IDEAS home Printed from https://ideas.repec.org/a/eee/ecolec/v149y2018icp98-104.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0921800917312934
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolecon.2018.02.017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Drupp, Moritz A. & Baumgärtner, Stefan & Meyer, Moritz & Quaas, Martin F. & von Wehrden, Henrik, 2020. "Between Ostrom and Nordhaus: The research landscape of sustainability economics," Ecological Economics, Elsevier, vol. 172(C).
    2. Saúl Torres Ortega & Nick Hanley & Pedro Diaz Simal, 2014. "A Proposed Methodology for Prioritizing Project Effects to Include in Cost-Benefit Analysis Using Resilience, Vulnerability and Risk Perception," Sustainability, MDPI, vol. 6(11), pages 1-22, November.
    3. Admiraal, Jeroen F. & Wossink, Ada & de Groot, Wouter T. & de Snoo, Geert R., 2013. "More than total economic value: How to combine economic valuation of biodiversity with ecological resilience," Ecological Economics, Elsevier, vol. 89(C), pages 115-122.
    4. Carl Obst & Lars Hein & Bram Edens, 2016. "National Accounting and the Valuation of Ecosystem Assets and Their Services," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(1), pages 1-23, May.
    5. Strunz, Sebastian, 2012. "Is conceptual vagueness an asset? Arguments from philosophy of science applied to the concept of resilience," Ecological Economics, Elsevier, vol. 76(C), pages 112-118.
    6. Aart Zeeuw & Chuan-Zhong Li, 2016. "The Economics of Tipping Points," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(3), pages 513-517, November.
    7. Li Xu & Dora Marinova, 2013. "Resilience thinking: a bibliometric analysis of socio-ecological research," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 911-927, September.
    8. Mã„Ler, Karl-Gã–Ran & Li, Chuan-Zhong, 2010. "Measuring sustainability under regime shift uncertainty: a resilience pricing approach," Environment and Development Economics, Cambridge University Press, vol. 15(6), pages 707-719, December.
    9. Matsushita, Kyohei & Yamane, Fumihiro & Asano, Kota, 2016. "Linkage between crop diversity and agro-ecosystem resilience: Nonmonotonic agricultural response under alternate regimes," Ecological Economics, Elsevier, vol. 126(C), pages 23-31.
    10. Adrienne B. Soder & Julie M. Mueller & Abraham E. Springer & Katelyn E. LaPine, 2022. "Geospatial Analysis of Nonmarket Values to Prioritize Forest Restoration," Land, MDPI, vol. 11(9), pages 1-13, August.
    11. Massimiliano Agovino & Massimiliano Cerciello & Aniello Ferraro & Antonio Garofalo, 2021. "Spatial analysis of wildfire incidence in the USA: the role of climatic spillovers," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 6084-6105, April.
    12. Hamilton,Kirk E., 2013. "Biodiversity and national accounting," Policy Research Working Paper Series 6441, The World Bank.
    13. Chuan-Zhong Li & Ranjula Bali Swain, 2016. "Growth, Water Resilience, and Sustainability: A DSGE Model Applied to South Africa," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 2(04), pages 1-23, December.
    14. Xiaoying Liang & Hui Jia & Hai Chen & Di Liu & Hang Zhang, 2018. "Landscape Sustainability in the Loess Hilly Gully Region of the Loess Plateau: A Case Study of Mizhi County in Shanxi Province, China," Sustainability, MDPI, vol. 10(9), pages 1-12, September.
    15. Yagi, Michiyuki & Managi, Shunsuke, 2018. "Shadow price of patent stock as knowledge stock: Time and country heterogeneity," Economic Analysis and Policy, Elsevier, vol. 60(C), pages 43-61.
    16. Jiarong Xie, 2023. "Identifying and Ranking the Dimensions of Urban Resilience and Its Effect on Sustainable Urban Development in Tongdejie, China," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    17. Daniels, Silvie & Bellmore, J. Ryan & Benjamin, Joseph R. & Witters, Nele & Vangronsveld, Jaco & Van Passel, Steven, 2018. "Quantification of the Indirect Use Value of Functional Group Diversity Based on the Ecological Role of Species in the Ecosystem," Ecological Economics, Elsevier, vol. 153(C), pages 181-194.
    18. Crépin, Anne-Sophie & Biggs, Reinette & Polasky, Stephen & Troell, Max & de Zeeuw, Aart, 2012. "Regime shifts and management," Ecological Economics, Elsevier, vol. 84(C), pages 15-22.
    19. Nathalie Long & Cécile Bazart & Hélène Rey-Valette, 2022. "Inequalities and solidarities: interactions and impacts of sea-level-rise adaptation policies," Post-Print hal-03597828, HAL.
    20. Thomas Knoke & Carola Paul & Elizabeth Gosling & Isabelle Jarisch & Johannes Mohr & Rupert Seidl, 2023. "Assessing the Economic Resilience of Different Management Systems to Severe Forest Disturbance," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(2), pages 343-381, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecolec:v:149:y:2018:i:c:p:98-104. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolecon .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.