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- Resumen es exacto "Over the next few decades, coastal cities and deltas will be subject to both impacts of climate change and population growth. Decision makers will have to face a context of uncertainty, generating robust and flexible strategies to adapt for these unforeseen futures. This thesis’ case study is the Paraná River Delta, in Argentina, one of the largest wetland systems in the world. Due to the characteristics of its soils and its proximity to the Buenos Aires Agglomeration, this territory faces two major pressures: productive and urban development. So, is it possible to change the region’s current paradigm, linking the productive sector with urban developments, while guaranteeing a participatory process that prepares the inhabitants for the upcoming climate challenges? In response to this question, this thesis proposes to implement Adaptive Delta Planning using Dynamic Adaptive Policy Pathways (DAPP) to develop a Decision Support System (DSS). To accomplish this, interviews with experts and four workshops were held, in which two methodological approaches were tested searching the format that best suited the local context. These participatory activities allowed the acknowledgment of stakeholders’ preferences for their Delta 2050 vision, the selection of actions to achieve these objectives and the identification of drawbacks that arise from a participatory planning process. With the information collected in these activities, the bases for the construction of an SSD tool were outlined. Subsequently, a dashboard that would allow decision-makers to select actions, indicators and parameters that materialize their vision for the Delta 2050 by means of a dynamic route map, was developed. Finally, this study proposes a series of recommendations, both in the execution of the workshops and in the methodology itself, in order to adequate it to the local context. With these objectives, it was proposed to adapt the methodology for systems with dynamic edge conditions, to divide it into two stages to adjust it to systems with poor initial circumstances and to modify it so that it can be fine-tuned to cases with multiple decision-makers."
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