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Adaptive Optimization of Forest Management in A Stochastic World

In: Handbook Of Operations Research In Natural Resources

Author

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  • Peter Lohmander

    (SLU)

Abstract

Management decisions should be based on the sequentially revealed information concerning prices, growth, physical damages etc. Future flexibility is valuable in a stochastic world and should be optimized. Stochastic dynamic programming, stochastic scenario tree optimization, and optimization of adaptive control functions with stochastic simulation of the objective function are relevant alternatives.

Suggested Citation

  • Peter Lohmander, 2007. "Adaptive Optimization of Forest Management in A Stochastic World," International Series in Operations Research & Management Science, in: Andres Weintraub & Carlos Romero & Trond Bjørndal & Rafael Epstein & Jaime Miranda (ed.), Handbook Of Operations Research In Natural Resources, chapter 0, pages 525-543, Springer.
    • Handle: RePEc:spr:isochp:978-0-387-71815-6_28
    DOI: 10.1007/978-0-387-71815-6_28
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    Citations

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    Cited by:

    1. Miguel A. Lejeune & Janne Kettunen, 2017. "Managing Reliability and Stability Risks in Forest Harvesting," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 620-638, October.
    2. Pukkala, Timo, 2016. "Plenterwald, Dauerwald, or clearcut?," Forest Policy and Economics, Elsevier, vol. 62(C), pages 125-134.
    3. Naumov, Vladimir & Angelstam, Per & Elbakidze, Marine, 2016. "Barriers and bridges for intensified wood production in Russia: Insights from the environmental history of a regional logging frontier," Forest Policy and Economics, Elsevier, vol. 66(C), pages 1-10.
    4. Susaeta, Andres & Gong, Peichen, 2019. "Economic viability of longleaf pine management in the Southeastern United States," Forest Policy and Economics, Elsevier, vol. 100(C), pages 14-23.
    5. Rakotoarison, Hanitra & Loisel, Patrice, 2016. "The Faustmann model under storm risk and price uncertainty: A case study of European beech in Northwestern France," MPRA Paper 85114, University Library of Munich, Germany.
    6. Soleiman MOHAMMADI LIMAEI & Peter LOHMANDER & Leif OLSSON, 2017. "Dynamic growth models for continuous cover multi-species forestry in Iranian Caspian forests," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 63(11), pages 519-529.
    7. Yousefpour, Rasoul & Hanewinkel, Marc, 2009. "Modelling of forest conversion planning with an adaptive simulation-optimization approach and simultaneous consideration of the values of timber, carbon and biodiversity," Ecological Economics, Elsevier, vol. 68(6), pages 1711-1722, April.

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