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Multiple Criteria Decision-Making in Forest Planning: Recent Results and Current Challenges

In: Handbook Of Operations Research In Natural Resources

Author

Listed:
  • Luis Diaz-Balteiro

    (Technical University of Madrid)

  • Carlos Romero

    (Technical University of Madrid)

Abstract

Forest management is becoming a complex process that requires decision making involving economic, environmental and social criteria. This means that multiple criteria decision-making (MCDM) approaches need to be used in many forestry contexts. This chapter aims at assessing the efforts undertaken over the last 30 years towards formulating and solving forest management problems from an MCDM perspective. The goal of the chapter is not to compile an exhaustive list of MCDM applications in forestry but to detect the areas within forest management in which MCDM approaches have proven to be more productive or have significant future potential.

Suggested Citation

  • Luis Diaz-Balteiro & Carlos Romero, 2007. "Multiple Criteria Decision-Making in Forest Planning: Recent Results and Current Challenges," International Series in Operations Research & Management Science, in: Andres Weintraub & Carlos Romero & Trond Bjørndal & Rafael Epstein & Jaime Miranda (ed.), Handbook Of Operations Research In Natural Resources, chapter 0, pages 473-488, Springer.
    • Handle: RePEc:spr:isochp:978-0-387-71815-6_25
    DOI: 10.1007/978-0-387-71815-6_25
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    Citations

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    Cited by:

    1. Rui Manuel de Sousa Fragoso & Maria de Belém Ferreira da Silva Costa Freitas & António Manuel de Sousa Xavier, 2012. "An eco-sustainable forest management model for the Mediterranean forests - a multiple criteria approach," CEFAGE-UE Working Papers 2012_22, University of Evora, CEFAGE-UE (Portugal).
    2. de Sousa Xavier, António Manuel & Costa Freitas, Maria de Belém & de Sousa Fragoso, Rui Manuel, 2015. "Management of Mediterranean forests — A compromise programming approach considering different stakeholders and different objectives," Forest Policy and Economics, Elsevier, vol. 57(C), pages 38-46.
    3. Shirzadi, Somayeh & Sabouhi, Mahmood & Kenari, Reza Esfanjari, 2015. "Sustainable Management of Saravan Sylvan Park Using Stochastic Dynamic Programming," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 5(3), September.
    4. Eyvindson, Kyle & Hujala, Teppo & Kangas, Annika & Kurttila, Mikko, 2012. "Selecting a forest plan among alternatives: Consistency of preferences within decision support frameworks," Forest Policy and Economics, Elsevier, vol. 15(C), pages 114-122.
    5. Jiménez, Mariano & Bilbao-Terol, Amelia & Arenas-Parra, Mar, 2021. "Incorporating preferential weights as a benchmark into a Sequential Reference Point Method," European Journal of Operational Research, Elsevier, vol. 291(2), pages 575-585.
    6. T. Gómez & M. Hernández & J. Molina & M. León & E. Aldana & R. Caballero, 2011. "A multiobjective model for forest planning with adjacency constraints," Annals of Operations Research, Springer, vol. 190(1), pages 75-92, October.

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