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Adapting forest management practices to climate change: Lessons from a survey of French private forest owners

Author

Listed:
  • Julie Thomas
  • Marielle Brunette
  • Antoine Leblois

Abstract

Climate change seriously impacts forest ecosystems. In order to maintain forest cover, adaptation strategies should be implemented. In France, adaptation decisions are mainly in the hands of private forest owners. However, little is known about the way they perceive climate change or about their decisions related to adaptation. The aim of this article is precisely to obtain such information through a survey conducted among more than 900 French private forest owners. We identified determinants to the adoption of adaptation (gender, area, profession, having a management document, perception of climate change impact). More importantly, we show that the decision of adaptation should not be thought of in general but strategy-by-strategy because we identified strategy-dependent drivers. The article concludes with a discussion about the public policy implications of the results.

Suggested Citation

  • Julie Thomas & Marielle Brunette & Antoine Leblois, 2021. "Adapting forest management practices to climate change: Lessons from a survey of French private forest owners," Working Papers of BETA 2021-05, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    • Handle: RePEc:ulp:sbbeta:2021-05
    as

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    File URL: http://beta.u-strasbg.fr/WP/2021/2021-05.pdf
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    References listed on IDEAS

    as
    1. Eric Nazindigouba KERE & Jérôme FONCEL & Marielle BRUNETTE, 2014. "Attitude towards Risk and Production Decision: An Empirical analysis on French private forest owners," Working Papers 201410, CERDI.
    2. Brèteau-Amores, Sandrine & Brunette, Marielle & Davi, Hendrik, 2019. "An Economic Comparison of Adaptation Strategies Towards a Drought-induced Risk of Forest Decline," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    3. Marielle Brunette & Sandrine Costa & Franck Lecocq, 2012. "Economics of Species Change under Risk of Climate Change and Increasing Information: A (Quasi-)Option Value Analysis," Working Papers - Cahiers du LEF 2012-05, Laboratoire d'Economie Forestiere, AgroParisTech-INRA, revised Sep 2012.
    4. Rupert Seidl & Mart-Jan Schelhaas & Werner Rammer & Pieter Johannes Verkerk, 2014. "Increasing forest disturbances in Europe and their impact on carbon storage," Nature Climate Change, Nature, vol. 4(9), pages 806-810, September.
    5. Marielle Brunette & Nathalie Breda, 2019. "Are 40 years better than 55 ? An analysis of the reduction of forest rotation to face drought event in a Douglas fir stand," Post-Print hal-02118104, HAL.
    6. M. Brunette & M. Hanewinkel & R. Yousefpour, 2020. "Risk aversion hinders forestry professionals to adapt to climate change," Climatic Change, Springer, vol. 162(4), pages 2157-2180, October.
    7. Anna Jönsson & Fredrik Lagergren & Benjamin Smith, 2015. "Forest management facing climate change - an ecosystem model analysis of adaptation strategies," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(2), pages 201-220, February.
    8. 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.
    9. Sousa-Silva, Rita & Verbist, Bruno & Lomba, Ângela & Valent, Peter & Suškevičs, Monika & Picard, Olivier & Hoogstra-Klein, Marjanke A. & Cosofret, Vasile-Cosmin & Bouriaud, Laura & Ponette, Quentin & , 2018. "Adapting forest management to climate change in Europe: Linking perceptions to adaptive responses," Forest Policy and Economics, Elsevier, vol. 90(C), pages 22-30.
    10. Schou, Erik & Jacobsen, Jette Bredahl & Kristensen, Kristian Løkke, 2012. "An economic evaluation of strategies for transforming even-aged into near-natural forestry in a conifer-dominated forest in Denmark," Forest Policy and Economics, Elsevier, vol. 20(C), pages 89-98.
    11. Rupert Seidl & Mart-Jan Schelhaas & Werner Rammer & Pieter Johannes Verkerk, 2014. "Correction: Corrigendum: Increasing forest disturbances in Europe and their impact on carbon storage," Nature Climate Change, Nature, vol. 4(10), pages 930-930, October.
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    More about this item

    Keywords

    adaptation; forest; survey; French private forest owners.;
    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

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