TY - JOUR A1 - Wutzler, Bianca A1 - Hudson, Paul A1 - Thieken, Annegret T1 - Adaptation strategies of flood-damaged businesses in Germany JF - Frontiers in water N2 - Flood risk management in Germany follows an integrative approach in which both private households and businesses can make an important contribution to reducing flood damage by implementing property-level adaptation measures. While the flood adaptation behavior of private households has already been widely researched, comparatively less attention has been paid to the adaptation strategies of businesses. However, their ability to cope with flood risk plays an important role in the social and economic development of a flood-prone region. Therefore, using quantitative survey data, this study aims to identify different strategies and adaptation drivers of 557 businesses damaged by a riverine flood in 2013 and 104 businesses damaged by pluvial or flash floods between 2014 and 2017. Our results indicate that a low perceived self-efficacy may be an important factor that can reduce the motivation of businesses to adapt to flood risk. Furthermore, property-owners tended to act more proactively than tenants. In addition, high experience with previous flood events and low perceived response costs could strengthen proactive adaptation behavior. These findings should be considered in business-tailored risk communication. KW - risk management KW - climate change adaptation KW - floods KW - disaster risk KW - reduction KW - Germany KW - precaution KW - emergency management Y1 - 2022 U6 - https://doi.org/10.3389/frwa.2022.932061 SN - 2624-9375 VL - 4 PB - Frontiers Media CY - Lausanne ER - TY - GEN A1 - Rolinski, Susanne A1 - Rammig, Anja A1 - Walz, Ariane A1 - von Bloh, Werner A1 - van Oijen, M. A1 - Thonicke, Kirsten T1 - A probabilistic risk assessment for the vulnerability of the European carbon cycle to weather extremes BT - The ecosystem perspective T2 - Postprints der Universität Potsdam : Mathematisch naturwissenschaftliche Reihe (487) N2 - Extreme weather events are likely to occur more often under climate change and the resulting effects on ecosystems could lead to a further acceleration of climate change. But not all extreme weather events lead to extreme ecosystem response. Here, we focus on hazardous ecosystem behaviour and identify coinciding weather conditions. We use a simple probabilistic risk assessment based on time series of ecosystem behaviour and climate conditions. Given the risk assessment terminology, vulnerability and risk for the previously defined hazard are estimated on the basis of observed hazardous ecosystem behaviour. We apply this approach to extreme responses of terrestrial ecosystems to drought, defining the hazard as a negative net biome productivity over a 12-month period. We show an application for two selected sites using data for 1981-2010 and then apply the method to the pan-European scale for the same period, based on numerical modelling results (LPJmL for ecosystem behaviour; ERA-Interim data for climate). Our site-specific results demonstrate the applicability of the proposed method, using the SPEI to describe the climate condition. The site in Spain provides an example of vulnerability to drought because the expected value of the SPEI is 0.4 lower for hazardous than for non-hazardous ecosystem behaviour. In northern Germany, on the contrary, the site is not vulnerable to drought because the SPEI expectation values imply wetter conditions in the hazard case than in the non-hazard case. At the pan-European scale, ecosystem vulnerability to drought is calculated in the Mediterranean and temperate region, whereas Scandinavian ecosystems are vulnerable under conditions without water shortages. These first model- based applications indicate the conceptual advantages of the proposed method by focusing on the identification of critical weather conditions for which we observe hazardous ecosystem behaviour in the analysed data set. Application of the method to empirical time series and to future climate would be important next steps to test the approach. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 487 KW - global vegetation model KW - climate extremes KW - fire emissions KW - drought KW - forest KW - productivity KW - reduction KW - events KW - assimilation KW - uncertainty Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-407999 SN - 1866-8372 IS - 487 SP - 1813 EP - 1831 ER -