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Efficiency in forest management: A multiobjective harvest scheduling model

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  • Hernandez, M.
  • Gómez, T.
  • Molina, J.
  • León, M.A.
  • Caballero, R.
Abstract
This paper presents a new forest harvest scheduling model taking into account four conflicting objectives. The economic factor of timber production is considered and also aspects related to environmental protection. We also incorporate adjacency constraints to limit the maximum contiguous area where clear-cutting can be applied. The model proposed is applied to a timber production plantation in Cuba located in the region of Pinar del Río. One factor to be taken into account in Cuban plantations is that the forest has a highly unbalanced age distribution. Therefore, in addition to the classical objectives of forest planning, we have the objective of rebalancing age distribution by the end of the planning horizon. Explicitly, the four objectives considered in the model are: (a) obtaining a balance-aged forest; (b) minimizing the area with trees older than the rotation age; (c) maximizing the NPV of the forest over the planning horizon; and (d) maximizing total carbon sequestration over the whole planning horizon. The solution to the proposed model provides a set of efficient management plans that are of assistance in analysing the tradeoffs between the economic and ecological objectives. The model is also applied to randomly generated simulated forests to compare its performance in other contexts. As the problem is a multiobjective binary nonlinear model, a metaheuristic procedure is used in order to solve it.

Suggested Citation

  • Hernandez, M. & Gómez, T. & Molina, J. & León, M.A. & Caballero, R., 2014. "Efficiency in forest management: A multiobjective harvest scheduling model," Journal of Forest Economics, Elsevier, vol. 20(3), pages 236-251.
    • Handle: RePEc:eee:foreco:v:20:y:2014:i:3:p:236-251
    DOI: 10.1016/j.jfe.2014.06.002
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    References listed on IDEAS

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    1. Couture, Stéphane & Reynaud, Arnaud, 2011. "Forest management under fire risk when forest carbon sequestration has value," Ecological Economics, Elsevier, vol. 70(11), pages 2002-2011, September.
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    5. 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.
    6. 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.
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    Cited by:

    1. Xie, Hualin & He, Yafen & Zhang, Ning & Lu, Hua, 2017. "Spatiotemporal changes and fragmentation of forest land in Jiangxi Province, China," Journal of Forest Economics, Elsevier, vol. 29(PA), pages 4-13.
    2. Oğuzhan Ahmet Arık, 2021. "Long-term Plantation and Harvesting Planning for Industrial Plantation Forest Areas," SN Operations Research Forum, Springer, vol. 2(2), pages 1-23, June.
    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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    More about this item

    Keywords

    Forest planning; Multiobjective programming; Adjacency constraints; CO2 captured; Nonlinear binary models; Metaheuristic;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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