| Literature DB >> 30117415 |
Farnoush Farahpour1, Mohammadkarim Saeedghalati1, Verena S Brauer2, Daniel Hoffmann1,3,4,5.
Abstract
We introduce an Interaction- and Trade-off-based Eco-Evolutionary Model (ITEEM), in which species are competing in a well-mixed system, and their evolution in interaction trait space is subject to a life-history trade-off between replication rate and competitive ability. We demonstrate that the shape of the trade-off has a fundamental impact on eco-evolutionary dynamics, as it imposes four phases of diversity, including a sharp phase transition. Despite its minimalism, ITEEM produces a remarkable range of patterns of eco-evolutionary dynamics that are observed in experimental and natural systems. Most notably we find self-organization towards structured communities with high and sustained diversity, in which competing species form interaction cycles similar to rock-paper-scissors games.Entities:
Keywords: competition; computational biology; diversity and coexistence; eco-evolutionary model; ecology; evolving interaction network; iInteraction space; none; systems biology; trade-off
Mesh:
Year: 2018 PMID: 30117415 PMCID: PMC6126925 DOI: 10.7554/eLife.36273
Source DB: PubMed Journal: Elife ISSN: 2050-084X Impact factor: 8.140