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A decision analysis approach to climate adaptation: a structured method to consider multiple options

Listed author(s):
  • L. Richard Little

    (CSIRO Oceans & Atmosphere Flagship)

  • Brenda B. Lin

    ()

    (CSIRO Land & Water Flagship)

Registered author(s):

    Abstract Decision-making for climate adaptation operates in an uncertain environment. Formal processes to decision-making under uncertainty weigh the ability of a decision rule to achieve multiple and sometimes conflicting objectives in an evaluation procedure. Increasingly, computer simulation models are being applied for this reason, so that the effectiveness of decisions can be evaluated before actually implementing them in reality. In this paper, we develop a simple stochastic simulation model of beach recession under climate change in Australia and evaluate decision rules for beach replenishment in the context of three management objectives: (i) to reduce beach recession, (ii) reduce variation in beach recession, and (iii) do so cost-effectively. Results indicate that a decision to intervene and replenish the beach based on a trigger level would be effective at maintaining shoreline position, with relatively little variation, but did so at a relatively high cost of multiple interventions. A decision procedure to intervene at a fixed period resulted in greater shoreline position variation but constrained management efforts and costs. This structured approach offers an evidence-based process to decision-making that lays bare the assumptions upon which decisions are made. This, in turn, allows for a more complete analysis of all the uncertainties and better outcomes.

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    File URL: http://link.springer.com/10.1007/s11027-015-9658-8
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    Article provided by Springer in its journal Mitigation and Adaptation Strategies for Global Change.

    Volume (Year): 22 (2017)
    Issue (Month): 1 (January)
    Pages: 15-28

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    Handle: RePEc:spr:masfgc:v:22:y:2017:i:1:d:10.1007_s11027-015-9658-8
    DOI: 10.1007/s11027-015-9658-8
    Contact details of provider: Web page: http://www.springer.com

    Order Information: Web: http://www.springer.com/economics/journal/11027

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    1. Frank Jotzo & Regina Betz, 2009. "Australia's emissions trading scheme: opportunities and obstacles for linking," Climate Policy, Taylor & Francis Journals, vol. 9(4), pages 402-414, July.
    2. Roshanka Ranasinghe & David Callaghan & Marcel Stive, 2012. "Estimating coastal recession due to sea level rise: beyond the Bruun rule," Climatic Change, Springer, vol. 110(3), pages 561-574, February.
    3. Suraje Dessai & Mike Hulme, 2004. "Does climate adaptation policy need probabilities?," Climate Policy, Taylor & Francis Journals, vol. 4(2), pages 107-128, June.
    4. Fankhauser, Samuel & Smith, Joel B. & Tol, Richard S. J., 1999. "Weathering climate change: some simple rules to guide adaptation decisions," Ecological Economics, Elsevier, vol. 30(1), pages 67-78, July.
    5. Milner-Gulland, E.J. & Rowcliffe, J. Marcus, 2007. "Conservation and Sustainable Use: A Handbook of Techniques," OUP Catalogue, Oxford University Press, number 9780198530350.
    6. Éva Plagányi & Timothy Skewes & Natalie Dowling & Malcolm Haddon, 2013. "Risk management tools for sustainable fisheries management under changing climate: a sea cucumber example," Climatic Change, Springer, vol. 119(1), pages 181-197, July.
    7. Damian Collins, 2009. "Contesting Property Development in Coastal New Zealand: A Case Study of Ocean Beach, Hawke's Bay," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 33(1), pages 147-164, March.
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