IDEAS home Printed from https://ideas.repec.org/a/eee/forpol/v73y2016icp120-129.html
   My bibliography  Save this article

Promoting harvesting stands connectivity and its economic implications in Brazilian forest plantations applying integer linear programming and simulated annealing

Author

Listed:
  • Augustynczik, Andrey Lessa Derci
  • Arce, Julio Eduardo
  • Yousefpour, Rasoul
  • da Silva, Arinei Carlos Lindbeck

Abstract

The spatial allocation of harvesting activities is a challenging task for forest managers, given the complexity of coordinating operations and the great contribution of harvesting to the total cost of wood production. Traditionally, forest harvesting policies have intended to limit maximum clear-cut areas, leading to harvesting fragmentation, and have thus reduced interior forest habitat and negatively affected operational efficiency. Aiming to address this issue, the main goals of this study were i) to propose approaches to include harvesting connectivity into a forest planning model, and ii) to evaluate the impacts of enforcing connectivity on the economic outcomes of the forest. We applied two approaches for clustering forest harvesting: (i) a model based on the Minimum Spanning Tree problem for enforcing harvesting connectivity and (ii) a Simulated Annealing approach for simultaneous consideration of harvesting stands connectivity and wood flow. The optimization process could reduce the average harvesting radius from 4575.8 up to 2300.5m and increase the average area of harvesting blocks from 22.4 up to 157.4ha. However, this solution would marginally reduce the net present values (from 3.9% to 15.4%) compared to the base scenario, without the inclusion of connectivity requirements and depending on the level of enforced connectivity.

Suggested Citation

  • Augustynczik, Andrey Lessa Derci & Arce, Julio Eduardo & Yousefpour, Rasoul & da Silva, Arinei Carlos Lindbeck, 2016. "Promoting harvesting stands connectivity and its economic implications in Brazilian forest plantations applying integer linear programming and simulated annealing," Forest Policy and Economics, Elsevier, vol. 73(C), pages 120-129.
    • Handle: RePEc:eee:forpol:v:73:y:2016:i:c:p:120-129
    DOI: 10.1016/j.forpol.2016.09.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S138993411630288X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.forpol.2016.09.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Andersson, Daniel & Eriksson, Ljusk Ola, 2007. "Effects of temporal aggregation in integrated strategic/tactical and strategic forest planning," Forest Policy and Economics, Elsevier, vol. 9(8), pages 965-981, May.
    3. Marc Robini & Pierre-Jean Reissman, 2013. "From simulated annealing to stochastic continuation: a new trend in combinatorial optimization," Journal of Global Optimization, Springer, vol. 56(1), pages 185-215, May.
    4. Demirci, Mehmet & Bettinger, Pete, 2015. "Using mixed integer multi-objective goal programming for stand tending block designation: A case study from Turkey," Forest Policy and Economics, Elsevier, vol. 55(C), pages 28-36.
    5. Margaret Insley & Kimberly Rollins, 2005. "On Solving the Multirotational Timber Harvesting Problem with Stochastic Prices: A Linear Complementarity Formulation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 735-755.
    6. Borges, Paulo & Eid, Tron & Bergseng, Even, 2014. "Applying simulated annealing using different methods for the neighborhood search in forest planning problems," European Journal of Operational Research, Elsevier, vol. 233(3), pages 700-710.
    7. Jaafari, Abolfazl & Najafi, Akbar & Melón, Mónica García, 2015. "Decision-making for the selection of a best wood extraction method: An analytic network process approach," Forest Policy and Economics, Elsevier, vol. 50(C), pages 200-209.
    8. Yousefpour, Rasoul & Didion, Markus & Jacobsen, Jette B. & Meilby, Henrik & Hengeveld, Geerten M. & Schelhaas, Mart-Jan & Thorsen, Bo J., 2015. "Modelling of adaptation to climate change and decision-makers behaviours for the Veluwe forest area in the Netherlands," Forest Policy and Economics, Elsevier, vol. 54(C), pages 1-10.
    9. Fotakis, Dimitris G. & Sidiropoulos, Epameinondas & Myronidis, Dimitriοs & Ioannou, Kostas, 2012. "Spatial genetic algorithm for multi-objective forest planning," Forest Policy and Economics, Elsevier, vol. 21(C), pages 12-19.
    10. 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.
    11. Mathey, Anne-Hélène & Krcmar, Emina & Dragicevic, Suzana & Vertinsky, Ilan, 2008. "An object-oriented cellular automata model for forest planning problems," Ecological Modelling, Elsevier, vol. 212(3), pages 359-371.
    12. Bauch, Simone C. & Amacher, Gregory S. & Merry, Frank D., 2007. "Costs of harvesting, transportation and milling in the Brazilian Amazon: Estimation and policy implications," Forest Policy and Economics, Elsevier, vol. 9(8), pages 903-915, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pascual, Adrián, 2021. "Building Pareto Frontiers under tree-level forest planning using airborne laser scanning, growth models and spatial optimization," Forest Policy and Economics, Elsevier, vol. 128(C).
    2. Luo, Li & O'Hehir, Jim & Regan, Courtney M. & Meng, Li & Connor, Jeffery D. & Chow, Christopher W.K., 2021. "An integrated strategic and tactical optimization model for forest supply chain planning," Forest Policy and Economics, Elsevier, vol. 131(C).
    3. Mengistie Kindu & Logan Robert Bingham & José G. Borges & Susete Marques & Olha Nahorna & Jeannette Eggers & Thomas Knoke, 2022. "Opportunity Costs of In Situ Carbon Storage Derived by Multiple-Objective Stand-Level Optimization—Results from Case Studies in Portugal and Germany," Land, MDPI, vol. 11(11), pages 1-12, November.
    4. Gomes, Vanessa de Souza & Monti, Cássio Augusto Ussi & Silva, Carolina Souza Jarochinski e & Gomide, Lucas Rezende, 2021. "Operational harvest planning under forest road maintenance uncertainty," Forest Policy and Economics, Elsevier, vol. 131(C).
    5. Pascual, Adrián & Guerra-Hernández, Juan, 2022. "Spatial connectivity in tree-level decision-support models using mathematical optimization and individual tree mapping," Forest Policy and Economics, Elsevier, vol. 139(C).
    6. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. 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.
    3. Belavenutti, Pedro & Ager, Alan A. & Day, Michelle A. & Chung, Woodam, 2022. "Designing forest restoration projects to optimize the application of broadcast burning," Ecological Economics, Elsevier, vol. 201(C).
    4. 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.
    5. Liu, Wan-Yu & Lin, Chun-Cheng & Su, Ke-Hong, 2017. "Modelling the spatial forest-thinning planning problem considering carbon sequestration and emissions," Forest Policy and Economics, Elsevier, vol. 78(C), pages 51-66.
    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. 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.
    8. Chen, Shan & Insley, Margaret, 2012. "Regime switching in stochastic models of commodity prices: An application to an optimal tree harvesting problem," Journal of Economic Dynamics and Control, Elsevier, vol. 36(2), pages 201-219.
    9. Thang, Tran Cong & Burton, Michael P. & Brennan, Donna C., 2009. "Optimal replanting and cutting rule for coffee farmers in Vietnam," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 47638, Australian Agricultural and Resource Economics Society.
    10. Ran Wei & Alan Murray, 2015. "Spatial uncertainty in harvest scheduling," Annals of Operations Research, Springer, vol. 232(1), pages 275-289, September.
    11. Insley, Margaret, 2017. "Resource extraction with a carbon tax and regime switching prices: Exercising your options," Energy Economics, Elsevier, vol. 67(C), pages 1-16.
    12. Gong, Jian-zhou & Liu, Yan-sui & Xia, Bei-cheng & Zhao, Guan-wei, 2009. "Urban ecological security assessment and forecasting, based on a cellular automata model: A case study of Guangzhou, China," Ecological Modelling, Elsevier, vol. 220(24), pages 3612-3620.
    13. Insley, M.C. & Wirjanto, T.S., 2010. "Contrasting two approaches in real options valuation: Contingent claims versus dynamic programming," Journal of Forest Economics, Elsevier, vol. 16(2), pages 157-176, April.
    14. Rakotoarison, Hanitra & Loisel, Patrice, 2016. "The Faustmann model under storm risk and price uncertainty: A case study of European beech in Northwestern France," MPRA Paper 85114, University Library of Munich, Germany.
    15. Augustynczik, A.L.D. & Arce, J.E. & Silva, A.C.L., 2016. "Aggregating forest harvesting activities in forest plantations through Integer Linear Programming and Goal Programming," Journal of Forest Economics, Elsevier, vol. 24(C), pages 72-81.
    16. Nicklas Forsell & Ljusk Eriksson, 2014. "Influence of temporal aggregation on strategic forest management under risk of wind damage," Annals of Operations Research, Springer, vol. 219(1), pages 397-414, August.
    17. Isabel Martins & Mujing Ye & Miguel Constantino & Maria Conceição Fonseca & Jorge Cadima, 2014. "Modeling target volume flows in forest harvest scheduling subject to maximum area restrictions," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(1), pages 343-362, April.
    18. Chang, Sun Joseph & Zhang, Fan, 2023. "Active timber management by outsourcing stumpage price uncertainty with the American put option," Forest Policy and Economics, Elsevier, vol. 154(C).
    19. Hengeveld, Geerten M. & Schüll, Elmar & Trubins, Renats & Sallnäs, Ola, 2017. "Forest Landscape Development Scenarios (FoLDS)–A framework for integrating forest models, owners' behaviour and socio-economic developments," Forest Policy and Economics, Elsevier, vol. 85(P2), pages 245-255.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:forpol:v:73:y:2016:i:c:p:120-129. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/forpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.