BPCPPDYSOE21 – scientific programme
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SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 2: Networks and Social Dynamics
SOE 2.5: Talk
Monday, March 22, 2021, 15:20–15:40, SOEa
A physics of governance networks: critical transitions in contagion dynamics on multilayer adaptive networks with application to the sustainable use of renewable resources — •Jonathan Donges1,2, Fabian Geier1, Wolfram Barfuss1,3, and Marc Wiedermann1 — 1Potsdam Institute for Climate Impact Research, Potsdam, Germany — 2Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden — 3School of Mathematics, University of Leeds, Leeds, United Kingdom
Adaptive network models are promising tools to analyze complex interactions in coupled human-economy-nature systems in the context of climate change mitigation and sustainability transformations. Here, we focus on a three-layer adaptive network model, where a polycentric governance network interacts with a social network of resource users which in turn interacts with an ecological network of renewable resources. We uncover that sustainability is favored for slow interaction timescales, large homophilic network adaptation rate (as long it is below the fragmentation threshold) and high taxation rates. We also observe a trade-off between an eco-dictatorship and the polycentric governance network of multiple actors. In the latter setup, sustainability is enhanced for low but hindered for high tax rates compared to the eco-dictatorship case. These results highlight mechanisms generating emergent critical transitions in contagion dynamics on multilayer adaptive networks and show how these can be understood and approximated analytically, relevant for understanding complex adaptive systems from various disciplines ranging from physics to epidemiology.