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Management of Mediterranean forests — A compromise programming approach considering different stakeholders and different objectives

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  • de Sousa Xavier, António Manuel
  • Costa Freitas, Maria de Belém
  • de Sousa Fragoso, Rui Manuel

Abstract

Forest management is a complex issue due to the different type of activities considered in the forest territory and to the criteria involved in the manager's decision: in the last centuries, Mediterranean forests have come under human influence and recently, probably as a consequence of rural depopulation in many of these areas, a decline in the potential of these forests to produce economic and environmental services has been observed. Risk of fire and the resulting economic loss is a common problem in Mediterranean areas, mainly in years when climatic conditions are more unfavorable. Specific strategies for dealing with that risk imply costs, have an impact on biodiversity, and are always implemented following different stakeholders' (landowners/farmers and managers) preferences. Furthermore, this kind of decision always implies a conflict of objectives. Compromise programming represents a very satisfactory way to combine different stakeholders' preferences regarding the criteria considered. The objective of this work is to present a methodology based on the MCDM approach that facilitates the collaborative planning process in the scope of Mediterranean forests, dealing with multiple criteria and multiple stakeholders in a risky situation. This approach was implemented in a Forest Intervention Zone (FIZ) in the Algarve, Southern Portugal.

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  • 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.
  • Handle: RePEc:eee:forpol:v:57:y:2015:i:c:p:38-46
    DOI: 10.1016/j.forpol.2015.03.012
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    1. Mendoza, Guillermo A. & Campbell, Gene E. & Rolfe, Gary L., 1986. "Multiple objective programming: An approach to planning and evaluation of agroforestry systems-- Part 1: Model description and development," Agricultural Systems, Elsevier, vol. 22(3), pages 243-253.
    2. Nordström, Eva-Maria & Eriksson, Ljusk Ola & Öhman, Karin, 2010. "Integrating multiple criteria decision analysis in participatory forest planning: Experience from a case study in northern Sweden," Forest Policy and Economics, Elsevier, vol. 12(8), pages 562-574, October.
    3. 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.
    4. P. B. R. Hazell, 1971. "A Linear Alternative to Quadratic and Semivariance Programming for Farm Planning under Uncertainty: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(4), pages 664-665.
    5. Ananda, Jayanath & Herath, Gamini, 2003. "Incorporating stakeholder values into regional forest planning: a value function approach," Ecological Economics, Elsevier, vol. 45(1), pages 75-90, April.
    6. Martins, M. Belem & Marques, Carlos, 2007. "Methodological aspects of a mathematical programming model to evaluate soil tillage technologies in a risky environment," European Journal of Operational Research, Elsevier, vol. 177(1), pages 556-571, February.
    7. P. L. Yu, 1973. "A Class of Solutions for Group Decision Problems," Management Science, INFORMS, vol. 19(8), pages 936-946, April.
    8. M. Freimer & P. L. Yu, 1976. "Some New Results on Compromise Solutions for Group Decision Problems," Management Science, INFORMS, vol. 22(6), pages 688-693, February.
    9. Kazana, Vassiliki & Fawcett, Roy H. & Mutch, William E. S., 2003. "A decision support modelling framework for multiple use forest management: The Queen Elizabeth Forest case study in Scotland," European Journal of Operational Research, Elsevier, vol. 148(1), pages 102-115, July.
    10. P. B. R. Hazell, 1971. "A Linear Alternative to Quadratic and Semivariance Programming for Farm Planning under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(1), pages 53-62.
    11. Jacinto González-Pachón & Carlos Romero, 2007. "Inferring consensus weights from pairwise comparison matrices without suitable properties," Annals of Operations Research, Springer, vol. 154(1), pages 123-132, October.
    12. Luis Diaz-Balteiro & David Martell & Carlos Romero & Andrés Weintraub, 2014. "The optimal rotation of a flammable forest stand when both carbon sequestration and timber are valued: a multi-criteria approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(2), pages 375-387, June.
    13. M Bertomeu & C Romero, 2002. "Forest management optimisation models and habitat diversity: a goal programming approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(11), pages 1175-1184, November.
    14. K. D. Cocks, 1968. "Discrete Stochastic Programming," Management Science, INFORMS, vol. 15(1), pages 72-79, September.
    15. Aregai Tecle & Bijaya P. Shrestha & Lucien Duckstein, 1998. "A multiobjective decision support system for multiresource forest management," Group Decision and Negotiation, Springer, vol. 7(1), pages 23-40, January.
    16. David L. Martell, 2007. "Forest Fire Management," 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 489-509, Springer.
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    3. Marta Ezquerro & Marta Pardos & Luis Diaz-Balteiro, 2019. "Sustainability in Forest Management Revisited Using Multi-Criteria Decision-Making Techniques," Sustainability, MDPI, vol. 11(13), pages 1-24, July.

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