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Forest management under fire risk when forest carbon sequestration has value

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  • Couture, Stéphane
  • Reynaud, Arnaud

Abstract

We develop a multiple forest use model to determine the optimal harvest date for a forest stand producing both timber and carbon benefits under a risk of fire. An empirical application is provided for a forest owner producing maritime pine in Southwest of France. Our results indicate that a higher risk of fire will decrease the optimal rotation period. On the contrary, higher carbon prices increase the optimal harvesting age. To investigate the contradictory effects of fire risk and carbon price on forest rotation, we identify the set of carbon prices and fire risks that lead to a given rotation age. We also show that forest owner's willingness to pay for a risk reduction can be substantial (37.33Â euros by ha and by year to reduce the annual fire risk from 1.26% to 0.07%).

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  • Couture, Stéphane & Reynaud, Arnaud, 2011. "Forest management under fire risk when forest carbon sequestration has value," Ecological Economics, Elsevier, vol. 70(11), pages 2002-2011, September.
  • Handle: RePEc:eee:ecolec:v:70:y:2011:i:11:p:2002-2011
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    Cited by:

    1. Gren, Ing-Marie & Carlsson, Mattias & Elofsson, Katarina & Munnich, Miriam, 2012. "Stochastic carbon sinks for combating carbon dioxide emissions in the EU," Energy Economics, Elsevier, vol. 34(5), pages 1523-1531.
    2. Susaeta, Andres & Chang, Sun Joseph & Carter, Douglas R. & Lal, Pankaj, 2014. "Economics of carbon sequestration under fluctuating economic environment, forest management and technological changes: An application to forest stands in the southern United States," Journal of Forest Economics, Elsevier, vol. 20(1), pages 47-64.
    3. Anderson, Blake & M'Gonigle, Michael, 2012. "Does ecological economics have a future?," Ecological Economics, Elsevier, vol. 84(C), pages 37-48.
    4. repec:eee:foreco:v:28:y:2017:i:c:p:18-32 is not listed on IDEAS
    5. Nguyen, Trung Thanh & Nghiem, Nhung, 2016. "Optimal forest rotation for carbon sequestration and biodiversity conservation by farm income levels," Forest Policy and Economics, Elsevier, vol. 73(C), pages 185-194.
    6. Couture, Stéphane & Cros, Marie-Josée & Sabbadin, Régis, 2016. "Risk aversion and optimal management of an uneven-aged forest under risk of windthrow: A Markov decision process approach," Journal of Forest Economics, Elsevier, vol. 25(C), pages 94-114.
    7. Pukkala, Timo, 2011. "Optimizing forest management in Finland with carbon subsidies and taxes," Forest Policy and Economics, Elsevier, vol. 13(6), pages 425-434, July.
    8. Hernandez, M. & Gómez, T. & Molina, J. & León, M.A. & Caballero, R., 2014. "Efficiency in forest management: A multiobjective harvest scheduling model," Journal of Forest Economics, Elsevier, vol. 20(3), pages 236-251.
    9. Zhou, Mo, 2015. "Adapting sustainable forest management to climate policy uncertainty: A conceptual framework," Forest Policy and Economics, Elsevier, vol. 59(C), pages 66-74.
    10. Gaspard Dumollard & Stéphane De Cara, 2017. "Land allocation between a multiple-stand forest and agriculture under storm risk and recursive preferences," Post-Print hal-01671595, HAL.
    11. Ekholm, Tommi, 2016. "Optimal forest rotation age under efficient climate change mitigation," Forest Policy and Economics, Elsevier, vol. 62(C), pages 62-68.
    12. Cerdá, Emilio & Martín-Barroso, David, 2013. "Optimal control for forest management and conservation analysis in dehesa ecosystems," European Journal of Operational Research, Elsevier, vol. 227(3), pages 515-526.
    13. G. Cornelis van Kooten & Tim Bogle & Frans P. de Vries, 2012. "Rent Seeking and the Smoke and Mirrors Game in the Creation of Forest Sector Carbon Credits: An Example from British Columbia," Working Papers 2012-06, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.

    More about this item

    Keywords

    Forest economics Carbon sequestration Fire risk Climate change Stochastic dynamic programming;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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