Browsing by Author "Václavík, T."

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    Archetype analysis in sustainability research: Methodological portfolio and analytical frontiers
    (Stockholm : Resilience Alliance, 2019) Sietz, D.; Frey, U.; Roggero, M.; Gong, Y.; Magliocca, N.; Tan, R.; Janssen, P.; Václavík, T.
    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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    The LEGATO cross-disciplinary integrated ecosystem service research framework: an example of integrating research results from the analysis of global change impacts and the social, cultural and economic system dynamics of irrigated rice production
    (Heidelberg : Springer Verlag, 2017) Spangenberg, J.H.; Beaurepaire, A.L.; Bergmeier, E.; Burkhard, B.; van Chien, H.; Cuong, L.Q.; Görg, C.; Grescho, V.; Hai, L.H.; Heong, K.L.; Horgan, F.G.; Hotes, S.; Klotzbücher, A.; Klotzbücher, T.; Kühn, I.; Langerwisch, F.; Marion, G.; Moritz, R.F.A.; Nguyen, Q.A.; Ott, J.; Sann, C.; Sattler, C.; Schädler, M.; Schmidt, A.; Tekken, V.; Thanh, T.D.; Thonicke, K.; Türke, M.; Václavík, T.; Vetterlein, D.; Westphal, C.; Wiemers, M.; Settele, J.
    In a cross-disciplinary project (LEGATO) combining inter- and transdisciplinary methods, we quantify the dependency of rice-dominated socio-ecological systems on ecosystem functions (ESF) and the ecosystem services (ESS) the integrated system provides. In the collaboration of a large team including geo- and bioscientists, economists, political and cultural scientists, the mutual influences of the biological, climate and soil conditions of the agricultural area and its surrounding natural landscape have been analysed. One focus was on sociocultural and economic backgrounds, another on local as well as regional land use intensity and biodiversity, and the potential impacts of future climate and land use change. LEGATO analysed characteristic elements of three service strands defined by the Millennium Ecosystem Assessment (MA): (a) provisioning services: nutrient cycling and crop production; (b) regulating services: biocontrol and pollination; and (c) cultural services: cultural identity and aesthetics. However, in line with much of the current ESS literature, what the MA called supporting services is treated as ESF within LEGATO. As a core output, LEGATO developed generally applicable principles of ecological engineering (EE), suitable for application in the context of future climate and land use change. EE is an emerging discipline, concerned with the design, monitoring and construction of ecosystems and aims at developing strategies to optimise ecosystem services through exploiting natural regulation mechanisms instead of suppressing them. Along these lines LEGATO also aims to create the knowledge base for decision-making for sustainable land management and livelihoods, including the provision of the corresponding governance and management strategies, technologies and system solutions.