Archetype analysis in sustainability research: meanings, motivations, and evidence-based policy making

Archetypes are increasingly used as a methodological approach to understand recurrent patterns in variables and processes that shape the sustainability of social-ecological systems. The rapid growth and diversification of archetype analyses has generated variations, inconsistencies, and confusion ab...

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Autores principales:	Christoph Oberlack, Diana Sietz, Elisabeth Bürgi Bonanomi, Ariane de Bremond, Jampel Dell'Angelo, Klaus Eisenack, Erle C. Ellis, Graham Epstein, Markus Giger, Andreas Heinimann, Christian Kimmich, Marcel TJ. Kok, David Manuel-Navarrete, Peter Messerli, Patrick Meyfroidt, Tomá Václavík, Sergio Villamayor-Tomas
Formato:	article
Lenguaje:	EN
Publicado:	Resilience Alliance 2019
Materias:	archetype land systems social-ecological system sustainability vulnerability Biology (General) QH301-705.5 Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/16fc8429fc7441329dc605d029939f1c
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spelling	oai:doaj.org-article:16fc8429fc7441329dc605d029939f1c2021-12-02T11:25:40ZArchetype analysis in sustainability research: meanings, motivations, and evidence-based policy making1708-308710.5751/ES-10747-240226https://doaj.org/article/16fc8429fc7441329dc605d029939f1c2019-07-01T00:00:00Zhttp://www.ecologyandsociety.org/vol24/iss2/art26/https://doaj.org/toc/1708-3087Archetypes are increasingly used as a methodological approach to understand recurrent patterns in variables and processes that shape the sustainability of social-ecological systems. The rapid growth and diversification of archetype analyses has generated variations, inconsistencies, and confusion about the meanings, potential, and limitations of archetypes. Based on a systematic review, a survey, and a workshop series, we provide a consolidated perspective on the core features and diverse meanings of archetype analysis in sustainability research, the motivations behind it, and its policy relevance. We identify three core features of archetype analysis: recurrent patterns, multiple models, and intermediate abstraction. Two gradients help to apprehend the variety of meanings of archetype analysis that sustainability researchers have developed: (1) understanding archetypes as building blocks or as case typologies and (2) using archetypes for pattern recognition, diagnosis, or scenario development. We demonstrate how archetype analysis has been used to synthesize results from case studies, bridge the gap between global narratives and local realities, foster methodological interplay, and transfer knowledge about sustainability strategies across cases. We also critically examine the potential and limitations of archetype analysis in supporting evidence-based policy making through context-sensitive generalizations with case-level empirical validity. Finally, we identify future priorities, with a view to leveraging the full potential of archetype analysis for supporting sustainable development.Christoph OberlackDiana SietzElisabeth Bürgi BonanomiAriane de BremondJampel Dell'AngeloKlaus EisenackErle C. EllisGraham EpsteinMarkus GigerAndreas HeinimannChristian KimmichMarcel TJ. KokDavid Manuel-NavarretePeter MesserliPatrick MeyfroidtTomá VáclavíkSergio Villamayor-TomasResilience Alliancearticlearchetypeland systemssocial-ecological systemsustainabilityvulnerabilityBiology (General)QH301-705.5EcologyQH540-549.5ENEcology and Society, Vol 24, Iss 2, p 26 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	archetype land systems social-ecological system sustainability vulnerability Biology (General) QH301-705.5 Ecology QH540-549.5
spellingShingle	archetype land systems social-ecological system sustainability vulnerability Biology (General) QH301-705.5 Ecology QH540-549.5 Christoph Oberlack Diana Sietz Elisabeth Bürgi Bonanomi Ariane de Bremond Jampel Dell'Angelo Klaus Eisenack Erle C. Ellis Graham Epstein Markus Giger Andreas Heinimann Christian Kimmich Marcel TJ. Kok David Manuel-Navarrete Peter Messerli Patrick Meyfroidt Tomá Václavík Sergio Villamayor-Tomas Archetype analysis in sustainability research: meanings, motivations, and evidence-based policy making
description	Archetypes are increasingly used as a methodological approach to understand recurrent patterns in variables and processes that shape the sustainability of social-ecological systems. The rapid growth and diversification of archetype analyses has generated variations, inconsistencies, and confusion about the meanings, potential, and limitations of archetypes. Based on a systematic review, a survey, and a workshop series, we provide a consolidated perspective on the core features and diverse meanings of archetype analysis in sustainability research, the motivations behind it, and its policy relevance. We identify three core features of archetype analysis: recurrent patterns, multiple models, and intermediate abstraction. Two gradients help to apprehend the variety of meanings of archetype analysis that sustainability researchers have developed: (1) understanding archetypes as building blocks or as case typologies and (2) using archetypes for pattern recognition, diagnosis, or scenario development. We demonstrate how archetype analysis has been used to synthesize results from case studies, bridge the gap between global narratives and local realities, foster methodological interplay, and transfer knowledge about sustainability strategies across cases. We also critically examine the potential and limitations of archetype analysis in supporting evidence-based policy making through context-sensitive generalizations with case-level empirical validity. Finally, we identify future priorities, with a view to leveraging the full potential of archetype analysis for supporting sustainable development.
format	article
author	Christoph Oberlack Diana Sietz Elisabeth Bürgi Bonanomi Ariane de Bremond Jampel Dell'Angelo Klaus Eisenack Erle C. Ellis Graham Epstein Markus Giger Andreas Heinimann Christian Kimmich Marcel TJ. Kok David Manuel-Navarrete Peter Messerli Patrick Meyfroidt Tomá Václavík Sergio Villamayor-Tomas
author_facet	Christoph Oberlack Diana Sietz Elisabeth Bürgi Bonanomi Ariane de Bremond Jampel Dell'Angelo Klaus Eisenack Erle C. Ellis Graham Epstein Markus Giger Andreas Heinimann Christian Kimmich Marcel TJ. Kok David Manuel-Navarrete Peter Messerli Patrick Meyfroidt Tomá Václavík Sergio Villamayor-Tomas
author_sort	Christoph Oberlack
title	Archetype analysis in sustainability research: meanings, motivations, and evidence-based policy making
title_short	Archetype analysis in sustainability research: meanings, motivations, and evidence-based policy making
title_full	Archetype analysis in sustainability research: meanings, motivations, and evidence-based policy making
title_fullStr	Archetype analysis in sustainability research: meanings, motivations, and evidence-based policy making
title_full_unstemmed	Archetype analysis in sustainability research: meanings, motivations, and evidence-based policy making
title_sort	archetype analysis in sustainability research: meanings, motivations, and evidence-based policy making
publisher	Resilience Alliance
publishDate	2019
url	https://doaj.org/article/16fc8429fc7441329dc605d029939f1c
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Archetype analysis in sustainability research: meanings, motivations, and evidence-based policy making

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