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Methodology to translate policy assessment problems into scenarios: the example of the SEAMLESS integrated framework

  • Olivier Therond
  • Hatem Belhouchette
  • Sander Janssen
  • Kamel Louhichi
  • Frank Ewert
  • Jacques-Eric Bergez
  • Jacques Wery
  • Thomas Heckelei
  • Johanna Alkan Olsson
  • Delphine Leenhardt
  • Martin Van Ittersum
Publiceringsår: 2009
Språk: Engelska
Sidor: 619-630
Publikation/Tidskrift/Serie: Environmental Science and Policy
Volym: 12
Nummer: 5
Dokumenttyp: Artikel i tidskrift
Förlag: Elsevier


Scenario-based approaches in environmental and policy assessment studies are increasingly applied within integrated assessment and modelling frameworks. The SEAMLESS project develops such an integrated framework (SEAMLESS-IF) aiming to assess, ex-ante, impacts of alternative agro-environmental policies on the sustainability of agricultural systems. A particular challenge in this context is the consistent translation of a wide range of policy questions into scenarios that a modelling framework can assess. The present work defines a methodology for scenario-development in integrated policy assessment with specific emphasis on SEAMLESS-IF. After a general overview on scenario concepts for integrated policy assessment the adopted scenario concept and its development procedure is presented. They allow building integrated scenarios capturing the range of drivers of the assessed agricultural system in a consistent way across temporal and spatial scales. Then focus is on the particular procedures to translate the policy assessment questions into scenario parameters and to implement these parameters into SEAMLESS-IF. Two examples targeted at European and regional level combining integrated assessments of policy changes and technological innovations are considered to illustrate the SEAMLESS scenario concept. We conclude that the proposed methodology to translate policy assessment problems into scenarios effectively supports integrated assessment in SEAMLESS-IF or even in other modelling frameworks. (C) 2009 Elsevier Ltd. All rights reserved.


  • Social Sciences Interdisciplinary
  • Agricultural systems
  • Integrated assessment and modelling
  • Scenario
  • Scales


  • ISSN: 1462-9011

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