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  Archetype analysis in sustainability research: methodological portfolio and analytical frontiers

Sietz, D., Frey, U., Roggero, M., Gong, Y., Magliocca, N., Tan, R., Janssen, P., Vaclavik, T. (2019): Archetype analysis in sustainability research: methodological portfolio and analytical frontiers. - Ecology and Society, 24, 3, 34.
https://doi.org/10.5751/ES-11103-240334

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 Creators:
Sietz, Diana1, Author              
Frey, U.2, Author
Roggero, M.2, Author
Gong, Y.2, Author
Magliocca, N.2, Author
Tan, R.2, Author
Janssen, P.2, Author
Vaclavik, T.2, Author
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: In sustainability research, archetype analysis reveals patterns of factors and processes that repeatedly shape social-ecological systems. These patterns help improve our understanding of global concerns, including vulnerability, land management, food security, and governance. During the last decade, the portfolio of methods used to investigate archetypes has been growing rapidly. However, these methods differ widely in their epistemological and normative underpinnings, data requirements, and suitability to address particular research purposes. Therefore, guidance is needed for systematically choosing methods in archetype analysis. We synthesize strengths and weaknesses of key methods used to identify archetypes. Demonstrating that there is no “one-size-fits-all” approach, we discuss advantages and shortcomings of a range of methods for archetype analysis in sustainability research along gradients that capture the treatment of causality, normativity, spatial variations, and temporal dynamics. Based on this discussion, we highlight seven analytical frontiers that bear particular potential for tackling methodological limitations. As a milestone in archetype analysis, our synthesis supports researchers in reflecting on methodological implications, including opportunities and limitations related to causality, normativity, space, and time considerations in view of specific purposes and research questions. This enables innovative research designs in future archetype analysis, thereby contributing to the advancement of sustainability research and decision-making.

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 Dates: 2019
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.5751/ES-11103-240334
PIKDOMAIN: RD1 - Earth System Analysis
eDoc: 8619
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Policy Advice
Research topic keyword: Land use
Research topic keyword: Inequality and Equity
Research topic keyword: Sustainable Development
Model / method: Nonlinear Data Analysis
Model / method: Qualitative Methods
Model / method: Transfer (Knowledge&Technology)
Regional keyword: Global
Regional keyword: Africa
Organisational keyword: RD1 - Earth System Analysis
Working Group: Ecosystems in Transition
 Degree: -

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Title: Ecology and Society
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 24 (3) Sequence Number: 34 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/201606291