IDEAS home Printed from https://ideas.repec.org/p/ulp/sbbeta/2020-31.html
   My bibliography  Save this paper

Composition diversification vs. structure diversification: How to conciliate timber production and carbon sequestration objectives under drought and windstorm risks in forest ecosystems

Author

Listed:
  • Sandrine Brèteau-Amores
  • Rasoul Yousefpour
  • Marc Hanewinkel
  • Mathieu Fortin

Abstract

Forests provide ecosystem services such as timber production and carbon sequestration. However, forests are sensitive to climate change, and financial and amenity losses are expected for forest owners and society, respectively. The forests in the Grand-Est region, France, are dominated by European beech, for which a decline is anticipated due to repeated drought events induced by climate change. These forest ecosystems are also threatened by windstorm events. Beech forests need to adapt and diversification can decrease drought and windstorm risks. In this context, the objective of the paper was to compare different forest adaptation strategies from an economic perspective with the objective of reducing drought- and windstorm-induced risks of dieback. For this purpose, we studied two types of diversification that we analysed separately and jointly: Mixing beech with oak and diversifying stand structure (i.e. from an even-aged to an uneven-aged forest). We also considered two types of loss (financial, and in terms of carbon sequestration) under different recurrences of drought and windstorm risks. We combined a forest growth simulator with a forest economic approach through the computation of land expectation value (LEV). Maximizing the LEV criterion made it possible to identify the best adaptation strategies in economic terms. The results show that diversification increases timber production and LEV, but reduces carbon storage. The two risks as well as the adaptation strategies show some synergies. Finally, trade-offs between the financial balance and the carbon balance (i.e. adaptation vs. mitigation) are possible.

Suggested Citation

  • Sandrine Brèteau-Amores & Rasoul Yousefpour & Marc Hanewinkel & Mathieu Fortin, 2020. "Composition diversification vs. structure diversification: How to conciliate timber production and carbon sequestration objectives under drought and windstorm risks in forest ecosystems," Working Papers of BETA 2020-31, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  • Handle: RePEc:ulp:sbbeta:2020-31
    as

    Download full text from publisher

    File URL: http://beta.u-strasbg.fr/WP/2020/2020-31.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brunette, M. & Holecy, J. & Sedliak, M. & Tucek, J. & Hanewinkel, M., 2015. "An actuarial model of forest insurance against multiple natural hazards in fir (Abies Alba Mill.) stands in Slovakia," Forest Policy and Economics, Elsevier, vol. 55(C), pages 46-57.
    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. Patrice Loisel & Marielle Brunette & Stéphane Couture, 2022. "Ambiguity, value of information and forest rotation decision under storm risk," Working Papers hal-03796414, HAL.
    2. Julien JACOB & Antoine LEBLOIS & Marielle BRUNETTE, 2024. "An economic analysis of a storage policy after a storm occurrence in forestry," Working Papers of BETA 2024-27, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

    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. Michaela Korená Hillayová & Klára Báliková & Blanka Giertliová & Josef Drábek & Ján Holécy, 2021. "Possibilities of forest property insurance against the risk of fire in Slovakia," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 67(5), pages 204-211.
    2. Yiling Deng & Ian A. Munn & Haibo Yao, 2021. "Attributes‐based conjoint analysis of landowner preferences for standing timber insurance," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 24(4), pages 421-444, December.
    3. Marielle Brunette & Marc Hanewinkel, 2021. "Assurance financière et assurance naturelle : une application à la forêt," Working Papers of BETA 2021-28, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    4. Patrice Loisel & Marielle Brunette & Stéphane Couture, 2020. "Insurance and Forest Rotation Decisions Under Storm Risk," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(2), pages 347-367, July.
    5. Qin, Tao & Gu, Xuesong & Tian, Zhiwei & Pan, Huanxue & Deng, Jing & Wan, Li, 2016. "An empirical analysis of the factors influencing farmer demand for forest insurance: Based on surveys from Lin’an County in Zhejiang Province of China," Journal of Forest Economics, Elsevier, vol. 24(C), pages 37-51.
    6. Feng, Xin & Dai, Yongwu, 2019. "An innovative type of forest insurance in China based on the robust approach," Forest Policy and Economics, Elsevier, vol. 104(C), pages 23-32.
    7. Marielle Brunette & Stéphane Couture & Jérôme Foncel & Serge S. Garcia, 2017. "Insurance decision against forest fire : An econometric analysis combining experimental and real data," Post-Print hal-02785187, HAL.
    8. Sandrine Brèteau-Amores & Marielle Brunette & Christophe François & Antoine Leblois & Nicolas Martin-StPaul, 2021. "Index insurance for coping with drought-induced risk of production losses in French forests," Working Papers of BETA 2021-44, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    9. Félix Bastit & Marielle Brunette & Claire Montagne-Huck, 2021. "Earth, wind and fire: A multi-hazard risk review for natural disturbances in forests," Working Papers of BETA 2021-25, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    10. M. Brunette & S. Couture & J. Foncel & S. Garcia, 2020. "The decision to insure against forest fire risk: an econometric analysis combining hypothetical real data," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 111-133, January.
    11. Sauter, Philipp A. & Möllmann, Torsten B. & Anastassiadis, Friederike & Mußhoff, Oliver & Möhring, Bernhard, 2016. "To insure or not to insure? Analysis of foresters' willingness-to-pay for fire and storm insurance," Forest Policy and Economics, Elsevier, vol. 73(C), pages 78-89.
    12. Selene Perazzini & Giorgio Stefano Gnecco & Fabio Pammolli, 2020. "A Public-Private Insurance Model for Natural Risk Management: an Application to Seismic and Flood Risks on Residential Buildings in Italy," Papers 2006.05840, arXiv.org.
    13. Cipollaro, Maria & Sacchelli, Sandro, 2018. "Demand and potential subsidy level for forest insurance market in Demand and potential subsidy level for forest insurance market in Italy," 2018 Seventh AIEAA Conference, June 14-15, Conegliano, Italy 275647, Italian Association of Agricultural and Applied Economics (AIEAA).
    14. Sacchelli, Sandro & Cipollaro, Maria & Fabbrizzi, Sara, 2018. "A GIS-based model for multiscale forest insurance analysis: The Italian case study," Forest Policy and Economics, Elsevier, vol. 92(C), pages 106-118.

    More about this item

    Keywords

    Drought; Windstorm; Adaptation; Climate change; Mixture; Economics; Multi-risks; Carbon.;
    All these keywords.

    JEL classification:

    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:ulp:sbbeta:2020-31. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bestrfr.html .

    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.