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Forest management decision-making using goal programming and fuzzy analytic hierarchy process approaches (case study: Hyrcanian forests of Iran)

Author

Listed:
  • Seyedeh Soma Etemad

    (Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Iran)

  • Soleiman Mohammadi Limaei

    (Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Iran
    Department of Economics, Geography, Law and Tourism, Faculty of Human Sciences, Mid Sweden University, Sundsvall, Sweden)

  • Leif Olsson

    (Department of Information Systems and Technology, Faculty of Sciences, Technology and Media, Mid Sweden University, Sundsvall, Sweden)

  • Rasoul Yousefpour

    (Department of Forestry Economics and Forest Planning, University of Freiburg, Freiburg, Germany)

Abstract

The aim of this study is to determine the optimum stock level in the forest. In this research, a goal programming method was used to estimate the optimal stock level of different tree species considering environmental, economic and social issues. We consider multiple objectives in the process of decision-making to maximize carbon sequestration, net present value and labour. We used regression analysis to make a forest growth model and allometric functions for the quantification of carbon budget. Expected mean price is estimated using wood price and variable harvesting costs to determine the net present value of forest harvesting. The fuzzy analytic hierarchy process is applied to determine the weights of goals using questionnaires filled in by experts in order to generate the optimal stock level. According to the results of integrated goal programming approach and fuzzy analytic hierarchy processes, optimal volume for each species was calculated. The findings indicate that environmental, economic and social outcomes can be achieved in a multi-objective forestry program for the future forest management plans.

Suggested Citation

  • Seyedeh Soma Etemad & Soleiman Mohammadi Limaei & Leif Olsson & Rasoul Yousefpour, 2019. "Forest management decision-making using goal programming and fuzzy analytic hierarchy process approaches (case study: Hyrcanian forests of Iran)," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 65(9), pages 368-379.
    • Handle: RePEc:caa:jnljfs:v:65:y:2019:i:9:id:46-2019-jfs
    DOI: 10.17221/46/2019-JFS
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    References listed on IDEAS

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    1. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    2. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
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    Cited by:

    1. Mohsen Mostafa & Nishtman Hatami & Kambiz Espahbodi & Farhad Asadi, 2022. "Fuzzy Analytic Hierarchy Process (FAHP) applied to evaluating the forest management approaches," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 68(7), pages 263-276.

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