2016
DOI: 10.1016/j.envsoft.2016.03.014
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An uncertain future, deep uncertainty, scenarios, robustness and adaptation: How do they fit together?

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Cited by 345 publications
(270 citation statements)
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References 99 publications
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“…As illustrated in Chapters 8, 14 and 15, the report clearly recognises the need for social and political perspectives, as well as technical perspectives for effective adaptation to climate change. Such consideration of multiple perspectives requires careful attention to the: (i) progression of drivers-e.g., sea level rise, rainfall, GDP, urbanisation-that constitute the context in which adaptation happens; (ii) uncertainties attached to the projection of the drivers in the future scenarios; (iii) robustness of adaptation measures in the future across scenarios [23].…”
Section: Contemporary Adaptation Planning Perspectivesmentioning
confidence: 99%
“…As illustrated in Chapters 8, 14 and 15, the report clearly recognises the need for social and political perspectives, as well as technical perspectives for effective adaptation to climate change. Such consideration of multiple perspectives requires careful attention to the: (i) progression of drivers-e.g., sea level rise, rainfall, GDP, urbanisation-that constitute the context in which adaptation happens; (ii) uncertainties attached to the projection of the drivers in the future scenarios; (iii) robustness of adaptation measures in the future across scenarios [23].…”
Section: Contemporary Adaptation Planning Perspectivesmentioning
confidence: 99%
“…Given that scenarios have become a typical means for quantifying uncertainty in the face of multiple plausible futures (Maier et al 2016), there are also strong links between the concepts of deep uncertainty, robustness and scenario planning. The latter is a decision-making tool that, since the 1990s has enjoyed a resurgence in popularity.…”
Section: Deep Uncertaintymentioning
confidence: 99%
“…Recent literature suggests that there has been a paradigm shift away from seeking decisions that are necessarily 'optimal', and instead to decisions that are 'robust' in the context of 'deep uncertainty' (Groves and Lempert 2007;Kalra et al 2014;Maier et al 2016). Per Hallegatte et al (2012, p.4) 'deep uncertainty' occurs Bdue to the presence of one or more of the following elements: (1) 'Knightian' uncertainty: multiple possible future worlds without relative known probabilities; (2) Multiple divergent but equally-valid world-views, including values used to define criteria of success; and (3) Decisions which adapt over time and cannot be considered independently^.…”
Section: Deep Uncertaintymentioning
confidence: 99%
“…This includes studies on a 100% renewable energy system as a neo-carbon energy system [14,15]. BBestguess^future conditions might not be enough, and therefore multiple plausible futures should be considered [22]. Non-linearities, various sudden events and surprises -wild cards and black swans -could play a major role.…”
Section: Introductionmentioning
confidence: 99%