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MEDIATION output (D2.4)

Overview on selected output from MEDIATION


| MEDIATION Adaptation Platform | Policy Briefing Notes | Deliverables |


Select deliverable number:

| D1.1 | D1.2 | D1.3 | D1.4 | D2.1 | D2.2 | D2.3 | D2.4 | D3.1 | D3.2 | D3.3 | D3.4 |
| D3.5 | D4.1 | D4.2 | D4.3 | D4.5 | D5.1 | D5.2 | D5.3 | D5.4 | D5.7 | D6.1 | D6.2 |
| D6.3 | D6.4 | D6.5 | D7.1 | D7.2 | D7.3 | D7.4 | D7.5 | D7.6 | D7.7 | D7.8 | D7.9 |

D2.4: Report on application and testing of the improved methods and metrics in selected key European sectors and regions. Contribution to platform.

 

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Abstract

Over the course of the MEDIATION project, Work Package 2 was tasked with “develop[ing] and apply[ing] a toolbox, defined as a set of models, methods, and metrics for the assessment of impacts and vulnerability and adaptation options.” As highlighted in Deliverable 2.2, many frameworks and methods for assessing adaptation have been developed over the last 20 years, yet these often have not been adopted in the context of formal adaptation policies in Europe and elsewhere. Reasons and problems include: (i) a fragmentation of methods and tools, (ii) a lack of linkages to actual policy needs, (iii) a lack of understanding and communication of uncertainties, (iv) the often expert-based nature and complexity of methods used versus actual user demands, and (v) a lack of consistent data, definitions and metrics.

Deliverable 2.2 put forward a rough prototype for a toolbox of methods for studying impacts, vulnerability, and adaptation. In this deliverable, we discuss subsequent work on the MEDIATION toolbox, and report on application and testing of the improved methods and metrics in selected key European sectors and regions.

We present feedback and improvement to methods and metrics based on input from case studies, stakeholders, and focus groups, as well as an overview of case study work and contribution to an improved MEDIATION toolbox. This input resulted in a number of conclusions relating to the development and use of methods and metrics, reducing uncertainty in CCIAV, and led to a number of changes, including the creation of a novel typology for classifying methods and models relating to CCIAV analysis. We provide an overview of the new typology, as well as the final toolbox, and summarize case study contributions towards improved methods and metrics.

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