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The importance of introducing spatial heterogeneity in bio-economic forest models: Insights gleaned from FFSM++

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  • Lobianco, Antonello
  • Delacote, Philippe
  • Caurla, Sylvain
  • Barkaoui, Ahmed

Abstract

Given the importance of anthropogenic determinants in forest ecosystems within Europe, the objective of the FFSM++ model is to link the evidence arising from biological models to socio-economic determinants, where the expected returns of forest investments represent the main drivers. Consequently, an inventory-based discrete-time Markov chain model of the forest resources is coupled with a partial equilibrium model of the market of forest products and with a microeconomic model of allocation of the harvested area to form a national-level forest sector model for France (FFSM++).

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecomod:v:309-310:y:2015:i::p:82-92
    DOI: 10.1016/j.ecolmodel.2015.04.012
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    References listed on IDEAS

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    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. Antonello Lobianco & Philippe Delacote & Sylvain Caurla & Ahmed Barkaoui, 2014. "Introducing forest management in forest sector models: impact of active management and risk attitude on forest resources in the long term," Working Papers hal-01627578, HAL.
    3. 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.
    4. Sylvain Caurla & Franck Lecocq & Philippe Delacote & Ahmed Barkaoui, 2010. "The French Forest Sector Model: version 1.0. Presentation and theorical foundations," Working Papers - Cahiers du LEF 2010-04, Laboratoire d'Economie Forestiere, AgroParisTech-INRA.
    5. 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.
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    Cited by:

    1. Lungarska, Anna & Chakir, Raja, 2018. "Climate-induced Land Use Change in France: Impacts of Agricultural Adaptation and Climate Change Mitigation," Ecological Economics, Elsevier, vol. 147(C), pages 134-154.
    2. Lobianco, Antonello & Caurla, Sylvain & Delacote, Philippe & Barkaoui, Ahmed, 2016. "Carbon mitigation potential of the French forest sector under threat of combined physical and market impacts due to climate change," Journal of Forest Economics, Elsevier, vol. 23(C), pages 4-26.
    3. Huang, Wei, 2019. "Forest condition change, tenure reform, and government-funded eco-environmental programs in Northeast China," Forest Policy and Economics, Elsevier, vol. 98(C), pages 67-74.

    More about this item

    Keywords

    Forest sector modelling; Spatial model; Bio-economic model; Forest mortality;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • 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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