From math to metaphors and back again: Social-ecological resilience from a multi-agent-environment perspective

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Date
2017
Volume
26
Issue
S1
Journal
Series Titel
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Publisher
München : ÖKOM-Verlag
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Abstract

Science and policy stand to benefit from reconnecting the many notions of social-ecological resilience to their roots in complexity sciences.We propose several ways of moving towards operationalization through the classification of modern concepts of resilience based on a multi-agent-environment perspective.

Social-ecological resilience underlies popular sustainability concepts that have been influential in formulating the United Nations Sustainable Development Goals (SDGs), such as the Planetary Boundaries and Doughnut Economics. Scientific investigation of these concepts is supported by mathematical models of planetary biophysical and societal dynamics, both of which call for operational measures of resilience. However, current quantitative descriptions tend to be restricted to the foundational form of the concept: persistence resilience. We propose a classification of modern notions of social-ecological resilience from a multi-agent-environment perspective. This aims at operationalization in a complex systems framework, including the persistence, adaptation and transformation aspects of resilience, normativity related to desirable system function, first- vs. second-order and specific vs. general resilience. For example, we discuss the use of the Topology of Sustainable Management Framework. Developing the mathematics of resilience along these lines would not only make social-ecological resilience more applicable to data and models, but could also conceptually advance resilience thinking.

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Keywords
Complex systems perspective, mathematical operationalization, multi-agent-environment systems, planetary boundaries, safe operating space for humanity, social-ecological resilience
Citation
Donges, J. F., & Barfuss, W. (2017). From math to metaphors and back again: Social-ecological resilience from a multi-agent-environment perspective. 26(S1). https://doi.org//10.14512/gaia.26.S1.5
License
CC BY 3.0 Unported