Abstract
Linear risk programming was used to determine the optimum cultivation pattern to increase incomes of poplar farmers. Seven clones of Populus deltoides Bartr. ex Marsh. were examined in Guilan province, northern Iran. Growth and price data were taken from previous research at the Safrabaste Poplar Research Station and in interviews with farmers. The Lingo software was used to analyze the data in different forms of E. The results show that when risk was considered, the optimal solution included the clones Pd63/51-x1, -Pd72/51-x3, Pd73/51-x4 and Pd79/51-x6. There was a high growth fluctuations of the clones Pd69/55-x2, Pd77. 51-x5, and Pd caroliniensis-x7 and were not included in cultivation plans. Furthermore, the existing farm plans executed by local farmers, is neither profit-oriented nor efficient in terms of income risk management according to risk efficient frontier. These results could help farmers with different levels of risk-aversion to select proper planting plans.
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References
Abdeshahi A, Soltani G (2000) Investigation of farmers risk behavior using the empirical, econometric and risk programming models. J Wat Soli Scie 22(4):11–21
Branson WH (1979) Macroeconomic theory and policy. Harper & Row, New York, p 556
Brunette M, Jérôme F, NazindigoubaKéré E (2017) Attitude towards risk and production decision: an empirical analysis on French Private forest owners. Envir Mod and Asse 22(6):563–576. https://doi.org/10.1007/s10666-017-9570-6
Central Bank of Iran (2015) Data Resources, Iran. http://tsd.cbi.ir/Display/Content.aspx. Accessed 01 July 2015
Daneshvar-Kakhki M, Ghodrati-Azadi H (2009) Investigation the substitution capability of oilseeds in cropping pattern. Am J Appl Scien 6(12):1995–2000. https://doi.org/10.3844/ajassp.2009.1995.2000
General Office of Natural Resources and Watershed of Guilan Province (2015) Data Resources, Iran. http://www.frw.org.ir/00/En/. Accessed 12 Aug 2015
Harvey CA, Rakotobe ZL, Rao NS, Dave R, Razafimahatratra H, Rabarijohn RH, Rajaofara H, Mackinnon JL (2014) Extreme vulnerability of smallholder farmers to agricultural risks and climate change in Madagascar. Philos Trans R Soc Lond B Biol Sci 369(1639):20130089. https://doi.org/10.1098/rstb.2013.0089
Hazel Peter BR, Norton RD (1986) Mathematical programming for economic analysis in agriculture. Macmillan Publishing Co, New York p, p 400
Karimi GH (2015) Final report of the research project on the final stage of adaptation of various poplar cultivars (Populotum comparative) in Safrabaste. Research Institute of Forests and Rangelands, Rasht, Iran, p 210
Kaseva DM (2013) Analysis of optimal agroforestry enterprise mix under production risk in Mbooni West District. University of Nairobi Press, Kenya, p 145
Kehkha AA, Soltani Mohammadi G, Villano R (2005) Agricultural risk analysis in the Fars province of Iran: A risk-programming approach. Working Papers 12897, University of New England Press, p 18
Mohammadi Limaei S (2006) Economically optimal values and decisions in Iranian forest management. Swedish University Of Agricultural Sciences Press, Umeå, p 21
Mohammadi Limaei S, Lohmander P (2007) Stumpage prices in the Iranian Caspian forests. Pakis J Biolo Sci 6(7):1027–1036. https://doi.org/10.3923/ajps.2007.1027.1036
Payn T, Carnus JM, Freer-Smith P, Kimberley M, Kollert W, Liu S, Orazio Ch, Rodriguez L, Neves Silva L, Wingfield MJ (2015) Changes in planted forests and future global implications. For Ecol Manag 352:57–67. https://doi.org/10.1016/j.foreco.2015.06.021
Singh AK, Singh JP (1999) Production and benefit maximization through optimal crop planning-a case study of Mahi Command. Indian J Soil Conserv 27(2):152–157
Taghizadeh S, Navid H, Jamshidifar M, Fellegari R (2011) Analysis of simultaneous effect of water access requirements in Regional Water Corporation of West-Azerbaijan and risk factor on cultivation optimal pattern. Inter J Agric Bio Engin 4(3):26–32. https://doi.org/10.3965/j.issn.1934-6344.2011.03.026-032
Torkamani J, Kalai A (1999) The impact of risk on the Optimal Model of farmers exploitation: comparison of risks associated planning with MOTAD and Target MOTAD. J Agri Devel Econ 2(5):7–17
Acknowledgements
Our grateful thanks to Safrabaste Poplar Research Station for providing us with data and information. Also we should be thankful to the Indigenous people, especially the poplar farmers, of Astaneh-ye Ashrafiyeh for their compassion in cooperation with us.
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Namdari, S., Adeli, K., Mohammadi Limaei, S. et al. Risk assessment in poplar plantations: a case study from northern Iran. J. For. Res. 31, 1225–1233 (2020). https://doi.org/10.1007/s11676-019-00895-z
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DOI: https://doi.org/10.1007/s11676-019-00895-z