IDEAS home Printed from https://ideas.repec.org/p/lef/wpaper/2014-04.html
   My bibliography  Save this paper

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

Author

Listed:
  • Antonello Lobianco

    (Laboratoire d'Economie Forestière, INRA - AgroParisTech)

  • Philippe Delacote

    (Laboratoire d'Economie Forestière, INRA - AgroParisTech
    Climate Economic Chair)

  • Sylvain Caurla

    (Laboratoire d'Economie Forestière, INRA - AgroParisTech)

  • Ahmed Barkaoui

    (Laboratoire d'Economie Forestière, INRA - 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.

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 - Cahiers du LEF 2014-04, Laboratoire d'Economie Forestiere, AgroParisTech-INRA, revised Apr 2014.
    • Handle: RePEc:lef:wpaper:2014-04
    as

    Download full text from publisher

    File URL: http://www6.nancy.inra.fr/lef/Cahiers-du-LEF/2014/2014-04
    File Function: First version, 2010
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    Forest sector modelling; Spatial model; Bio-economic model; Forest mortality.;
    All these keywords.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:lef:wpaper:2014-04. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sylvain CAURLa (email available below). General contact details of provider: https://edirc.repec.org/data/lefinfr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.