مدیریت بهینۀ جنگل با استفاده از رویکردهای برنامه‌ریزی آرمانی و تحلیل سلسله‌مراتبی فازی در جنگل‌های هیرکانی

نوع مقاله: علمی - پژوهشی

نویسندگان

1 دانشجوی دکتری جنگلداری، دانشکده منابع طبیعی، دانشگاه گیلان، صومعه سرا، ایران

2 دانشیار، گروه جنگلداری، دانشکده منابع طبیعی، دانشگاه گیلان، صومعه سرا، ایران

3 استادیار، گروه اقتصاد جنگلداری و برنامه ریزی جنگل، دانشگاه فرایبورگ، فرایبورگ، آلمان

چکیده

هدف از این تحقیق تعیین سطح بهینه موجودی در جنگل‌های ایران است. در این بررسی، از مدل برنامه‌ریزی آرمانی برای محاسبه حجم بهینه گونه‌های مختلف با در نظر گرفتن مسائل اقتصادی، زیست‌محیطی و اجتماعی استفاده شد. در این روش چندین هدف در فرآیند تصمیم‌گیری برای رسیدن به حداکثر ارزش خالص فعلی، ترسیب کربن و اشتغال مدنظر قرار گرفت. از تحلیل رگرسیون برای تعیین مدل رویش جنگل استفاده شد. همچنین از معادلات آلومتریک برای تعیین مقدار ترسیب کربن استفاده شد. سپس میانگین قیمت مورد انتظار با استفاده از قیمت چوب و هزینه‌های بهره‌برداری برای تعیین ارزش خالص فعلی برآورد شد. برای وزن­دهی اهداف و تعیین موجودی بهینه در جنگل، از روش تحلیل سلسله‌مراتبی فازی و نظر متخصصین با استفاده از پرسشنامه استفاده شد. بر اساس نتایج، حجم بهینه برای راش 2/256 مترمکعب در هکتار، ممرز 2/61 مترمکعب در هکتار، بلوط 8/38 مترمکعب در هکتار، توسکا 4/20 مترمکعب در هکتار و دیگر گونه‌ها 4/20 مترمکعب در هکتار به­دست آمد. همچنین نتایج نشان داد که حجم بهینه کل 005/397 مترمکعب در هکتار محاسبه شد.

کلیدواژه‌ها


عنوان مقاله [English]

Optimal forest management decision making using goal programming and fuzzy analytic hierarchy process approaches in Hyrcanian mixed forests

نویسندگان [English]

  • Seyedeh Soma Etemad 1
  • Solyman Limaei 2
  • Rasoul Yousefpour 3
1 Ph.D. student of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Iran
2 Associate Prof., Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Iran
3 Assistant Prof., Department of Forestry Economics and Forest Planning, University of Freiburg, Freiburg, Germany
چکیده [English]

The aim of this research is to determine the optimal stock level in Hyrcanian forest of Iran. In this study, a goal programming techniques was used in order to estimate the optimal stock level of different tree species considering economics, environmental and social issues. Multiple objectives in the process of decision making were considered to maximize the net present value, carbon sequestration and labor. Regression analysis was used to develop a forest growth model. In addition, an allometric function was used to determine the amount of carbon sequestration. 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 by experts in order to determine the optimal stock level. Results showed that the optimal volumes were 256.2 m3⋅ha-1, 61.2 m3⋅ha-1, 38.8 m3⋅ha-1, 20.4 m3⋅ha-1 for, and 20.4 m3⋅ha-1 for beech, hornbeam, oak, alder and the other species, respectively. Furthermore, the results indicated that the total optimal volume is 397.005 m3⋅ha-1.

کلیدواژه‌ها [English]

  • Optimization
  • carbon sequestration
  • Shafaroud forests
  • multipurpose forest management
- Aldea, J., F. Martinez-Pena, C. Romero & L. Diaz-Balteiro, 2014. Participatory Goal Programming in Forest Management: An Application Integrating Several Ecosystem Services, Forests, 5(12): 3352-3371.

- Alizadeh, S. H., A. Salehi & M. R. Mirzaei, 2019. The efficiency of geostatistical methods in zoning the probability of presence of Persian Oak regeneration, Journal of Forest Research and Development, 5(1): 137-151. (In Persian)

- Amiri, T., A. Banj Shafiei, M. Erfanian, O. Hosseinzadeh, H. Beygi Heidarlou, 2017. Determining of effective criteria in locating firefighting station in forest. Forest Research and Development, 2(4): 379-393. (In Persian)

- Asgharpour, M., 2008. Multi Criteria Decision Making, sixth edition. University of Tehran Press, 232 p. (In Persian)

- Bilbao-Terol, A., M. Jimenez & M. Arenas-Parra, 2016. A group decision making model based on goal programming with fuzzy hierarchy: an application to regional forest planning, Annals of Operations Research, 245(1): 137-162.

- Buongiorno, J. & J. K. Gilless, 2003. Decision Methods for Forest Resource Management, Academic Press, San Diegao, USA, 439 p.

- Chang S. J. & J. A. Buongiorno, 1981. Programming Model for Multiple Use Forestry, Journal of Environmental Management, 13(1): 45-58.

- Charnes, A. & W. W. Cooper, 1971. Studies in mathematical and managerial economics. North Holand press, 234 p.

- Diaz-Balteiro, L., J. Gonzalez-Pachon & C. Romero, 2013. Goal programming in forest management: customizing models for the decision-maker's preferences, Scandinavian Journal of Forest Research, 28(2): 166-173.

- Gharagozlou, A. & M. Barzegar, 2008. Utopian planning using AHP approach for the optimization of the composition, bimonthly of trade, 29(5): 64-75. (In Persian)

- Kabiri Koupaei, K., 2009. Comparison of Carbon Sequestration and its Spatial Pattern in the Above Ground Woody Compartment of a Pure and Mixed Beech Forest (A case study of Gorazbon Forest North of Iran). PhD Thesis. Faculty of Natural Resources, University of Tehran, Karaj, Iran, 102 p. (In Persian)

- Mohammadi Limaei, S., 2006. Economically Optimal Values and Decisions in Iranian Forest Management. PhD thesis. Department of Forest Economics, Swedish University of Agricultural Sciences (SLU), Umea, Sweden, 110 p.

- Mohammadi Limaei, S., 2011. Economics Optimization of Forest Management. LAP LAMBERT Academic Publication, Germany, 140 p.

- Mohammadi Limaei, S., M. Seddigh Kouhi & T. Rostami Shahraji, 2014. Goal programming approach for sustainable forest management, Journal of Forestry Research, 25(2): 429-435.

- Mohammadi, Z., S. Mohammadi Limaei, P. Lohmander & L. Olsson, 2018. Estimation of a basal area growth model for individual trees in uneven-aged Caspian mixed species forests, Journal of Forestry Research, 29(5): 1205-1214.

- Moslehi, M., H. Habashi, M. R. Rahmani & K. H. Saghebtalebi, 2018. Relationship between soil organic carbon pool and some site variables in the mixed beechhornbeam stand, Journal of Forestry Research and Development, 3(4): 329-345. (In Persian)

- Niknejad, M., A. Fallah & S. Mohammadi Limaei, 2018. Sustainable Development of Forest Plantation using Goal Programing and Fuzzy-AHP, Iranian journal of Forests and Poplar Research, 26(2): 252-263. (In Persian)

- Ostadhashemi, R., T. Rostami Shahraji, S. Mohammadi Limaei & H. Roehle, 2013. Goal programming and analytical hierarchy process approaches for sustainable plantation, Caspian Journal of Environmental Sciences, 12(2): 233-244. (In Persian)

- Pohekar, S. D. & M. Ramachandran, 2004. Application of Multi-criteria Decision Making to Sustainable Energy Planning- A Review, Renewable and Sustainable Energy Reviews, 8(4): 365-381.

- Saaty, T. L., 1980. The analytic hierarchy process, McGraw-Hill, New York, NY, USA.

- Samghabadi, A. S., A. Memariani & A. Amani, 2004. Forest planning with use mathematical model, Pajouhesh & Sazandegi, 63: 23-34. (In Persian)

- Snowdon, P., J. Raison, H. Keith, P. Ritson, P. F. Grierson, M. Adams, K. Montagu, H. Bi. W. Burrows & D. Eamus, 2002. Protocol for Sampling Tree and Stand Biomass. National Carbon accounting System Technical, Australian Greenhouse Office. Report Number: 31, 66 p.

- Sporcic, M., M. Landekic, M. Lovric, S. Bogdan & K. Segotic, 2010. Multiple criteria decision making in forestry - Methods and experiences, Sumarski List, 134(5-6): 275-286.

- Vahidnia, M. H., A. A. Alesheika & A. Alimohammadi, 2009. Hospital site selection using AHP and its derivatives, Journal of Environmental Management, 90(10): 3048-3056.

- Yuste, J. C., B. Konopka, I. A. Janssens, K. Coenen, C. W. Xiao & R. Ceulemans, 2005. Contrasting net primary productivity and carbon distribution between neighboring stands of Quercusrobur and pinussylvestris, Tree Physiology, 25(6): 701-712.