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Estimating climate service value in forestry : The case of climate information on drought for maritime pine in Southwestern France

Author

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  • Sylvain Caurla

    (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Antonello Lobianco

    (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, AgroParisTech)

Abstract

In Western Europe, future climate changes go hand-in-hand with increasing risks of droughts and heat waves during summer. For forest ecosystems, a drought may result in both an increase in tree mortality and a reduction in tree growth. These impacts are delayed over time, i.e., there is a time gap between the drought and its impacts on the forest stand, which makes it possible to adjust forest management practices and, in particular, to prematurely harvest the impacted stand and to replant a new one if it is economically profitable to do so. Consequently, we define Climate Services (CS) as the information that supports forest owners in their decision to prematurely harvest or not after a drought. Our paper aims at developing a method to estimate the economic value of these CS in the case of a maritime pine stand in Southwestern France. Using a comparison of Land Expected Values (LEV) over an infinite period of forest rotations, our analysis suggests that the Climate Service Value (CSV) is highly dependent on three characteristics: (1) the age of the forest exposed to the drought; (2) the intensity of the drought in terms of both mortality and growth impacts; and (3) the discount rate value used. Overall, for a 2% discount rate for a young stand (less than 15–20 years old), the CSV is rather low and ranges from 0 to €50/ha depending on the intensity of the drought. However, for a mature stand, the CSV rapidly increases, up to a maximum the year before the optimal harvest date. In this latter case, the CSV may be as high as €4900/ha for intense droughts.

Suggested Citation

  • Sylvain Caurla & Antonello Lobianco, 2020. "Estimating climate service value in forestry : The case of climate information on drought for maritime pine in Southwestern France," Post-Print hal-02617889, HAL.
    • Handle: RePEc:hal:journl:hal-02617889
    DOI: 10.1016/j.cliser.2019.100106
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-02617889
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    References listed on IDEAS

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    1. Buongiorno, Joseph & Zhou, Mo, 2011. "Further generalization of Faustmann's formula for stochastic interest rates," Journal of Forest Economics, Elsevier, vol. 17(3), pages 248-257, August.
    2. 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.
    3. Ronald W. Hilton, 1981. "The Determinants of Information Value: Synthesizing Some General Results," Management Science, INFORMS, vol. 27(1), pages 57-64, January.
    4. Andersson, Mats, 2012. "Assessing non-industrial private forest owners’ attitudes to risk: Do owner and property characteristics matter?," Journal of Forest Economics, Elsevier, vol. 18(1), pages 3-13.
    5. Price, Colin, 2017. "Optimal rotation with differently-discounted benefit streams," Journal of Forest Economics, Elsevier, vol. 26(C), pages 1-8.
    6. Lechthaler, Filippo & Vinogradova, Alexandra, 2017. "The climate challenge for agriculture and the value of climate services: Application to coffee-farming in Peru," European Economic Review, Elsevier, vol. 99(C), pages 5-30.
    7. James W. Mjelde & Steven T. Sonka & Bruce L. Dixon & Peter J. Lamb, 1988. "Valuing Forecast Characteristics in a Dynamic Agricultural Production System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 674-684.
    8. Mason Gaffney, 2008. "Keeping Land in Capital Theory: Ricardo, Faustmann, Wicksell, and George," American Journal of Economics and Sociology, Wiley Blackwell, vol. 67(1), pages 119-141, January.
    9. Chang, Sun Joseph & Gadow, Klaus V., 2010. "Application of the generalized Faustmann model to uneven-aged forest management," Journal of Forest Economics, Elsevier, vol. 16(4), pages 313-325, December.
    10. Bert, Federico E. & Satorre, Emilio H. & Toranzo, Fernando Ruiz & Podesta, Guillermo P., 2006. "Climatic information and decision-making in maize crop production systems of the Argentinean Pampas," Agricultural Systems, Elsevier, vol. 88(2-3), pages 180-204, June.
    11. 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.
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