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EvaSylv: A user-friendly software to evaluate forestry scenarii including natural risk

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  • Patrice Loisel

    (MISTEA - Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

  • Guillerme Duvillié

    (GOM - Graphes et Optimisation Mathématique [Bruxelles] - ULB - Université libre de Bruxelles)

  • Denis Barbeau
  • Brigitte Charnomordic

    (MISTEA - Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

Abstract

Forest management relies on the evaluation of silviculture practices. The increase in natural risk due to climate change makes it necessary to consider evaluation criteria that take natural risk into account. Risk integration in existing software requires advanced programming skills. We propose a user-friendly software to simulate even-aged and monospecific forest at the stand level, in order to evaluate and optimize forest management. The software gives the possibility to run management scenarii with or without considering the impact of natural risk. The control variables are the dates and rates of thinning and the cutting age. The risk model is based on a Poisson processus. The Faustmann approach, including tree damage risk, is used to evaluate future benefits, economic or ecosystem services. It relies on the calculation of expected values, for which a dedicated mathematical development has been done. The optimized criteria used to evaluate the various scenarii are the Faustmann value and the Averaged yield value. We illustrate the approach and the software on two case studies: economic optimization of a beech stand and carbon sequestration optimization of a pine stand. Software interface makes it easy for users to write their own (growth-tree damage-economic) models without advanced programming skills. The possibility to run management scenarii with/without considering the impact of natural risk may contribute improving silviculture guidelines and adapting them to climate change. We propose future lines of research and improvement.

Suggested Citation

  • Patrice Loisel & Guillerme Duvillié & Denis Barbeau & Brigitte Charnomordic, 2019. "EvaSylv: A user-friendly software to evaluate forestry scenarii including natural risk," Working Papers hal-02282504, HAL.
    • Handle: RePEc:hal:wpaper:hal-02282504
    Note: View the original document on HAL open archive server: https://hal.science/hal-02282504
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    References listed on IDEAS

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    1. Loisel, Patrice, 2014. "Impact of storm risk on Faustmann rotation," Forest Policy and Economics, Elsevier, vol. 38(C), pages 191-198.
    2. Patrice, Loisel, 2011. "Faustmann rotation and population dynamics in the presence of a risk of destructive events," Journal of Forest Economics, Elsevier, vol. 17(3), pages 235-247, August.
    3. 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.
    4. Reed, William J., 1984. "The effects of the risk of fire on the optimal rotation of a forest," Journal of Environmental Economics and Management, Elsevier, vol. 11(2), pages 180-190, June.
    5. Price, Colin & Willis, Rob, 2011. "The multiple effects of carbon values on optimal rotation," Journal of Forest Economics, Elsevier, vol. 17(3), pages 298-306, August.
    Full references (including those not matched with items on IDEAS)

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    Keywords

    simulation; storm risk; stand level; optimization; forest management; Decision Support System; natural risk; 29; Faustmann;
    All these keywords.

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