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Analysis and assembling of network structure in mutualistic systems

2007/01/09 by Diego Medán, Diego Medan, Roberto P. J. Perazzo +7
Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · #Insect and Arachnid Ecology and Behavior #Plant Parasitism and Resistance #Plant and animal studies #q-bio.PE

paper · pdf · doi:10.1016/j.jtbi.2006.12.033

published as Journal of Theoretical Biology 246 (2007) 510-521 · J. of. Theor. Biology, in press

openalex publication_date 2007/01/09 · arxiv created 2007/01/18 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

It has been observed that mutualistic bipartite networks have a nested structure of interactions. In addition, the degree distributions associated with the two guilds involved in such networks (e.g. plants & pollinators or plants & seed dispersers) approximately follow a truncated power law. We show that nestedness and truncated power law distributions are intimately linked, and that any biological reasons for such truncation are superimposed to finite size effects . We further explore the internal organization of bipartite networks by developing a self-organizing network model (SNM) that reproduces empirical observations of pollination systems of widely different sizes. Since the only inputs to the SNM are numbers of plant and animal species, and their interactions (i.e., no data on local abundance of the interacting species are needed), we suggest that the well-known association between species frequency of interaction and species degree is a consequence rather than a cause, of the observed network structure.

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