In this report, we identify, analyse and compare international good practices in the design and implementation of national monitoring and evaluating indicator systems for climate change adaptation. This first chapter provides an introduction to the context and key terminology in the domain of climate change adaptation and indicators for M&E of adaptation. The second chapter discusses the existing approaches to M&E, while Chapter 3 provides a general overview of approaches to M&E Frameworks for Climate Change Adaptation.

This guideline describes the way in which Bayesian networks can be used to facilitate water resource decision making and improve the stakeholder engagement process. To reverse the water shortage and scarcity due to the variable and climate changing, the experience of four case studies (United Kingdom, Spain, Denmark and Italy) show clearly that the Bns can permits to assess impacts of many different strategies and / or scenarios to be assessed in a short time and different scale of water management can be addressed simultaneously.