期刊
ENVIRONMENTAL MODELLING & SOFTWARE
卷 81, 期 -, 页码 154-164出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2016.03.014
关键词
Uncertain future; Deep uncertainty; Scenarios; Robustness; Adaptability; Decision support
类别
资金
- Bushfire and Natural Hazards Cooperative Research Centre
- Australian Postgraduate Research Award
A highly uncertain future due to changes in climate, technology and socio-economics has led to the realisation that identification of best-guess future conditions might no longer be appropriate. Instead, multiple plausible futures need to be considered, which requires (i) uncertainties to be described with the aid of scenarios that represent coherent future pathways based on different sets of assumptions, (ii) system performance to be represented by metrics that measure insensitivity (i.e. robustness) to changes in future conditions, and (iii) adaptive strategies to be considered alongside their more commonly used static counterparts. However, while these factors have been considered in isolation previously, there has been a lack of discussion of the way they are connected. In order to address this shortcoming, this paper presents a multidisciplinary perspective on how the above factors fit together to facilitate the development of strategies that are best suited to dealing with a deeply uncertain future. (C) 2016 Elsevier Ltd. All rights reserved.
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