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Now showing 1 - 6 of 6
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    Design 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, Diana
    A 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).
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    Archetype 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, Sergio
    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. © 2019 by the author(s).
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    Avenues of archetype analysis: roots, achievements, and next steps in sustainability research
    (Wolfville, Nova Scotia : Resilience Alliance, 2021) Eisenack, Klaus; Oberlack, Christoph; Sietz, Diana
    Recent years have seen a proliferation of studies that use archetype analysis to better understand and to foster transitions toward sustainability. This growing literature reveals a common methodological ground, as well as a variety of perspectives and practices. In this paper, we provide an historical overview of the roots of archetype analysis from ancient philosophy to recent sustainability science. We thereby derive core features of the archetype approach, which we frame by eight propositions. We then introduce the Special Feature, “Archetype Analysis in Sustainability Research,” which offers a consolidated understanding of the approach, a portfolio of methods, and quality criteria, as well as cutting-edge applications. By reflecting on the Special Feature’s empirical and methodological contributions, we hope that the showcased advances, exemplary applications, and conceptual clarifications will help to design future research that contributes to collaborative learning on archetypical patterns leading toward sustainability. The paper concludes with an outlook highlighting central directions for the next wave of archetype analyses.
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    Typology 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, Hossein
    This 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.
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    Advances in Understanding and Managing Catastrophic Ecosystem Shifts in Mediterranean Ecosystems
    (Lausanne : Frontiers Media, 2020) van den Elsen, Erik; Stringer, Lindsay C.; De Ita, Cecilia; Hessel, Rudi; Kéfi, Sonia; Schneider, Florian D.; Bautista, Susana; Mayor, Angeles G.; Baudena, Mara; Rietkerk, Max; Valdecantos, Alejandro; Vallejo, Victoriano R.; Geeson, Nichola; Brandt, C. Jane; Fleskens, Luuk; Hemerik, Lia; Panagos, Panos; Valente, Sandra; Keizer, Jan J.; Schwilch, Gudrun; Jucker Riva, Matteo; Sietz, Diana; Christoforou, Michalakis; Hadjimitsis, Diofantos G.; Papoutsa, Christiana; Quaranta, Giovanni; Salvia, Rosanna; Tsanis, Ioannis K.; Daliakopoulos, Ioannis; Claringbould, Heleen; de Ruiter, Peter C.
    One of the most challenging issues in Mediterranean ecosystems to date has been to understand the emergence of discontinuous changes or catastrophic shifts. In the era of the 2030 Sustainable Development Goals, which encompass ideas around Land Degradation Neutrality, advancing this understanding has become even more critical and urgent. The aim of this paper is to synthesize insights into the drivers, processes and management of catastrophic shifts to highlight ways forward for the management of Mediterranean ecosystems. We use a multidisciplinary approach that extends beyond the typical single site, single scale, single approach studies in the current literature. We link applied and theoretical ecology at multiple scales with analyses and modeling of human–environment–climate relations and stakeholder engagement in six field sites in Mediterranean ecosystems to address three key questions: How do major degradation drivers affect ecosystem functioning and services in Mediterranean ecosystems? What processes happen in the soil and vegetation during a catastrophic shift? How can management of vulnerable ecosystems be optimized using these findings? Drawing together the findings from the use of different approaches allows us to address the whole pipeline of changes from drivers through to action. We highlight ways to assess ecosystem vulnerability that can help to prevent ecosystem shifts to undesirable states; identify cost-effective management measures that align with the vision and plans of land users; and evaluate the timing of these measures to enable optimization of their application before thresholds are reached. Such a multidisciplinary approach enables improved identification of early warning signals for discontinuous changes informing more timely and cost-effective management, allowing anticipation of, adaptation to, or even prevention of, undesirable catastrophic ecosystem shifts. © Copyright © 2020 van den Elsen, Stringer, De Ita, Hessel, Kéfi, Schneider, Bautista, Mayor, Baudena, Rietkerk, Valdecantos, Vallejo, Geeson, Brandt, Fleskens, Hemerik, Panagos, Valente, Keizer, Schwilch, Jucker Riva, Sietz, Christoforou, Hadjimitsis, Papoutsa, Quaranta, Salvia, Tsanis, Daliakopoulos, Claringbould and de Ruiter.
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    Typology of coastal urban vulnerability under rapid urbanization
    (San Francisco, California, US : PLOS, 2020) Sterze, Till; Lüdeke, Matthias K.B.; Walther, Carsten; Kok, Marcel T.; Sietz, Diana; Lucas, Paul L.
    Coastal areas are urbanizing at unprecedented rates, particularly in low- and middle-income countries. Combinations of long-standing and emerging problems in these urban areas generate vulnerability for human well-being and ecosystems alike. This baseline study provides a spatially explicit global systematization of these problems into typical urban vulnerability profiles for the year 2000 using largely sub-national data. Using 11 indicator datasets for urban expansion, urban population growth, marginalization of poor populations, government effectiveness, exposures and damages to climate-related extreme events, low-lying settlement, and wetlands prevalence, a cluster analysis reveals a global typology of seven clearly distinguishable clusters, or urban profiles of vulnerability. Each profile is characterized by a specific data-value combination of indicators representing mechanisms that generate vulnerability. Using 21 studies for testing the plausibility, we identify seven key profile-based vulnerabilities for urban populations, which are relevant in the context of global urbanization, expansion, and climate change. We show which urban coasts are similar in this regard. Sensitivity and exposure to extreme climate-related events, and government effectiveness, are the most important factors for the huge asymmetries of vulnerability between profiles. Against the background of underlying global trends we propose entry points for profile-based vulnerability reduction. The study provides a baseline for further pattern analysis in the rapidly urbanizing coastal fringe as data availability increases. We propose to explore socio-ecologically similar coastal urban areas as a basis for sharing experience and vulnerability-reducing measures among them.