Assessment of Moisture Status and Crop Production in Different Climate of Iran

Document Type : Research Paper

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Abstract

Drought varies with regard to the time of occurrence, duration, intensity, and extent of the area affected from year to year. The objective of this study was therefore to gather and analyze standardized information on Role of Early Warning Systems by FAO56 and UNESCO models for cereals (wheat, barley, corn and rice), leguminous (bean, chickpea, lentil and alfalfa) and industrial crops (soybean, sunflower, canola, sugare beat, potato and cotton) in Iran environmental zones. To gather information on perceived risks and foreseen impacts of climatic factors on crops production, we designed a set of qualitative and quantitative data from agrometeorological and agriculture organizations in 44 stations in Iran (1961-2010). Annual average rainfall (mm.y-1) and ETo (mm.y-1) in stations with very dry climate are 76.56 and 3001.03, respectively, these rates for stations with dry climate are 195.41 mm.y-1 and 2249.44 mm.y-1, for stations with semi dry climate is 343.9 mm.y-1 and 1351.62 mm.y-1, for stations with semi humid climate is 583.8 mm.y-1 and 1153.4 mm.y-1 and for stations with humid climate is 1272.16 mm.y-1 and 949.91 mm.y-1. The maximum and minimum of Annual average rainfall happened in Rasht (1337.5 mm.y-1) and Zabol (57.7 mm.y-1) stations, and the maximum and minimum for Annual average ETo happened in Chabahar (3909.15 mm.y-1) and Anzali harbor (890.6 mm.y-1), respectively. Therefore, 13.63 percent of stations have suitable conditions for crop productions and 86.37 percent are in critical and unsustainable conditions.
 

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References

Araya A, Keesstra SD and Stroosnijder L, 2010. A new agro-climatic classification for crop suitability zoning in northern semi-arid Ethiopia. Agriculture For Meteorology, 150: 1057–1064.
Bishnoi OP, 2010. Applied agroclimetology. Oxford book company. Jaipur, India. Pp 540.
Dehghani Sanij H, Yamamoto T and Rasiah V, 2004. Assessment of Evapotranspiration Estimation Models for use in Semi-arid Environments, Agricultural Water Management, 64: 91-106.
 
Dinpashoh Y, 2006. Study of Reference Crop Evapotranspiration in I.R. of Iran, Agricultural Water Management, 84: 123-129.
Dunay S and Czakó F, 1987. Use of meteorological information in the agricultural production. In: Reports on Scientific Research of the Hungarian Meteorological Service. HMS, Budapest. pp. 193-209.
‌‌‌‌Gholipoor M, 2008. Quantifying threshold frost hardiness for overwintering survival of wheat in Iran, using simulation. International Journal of Plant Production, 2: 125-136.
Gholipoor M, 2008. Evaluating the effect of crop residue on water relations of rainfed chickpea in Iran, using simulation. International meeting on soil fertility, Land Management And Agroclimatology, Turkey.
Gong Lebing Xu, Chong-yu Ch, Deliang Halldin S and Chen Yongqin D, 2006. Sensitivity of the Penman–Monteith Reference Evapotranspiration to Key Climatic Variables in the Changjiang (Yangtze River) Basin Journal of Hydrology, 329: 620– 629.
Grismer MASCE, Orang M and Matyac S, 2002, Pan Evaporation to Evapotranspiration Conversion Methods, Journal of Irrigation and Drainage Engineering, 128(3): 180–184.
Habashi H, Hoseini SM, Mohamadi J and Rahmani R, 2007. Geostatistic Applied in Forest Soil Studying Processes, Journal of Agriculture Sciences and Natural  Resources, 14(1): 18-27. (In Persian).
IPCC (Intergovernmental Panel on Climate Change). 2007. Climate change and its impacts in the near and long term under different scenarios, Climate Change 2007: Synthesis Report, The Core Writing Team, R K Pachauri, A Reisinger Eds., Geneva, Switzerland: IPCC, 43–54.
Irmark S, Irmark A, Allen RG and Jones JW, 2003. Solar and Net Radiation_based Equations to Estimate Reference Evapotranspiration in Humid Climates, Journal of Irrigation Drainge Engineering, 129(5): 336-347.
Jacovides CP, 1997. Reply to Comment on Statistical Procedures for the Evaluation of Evapotranspiration Models, Agricultural Water management, 3: 95-97.
Kouchakzadeh M and Nikbakht J, 2004. Comparison of Different Methods to Estimate Reference Evapotranspiration in Iran Different Climate with PMFAO Standard Method, Agricultural Sciences, 10(3): 43-57.
Kouchakzadeh M and Bahmani A, 2005. Assessment of Artificial Neural Networks Revenue in Reducing Required Parameters for Estimation of Reference Evapotranspiration, Journal Of Agricultural Sciences Islamic Azad University, 4: 87-97. (In Persian).
Monnik K, 2000. Role of drought early warning systems in South Africa’s evolving policy. In: Early warning systems for drought preparedness and drought management. WMO, Geneva, 47-46.
Rahimi Khoob A, 2008. Artificial Neural Network Estimation of Reference Evapotranspiration from pan Evaporation in a Semi-arid Environment, Irrigation Science, 27: 35–39.
Raziei T, Daneshkar Arasteh P and Saghafian B, 2005. Annual Rainfall Trend Analysis in Arid and Semi-arid Region of Central and Eastern Iran, Water and Wastewater, 54: 73-81.
Sabziparvar A, 2008. A Simple Formula for Estimating Global Solar Radiation in Central Arid Deserts of Iran, Journal of Renewable Energy, 33(5): 1002-1010.
Sabziparvar A and Shetaee H, 2007. Estimation of Global Solar Radiation in Arid and Semi-arid Climates of East and West Iran, Energy, 32, 649–655.
Salih AM and Sendil U, 1983. Evapotranspiration under Extremely Arid Environment, Journal of Irrigation Drainge Engineering, 110(3): 289–303.
Sharafi S and Ebrahimi A and Madani H, 2014. Situation of Iran agriculture in 50 years ago. First national congress of unoperent defense. Qeshm Iland, 1102-1114. (In Persian).
 
Soltani A and Sinclair TR, 2012. Modeling Physiology of Crop Development, Growth and Yield. CABI publication. 322p.
Sun L and Song Ch, 2008. Evapotranspiration from a Freshwater Marsh in the Sanjiang Plain, Northeast China, Journal of Hydrology, 352, 202– 210.
Svoboda MD, 2000. Development of a climate monitoring system: an introduction to the drought monitor. In: Proceedings of the Central and Eastern European Workshop on Drought Mitigation. Budapest, pp. 205-212.
Szalai S, Szinell CS and Zoboki J, 2000. Drought Monitoring in Hungary. In: Early warning systems for drought preparedness and drought management. WMO, Geneva. pp. 161-176.
Zareh Abianeh H, Sabziparvar AA, Maroufi S and Ghasemi A, 2010. Investigation of different methods of evapotranspiration of potential and zonation of them in Iran. Journal of natural geography researchs, 74: 11-95. (In Persian).
JOURNAL OF AGRICULTURAL SCIENCE AND SUSTAINABLE PRODUCTION
Volume 27, Issue 1
April 2017
Pages 103-120

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