Knowledge integration as science based-decision making for adaptation strategies

11:15 Tuesday 28 May


Room S9


Mária Máñez Costa (Germany) 1; Van Der Keur Peter (Denmark) 2; Celliers Louis (Germany) 1; Eulalia Gomez (Germany) 1

1 - Climate Service Center Germany - Helmholtz Zentrum Geesthacht; 2 - GEUS

Adaptation strategies to reduce the negative effects of climate change are needed at every institutional level. The development of these strategies is a complex process involving variety of actors from scientist and policy makers to civil society members. It is important to understand how different knowledge is created and distributed among the different stakeholders and governmental levels to effectively implement adaptation across socioeconomic sectors. Despite the fact that an increasing amount of scientific, institutional and traditional knowledge is being produced, the integration of transdisciplinary knowledge is still in its infancy. Knowledge integration represents an opportunity to enhance decision making and facilitate the implementation of climate change adaptation measures. Integrating transdisciplinary knowledge increases the usability of climate information.

There are three aspects of knowledge integration that need to be considered. Firstly, how to integrate existing scientific knowledge into science, secondly how to integrate societal knowledge into science, and thirdly how to integrate knowledge from different disciplines within and into each other.

This session is oriented to explore different approaches and methods that contribute to overcome the barriers and limitations in scientific and local knowledge integration. Approaches such as stakeholder’s participation, participatory modelling or policy learning techniques will be explored. The aim of the session is to analyse the advantages and disadvantages of different methods and approaches as well as to examine novel projects and cutting-edge science in the field of knowledge integration and climate change adaptation strategies. The session is designed to be participative to enhance the exchange of information between scientist, decision-makers and planners in the field of climate change adaptation and risk reduction.

Target audience

This session is oriented towards a) decision makers that are interested in integrating best knowledge available into their decision-making process; and b) scientist that are interested in improving how to integrate knowledge and contribute to enhance the integration of transdisciplinary knowledge.

Proposed format for the session

The session is designed to be participative in order to exchange experiences and ideas between the participants. For this reason, there will be a maximum of 4 talks. 5 minutes each talk, with a maximum of 5 minutes for questions and answers. The remaining time will be used to create a participative debate. The session will be driven by the short presentations and public intervention. We planned to organise it in a roundtable discussion setting giving specific topics for reflexion to every table. The outcomes should be published as a scientific paper but also with a summary for decision makers.

Contributing Authors abstracts

Peter van der Keur

Cloudburst events, sometimes aggravated by prolonged rainfall lead to both surface and groundwater flooding and cause numerous problems, not least economic, for society and citizens. Notably, the extreme rainfall event in Copenhagen in 2011 leading to severe inundation of large parts of the city caused damage for close to 1 billion euro. This damage figure is expected to increase substantially in the future with more frequent and severe rainfall and which cannot cost-effectively be solved by upgrading grey infrastructure. Adaptation strategies for Copenhagen have been developed in the context of the Copenhagen Climate Adaptation Plan and the Cloudburst Management Plan. Climate proofing of the city is cost-effectively planned and executed by integrating knowledge and creating synergies regarding other urban planning at various administrative levels, overall and local economic boundary conditions and interaction with citizens. In the NAIAD project different and complementing sources of information for the demonstration case of Copenhagen are integrated in a the framework of a Bayesian Belief Network as a methodology to assess the value, economic and co-benefits, of nature based adaptation strategies.

Louis Celliers, María Máñez

Climate change and its extremes threaten sustainable development and challenges welfare achievements of many European regions. Therefore, climate risk and adaptation management becomes central for all decision-making levels. INNOVA, an ERA4CS project 2017-2010, is providing pathways to developing climate services covering all components of the climate change policy cycle, but focusing on local adaptation.

The objective of INNOVA is to identify and explore ways and means through which the development of climate services can be accelerated, simplified and contextualized at the local scale. It aims to develop innovative models for climate service development that can be replicated in order that climate-related data can be transformed to be fit-for-purpose at the local level. Innovate climate services are explored by way of four geographically and developmentally distinct case studies (hubs) that are also generally representative of many other locations and issues. The four hubs are: Guadeloupe archipelago and Martinique, French West Indies Islands, Kiel Bay in Germany, Valencia, Spain, and Nijmegen on the river Waal, The Netherlands. In each hub, specific local climate hazards, vulnerabilities and risks are explored, as is the governance, economic and social conditions and requirements to produce a useful climate service.These cases form the basis for developing models and methodologies for climate service provision.

Eulalia Gómez: Assessing the long-term resilience of Nature Based Solutions in the Medina aquifer to adapt to droughts

Climate change is likely to increase the frequency and intensity of water-related hazards such as floods and droughts. This situation is further aggravated by the ongoing environmental degradation and the destruction of key protective ecosystem services. As a result of this, adaptation measures such as Nature Based Solutions (NBS) are gaining importance in the EU policy agenda. However, there is scarce evidence of the viability of NBS in the long-term. To avoid increasing costs and failure of adaptation measures,the combination of heterogeneous data coming from different sources and governmental levels is required. To address this challenge, we suggest a knowledge integration approach to incorporate new and existing knowledge into a more efficient framework for NBS assessment. We use a quantitative system dynamics approach starting with a participatory modelling phase as our framework of analysis. We will present the results from the case study of Medina del Campo river basin.

María Máñez Costa and Daniela Jacob: Learning from the south on drought management: Conditions for successful policy learning

Germany and other northern countries have suffered in the last summer 2018 a long dry period which consequences have been directly related to a decrease of agricultural yields, problems in the water households and increase in wild fires. The management of those events have turned a challenge for the governance structures in place, because they did not have the culture of managing this kind of risks. Risk perception plays an important role when reacting to hazards (Renn, 1990), and can be influential in determining how people choose to mitigate the risk of those hazards (Martin et al., 2009). Risk situations similar to past one facilitate the management of the current risk and also decrease the feeling of risk (Aven & Renn, 2010). But how to manage a risk situation for which we don’t have a history and tradition of management. We suggest that policy learning and knowledge integration from the southern European countries with a long history of drought and water scarcity risk management might increase the response and adaptation capacity of northern countries. We present a policy learning framework to support our hypotheses.