Navigating the Water-Energy Governance Landscape and Climate Change Adaptation Strategies in the Northern Patagonia Region of Argentina

Water scientists often find themselves interacting with decision-makers with varying levels of technical background. The sustainable management of water resources is complex by nature, and future conditions are highly uncertain, requiring modeling approaches capable of accommodating a variety of par...

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Bibliographic Details
Published in:	Water (Basel) 2018-06, Vol.10 (6), p.794
Main Authors:	Forni, Laura, Escobar, Marisa, Cello, Pablo, Marizza, Marta, Nadal, Gustavo, Girardin, Leonidas, Losano, Fernando, Bucciarelli, Lisandro, Young, Charles, Purkey, David
Format:	Article
Language:	eng
Subjects:	Adaptation Agricultural management Climate change Climate change adaptation Climate models Computer simulation decision-making support Frameworks Governance Hydroelectric power Landscape Modelling modelling tools Parameter uncertainty visualization water governance Water resources Water resources management
Online Access:	Get full text
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Summary:	Water scientists often find themselves interacting with decision-makers with varying levels of technical background. The sustainable management of water resources is complex by nature, and future conditions are highly uncertain, requiring modeling approaches capable of accommodating a variety of parameters and scenarios. Technical findings from these analyses need to be positioned and conducted within the governance institutions to ensure decision-makers utilize them. This paper examines the water resource challenges for a large basin in northern Patagonia, Argentina and utilizes the Robust Decision Support (RDS) framework to evaluate trade-offs and strategies in a participatory process that included researchers and decision-makers. Integrated water resources models using simulation modeling and decision space visualization show significant climate change impacts, which are augmented with irrigated agriculture expansion and increasing hydropower production.
ISSN:	2073-4441 2073-4441