Title: | Community structures in allelopathic interaction networks: An ecoevolutionary approach |
Address: | "Departamento de Fisica, Universidade Federal de Vicosa, 36570-900, Vicosa, Minas Gerais, Brazil. IFMG, Campus Formiga, 35577-010, Formiga, Minas Gerais, Brazil. National Institute of Science and technology for Complex Systems, Centro Brasileiro de Pesquisas Fisicas, Rua Xavier Sigaud 150, 22290-180, Rio de Janeiro, Brazil. Ibitipoca Institute of Physics (IbitiPhys), 36140-000-Conceicao do Ibitipoca-MG, Brazil" |
DOI: | 10.1103/PhysRevE.102.042305 |
ISSN/ISBN: | 2470-0053 (Electronic) 2470-0045 (Linking) |
Abstract: | "Evidence is mounting that the race of living organisms for adaptation to the chemicals synthesized by their neighbors may drive community structures. Here, an ecoevolutionary model for community assembly through resource competition, toxin-mediated interactions (allelopathy), and evolutionary branching is investigated. We found that stable communities with increasing biodiversity can emerge at weak allelopathic suppression, but strong chemical warfare drastically impairs diversity. For successive invasion events, the allelopathic interaction networks exhibit, respectively, Gaussian and Weibull degree distributions at weak and strong allelopathy. For the branching process dynamics, degrees scale as power laws truncated by stretched exponentials in both regimes. In addition, allelochemical interactions tend to be arranged in modules with low clustering coefficients and disassortative behavior to ensure community stability. So, in a homogeneous environment, species-rich communities can be assembled only at the context of a weak biochemical warfare between organisms, and even under this regime species interact with only a few others" |
Keywords: | "*Allelopathy Biodiversity *Evolution, Molecular *Models, Biological Normal Distribution Pheromones/metabolism;" |
Notes: | "MedlineCarvalho, S A Martins, M L eng 2020/11/21 Phys Rev E. 2020 Oct; 102(4-1):042305. doi: 10.1103/PhysRevE.102.042305" |