Skip to main content

Advertisement

Log in

When decision-making processes fail: an argument for robust climate adaptation planning in the face of uncertainty

  • Perspectives
  • Published:
Environment Systems and Decisions Aims and scope Submit manuscript

Abstract

Adverse climate-related pressures and shocks pose uncertain risks to communities and society at large. These uncertainties require strategies that will perform well regardless of circumstances, necessitating robust rather than optimal planning strategies. Robust planning requires reliable up-to-date information. The data available regarding regional risk, however, especially in developing countries, are often insecure, inadequate, or nonexistent. In addition to this, climate change poses deep uncertainty in when, where, and how extreme a given climate-related pressure or shock will occur. In order to include the full breadth of perspectives and consider all possible future scenarios, robust strategies require input from myriad affected stakeholders. Incorporating multiple perspectives, collecting and analyzing risk-related information and selecting a robust strategy, calls for substantial planning and management. When a pressure or shock occurs, without ex-ante action promoting best practices for resilience, governance structures often fail, leading to actions that may favor a single stakeholder agenda and avoidable losses. In contrast, this paper will provide a practical framework for collecting relevant information at the local level, using that information to analyze related risk, and creating robust strategies that incorporate and promote resilience.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

Notes

  1. A degree of freedom is “the number of observation minus the number of necessary relations among these observations.” Walker (1940), i.e., the less degrees of freedom the more certainty.

  2. Optimal decision-making is considered by some to be obsolete in that it is a prescriptive decision-making approach rather than a tool that enables decision makers to make an informed decision.

  3. This story has been conveyed by Prof. Miranda Schreurs—director of the Environmental Policy Research Center (Freie Universität Berlin) and Japan specialist—during the Policy Forum on “Risk and Resilience Assessment Methodologies in Transportation and Energy Policy” organized by the Embassy of Canada in Berlin on February 4, 2014.

  4. Green and Blue Space Adaptation (GRaBS) for Urban Areas and Eco Towns.

References

  • Adger WN, Agrawala S, Mirza M (2007) Assessment of adaptation practices, options, constraints and capacity. In: IPCC (ed) Climate change 2007: climate change impacts, adaptation, and vulnerability, chap 17. Cambridge University Press, Cambridge

  • Barclay P et al (2013) Climate change adaptation in Dayton, OH. http://graham.umich.edu/media/files/Climate%20Change%20Adaptation%20in%20Dayton%20OH.pdf. Accessed 5 Nov 2014

  • Baumgartner FR, Jones BD (2009) Agendas and Instability in American Politics, 2nd edn. The University of Chicago Press, Chicago and London

  • BCPP (2012) Baltic challenges and chances for local and regional development generated by climate change. http://toolkit.balticclimate.org/en/business-people/swot. Accessed 6 Nov 2014

  • Bergamini N, Blasiak R, Eyzaguirre P, Ichikawa K, Mijatovic D, Nakao F, Subramanian SM (2013) Indicators of resilience in socio-ecological production landscapes (SEPLs). United University—Institute of Advanced Studies, Yokohama Japan

  • Biesbroek GR, Swart RJ, Carter TR, Cowan C, Henrichs T, Mela H, Rey D (2010) Europe adapts to climate change: comparing national adaptation strategies. Glob Environ Change 20(3):440–450

    Article  Google Scholar 

  • Bose A (2011) Climate finance and financial gradients: perspectives and methods. Int J Regul Gov 11(2):57–76

    Google Scholar 

  • Bose A, Wolf J, Sharma S (2012) The future of adaptation finance: methods and perspectives. Int J Regul Gov 12(2):145–172

    Google Scholar 

  • Cai YP, Huang GH, Tan Q, Liu L (2011) An integrated approach for climate-change impact analysis and adaptation planning under multi-level uncertainties. Part II. Case study. Renew Sustain Energy Rev 15(6):3051–3073

    Article  Google Scholar 

  • Camerer C, Weber M (1992) Recent developments in modeling preferences: uncertainty and ambiguity. J Risk Uncertain 5(4):325–370

    Article  Google Scholar 

  • Carmin J, Dodman D, Chu E (2013) Urban Climate Adaptation and Leadership: From Conceptual Understanding to Practical Action, OECD Regional Development Working Papers, 2013/26, OECD Publishing

  • Craig PP, Gadgil A, Koomey JG (2002) What can history teach us? A retrospective examination of long-term energy forecasts for the United States. Annu Rev Energy Environ 27:83–118

  • Dehmer D, Steyer CD (2013) Zeit nach dem Elbe-Hochwasser. Was die Politik aus der Katastrophe lernen kann. (The time after the Elbe-flood. What politics can learn from the catastrophy.) In: Der Tagesspiegel, June 13, 2013. http://www.tagesspiegel.de/politik/zeit-nach-dem-elbe-hochwasser-was-die-politik-aus-der-katastrophe-lernen-kann/8340372.html. Accessed 6 Nov 2014

  • Dessai S, Hulme M (2007) Assessing the robustness of adaptation decisions to climate change uncertainties: a case study on water resources management in the East of England. Glob Environ Change 17(1):59–72

    Article  Google Scholar 

  • Dessai S, Sluijs JP (2007) Uncertainty and climate change adaptation: a scoping study (p. 95). Copernicus Institute for Sustainable Development and Innovation, Department of Science Technology and Society

  • Dixit AK, Pindyck RS (2001) The options approach to capital investment. Classical readings and recent contributions, Real options and investment under uncertainty, pp 61–78

    Google Scholar 

  • Drucker PF (1973) Management: tasks, responsibilities, practices. Harper & Row Management Library Series, HarperBusiness, New York

  • Durga Rao KHV, Rao VV, Dadhwal VK, Diwakar PG (2014) Kedarnath flash floods: a hydrological and hydraulic simulation study. Curr Sci 106(4):598

  • Field CB, Stocker TF, Barros VR, Qin D, Ebi KL, Midgley PM (2011) IPCC special report on managing the risks of extreme events and disasters to advance climate change adaptation. AGU Fall Meet Abst 1:02

    Google Scholar 

  • Füssel HM (2007) Adaptation planning for climate change: concepts, assessment approaches, and key lessons. Sustain Sci 2(2):265–275

    Article  Google Scholar 

  • Füssel HM, Klein RJT (2004) Conceptual framework of adaptation to climate change and their applicability to human health. PIK Report No. 91, Potsdam Institute for Climate Impact Research, Potsdam, Germany

  • Garmestani AS, Benson MH (2013) A framework for resilience-based governance of social-ecological systems. Ecol Soc 18(1):9

    Google Scholar 

  • Geels F, Schot J (2007) Typology of sociotechnical transition pathways. Res Policy 36(2007):399–417

    Article  Google Scholar 

  • Gelil I (2012) Guideline for Mainstreaming Adaptation Options in IWRM Plans. Support Mechanism Project for Sustainable Water Integrated Management (SWIM) funded by the European Union http://www.swim-sm.eu/files/Integration_of_CC_actions_in_IWRM_plans_Final.pdf. Accessed 5 Nov 2014

  • GRaBS (2011) Climate change adaptation action plan guidance. http://www.grabs-eu.org/downloads/GRaBS3-4%20Adaptation%20Action%20Plan%20Guidance.pdf. Accessed 5 Nov 2014

  • Greene K, Robichaud AG (2010) Mainstreaming climate change tools for the professional planning community. Climate change adaptation action plan for Stratford. https://www.fcm.ca/documents/reports/PCP/climate_change_adaptation_action_plan_for_stratford_pei_EN.pdf. Accessed 5 Nov 2014

  • Hahn RW, Sunstein CR (2005) The precautionary principle as a basis for decision making. Econ Voice 2(2). http://ssrn.com/abstract=721122

  • Hallegatte S (2009) Strategies to adapt to an uncertain climate change. Glob Environ Change 19(2):240–247

    Article  Google Scholar 

  • Hallegatte S, Shah A, Lempert R, Brown C, Gill S (2012) Investment decision-making under deep uncertainty. Background paper prepared for this report, World Bank, Washington, DC

    Book  Google Scholar 

  • Indian Red Cross Society (2013) Uttarakhand flash floods—A report. http://reliefweb.int/report/india/uttarakhand-flash-floods-%E2%80%93-report. Accessed March 2014

  • Kramer R, Quellenberg T (1996) Global Access to Environmental Information. In: Denzer R et al (1996) Environmental software systems. Proceedings of the international symposium on environmental software systems, 1995; Springer, pp 209–218

  • Lempert RJ, Collins MT (2007) Managing the risk of uncertain threshold responses: comparison of robust, optimum, and precautionary approaches. Risk Anal 27(4):1009–1026

    Article  Google Scholar 

  • Lempert RJ, Groves DG (2010) Identifying and evaluating robust adaptive policy responses to climate change for water management agencies in the American west. Technol Forecast Soc Chang 77(6):960–974

    Article  Google Scholar 

  • Lempert RJ, Popper SW, Bankes SC (2003) Shaping the next one hundred years: New methods for quantitative. Long-Term Policy Analysis, RAND, Santa Monica, CA

    Google Scholar 

  • Moser SC, Tribbia J (2007) More than information: What California’s coastal mangers need to plan for climate change. California Energy Commission, PIER, Energy Related Environmental Research Program

  • Prakash Kala C (2014) Deluge, disaster and development in Uttarakhand Himalayan region of India: challenges and lessons for disaster management. Int J Disaster Risk Reduct 8:143–152

  • Quitzow R (2011) Towards a strategic framework for promoting environmental innovations, Working Paper No. 6 within the project: lead markets funded under the BMBF Programme „WIN 2“, Berlin, Sept 2011

  • Savage LJ (1951) The theory of statistical decision. J Am Stat Assoc 46(253):55–67

    Article  Google Scholar 

  • Stahl CH, Cimorelli AJ (2005) How much uncertainty is too much and how do we know? A case example of the assessment of ozone monitor network options. Risk Anal 25(5):1109–1120

    Article  Google Scholar 

  • Takeda MB, Helms MM (2006a) Bureaucracy, meet catastrophe: analysis of the tsunami disaster relief efforts and their implications for global emergency governance. Int J Public Sector Manag 19(2):204–217

    Article  Google Scholar 

  • Takeda MB, Helms MM (2006b) Bureaucracy, meet catastrophe: analysis of Hurricane Katrina relief efforts and their implications for emergency response governance. Int J Public Sect Manag 19(4):397–411

    Article  Google Scholar 

  • Taleb NN (2010) The black swan: the impact of the highly improbable, 2nd edn. Penguin Books, London

    Google Scholar 

  • UNISDR (2014) Disaster statistics. http://www.unisdr.org/we/inform/disaster-statistics. Accessed 28 Mar 2014

  • Verspargen B (2005) Innovation and economic growth. In: Fagerberg et al. (ed) The Oxford handbook of Innovation, Oxford University Press, New York, pp. 487–513

  • Walker HM (1940) Degrees of freedom. J Educ Psychol 31(4):253–269

    Article  Google Scholar 

  • Walker WE, Lempert RJ, Kwakkel JH (2013) Deep uncertainty. In Encyclopedia of Operations Research and Management Science. Springer, US, pp 395–402

  • WBGU (2011) World in Transition—a Social Contract for Sustainability. Flagship Report 2011. German Advisory Council on Global Change (WBGU). http://www.wbgu.de/en/flagship-reports/fr-2011-a-social-contract/. Accessed 30 Mar 2014

  • WHO (2014) 7 million premature deaths annually linked to air pollution, press release, March 25, 2014. http://www.who.int/mediacentre/news/releases/2014/air-pollution/en/. Accessed 30 Mar 2014

Download references

Acknowledgments

Special thanks to Camille Raillon of Resilience Center Global for her contribution to the design of the aforementioned framework presented in section six. Thanks to Tim Maher of AON for his insight into the information required for resilience planning.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Annika Styczynski.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Styczynski, A., Wolf, J., Tah, S. et al. When decision-making processes fail: an argument for robust climate adaptation planning in the face of uncertainty. Environ Syst Decis 34, 478–491 (2014). https://doi.org/10.1007/s10669-014-9528-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10669-014-9528-z

Keywords

Navigation