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  Sustainable use of renewable resources in a stylized social-ecological network model under heterogeneous resource distribution

Barfuss, W., Donges, J. F., Wiedermann, M., Lucht, W. (2017): Sustainable use of renewable resources in a stylized social-ecological network model under heterogeneous resource distribution. - Earth System Dynamics, 8, 2, 255-264.
https://doi.org/10.5194/esd-8-255-2017

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 Creators:
Barfuss, Wolfram1, Author              
Donges, Jonathan Friedemann1, Author              
Wiedermann, Marc1, Author              
Lucht, Wolfgang1, Author              
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1Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Human societies depend on the resources ecosystems provide. Particularly since the last century, human activities have transformed the relationship between nature and society at a global scale. We study this coevolutionary relationship by utilizing a stylized model of private resource use and social learning on an adaptive network. The latter process is based on two social key dynamics beyond economic paradigms: boundedly rational imitation of resource use strategies and homophily in the formation of social network ties. The private and logistically growing resources are harvested with either a sustainable (small) or non-sustainable (large) effort. We show that these social processes can have a profound influence on the environmental state, such as determining whether the private renewable resources collapse from overuse or not. Additionally, we demonstrate that heterogeneously distributed regional resource capacities shift the critical social parameters where this resource extraction system collapses. We make these points to argue that, in more advanced coevolutionary models of the planetary social–ecological system, such socio-cultural phenomena as well as regional resource heterogeneities should receive attention in addition to the processes represented in established Earth system and integrated assessment models.

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 Dates: 2017
 Publication Status: Finally published
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 Identifiers: DOI: 10.5194/esd-8-255-2017
PIKDOMAIN: Earth System Analysis - Research Domain I
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 7208
Working Group: Whole Earth System Analysis
Working Group: Network- and machine-learning-based prediction of extreme events
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Title: Earth System Dynamics
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 8 (2) Sequence Number: - Start / End Page: 255 - 264 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1402282