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Incorporating Ecosystem Health and Fire Resilience Within the Unified Economic Model of Fire Program Analysis

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  • Fitch, Ryan A.
  • Kim, Yeon Su

Abstract

We expand on a budget constrained, wildfire program optimization model to include a decision variable input for ecosystem health and fire resilience (H). With ecosystem health and fire resilience as a decision variable, two ecosystem states are delineated; the ecosystem can be within or outside its range of variability. The Southwest ponderosa pine ecosystem is used to illustrate the effects of fuels or restoration treatments on the decision variable input H within the probabilistic production function for wildfire losses. To estimate the health and fire resilience of the ecosystem, a short-term metric of ecosystem health (trees per acre for Southwest ponderosa pine) is used. Analysis of how the state of the ecosystem affects the optimization of the probabilistic production function for wildfire loss is carried out on the two ecosystem states. Results indicate that if the ecosystem is outside its range of variability, optimization of the objective function cannot be achieved. However, if the ecosystem is within its range of variability or if the ecosystem is transitioned within its range of variability through fuels or restoration treatments, the objective function can be optimized with respect to the decision input variables.

Suggested Citation

  • Fitch, Ryan A. & Kim, Yeon Su, 2018. "Incorporating Ecosystem Health and Fire Resilience Within the Unified Economic Model of Fire Program Analysis," Ecological Economics, Elsevier, vol. 149(C), pages 98-104.
    • Handle: RePEc:eee:ecolec:v:149:y:2018:i:c:p:98-104
    DOI: 10.1016/j.ecolecon.2018.02.017
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    References listed on IDEAS

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    1. Fitch, Ryan A. & Kim, Yeon Su & Waltz, Amy E.M. & Crouse, Joe E., 2018. "Changes in potential wildland fire suppression costs due to restoration treatments in Northern Arizona Ponderosa pine forests," Forest Policy and Economics, Elsevier, vol. 87(C), pages 101-114.
    2. Wu, Tong & Kim, Yeon-Su, 2013. "Pricing ecosystem resilience in frequent-fire ponderosa pine forests," Forest Policy and Economics, Elsevier, vol. 27(C), pages 8-12.
    3. Brian Walker & Leonie Pearson & Michael Harris & Karl-Göran Maler & Chuan-Zhong Li & Reinette Biggs & Tim Baynes, 2010. "Incorporating Resilience in the Assessment of Inclusive Wealth: An Example from South East Australia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(2), pages 183-202, February.
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    Cited by:

    1. Rossi, David & Kuusela, Olli-Pekka & Dunn, Christopher, 2022. "A microeconometric analysis of wildfire suppression decisions in the Western United States," Ecological Economics, Elsevier, vol. 200(C).
    2. Kim, Yeon-Su & Rodrigues, Marcos & Robinne, François-Nicolas, 2021. "Economic drivers of global fire activity: A critical review using the DPSIR framework," Forest Policy and Economics, Elsevier, vol. 131(C).

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