Berlin 2018 – scientific programme
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BP: Fachverband Biologische Physik
BP 22: Computational Biophysics II
BP 22.8: Talk
Wednesday, March 14, 2018, 17:00–17:15, H 1058
Trade-off shapes diversity in eco-evolutionary dynamics — •Farnoush Farahpour1, Mohammadkarim Saeedghalati1, and Daniel Hoffmann1,2,3 — 1Bioinformatics and Computational Biophysics, Uni. Duisburg-Essen, DE — 2CCSS, Uni. Duisburg-Essen, DE — 3ZMB, Uni. Duisburg-Essen, DE
Over the last decades one of the main drivers of research in biodiversity has been to explain the naturally observed diversity and coexistence of competing species specially in well-mixed systems. In this project we propose a simple solutions for paradoxical question of diversity in competitive communities in a bare-bone and generic model. We introduce an Interaction and Trade-off based Eco-Evolutionary Model (ITEEM), in which species are competing for resources 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 strength 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 without further ad hoc features a remarkable range of observed patterns of eco-evolutionary dynamics. Most notably we find self-organization towards structured communities with high and sustainable diversity, in which competing species form interaction cycles similar to rock-paper-scissors games. Our approach to study the role of trade-offs in diversity provides a general framework to study assembly process of competitive communities and investigate the mechanisms responsible for resistance and resilience of their networks.