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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).
- ItemSynthesizing plausible futures for biodiversity and ecosystem services in europe and central asia using scenario archetypes(Wolfville, Nova Scotia : Resilience Alliance, 2019) Harrison, Paula A.; Harmáčková, Zuzana V.; Karabulut, Armağan Aloe; Brotons, Lluis; Cantele, Matthew; Claudet, Joachim; Dunford, Robert W.; Guisan, Antoine; Holman, Ian P.; Jacobs, Sander; Kok, Kasper; Lobanova, Anastasia; Morán-Ordóñez, Alejandra; Pedde, Simona; Rixen, Christian; Santos-Martín, Fernando; Schlaepfer, Martin A.; Solidoro, Cosimo; Sonrel, Anthony; Hauck, JenniferScenarios are a useful tool to explore possible futures of social-ecological systems. The number of scenarios has increased dramatically over recent decades, with a large diversity in temporal and spatial scales, purposes, themes, development methods, and content. Scenario archetypes generically describe future developments and can be useful in meaningfully classifying scenarios, structuring and summarizing the overwhelming amount of information, and enabling scientific outputs to more effectively interface with decision-making frameworks. The Intergovernmental Platform for Biodiversity and Ecosystem Services (IPBES) faced this challenge and used scenario archetypes in its assessment of future interactions between nature and society. We describe the use of scenario archetypes in the IPBES Regional Assessment of Europe and Central Asia. Six scenario archetypes for the region are described in terms of their driver assumptions and impacts on nature (including biodiversity) and its contributions to people (including ecosystem services): Business-as-usual, economic optimism, regional competition, regional sustainability, global sustainable development, and inequality. The analysis shows that trade-offs between nature’s contributions to people are projected under different scenario archetypes. However, the means of resolving these trade-offs depend on differing political and societal value judgements within each scenario archetype. Scenarios that include proactive decision making on environmental issues, environmental management approaches that support multifunctionality, and mainstreaming environmental issues across sectors, are generally more successful in mitigating tradeoffs than isolated environmental policies. Furthermore, those scenario archetypes that focus on achieving a balanced supply of nature’s contributions to people and that incorporate a diversity of values are estimated to achieve more policy goals and targets, such as the UN Sustainable Development Goals and the Convention on Biological Diversity Aichi targets. The scenario archetypes approach is shown to be helpful in supporting science-policy dialogue for proactive decision making that anticipates change, mitigates undesirable trade-offs, and fosters societal transformation in pursuit of sustainable development. © 2019 by the author(s).