G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Potentials and Limits of Bayesian Networks to Deal with Uncertainty in the Assessment of Climate Change Adaptation Policies
Michela Catenacci; Carlo Giupponi
发表日期2010
出处Climate Change and Sustainable Development
出版年2010
语种英语
摘要Bayesian networks (BNs) have been increasingly applied to support management and decision-making processes under conditions of environmental variability and uncertainty, providing logical and holistic reasoning in complex systems since they succinctly and effectively translate causal assertions between variables into patterns of probabilistic dependence. Through a theoretical assessment of the features and the statistical rationale of BNs, and a review of specific applications to ecological modelling, natural resource management, and climate change policy issues, the present paper analyses the effectiveness of the BN model as a synthesis framework, which would allow the user to manage the uncertainty characterising the definition and implementation of climate change adaptation policies. The review will let emerge the potentials of the model to characterise, incorporate and communicate the uncertainty, with the aim to provide an efficient support to an informed and transparent decision making process. The possible drawbacks arising from the implementation of BNs are also analysed, providing potential solutions to overcome them.
特色分类Q54
关键词Adaptation to Climate Change Bayesian Network Uncertainty
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/potentials-and-limits-of-bayesian-networks-to-deal-with-uncertainty-in-the-assessment-of-climate-change-adaptation-policies/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/117799
推荐引用方式
GB/T 7714
Michela Catenacci,Carlo Giupponi. Potentials and Limits of Bayesian Networks to Deal with Uncertainty in the Assessment of Climate Change Adaptation Policies. 2010.
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