagonistic and comensalistic relationships showed that comensalistic networks are significantly more nested than antagonistic and mutualistic networks, which did not differ between themselves. Epiphyte-host networks from old-growth forests differed from those from disturbed forest in several topological parameters based on both qualitative and quantitative matrices. Network robustness increased with network size, but the slope of this relationship varied with nestedness and connectance. Our results indicate that interaction networks show complex responses to disturbances, which influence their topology and indirectly affect their robustness against species extinctions.

Suggested Citation

  • Martín Piazzon & Asier R Larrinaga & Luis Santamaría, 2011. "Are Nested Networks More Robust to Disturbance? A Test Using Epiphyte-Tree, Comensalistic Networks," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-10, May.
  • Handle: RePEc:plo:pone00:0019637
    DOI: 10.1371/journal.pone.0019637
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    1. José M. Gómez & Miguel Verdú & Francisco Perfectti, 2010. "Ecological interactions are evolutionarily conserved across the entire tree of life," Nature, Nature, vol. 465(7300), pages 918-921, June.
    2. Echeverria, Cristian & Coomes, David A. & Hall, Myrna & Newton, Adrian C., 2008. "Spatially explicit models to analyze forest loss and fragmentation between 1976 and 2020 in southern Chile," Ecological Modelling, Elsevier, vol. 212(3), pages 439-449.
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    1. Bogoni, Juliano André & Navarro, Ana Beatriz & Graipel, Maurício Eduardo & Peroni, Nivaldo, 2019. "Modeling the frugivory of a plant with inconstant productivity and solid interaction with relictual vertebrate biota," Ecological Modelling, Elsevier, vol. 408(C), pages 1-1.
    2. Mingxu Zhao & Nalaka Geekiyanage & Jianchu Xu & Myo Myo Khin & Dian Ridwan Nurdiana & Ekananda Paudel & Rhett Daniel Harrison, 2015. "Structure of the Epiphyte Community in a Tropical Montane Forest in SW China," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-19, April.

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