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Climate-Change Adaptations in Land-Use Planning; A Scenario-Based Approach

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Abstract

Socio-economic and climatic changes are expected to alter the current land-use patterns in the Netherlands. In order to study these uncertain developments and propose adaptation and mitigation strategies to cope with the possible changes in the physical and societal environment a set of future scenarios is developed. These scenarios integrate possible socio-economic and climatic changes and are used in the Land Use Scanner model to simulate future land-use patterns. Based on these simulations sector-specific adaptation and mitigation measures are developed in related research projects as will be described in this paper.

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References

  • ABF (2006) Achtergrondrapport bevolking. ABF research, Delft.

    Google Scholar 

  • Beinat, E. and Nijkamp, P. (1998) Multicriteria analysis for land use management. Kluwer, Dordrecht.

    Google Scholar 

  • Borsboom-van Beurden, J.A.M., Bakema, A. and Tijbosch, H. (2007) A land-use modelling system for environmental impact assessment; Recent applications of the LUMOS toolbox. In: Koomen, E., Stillwell, J., Bakema, A. and Scholten, H.J. (eds.). Simulating land-use change Kluwer Academic Publishers, New York.

    Google Scholar 

  • Borsboom-van Beurden, J.A.M., Boersma, W.T., Bouwman, A.A., Crommentuijn, L.E.M., Dekkers, J.E.C. and Koomen, E. (2005) Ruimtelijke Beelden; Visualisatie van een veranderd Nederland in 2030. RIVM report 550016003, Milieu- en Natuurplanbureau, Bilthoven.

    Google Scholar 

  • Commissie Waterbeheer 21e eeuw (2000) Waterbeleid voor de 21ste eeuw; geef water de ruimte en de aandacht die het verdient.

    Google Scholar 

  • CPB (2002) De BLM: opzet en recente aanpassingen. Centraal Planbureau, Den Haag.

    Google Scholar 

  • CPB, MNP and RPB (2006a) Welvaart en Leefomgeving. Achtergronddocument. Centraal Planbureau, Milieu- en Natuurplanbureau en Ruimtelijk Planbureau, Den Haag.

    Google Scholar 

  • CPB, MNP and RPB (2006b) Welvaart en Leefomgeving. Een scenariostudie voor Nederland in 2040. Centraal Planbureau, Milieu- en Natuurplanbureau en Ruimtelijk Planbureau, Den Haag.

    Google Scholar 

  • Dale, V.H. (1997) The relationship between land-use change and climate change. Ecological Applications 7(3): 753-769.

    Article  Google Scholar 

  • Dekkers, J.E.C. and Koomen, E. (2006) De rol van sectorale inputmodellen in ruimtegebruiksimulatie; Onderzoek naar de modellenketen voor de LUMOS toolbox. SPINlab research memorandum SL-05. Vrije Universiteit Amsterdam, Amsterdam.

    Google Scholar 

  • Dekkers, J.E.C. and Koomen, E. (2007) Land-use simulation for water management: application of the Land Use Scanner model in two large-scale scenario-studies. Chapter 20. In: Koomen, E., Stillwell, J., Bakema, A. and Scholten, H.J. (eds.). Modelling land-use change; progress and applications Springer, Dordrecht, pp. 355-373.

    Google Scholar 

  • Engelen, G., Lavalle, C., Barredo, J.I., Van Der Meulen, M. and White, R. (2007) The MOLAND modelling framework for urban and regional land-use dynamics. Chapter 17 in: Koomen, E., Stillwell, J., Bakema, A. and Scholten, H.J. (eds.) Modelling land-use change; progress and applications, Springer, Dordrecht, pp. 297-319.

    Google Scholar 

  • Engelen, G., White, R., Uljee, I., Hagen, A., van Loon, J., van der Meulen, M. and Hurkens, J. (2004) The Moland Model for Urban and Regional Growth, Research Institute for Knowledge Systems, Maastricht, The Netherlands.

    Google Scholar 

  • Helming, J. (2005) A model of Dutch agriculture based on Positive Mathematical Programming with regional and environmental applications, PhD thesis. Wageningen University, Wageningen.

    Google Scholar 

  • Hilferink, M. and Rietveld, P. (1999) Land Use Scanner: An integrated GIS based model for long term projections of land use in urban and rural areas. Journal of Geographical Systems 1(2): 155-177.

    Article  Google Scholar 

  • IPCC (2001) Impacts, Adaptation & Vulnerability. Contribution of Working Group II to the Third Assessment Report of the Intergrovernmental Panel on Climate Change (IPCC). Cambridge University Press, Cambridge, UK.

    Google Scholar 

  • Koomen, E., Kuhlman, T., Groen, J. and Bouwman, A.A. (2005) Simulating the future of agricultural land use in the Netherlands. Tijdschrift voor Economische en Sociale Geografie 96(2): 218-224.

    Article  Google Scholar 

  • Loonen, W. and Koomen, E. (2007) Calibration and validation of the Land Use Scanner allocation algorithms. MNP report, Milieu- en Natuurplanbureau, Bilthoven.

    Google Scholar 

  • MNP (2006) Nationale Milieuverkenning 6: 2006-2040. MNP-rapportnr. 500085001, Milieu- en Natuurplanbureau, Bilthoven.

    Google Scholar 

  • NIROV (2005) Nieuwe Kaart, Nieuwe Ruimte: Plannen voor Nederland in 2015. Nirov, Den Haag.

    Google Scholar 

  • Parry, M.L. (2000a) Assessment of Potential Effects and Adaptations for Climate Change in Europe: The Europe ACACIA Project. Jackson Environmental Institute, University of East Anglia, Norwich, UK.

    Google Scholar 

  • Parry, M.L. (2000b) Scenarios for climate impact and adaptation assessment. Global Environmental Change 12: 149-153.

    Article  Google Scholar 

  • Riedijk, A., R. van Wilgenburg and E. Koomen (2007) Integrated scenarios of socio-economic and climate change; a framework for the ‘Climate changes spatial planning’ program, Vrije Universiteit Amsterdam.

    Google Scholar 

  • Rodríguez-Lloret, J., N. Omtzigt, E. Koomen and F.S. de Blois (2008) 3D∈ visualisations in simulations of future land use: exploring the possibilities of new, standard visualisation tools, Journal of digital Earth 1(1) (forthcoming).

    Google Scholar 

  • Schrijver, A. (2003) Combinatorial optimization - polyhedra and efficiency. Springer-Verlag, Berlin.

    Google Scholar 

  • Tokuyama, T. and Nakano, J. (1995) Efficient algorithms for the Hitchcock transportation problem. SIAM Journal on Computing 24(3): 563-578.

    Article  Google Scholar 

  • V&W and VROM (2006) Nota Mobiliteit. Ministerie van Verkeer en Waterstaat/Ministerie van Volkshuisvesting, Ruimtelijke Ordening en Milieubeheer, Den Haag.

    Google Scholar 

  • Van den Hurk, B., Klein Tank, A., Lenderink, G., van Ulden, A., van Oldenborgh, G.J., Katsman, C., van den Brink, H., Bessembinder, J., Hazeleger, W. and Drijfhout, S. (2006) KNMI Climate Change Scenarios 2006 for the Netherlands. KNMI Scientific Report WR 2006-01, KNMI, De Bilt.

    Google Scholar 

  • Van der Hoeven, N., Aerts, J., Van der Klis, H. and Koomen, E. (2008) An Integrated Discussion Support System (DSS) for New Dutch Flood Risk Management Strategies. In: Geertman, S. and Stillwell, J. Planning Support Systems: Best Practices and New Methods, Springer, Berlin (forthcoming).

    Google Scholar 

  • Verbeek, K. (2003) De toestand van het klimaat 2003. KNMI, De Bilt.

    Google Scholar 

  • Verburg, P.H. and Overmars, K.P. (2007) Dynamic simulation of land-use change trajectories with the CLUE-s model. Chapter 18 in: Koomen, E., Stillwell, J., Bakema, A. and Scholten, H.J. (eds.) Modelling land-use change; progress and applications, Springer, Dordrecht, pp. 321-335.

    Google Scholar 

  • Verburg, P.H., Soepboer, W., Limpiada, R., Espaldon, M.V.O., Sharifa, M. and Veldkamp, A. (2002) Land use change modelling at the regional scale: the CLUE-S model, Environmental Management, 30: 391–405.

    Article  Google Scholar 

  • Volgenant, A. (1996) Linear and semi-assignment problems: a core oriented approach. Computers and Operations Research 23(10): 917-932.

    Article  Google Scholar 

  • Watson, R.T., Noble, I.R., Bolin, B., Ravindranath, N.H.V.D.J. and Dokken, D.J.E. (2006) Land Use, Land-Use Change, and Forestry. A Special Report of the Intergovernmental Panel on Climatic Change. Cambridge University Press, Cambridge.

    Google Scholar 

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Koomen, E., Loonen, W., Hilferink, M. (2008). Climate-Change Adaptations in Land-Use Planning; A Scenario-Based Approach. In: Bernard, L., Friis-Christensen, A., Pundt, H. (eds) The European Information Society. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78946-8_14

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