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Economic Evaluation of an Invasive Forest Pathogen at a Large Scale : The Case of Ash Dieback in France

Author

Listed:
  • Claudio Petucco

    (ERIN - Environmental Research and Innovation (ERIN - Luxembourg Institute of Science and Technology) - LIST - Luxembourg Institute of Science and Technology)

  • Antonello Lobianco

    (AgroParisTech, 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)

  • 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)

Abstract

The invasion of a forest by a pathogen is a complex dynamic and spatial problem. The induced disturbances do not only reduce the present availability of the affected tree species but alter its future availability, population structure and distribution as well. These disturbances also have an impact on the prices of wood products via supply shocks, which, in turn, influence forest management choices, thus introducing feedback effects between market and ecological dynamics. The main objective of this paper is to evaluate the economic impact of an invasive pathogen at a large scale by integrating the biophysical and economic aspects of the invasion into a dynamic and spatially explicit setting. The analysis is developed using a modified version of the French Forest Sector Model (FFSM), a recursive partial equilibrium model, to which a specifically designed pathogen spread and mortality model have been coupled. We calibrated the model to represent the ash dieback invasion in France. Results showed that impacts are not homogeneous across regions and generally depend on the resource distribution, pathogen spread and market structure. We observed that the behavioural adaptation of forest managers (i.e. regeneration and harvesting choices) is a non-negligible component of the total standing volume loss.

Suggested Citation

  • Claudio Petucco & Antonello Lobianco & Sylvain Caurla, 2020. "Economic Evaluation of an Invasive Forest Pathogen at a Large Scale : The Case of Ash Dieback in France," Post-Print hal-03639337, HAL.
    • Handle: RePEc:hal:journl:hal-03639337
    DOI: 10.1007/s10666-019-09661-1
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-03639337
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    References listed on IDEAS

    as
    1. Sauquet, Alexandre & Lecocq, Franck & Delacote, Philippe & Caurla, Sylvain & Barkaoui, Ahmed & Garcia, Serge, 2011. "Estimating Armington elasticities for sawnwood and application to the French Forest Sector Model," Resource and Energy Economics, Elsevier, vol. 33(4), pages 771-781.
    2. Lobianco, Antonello & Delacote, Philippe & Caurla, Sylvain & Barkaoui, Ahmed, 2015. "The importance of introducing spatial heterogeneity in bio-economic forest models: Insights gleaned from FFSM++," Ecological Modelling, Elsevier, vol. 309, pages 82-92.
    3. Alexandre Sauquet & Ahmed Barkaoui & Sylvain Caurla & Philippe Delacote & Serge Garcia & Franck Lecocq, 2011. "Estimating Armington elasticities for sawnwood and application to the French Forest Sector Model," Post-Print halshs-00688822, HAL.
    4. Sylvain Caurla & Philippe Delacote & Franck Lecocq & Ahmed Barkaoui, 2013. "Stimulating fuelwood consumption through public policies: an assessment of economic and resource impacts based on the french forest sector model," Post-Print hal-01072295, HAL.
    5. Tarek Soliman & Monique C M Mourits & Wopke van der Werf & Geerten M Hengeveld & Christelle Robinet & Alfons G J M Oude Lansink, 2012. "Framework for Modelling Economic Impacts of Invasive Species, Applied to Pine Wood Nematode in Europe," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-12, September.
    6. Sales, Marcio H. & Souza, Carlos M. & Kyriakidis, Phaedon C. & Roberts, Dar A. & Vidal, Edson, 2007. "Improving spatial distribution estimation of forest biomass with geostatistics: A case study for Rondônia, Brazil," Ecological Modelling, Elsevier, vol. 205(1), pages 221-230.
    7. Caurla, Sylvain & Delacote, Philippe & Lecocq, Franck & Barkaoui, Ahmed, 2013. "Stimulating fuelwood consumption through public policies: An assessment of economic and resource impacts based on the French Forest Sector Model," Energy Policy, Elsevier, vol. 63(C), pages 338-347.
    8. Pimentel, David & Zuniga, Rodolfo & Morrison, Doug, 2005. "Update on the environmental and economic costs associated with alien-invasive species in the United States," Ecological Economics, Elsevier, vol. 52(3), pages 273-288, February.
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    Cited by:

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    2. Jun Zhai & Zhuo Ning, 2022. "Models for the Economic Impacts of Forest Disturbances: A Systematic Review," Land, MDPI, vol. 11(9), pages 1-16, September.

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