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Breaking down Complex Saproxylic Communities: Understanding Sub-Networks Structure and Implications to Network Robustness

Saproxylic insect communities inhabiting tree hollow microhabitats correspond with large food webs which simultaneously are constituted by multiple types of plant-animal and animal-animal interactions, according to the use of trophic resources (wood- and insect-dependent sub-networks), or to trophic...

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Autores principales: Quinto, Javier, Marcos-García, Ma. Ángeles, Díaz-Castelazo, Cecilia, Rico-Gray, Víctor, Brustel, Hervé, Galante, Eduardo, Micó, Estefanía
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3460928/
https://www.ncbi.nlm.nih.gov/pubmed/23028763
http://dx.doi.org/10.1371/journal.pone.0045062
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author Quinto, Javier
Marcos-García, Ma. Ángeles
Díaz-Castelazo, Cecilia
Rico-Gray, Víctor
Brustel, Hervé
Galante, Eduardo
Micó, Estefanía
author_facet Quinto, Javier
Marcos-García, Ma. Ángeles
Díaz-Castelazo, Cecilia
Rico-Gray, Víctor
Brustel, Hervé
Galante, Eduardo
Micó, Estefanía
author_sort Quinto, Javier
collection PubMed
description Saproxylic insect communities inhabiting tree hollow microhabitats correspond with large food webs which simultaneously are constituted by multiple types of plant-animal and animal-animal interactions, according to the use of trophic resources (wood- and insect-dependent sub-networks), or to trophic habits or interaction types (xylophagous, saprophagous, xylomycetophagous, predators and commensals). We quantitatively assessed which properties of specialised networks were present in a complex networks involving different interacting types such as saproxylic community, and how they can be organised in trophic food webs. The architecture, interacting patterns and food web composition were evaluated along sub-networks, analysing their implications to network robustness from random and directed extinction simulations. A structure of large and cohesive modules with weakly connected nodes was observed throughout saproxylic sub-networks, composing the main food webs constituting this community. Insect-dependent sub-networks were more modular than wood-dependent sub-networks. Wood-dependent sub-networks presented higher species degree, connectance, links, linkage density, interaction strength, and were less specialised and more aggregated than insect-dependent sub-networks. These attributes defined high network robustness in wood-dependent sub-networks. Finally, our results emphasise the relevance of modularity, differences among interacting types and interrelations among them in modelling the structure of saproxylic communities and in determining their stability.
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spelling pubmed-34609282012-10-01 Breaking down Complex Saproxylic Communities: Understanding Sub-Networks Structure and Implications to Network Robustness Quinto, Javier Marcos-García, Ma. Ángeles Díaz-Castelazo, Cecilia Rico-Gray, Víctor Brustel, Hervé Galante, Eduardo Micó, Estefanía PLoS One Research Article Saproxylic insect communities inhabiting tree hollow microhabitats correspond with large food webs which simultaneously are constituted by multiple types of plant-animal and animal-animal interactions, according to the use of trophic resources (wood- and insect-dependent sub-networks), or to trophic habits or interaction types (xylophagous, saprophagous, xylomycetophagous, predators and commensals). We quantitatively assessed which properties of specialised networks were present in a complex networks involving different interacting types such as saproxylic community, and how they can be organised in trophic food webs. The architecture, interacting patterns and food web composition were evaluated along sub-networks, analysing their implications to network robustness from random and directed extinction simulations. A structure of large and cohesive modules with weakly connected nodes was observed throughout saproxylic sub-networks, composing the main food webs constituting this community. Insect-dependent sub-networks were more modular than wood-dependent sub-networks. Wood-dependent sub-networks presented higher species degree, connectance, links, linkage density, interaction strength, and were less specialised and more aggregated than insect-dependent sub-networks. These attributes defined high network robustness in wood-dependent sub-networks. Finally, our results emphasise the relevance of modularity, differences among interacting types and interrelations among them in modelling the structure of saproxylic communities and in determining their stability. Public Library of Science 2012-09-28 /pmc/articles/PMC3460928/ /pubmed/23028763 http://dx.doi.org/10.1371/journal.pone.0045062 Text en © 2012 Quinto et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Quinto, Javier
Marcos-García, Ma. Ángeles
Díaz-Castelazo, Cecilia
Rico-Gray, Víctor
Brustel, Hervé
Galante, Eduardo
Micó, Estefanía
Breaking down Complex Saproxylic Communities: Understanding Sub-Networks Structure and Implications to Network Robustness
title Breaking down Complex Saproxylic Communities: Understanding Sub-Networks Structure and Implications to Network Robustness
title_full Breaking down Complex Saproxylic Communities: Understanding Sub-Networks Structure and Implications to Network Robustness
title_fullStr Breaking down Complex Saproxylic Communities: Understanding Sub-Networks Structure and Implications to Network Robustness
title_full_unstemmed Breaking down Complex Saproxylic Communities: Understanding Sub-Networks Structure and Implications to Network Robustness
title_short Breaking down Complex Saproxylic Communities: Understanding Sub-Networks Structure and Implications to Network Robustness
title_sort breaking down complex saproxylic communities: understanding sub-networks structure and implications to network robustness
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3460928/
https://www.ncbi.nlm.nih.gov/pubmed/23028763
http://dx.doi.org/10.1371/journal.pone.0045062
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