Climate impacts and adaptation stakeholder workshop

Title:

• Representation of adaptation and maladaptation in integrated assessment models (IAMs)

Moderator:

• Detlef van Vuuren, Project leader of the IMAGE integrated assessment modelling team, PBL Netherlands Environmental Assessment Agency and professor in Integrated Assessment of Global Environmental Change at Utrecht University

Speakers:

• Marina Andrijevic, International Institute for Applied Systems Analysis

• Edward Byers, International Institute for Applied Systems Analysis

• Kai-Ivar van der Wijst, Copernicus Institute of Sustainable Development, Utrecht University

There has traditionally been a clear divide between research communities focused on climate change mitigation and those concentrating on climate impacts. However, it is known that there are important interactions. The community scenario framework (SSPs/RCPs) is intended to facilitate such integration. In recent years, first efforts have been made to incorporate impacts and adaptation into detailed integrated assessment models, allowing for a better assessment of the interactions between mitigation, adaptation, and impacts in various scenarios. Such research can also delve into maladaptation, referring to adaptation efforts that result in negative side effects or are ill-prepared for long-term climate change (e.g., this may include increased energy demand due to water desalination).

In this stakeholder workshop, we will discuss the current status of adaptation and maladaptation in research on model-based scenarios. We will present key insights from the NAVIGATE, PRISMA, SPARCCLE, and ACCREU projects. Through interactive discussions, the aim is to understand whether the expectations and needs of researchers, experts, and stakeholders align regarding the current research agenda, potentially leading to further research recommendations.

Organized by PBL, Bruegel, CMCC

Image by Yakov Oskanov on Envato

 

Register here: please register in advance to participate!

 

PRISMA project has received funding from the European Union’s Horizon Europe research and innovation
programme under grant agreement No. 101081604.