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Forest Management Zone Design with a Tabu Search Algorithm


  • Emina Krcmar
  • Snezana Mitrovic-Minic
  • G. Cornelis van Kooten
  • Ilan Vertinsky


Increased conflicts between timber production and environmental protection led some analysts to advocate land-use segregation, often referred to as forest management zoning. The objective of zoning is to create ecologically desirable non-fragmented forest reserves and group timber production areas. We formulate an integer programming model of forest zoning that explicitly addresses clustering of spatial units allocated to timber production and reserve zones while also promoting separation of these zones. A tabu search algorithm is developed, implemented and tested using a case study. The case study results indicate that up to 5% of the net financial return is sacrificed with a 'satisfactory' grouping of units within each zone. A 'good' separation between the reserves and timber production zone is achieved at the cost of further decline of the net financial return up to 11% relative to the unconstrained case.

Suggested Citation

  • Emina Krcmar & Snezana Mitrovic-Minic & G. Cornelis van Kooten & Ilan Vertinsky, 2005. "Forest Management Zone Design with a Tabu Search Algorithm," Working Papers 2005-12, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
  • Handle: RePEc:rep:wpaper:2005-12

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    References listed on IDEAS

    1. James Vercammen, 2013. "A Partial Adjustment Model of Federal Direct Payments in Canadian Agriculture," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 61(3), pages 465-485, September.
    2. Athanasios Petsakos & Stelios Rozakis, 2015. "Calibration of agricultural risk programming models," Post-Print hal-01173062, HAL.
    3. Calum G. Turvey, 2012. "Whole Farm Income Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(2), pages 515-540, June.
    4. Paolo Sckokai & Daniele Moro, 2009. "Modelling the impact of the CAP Single Farm Payment on farm investment and output," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 36(3), pages 395-423, September.
    5. Paolo Sckokai & Daniele Moro, 2006. "Modeling the Reforms of the Common Agricultural Policy for Arable Crops under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 43-56.
    6. David A. Hennessy, 1998. "The Production Effects of Agricultural Income Support Policies under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 46-57.
    7. Joseph C. Cooper, 2010. "Average Crop Revenue Election: A Revenue-Based Alternative to Price-Based Commodity Payment Programs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 1214-1228.
    8. Petsakos, Athanasios & Rozakis, Stelios, 2015. "Calibration of agricultural risk programming models," European Journal of Operational Research, Elsevier, vol. 242(2), pages 536-545.
    9. Petsakos, Athanasios & Rozakis, Stelios, 2011. "Integrating risk and uncertainty in PMP models," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114762, European Association of Agricultural Economists.
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    More about this item


    forest planning; integer programming; reserves; tabu search; timber production; zoning;

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns


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