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To replant or to irrigate: A silvicultural decision model for afforestation projects

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  • Del Río San José, Jorge
  • Reque Kilchenmann, José
  • Martínez De Azagra Paredes, Andrés

Abstract

This article develops an economic model that compares the option of replacement planting to maintain target density with the option of enhancing seedling survival from the beginning by applying irrigation. The model we develop uses variables common in forestry practice and yields the threshold value of seedling failure at which both alternatives offer the same economic result based on a comparative analysis of costs and benefits. By comparing this threshold with the level of seedling failure expected for an afforestation in the absence of irrigation, the planner can make an informed decision between both alternatives. The model has been applied to thirteen practical cases covering a wide range of plantations with different density, purpose and average annual net income. Based on the results obtained, a k-means clustering is carried out to identify five groups according to their suitability for irrigation. The sensitivity of the model's input variables in respect to the threshold of seedling failure is also analized. Irrigation is profitable when the expected level of seedling failure is high and/or the value of the threshold decision is low. The latter is usually the case at afforestations that require a low acceptable level of seedling failure and/or in productive plantation forestry.

Suggested Citation

  • Del Río San José, Jorge & Reque Kilchenmann, José & Martínez De Azagra Paredes, Andrés, 2018. "To replant or to irrigate: A silvicultural decision model for afforestation projects," Forest Policy and Economics, Elsevier, vol. 93(C), pages 18-29.
    • Handle: RePEc:eee:forpol:v:93:y:2018:i:c:p:18-29
    DOI: 10.1016/j.forpol.2018.05.007
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    1. Andrés Weintraub & Carlos Romero, 2006. "Operations Research Models and the Management of Agricultural and Forestry Resources: A Review and Comparison," Interfaces, INFORMS, vol. 36(5), pages 446-457, October.
    2. Wainger, Lisa A. & King, Dennis M. & Mack, Richard N. & Price, Elizabeth W. & Maslin, Thomas, 2010. "Can the concept of ecosystem services be practically applied to improve natural resource management decisions?," Ecological Economics, Elsevier, vol. 69(5), pages 978-987, March.
    3. Mikael Rönnqvist & Sophie D’Amours & Andres Weintraub & Alejandro Jofre & Eldon Gunn & Robert Haight & David Martell & Alan Murray & Carlos Romero, 2015. "Operations Research challenges in forestry: 33 open problems," Annals of Operations Research, Springer, vol. 232(1), pages 11-40, September.
    4. Macmillan, Douglas C. & Harley, David & Morrison, Ruth, 1998. "Cost-effectiveness analysis of woodland ecosystem restoration," Ecological Economics, Elsevier, vol. 27(3), pages 313-324, December.
    5. Robert Tibshirani & Guenther Walther & Trevor Hastie, 2001. "Estimating the number of clusters in a data set via the gap statistic," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 411-423.
    6. Bor, Yunchang Jeffrey, 1995. "Optimal pest management and economic threshold," Agricultural Systems, Elsevier, vol. 49(2), pages 113-133.
    7. R. Mechler, 2016. "Reviewing estimates of the economic efficiency of disaster risk management: opportunities and limitations of using risk-based cost–benefit analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 2121-2147, April.
    8. Grêt-Regamey, Adrienne & Sirén, Elina & Brunner, Sibyl Hanna & Weibel, Bettina, 2017. "Review of decision support tools to operationalize the ecosystem services concept," Ecosystem Services, Elsevier, vol. 26(PB), pages 306-315.
    9. Utkur Djanibekov & Asia Khamzina, 2016. "Stochastic Economic Assessment of Afforestation on Marginal Land in Irrigated Farming System," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(1), pages 95-117, January.
    10. Masiero, Mauro & Secco, Laura & Pettenella, Davide & Brotto, Lucio, 2015. "Standards and guidelines for forest plantation management: A global comparative study," Forest Policy and Economics, Elsevier, vol. 53(C), pages 29-44.
    11. Hildebrandt, Patrick & Knoke, Thomas, 2011. "Investment decisions under uncertainty--A methodological review on forest science studies," Forest Policy and Economics, Elsevier, vol. 13(1), pages 1-15, January.
    12. Keith M. Reynolds & Mark Twery & Manfred J. Lexer & Harald Vacik & Duncan Ray & Guofan Shao & Jose G. Borges, 2008. "Decision Support Systems in Forest Management," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 2, chapter 60, pages 499-533, Springer.
    13. B. Bare & Andres Weintraub, 2015. "Brief history of systems analysis in forest resources," Annals of Operations Research, Springer, vol. 232(1), pages 1-10, September.
    14. Martell, David L. & Gunn, Eldon A. & Weintraub, Andres, 1998. "Forest management challenges for operational researchers," European Journal of Operational Research, Elsevier, vol. 104(1), pages 1-17, January.
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