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A more dynamic understanding of human behaviour for the Anthropocene
Stockholm University, Faculty of Science, Stockholm Resilience Centre. The Royal Swedish Academy of Sciences, Sweden.ORCID iD: 0000-0001-7628-4829
Stockholm University, Faculty of Science, Stockholm Resilience Centre. The Royal Swedish Academy of Sciences, Sweden.ORCID iD: 0000-0003-4089-1509
Stockholm University, Faculty of Science, Stockholm Resilience Centre. The Royal Swedish Academy of Sciences, Sweden.
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Number of Authors: 102019 (English)In: Nature Sustainability, E-ISSN 2398-9629, Vol. 2, no 12, p. 1075-1082Article, review/survey (Refereed) Published
Abstract [en]

Human behaviour is of profound significance in shaping pathways towards sustainability. Yet, the approach to understanding human behaviour in many fields remains reliant on overly simplistic models. For a better understanding of the interface between human behaviour and sustainability, we take work in behavioural economics and cognitive psychology as a starting point, but argue for an expansion of this work by adopting a more dynamic and systemic understanding of human behaviour, that is, as part of complex adaptive systems. A complex adaptive systems approach allows us to capture behaviour as ''enculturated' and 'enearthed', co-evolving with socio-cultural and biophysical contexts. Connecting human behaviour and context through a complex adaptive systems lens is critical to inform environmental governance and management for sustainability, and ultimately to better understand the dynamics of the Anthropocene itself.

Place, publisher, year, edition, pages
2019. Vol. 2, no 12, p. 1075-1082
National Category
Earth and Related Environmental Sciences Social and Economic Geography
Identifiers
URN: urn:nbn:se:su:diva-177600DOI: 10.1038/s41893-019-0419-7ISI: 000502144200005OAI: oai:DiVA.org:su-177600DiVA, id: diva2:1385032
Available from: 2020-01-13 Created: 2020-01-13 Last updated: 2020-03-04Bibliographically approved

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Schill, CarolineLindahl, ThereseFolke, CarlCrépin, Anne-SophieNorberg, JonSchlüter, Maja
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