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

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  • 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.

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  • 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
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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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    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.
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    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).

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