Mapping governance of adaptation to climate change to support decision-making

13:00–13:20 Thursday 30 May


Room S15


Dominik Braunschweiger (Switzerland) 1,2; Marco Pütz (Switzerland) 1; Frank Heidmann (Germany) 3; Mark-Jan Bludau (Germany) 3

1 - Swiss Federal Institute for Forest, Snow and Landscape Research WSL; 2 - Schweiz; 3 - Potsdam University of Applied Sciences.

Climate change severely affects the Alpine space. Adaptation to climate change is needed in order to deal with these impacts but the implementation of national adaptation strategies is inhibited by multiple obstacles. Our aim is to provide a better understanding of the governance of adaptation to climate change in Switzerland.

We conceptualize governance as an interplay of policies, measures, actors and knowledge and visualize their interactions. That means we identify and visualize (i) who or what implements which policies and measures, (ii) who or what informs which policies, measures and actors and (iii) who decides, funds and monitors which policies and measures.

Following a qualitative research design our mapping is based on expert assessments on the most relevant adaptation policies, measures, actors, knowledge resources, and interactions. The data was collected from progress and final reports of the Swiss National Adaptation Strategy, the National Adaptation Action Plan, the Pilot Program Adaptation to Climate Change, the Grisons Climate Strategy, and other studies commissioned by the Climate Division of the Federal Office for the Environment.

After identifying important aspects of the collected data in a workshop, we followed an iterative design process by experimenting with various visualization types, finally resulting in the use of a radial network visualization. The interactive visualization depicts all items in a radial arrangement where their position indicates their geographical level and differently coloured lines between items mark different interactions. The size of an item symbolizes its number of interactions which makes important players immediately visible. The visualization is meant to allow the viewer to explore the data iteratively by following different interactions from item to item. Various filters can be enabled to examine specific item types or interaction types or limit the geographical level or the time span. A prototype of the visualization can be accessed from Mapping governance of adaptation to climate change in the Alpine space.