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- ItemDesign and quality criteria for archetype analysis(Wolfville, Nova Scotia : Resilience Alliance, 2019) Eisenack, Klaus; Villamayor-Tomas, Sergio; Epstein, Graham; Kimmich, Christian; Magliocca, Nicholas; Manuel-Navarrete, David; Oberlack, Christoph; Roggero, Matteo; Sietz, DianaA key challenge in addressing the global degradation of natural resources and the environment is to effectively transfer successful strategies across heterogeneous contexts. Archetype analysis is a particularly salient approach in this regard that helps researchers to understand and compare patterns of (un)sustainability in heterogeneous cases. Archetype analysis avoids traps of overgeneralization and ideography by identifying reappearing but nonuniversal patterns that hold for well-defined subsets of cases. It can be applied by researchers working in inter-or transdisciplinary settings to study sustainability issues from a broad range of theoretical and methodological standpoints. However, there is still an urgent need for quality standards to guide the design of theoretically rigorous and practically useful archetype analyses. To this end, we propose four quality criteria and corresponding research strategies to address them: (1) specify the domain of validity for each archetype, (2) ensure that archetypes can be combined to characterize single cases, (3) explicitly navigate levels of abstraction, and (4) obtain a fit between attribute configurations, theories, and empirical domains of validity. These criteria are based on a stocktaking of current methodological challenges in archetypes research, including: to demonstrate the validity of the analysis, delineate boundaries of archetypes, and select appropriate attributes to define them. We thus contribute to a better common understanding of the approach and to the improvement of the research design of future archetype analyses. © 2019 by the author(s).
- ItemArchetype analysis in sustainability research: meanings, motivations, and evidence-based policy making(Wolfville, Nova Scotia : Resilience Alliance, 2019) Oberlack, Christoph; Sietz, Diana; Bürgi Bonanomi, Elisabeth; de Bremond, Ariane; Dell'Angelo, Jampel; Eisenack, Klaus; Ellis, Erle C.; Epstein, Graham; Giger, Markus; Heinimann, Andreas; Kimmich, Christian; Kok, Marcel TJ; Manuel-Navarrete, David; Messerli, Peter; Meyfroidt, Patrick; Václavík, Tomáš; Villamayor-Tomas, SergioArchetypes 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. © 2019 by the author(s).
- ItemTypology of vulnerability of wheat farmers in Northeast Iran and implications for their adaptive capacity(Philadelphia, Pa : Taylor & Francis, 2019) Nooghabi, Saeedeh Nazari; Fleskens, Luuk; Sietz, Diana; Azadi, HosseinThis study is focused on understanding sources and patterns of vulnerability of wheat smallholder farmers in Northeast Iran. We conducted a farm household survey and recorded multiple environmental and socio-economic attributes of 391 wheat smallholder farmers. A Vulnerability Scoping Diagram and Principal Component Analysis served to identify key factors determining wheat farmer's vulnerability. Also, we performed a cluster analysis to classify wheat farmers into three vulnerability types. Although drought affects all types as main environmental stressor, only for Cluster 2 was it the key vulnerability factor. For Clusters 1 and 3 socio-economic vulnerability components prevailed: for farmers categorized in Cluster 1 land consolidation was the main problem, while the current wheat import policy was the key problem for Cluster 3 farmers. Multiple tailored policies are needed that reduce the vulnerability of wheat farmers in all clusters. Supportive government policies should for example focus on avoiding price distortions from wheat imports for Cluster 3, land consolidation for Cluster 1 and collective tackling of pests and weeds for Cluster 2. Simultaneous provision of farm advisory services will benefit farmers of Clusters 1 and 3, while availability of improved seeds (drought-tolerant varieties) and other inputs will lower the environmental vulnerability of all farmers. © 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.