English

Disentangling co-occurrence patterns in n-partite ecosystems

Physics and Society 2018-07-13 v1 Adaptation and Self-Organizing Systems Biological Physics Populations and Evolution

Abstract

The need to harmonise apparently irreconcilable arrangements in an ecosystem --nestedness and segregation-- has triggered so far different strategies. Methodological refinements, or the inclusion of behavioural preferences to the network dynamics offer a limited approach to the problem, since one remains constrained within a 2-dimensional view of an ecosystem, i.e. a presence-absence matrix. Here we question this partial-view paradigm, and show that nestedness and segregation may coexist across a varied range of scenarios. To do so, we rely on an upscaled representation of an ecological community as an nn-partite hypergraph, inspired by Hutchinson's high-dimensional niche concept and the latest trends on ecological multilayer networks. This yields an inclusive description of an ecological system, for which we develop a natural extension of the definition of nestedness to larger dimensional spaces, revealing how competitive exclusion may operate regardless of a highly nested bipartite system.

Keywords

Cite

@article{arxiv.1807.04666,
  title  = {Disentangling co-occurrence patterns in n-partite ecosystems},
  author = {Albert Solé-Ribalta and Claudio J. Tessone and Carlo G. Ferrari and Javier Borge-Holthoefer},
  journal= {arXiv preprint arXiv:1807.04666},
  year   = {2018}
}

Comments

11 pages, 4 figures

R2 v1 2026-06-23T02:59:10.019Z