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Breaking down Complex Saproxylic Communities: Understanding Sub-Networks Structure and Implications to Network Robustness
Authors:Javier Quinto  Ma ángeles Marcos-García  Cecilia Díaz-Castelazo  Víctor Rico-Gray  Hervé Brustel  Eduardo Galante  Estefanía Micó
Institution:1. Centro Iberoamericano de la Biodiversidad CIBIO, Universidad de Alicante, Alicante, España.; 2. Instituto de Ecología, A.C. Xalapa, Veracruz, México.; 3. Université de Toulouse, École d’Ingénieurs de Purpan, INPT, Toulouse, France.; University of Arizona, United States of America,
Abstract: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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