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Modeling forest core area with integer programming

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  • Huizhen Zhang
  • Miguel Constantino
  • André Falcão

Abstract

Abundant and continuous old forest tend to be fragmented into isolated and small patches because of human harvest activities. Dispersive and isolated old forest patches cannot provide abundant interior habitat to wildlife, which is a fatal threat for specific plant communities and wildlife species. In this paper, an Integer Programming model for forest planning is designed to maximize the economical benefit of the forest and to guarantee a minimum area of interior old forest for wildlife habitat, the so-called core area satisfying minimum mature age requirements. The minimum core area constraints, to some degree, can help mitigate the negative impact of harvest activities to divide forest habitat into many small patches. The model is implemented in a commercial Integer Programming solver and it is applied to several hypothetical landscapes. The results show the possibility of incorporating a core area requirement into a forest planning model, and the possibility to obtain solutions within a reasonable computational time. Instances with up to 1600 management units have been solved in seconds to an optimality gap of 1% (0.1% in some cases). Copyright Springer Science+Business Media, LLC 2011

Suggested Citation

  • Huizhen Zhang & Miguel Constantino & André Falcão, 2011. "Modeling forest core area with integer programming," Annals of Operations Research, Springer, vol. 190(1), pages 41-55, October.
    • Handle: RePEc:spr:annopr:v:190:y:2011:i:1:p:41-55:10.1007/s10479-009-0517-4
    DOI: 10.1007/s10479-009-0517-4
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    References listed on IDEAS

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    1. Miguel Constantino & Isabel Martins & José G. Borges, 2008. "A New Mixed-Integer Programming Model for Harvest Scheduling Subject to Maximum Area Restrictions," Operations Research, INFORMS, vol. 56(3), pages 542-551, June.
    2. Brumelle, Shelby & Granot, Daniel & Halme, Merja & Vertinsky, Ilan, 1998. "A tabu search algorithm for finding good forest harvest schedules satisfying green-up constraints," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 408-424, April.
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    Citations

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    Cited by:

    1. Neto, Teresa & Constantino, Miguel & Martins, Isabel & Pedroso, João Pedro, 2020. "A multi-objective Monte Carlo tree search for forest harvest scheduling," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1115-1126.
    2. Augustynczik, Andrey Lessa Derci & Yousefpour, Rasoul & Rodriguez, Luiz Carlos Estraviz & Hanewinkel, Marc, 2018. "Conservation Costs of Retention Forestry and Optimal Habitat Network Selection in Southwestern Germany," Ecological Economics, Elsevier, vol. 148(C), pages 92-102.
    3. Teresa Neto & Miguel Constantino & Isabel Martins & João Pedro Pedroso, 2017. "Forest harvest scheduling with clearcut and core area constraints," Annals of Operations Research, Springer, vol. 258(2), pages 453-478, November.
    4. 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.
    5. Constantino, Miguel & Martins, Isabel, 2018. "Branch-and-cut for the forest harvest scheduling subject to clearcut and core area constraints," European Journal of Operational Research, Elsevier, vol. 265(2), pages 723-734.
    6. Vassiliki Kazana & Angelos Kazaklis & Dimitrios Raptis & Christos Stamatiou, 2020. "A combined multi-criteria approach to assess forest management sustainability: an application to the forests of Eastern Macedonia & Thrace Region in Greece," Annals of Operations Research, Springer, vol. 294(1), pages 321-343, November.

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