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A multicriteria optimization model for sustainable forest management under climate change uncertainty: An application in Portugal

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  • Álvarez-Miranda, Eduardo
  • Garcia-Gonzalo, Jordi
  • Ulloa-Fierro, Felipe
  • Weintraub, Andrés
  • Barreiro, Susana

Abstract

We propose a multicriteria decision-making framework to support strategic decisions in forest management, taking into account uncertainty due to climate change and sustainability goals. In our setting, uncertainty is modeled by means of climate change scenarios. The decision task is to define a harvest scheduling that addresses, simultaneously, conflicting objectives: the economic value of the strategy, the carbon sequestration, the water use efficiency for biomass production and the runoff water, during the whole planning horizon. While the first objective is a classical managerial one, the later tree objectives aim at ensuring the environmental sustainability of the forest management plan.

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  • Álvarez-Miranda, Eduardo & Garcia-Gonzalo, Jordi & Ulloa-Fierro, Felipe & Weintraub, Andrés & Barreiro, Susana, 2018. "A multicriteria optimization model for sustainable forest management under climate change uncertainty: An application in Portugal," European Journal of Operational Research, Elsevier, vol. 269(1), pages 79-98.
    • Handle: RePEc:eee:ejores:v:269:y:2018:i:1:p:79-98
    DOI: 10.1016/j.ejor.2017.04.052
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    2. Sushil Gupta & Hossein Rikhtehgar Berenji & Manish Shukla & Nagesh N. Murthy, 2023. "Opportunities in farming research from an operations management perspective," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1577-1596, June.
    3. González-González, José M. & Vázquez-Méndez, Miguel E. & Diéguez-Aranda, Ulises, 2020. "A note on the regularity of a new metric for measuring even-flow in forest planning," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1101-1106.

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