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Results:

• 31. Keskitalo_et_al-MLG_and_adaptation_FINAL

  areas: to the regional arm of the state (the county administrative boards) to coordinate adaptation; to specific governmental bodies and agencies to develop a common elevation data basis; and for the assessment of flood risk and erosion defense measures around Lake Vänern. Risks considered by the Bill include the flooding of central Gothenburg, the second largest city of Sweden (a risk /media/loftslag/Keskitalo_et_al-MLG_and_adaptation_FINAL.pdf

• 32. VI_2017_009

  we take the corresponding data from the CMIP5 project. Table 1. All GCMs and RCMs used in this study. If a model is available for any of the domains Arctic-44, EURO-44, or EURO-11, it is marked with a v, but with an x if it is unavailable. Model name Type EURO-11 EURO-44 Arctic-44 CCCma-CanESM2 GCM x v v COSMO-CLM4-8-17 RCM v v x CNRM-CERFACS-CNRM-CM5 GCM v v x IHCEC-EC-Earth GCM v v v /media/vedurstofan-utgafa-2017/VI_2017_009.pdf

• 33. Kok_and_Veldkamp_editorial_ES-2011-4160

  agreement on use of terminology. Third, all scoping papers stress that there is no silver bullet solution, with a different view on both scale and governance being appropriate depending on the specific case. Buizer et al. (2011) are strongest on this view by presenting and discussing a framework. Termeer et al. (2010) confirm that there is no best governance approach, drawing an analogue /media/loftslag/Kok_and_Veldkamp_editorial_ES-2011-4160.pdf

• 34. Outline_for_the_case_Road_maintenance_in_a_changing_climate

  & Hautala, R. 2009. Benefits and value of meteorological information services – the case of the Finnish Meteorological Institute, Meteorological Applications, 16, pp. 369–379. Meyer, M.D., Amekudzi, A., O’Har, J.P. (2009), Transportation Asset Management Systems and Climate Change: An Adaptive Systems Management Approach, paper for Transportation Research Board 2010 Annual Meeting, CD-ROM /media/loftslag/Outline_for_the_case_Road_maintenance_in_a_changing_climate.pdf

• 35. Daniell_etal-2010

  and evaluating impacts (see also Swallow et al. 2001, van Ast and Boot 2003). METHODS AND DATA This article is based on empirical data that originated from the analysis of the participatory exercise in the Dhuenn basin. The strong involvement of researchers from two research projects (NeWater[1] and ACER[2]) linked by a joint case study led to the variety of sources available for exploration, including /media/loftslag/Daniell_etal-2010.pdf

• 36. Kok_JGEC658_2009

  and that paving major roads will lead to deforestation. C3: Conservation units. A large percentage of the Amazon (close to 33%) is classified as some kind of protected area. This includes indigenous reserves, federal parks and national parks. Only about 5% is strictly protected, although it is argued that ‘paper parks’ can also be effective. C4: Forest accessibility. The amount of forest /media/loftslag/Kok_JGEC658_2009.pdf

• 37. Kok_et_al._TFSC_published_2011

  ]. There is ample experience with backcasting, and consequently much has been said about the underlying principles (e.g. [20]), the methodological 838 K. Kok et al. / Technological Forecasting & Social Change 78 (2011) 835–851 Author's personal copy framework (e.g. [8,30–32]), and practical applications (e.g. [33–35]). Also the combination between backcasting and other types of scenarios has been /media/loftslag/Kok_et_al._TFSC_published_2011.pdf

• 38. Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change

  can be found in Huntjens et al. (2007), Chapter 4 of NeWater Deliverable 1.7.9a (http://www.newater.info). Climate change adaptation in European river basins 265 123 interactions, by private and public actors, to achieve adaptation and to enhance the capacity of processes, institutional arrangements and actors to adapt to future environmental changes (Huitema et al. 2009). Adaptive governance /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf

• 39. Moellenkampetal_etal-2010

  Acteurs et Usages (UMR G-EAU), Cemagref, 4University of Architecture, Civil Engineering and Geodesy, 5Hornsby Shire Council, 6Lisode, 7UN-Water Decade Programme on Capacity Development (UNW-DPC), United Nations University, 8School of Natural and Rural Systems Management, University of Queensland, 9College of Asia and the Pacific, The Australian National University, 10Marine and Atmospheric Research /media/loftslag/Moellenkampetal_etal-2010.pdf

• 40. 2010_003rs

  ................ 91 Figure B.5. Rake distribution for mapped faults/clusters in boxes E and F, Brennisteinsfjöll-Bláfjöll. ................................................................................. 92 Figure B.6. Rake distribution for mapped faults/clusters in box G, Ölfus. ......................... 93 Figure B.7. Rake distribution for mapped faults/clusters in box H, Hengill, active between January /media/vedurstofan/utgafa/skyrslur/2010/2010_003rs.pdf