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Conceptual Framework for Assessing the Sustainability of Forest Fuel Reduction Treatments and Their Adaptation to Climate Change

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  • Tony Prato

    (Department of Agricultural and Applied Economics, University of Missouri-Columbia, 355 Wild West Dr., Eureka, MT 59917-4000, USA)

Abstract

Applying f uel reduction treatments (FRTs) to forested landscapes can alleviate undesirable changes in wildfire benefits and costs due to climate change. A conceptual framework was developed for determining the preferred FRTs across planning periods, adapting FRTs to future climate change, assessing the sustainability of adaptive responses to climate change, and evaluating the validity of the two premises motivating this issue of Sustainability . The conceptual framework: (1) accounts for uncertainty about future climate change and its effects on management objectives for FRTs; (2) employs biophysical simulation and mental models to estimate the management objectives for FRTs; (3) uses fuzzy TOPSIS to determine the preferred FRTs for climate futures; (4) employs the minimax regret criterion to identify the preferred FRT for each planning period; (5) determines the best strategy for adapting FRTs to future climate change; and (6) assesses landscape sustainability when using the preferred FRTs. The framework is demonstrated with constructed examples for adapting FRTs to climate change for privately- and publicly-owned forested landscapes. Based on the conceptual framework, current knowledge does not allow determining with certainty whether managers’ adaptations of FRTs to future climate change are sustainable or unsustainable due to type I and II decision errors.

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  • Tony Prato, 2015. "Conceptual Framework for Assessing the Sustainability of Forest Fuel Reduction Treatments and Their Adaptation to Climate Change," Sustainability, MDPI, vol. 7(4), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:4:p:3571-3591:d:47364
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    References listed on IDEAS

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    1. J. Brian Hardaker & James W. Richardson & Gudbrand Lien & Keith D. Schumann, 2004. "Stochastic efficiency analysis with risk aversion bounds: a simplified approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 253-270, June.
    2. A. Westerling & B. Bryant & H. Preisler & T. Holmes & H. Hidalgo & T. Das & S. Shrestha, 2011. "Climate change and growth scenarios for California wildfire," Climatic Change, Springer, vol. 109(1), pages 445-463, December.
    3. Prato, Tony, 2007. "Assessing ecosystem sustainability and management using fuzzy logic," Ecological Economics, Elsevier, vol. 61(1), pages 171-177, February.
    4. Dunn, Elizabeth G. & Keller, James M. & Marks, Leonie A., 1996. "Fuzzy Multiple Attribute Decision Making (MADM): A Tool for Agricultural and Resource Economics," 1996 Annual Meeting, July 28-31, San Antonio, Texas 271481, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Yosef Jabareen, 2014. "An Assessment Framework for Cities Coping with Climate Change: The Case of New York City and its PlaNYC 2030," Sustainability, MDPI, vol. 6(9), pages 1-22, September.
    6. Andriantiatsaholiniaina, Luc A. & Kouikoglou, Vassilis S. & Phillis, Yannis A., 2004. "Evaluating strategies for sustainable development: fuzzy logic reasoning and sensitivity analysis," Ecological Economics, Elsevier, vol. 48(2), pages 149-172, February.
    7. Prato, Tony, 2012. "Increasing resilience of natural protected areas to future climate change: A fuzzy adaptive management approach," Ecological Modelling, Elsevier, vol. 242(C), pages 46-53.
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    Cited by:

    1. Edgar Lorenzo-Sáez & Jose-Vicente Oliver-Villanueva & Victoria Lerma-Arce & Celia Yagüe-Hurtado & Lenin Guillermo Lemus-Zúñiga, 2021. "Potential Analysis of Mediterranean Forestry for Offsetting GHG Emissions at Regional Level: Evidence from Valencia, Spain," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    2. Huiru Zhao & Nana Li, 2016. "Performance Evaluation for Sustainability of Strong Smart Grid by Using Stochastic AHP and Fuzzy TOPSIS Methods," Sustainability, MDPI, vol. 8(2), pages 1-22, January.

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