Decision-Making Frameworks for Adaptation to Extremes in Two Local Government Areas: Comparing and Contrasting India and Australia

  • Supriya Mathew
  • Ann Henderson-Sellers
  • Matthew Inman
Conference paper
Part of the Local Sustainability book series (LOCAL, volume 2)


Local governments have recognized the need to adapt to climate extremes. Decision-makers at this level thus require a guide to decide on adaptation actions under an unsure future. This chapter explores methods to choose better adaptation options for climate extremes at the local government level, even as uncertainty among climate change projections persists. As such, two local governments in widely different geographic areas are featured – one from a developed nation (Ku-ring-gai, eastern Australia) and another from a rapidly developing nation (Kochi, southern India). The limits of economic evaluations and the significance of qualitative tools under an unsure environment are discussed within the two local contexts. Furthermore, the applicability of recent literature that deals with uncertainty is also studied. For example, some studies choose options that are robust under the best and worst case scenarios, while others choose the ‘no regret options’ that are justified under all plausible future scenarios. Other criteria for determining adaptation options include the net benefits of the options, urgency of the options, co-benefits of the options and reversibility and flexibility of options. Various evaluation criteria are tested in the two locations to develop a realistic decision-making framework that can rank options for extreme climatic events.


Climate extremes Climate adaptation Local government uncertainty Decision-making 



I acknowledge support from the Climate Adaptation Flagship within CSIRO (Commonwealth Scientific and Industrial Research Organization) and Macquarie University, Australia. I also thank the Resilient Cities conference organizers, participants who gave me valuable feedback after my presentation and experts at Kochi (India) and Ku-ring-gai (Australia).


  1. de Bruin, K., Dellink, R. B., Ruijs, A., Bolwidt, L., van Buuren, A., Graveland, J., de Groot, R. S., Kuikman, P. J., Reinhard, S., Roetter, R. P., Tassone, V. C., Verhagen, A., & van Ierland, E. C. (2009). Adapting to climate change in The Netherlands: An inventory of climate adaptation options and ranking of alternatives. Climatic Change, 5, 23–45.CrossRefGoogle Scholar
  2. Dessai, S., & van der Sluijs, J. P. (2007). Uncertainty and climate change adaptation: A scoping study. A Copernicus Institute and Tyndall Centre Report for the Netherlands Environmental Assessment Agency (MNP). Accessed online on 17 Mar 2010.
  3. Dessai, S., Hulme, M., Lempert, R., & Pielke, R., Jr. (2009). Climate prediction: A limit to adaptation? In N. W. Adger, I. Lorenzoni, & K. L. O’Brien (Eds.), Adaptation to climate change threshold, values, governance (pp. 64–78). Cambridge: Cambridge University Press.Google Scholar
  4. Eales, R., White, O., Owen, J., Kent, H., & Sing, S. (2006). Climate change mitigation and adaptation implementation plan for the draft south east plan. Final report. Prepared for the South East Regional Assembly by Collingwood Environmental Planning and Land Use Consultants. Accessed online on 13 Jan 2011.
  5. Hallegatte, S. (2009). Strategies to adapt to an uncertain climate change. Global Environmental Change, 19, 240–247.CrossRefGoogle Scholar
  6. Ku-ring-gai Council. (2010). Climate change adaptation strategy report. Accessed online on 13 Apr 2011.
  7. Nath, P. K., & Behera, B. (2011). A critical review of impact of an adaptation to climate change in developed and developing economies. Environment, Development and Sustainability, 13, 141–162.CrossRefGoogle Scholar
  8. Nordhaus, W. (2006). The Stern review on the economics of climate change. National Bureau of Economic Research, Working Paper Series WP12741, December. Accessed online on 10 July 2010.
  9. Shevchenko, P. V., & Wüthrich, M. V. (2006). The structural modelling of operational risk via Bayesian inference: Combining loss data with expert opinions. Journal of Operational Risk, 1, 3–26.Google Scholar
  10. Stern, N. (2006). The economics of climate change: The Stern review. Cambridge: Cambridge University Press.Google Scholar
  11. The World Bank, & The United Nations Report. (2010). Natural hazards, unnatural disasters: The economics of effective prevention. Accessed online on 13 Jan 2011.

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Supriya Mathew
    • 1
  • Ann Henderson-Sellers
    • 1
  • Matthew Inman
    • 2
  1. 1.Department of Environment and GeographyMacquarie UniversitySydneyAustralia
  2. 2.Urban Systems ProgramCommonwealth Scientific and Industrial Research Organisation (CSIRO)SydneyAustralia

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