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Imposing Connectivity Constraints in Forest Planning Models

Author

Listed:
  • Rodolfo Carvajal

    (H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332; and Escuela de Negocios, Universidad Adolfo Ibáñez, Santiago, Chile)

  • Miguel Constantino

    (Centro de Investigação Operacional, Faculdade de Ciências da Universidade de Lisboa, 1749-016 Lisboa, Portugal)

  • Marcos Goycoolea

    (Escuela de Negocios, Universidad Adolfo Ibáñez, Santiago, Chile)

  • Juan Pablo Vielma

    (Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139; and Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15260)

  • Andrés Weintraub

    (Departamento de Ingeniería Industrial, Universidad de Chile, Santiago, Chile; and Instituto Milenio Sistemas Complejos de Ingeniería, Santiago, Chile)

Abstract

Connectivity requirements are a common component of forest planning models, with important examples arising in wildlife habitat protection. In harvest scheduling models, one way of addressing preservation concerns consists of requiring that large contiguous patches of mature forest are maintained. In the context of nature reserve design, it is common practice to select a connected region of forest, as a reserve, in such a way as to maximize the number of species and habitats protected. Although a number of integer programming formulations have been proposed for these forest planning problems, most are impractical in that they fail to solve reasonably sized scheduling instances. We present a new integer programming methodology and test an implementation of it on five medium-sized forest instances publicly available in the Forest Management Optimization Site repository. Our approach allows us to obtain near-optimal solutions for multiple time-period instances in fewer than four hours.

Suggested Citation

  • Rodolfo Carvajal & Miguel Constantino & Marcos Goycoolea & Juan Pablo Vielma & Andrés Weintraub, 2013. "Imposing Connectivity Constraints in Forest Planning Models," Operations Research, INFORMS, vol. 61(4), pages 824-836, August.
  • Handle: RePEc:inm:oropre:v:61:y:2013:i:4:p:824-836
    DOI: 10.1287/opre.2013.1183
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    References listed on IDEAS

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    1. R. S. Garfinkel & G. L. Nemhauser, 1970. "Optimal Political Districting by Implicit Enumeration Techniques," Management Science, INFORMS, vol. 16(8), pages 495-508, April.
    2. 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.
    3. Marcos Goycoolea & Alan T. Murray & Francisco Barahona & Rafael Epstein & Andrés Weintraub, 2005. "Harvest Scheduling Subject to Maximum Area Restrictions: Exploring Exact Approaches," Operations Research, INFORMS, vol. 53(3), pages 490-500, June.
    4. Vielma, Juan Pablo & Murray, Alan T. & Ryan, David M. & Weintraub, Andres, 2007. "Improving computational capabilities for addressing volume constraints in forest harvest scheduling problems," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1246-1264, January.
    5. Williams, Justin C. & ReVelle, Charles S., 1998. "Reserve assemblage of critical areas: A zero-one programming approach," European Journal of Operational Research, Elsevier, vol. 104(3), pages 497-509, February.
    6. Martins, Isabel & Constantino, Miguel & Borges, Jose G., 2005. "A column generation approach for solving a non-temporal forest harvest model with spatial structure constraints," European Journal of Operational Research, Elsevier, vol. 161(2), pages 478-498, March.
    7. Hayri Önal & Robert A. Briers, 2006. "Optimal Selection of a Connected Reserve Network," Operations Research, INFORMS, vol. 54(2), pages 379-388, April.
    8. GARFINKEL, Robert S. & NEMHAUSER, Geroge L., 1970. "Optimal political districting by implicit enumeration techniques," LIDAM Reprints CORE 54, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    Cited by:

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    5. Önal, Hayri & Wang, Yicheng & Dissanayake, Sahan T.M. & Westervelt, James D., 2016. "Optimal design of compact and functionally contiguous conservation management areas," European Journal of Operational Research, Elsevier, vol. 251(3), pages 957-968.
    6. 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.
    7. 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.
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    9. Sierra-Altamiranda, Alvaro & Charkhgard, Hadi & Eaton, Mitchell & Martin, Julien & Yurek, Simeon & Udell, Bradley J., 2020. "Spatial conservation planning under uncertainty using modern portfolio theory and Nash bargaining solution," Ecological Modelling, Elsevier, vol. 423(C).
    10. Sinha, Ankur & Rämö, Janne & Malo, Pekka & Kallio, Markku & Tahvonen, Olli, 2017. "Optimal management of naturally regenerating uneven-aged forests," European Journal of Operational Research, Elsevier, vol. 256(3), pages 886-900.
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    12. Maher, Stephen J. & Murray, John M., 2016. "The unrooted set covering connected subgraph problem differentiating between HIV envelope sequences," European Journal of Operational Research, Elsevier, vol. 248(2), pages 668-680.
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    14. Baghersad, Milad & Emadikhiav, Mohsen & Huang, C. Derrick & Behara, Ravi S., 2023. "Modularity maximization to design contiguous policy zones for pandemic response," European Journal of Operational Research, Elsevier, vol. 304(1), pages 99-112.
    15. Álvarez-Miranda, Eduardo & Goycoolea, Marcos & Ljubić, Ivana & Sinnl, Markus, 2021. "The Generalized Reserve Set Covering Problem with Connectivity and Buffer Requirements," European Journal of Operational Research, Elsevier, vol. 289(3), pages 1013-1029.
    16. 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.
    17. Brimkov, Boris & Fast, Caleb C. & Hicks, Illya V., 2019. "Computational approaches for zero forcing and related problems," European Journal of Operational Research, Elsevier, vol. 273(3), pages 889-903.
    18. Correa, Renata Naoko & Scarpin, Cassius Tadeu & Ferrari, Linamara Smaniotto & Arce, Julio Eduardo, 2020. "Application of relax-and-fix heuristic in the aggregation of stands for tactical forest scheduling," Forest Policy and Economics, Elsevier, vol. 119(C).
    19. Han, Jialin & Hu, Yaoguang & Mao, Mingsong & Wan, Shuping, 2020. "A multi-objective districting problem applied to agricultural machinery maintenance service network," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1120-1130.
    20. Álvarez-Miranda, Eduardo & Garcia-Gonzalo, Jordi & Pais, Cristobal & Weintraub, Andrés, 2019. "A multicriteria stochastic optimization framework for sustainable forest decision making under uncertainty," Forest Policy and Economics, Elsevier, vol. 103(C), pages 112-122.

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