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The Economy-Wide Value-at-Risk from the Exposure of Natural Capital to Climate Change and Extreme Natural Events: The Case of Wind Damage and Forest Recreational Services in New Zealand

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  • Monge, Juan J.
  • McDonald, Garry W.

Abstract

The long-term management of natural capital is essential for the stable and resilient flow of ecosystem services for future generations facing climatic uncertainty. Understanding its resilience to extreme natural events, using biological principles, and integrating them into more holistic systems-wide modelling techniques is crucial to evaluate and design the wider economic impacts from alternative management interventions. Here we developed a probabilistic and system-wide bio-economic model to measure extreme economic impacts from natural events using the financial concept of Value at Risk. We have applied the new extreme economic impact metric to measure the economy-wide impact from the disruption of mountain-biking recreational services in the Whakarewarewa peri-urban forest in Rotorua, New Zealand from a potential windthrow event. We identified that extreme natural events, such as windthrows, could exert a substantial impact on the urban forest-dependent regional economy. This impact could potentially be intensified by the CO2 forest fertilization effects predicted under future climate scenarios and by adopting low-intensity silvicultural regimes currently rewarded by national climate change mitigation policies. Some of the insights from this study could be the precursors to develop robust adaptation strategies using robust decision-making techniques considering inclusive environmental-economic accounting frameworks.

Suggested Citation

  • Monge, Juan J. & McDonald, Garry W., 2020. "The Economy-Wide Value-at-Risk from the Exposure of Natural Capital to Climate Change and Extreme Natural Events: The Case of Wind Damage and Forest Recreational Services in New Zealand," Ecological Economics, Elsevier, vol. 176(C).
    • Handle: RePEc:eee:ecolec:v:176:y:2020:i:c:s0921800920302573
    DOI: 10.1016/j.ecolecon.2020.106747
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    1. Michael Greenberg & Charles Haas & Anthony Cox & Karen Lowrie & Katherine McComas & Warner North, 2012. "Ten Most Important Accomplishments in Risk Analysis, 1980–2010," Risk Analysis, John Wiley & Sons, vol. 32(5), pages 771-781, May.
    2. Jan Oosterhaven, 2017. "On the limited usability of the inoperability IO model," Economic Systems Research, Taylor & Francis Journals, vol. 29(3), pages 452-461, July.
    3. Yasuhide Okuyama & Joost R. Santos, 2014. "Disaster Impact And Input--Output Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 1-12, March.
    4. Dhakal, Bhubaneswor & Yao, Richard T. & Turner, James A. & Barnard, Tim, 2012. "Recreational users' willingness to pay and preferences for changes in planted forest features," Forest Policy and Economics, Elsevier, vol. 17(C), pages 34-44.
    5. Monge, Juan J. & Daigneault, Adam J. & Dowling, Leslie J. & Harrison, Duncan R. & Awatere, Shaun & Ausseil, Anne-Gaelle, 2018. "Implications of future climatic uncertainty on payments for forest ecosystem services: The case of the East Coast of New Zealand," Ecosystem Services, Elsevier, vol. 33(PB), pages 199-212.
    6. Andrade da Silva, Jorge & Cernat, Lucian, 2012. "Coping with loss: the impact of natural disasters on developing countries' trade flows," DG TRADE Chief Economist Notes 2012-1, Directorate General for Trade, European Commission.
    7. Wolf, Isabelle D. & Wohlfart, Teresa & Brown, Greg & Bartolomé Lasa, Abraham, 2015. "The use of public participation GIS (PPGIS) for park visitor management: A case study of mountain biking," Tourism Management, Elsevier, vol. 51(C), pages 112-130.
    8. Eduardo Cavallo & Sebastian Galiani & Ilan Noy & Juan Pantano, 2013. "Catastrophic Natural Disasters and Economic Growth," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1549-1561, December.
    9. Endreny, T. & Santagata, R. & Perna, A. & Stefano, C. De & Rallo, R.F. & Ulgiati, S., 2017. "Implementing and managing urban forests: A much needed conservation strategy to increase ecosystem services and urban wellbeing," Ecological Modelling, Elsevier, vol. 360(C), pages 328-335.
    10. United Nations, 2014. "System of Environmental-Economic Accounting 2012," World Bank Publications - Books, The World Bank Group, number 23959.
    11. Theodore A. Endreny, 2018. "Strategically growing the urban forest will improve our world," Nature Communications, Nature, vol. 9(1), pages 1-3, December.
    12. Monge, Juan J. & Bryant, Henry L. & Gan, Jianbang & Richardson, James W., 2016. "Land use and general equilibrium implications of a forest-based carbon sequestration policy in the United States," Ecological Economics, Elsevier, vol. 127(C), pages 102-120.
    13. Kousky, Carolyn, 2014. "Informing climate adaptation: A review of the economic costs of natural disasters," Energy Economics, Elsevier, vol. 46(C), pages 576-592.
    14. Yasuhide Okuyama, 2007. "Economic Modeling for Disaster Impact Analysis: Past, Present, and Future," Economic Systems Research, Taylor & Francis Journals, vol. 19(2), pages 115-124.
    15. Joost R. Santos & Krista Danielle S. Yu & Sheree Ann T. Pagsuyoin & Raymond R. Tan, 2014. "Time-Varying Disaster Recovery Model For Interdependent Economic Systems Using Hybrid Input--Output And Event Tree Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 60-80, March.
    16. Joost R. Santos & Yacov Y. Haimes, 2004. "Modeling the Demand Reduction Input‐Output (I‐O) Inoperability Due to Terrorism of Interconnected Infrastructures," Risk Analysis, John Wiley & Sons, vol. 24(6), pages 1437-1451, December.
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    1. Félix Bastit & Marielle Brunette & Claire Montagne-Huck, 2021. "Earth, wind and fire: A multi-hazard risk review for natural disturbances in forests," Working Papers of BETA 2021-25, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

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