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Introducing spatial heterogeneity in forest sector modelling: insights from the French forest Sector Model

Author

Listed:
  • Antonello Lobianco

    (UNIVPM - Polytechnic University of Marche [Ancona, Italy] / Università Politecnica delle Marche [Ancona, Italia])

  • Philippe Delacote

    (LEF - Laboratoire d'Economie Forestière - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

  • Sylvain Caurla

    (LEF - Laboratoire d'Economie Forestière - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

  • Ahmed Barkaoui

    (LEF - Laboratoire d'Economie Forestière - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

Abstract

Given the importance of anthropogenic determinants in forest ecosystems within Europe, the objective of FFSM++ is to link the evidence arising from biological models with socioeconomic determinants, where the expected returns of forest investments represent the main drivers. An inventory-based forest dynamic model is hence coupled with a market module and a management one in a national level forest sector model for France (FFSM++). In this paper we show that only considering the environment heterogeneity, and hence considering the local characteristics of the forest under management, we can realistically model the micro-based management module. In particular, an application is proposed that spatialises the forest growth rate and long-term scenarios (until 2100) are run to examine the effects on the forest dynamic, and notably the interaction with forest management strategies, of a potential increase of coniferous mortality in certain areas due to climate change.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Antonello Lobianco & Philippe Delacote & Sylvain Caurla & Ahmed Barkaoui, 2014. "Introducing spatial heterogeneity in forest sector modelling: insights from the French forest Sector Model," Working Papers hal-01627580, HAL.
    • Handle: RePEc:hal:wpaper:hal-01627580
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    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning 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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