Journal of Emergy, Life Cycle and System Analysis in Agriculture

Document Type : Review article

Authors

1 Soil Conservation and Watershed Management Research Institute (SCWMRI), Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran

2 Department of Agricultural and Horticultural Research, Lorestan Agricultural and Natural Resources Research and Education Center, Agricultural Resaerch, Education and Extension Organization (AREEO), Khorramabad, Iran

3 Soil Conservation and Watershed Management Research Department, Lorestan Agricultural and Natural Resources Research and Education Center, AREEO, Khorramabad, Iran

Abstract

In most regions of Iran, including the province of Lorestan, the majority of agricultural activities are conducted in the open air. Climate risks have a significant impact on agricultural productivity. Drought and its effects are among the most significant natural threats to the agriculture industry in that area. The purpose of this study is to investigate the effects of drought on the yield of rain-fed crops in Aleshtar county, Lorestan province. To achieve this goal, a combination of field methods, remote sensing, and statistical methods was employed. During ground surveys, data required for laboratory operations (direct method) and measurements using AccuPAR and MODIS sensor images were collected (indirect method). In addition, precipitation data from synoptic stations in the province of Lorestan over the course of 27 years (1991-2017) were utilized to calculate the drought and its impact on yield. According to the calculated drought indices, in the province of Lorestan and the county of Aleshtar, the trend of increasing drought and the recurrence of long-term cycles of wet and drought are evident. The study of phenology characteristics of rainfed crops (barley) in relation to climate conditions revealed that an increase in thermal and water stress has a direct effect on the performance of rainfed crops. Therefore, an increase of 2.5 °C in the average temperature, combined with a lack of moisture supply during flowering, results in a decrease in the number of seeds per spike (16 seeds per spike) and, consequently, a decrease in the plant's yield. At various growth stages of rain-fed plants, the correlation index between LAI harvested by direct methods and remote sensing methods ranges between 0.57 and 0.96. This value represents the precision of remote sensing techniques. From 1991 to 2017, the correlation index values between the yield of rainfed plants, especially wheat and barley, and the values of various drought indices indicate a positive and direct relationship between yield and drought index values. The correlation index between yield and drought index values reaches its maximum value during 1-6 months, and its value decreases as time scales become longer. The physiological properties of various products are one of the primary causes of this circumstance. On the basis of the obtained results, it can be concluded that the increase in drought and heat stress in the province of Lorestan and the county of Aleshtar has caused a decrease in yield at various stages of plant growth and an increase in water demand for a variety of rainfed crops.

Highlights

  • According to drought indices, Aleshtar are experiencing increasing drought and long-term cycles of wet and dry.
  • A temperature increase of 2.5 °C combined with a lack of moisture during flowering reduces the number of seeds per spike and the plant's yield.
  • From 1991 to 2017, correlation index values between rainfed plant yields, especially wheat and barley, and drought indices indicate a positive and direct relationship.
  • Based on the results, it can be concluded that drought and heat stress in Aleshtar have decreased yield at various growth stages and increased water demand for rainfed crops.

Keywords

Ahmadi, H., Mastali, A. R., & Tabatabaeifar, S. A. (2010). Corn and soybean recognition and an estimation of the planted area, using remote sensing in Dasht-e-Naz agro-industrial company. Iranian Journal of Biosystems Engineering, 41(1), 53–60.  doi:10.1007/978-3-642-15479-9-5
Bakhshandeh, E., Soltani, A., & Ghadiryan, R. (2012). Leaf area index measurement by AccuPAR instrument in wheat. Journal of Plant Production, 18(4), 97–101.
Borken, W., et al. (2006). Effects of experimental drought on soil respiration and radiocarbon efflux from temperate forest soil. Global Change Biology, 12, 177–193. doi:10.1111/j.1365-2486.2005.001058.x
Deng, F., Chen, J. M., Plummer, S., Chen, M., & Pisek, J. (2006). Algorithm for global leaf area index retrieval using satellite imagery. IEEE Transactions on Geoscience and Remote Sensing, 24, 2219–2229. doi:10.1109/TGRS.2006.872100
Dutta, D., Kundu, A., Patel, N. R., Saha, S. K., & Siddiqui, A. R. (2015). Assessment of agricultural drought in Rajasthan (India) using remote sensing derived vegetation condition index (VCI) and standardized precipitation index (SPI). The Egyptian Journal of Remote Sensing and Space Sciences, 18, 53–63. doi:10.1166/jcp.2010.1003-987-4
Fatehi Marj, A., Hosseini Hosseinabadi, F., Gomrokchi, A., & Namaki, M. (2011). Agricultural drought risk management plan, case study: Alamut River basin in Qazvin. National Agricultural Drought Management Database, Soil Conservation and Watershed Management Research Institute, Tehran.
Garrigues, S., Shabanov, N. V., Swanson, K., Morisette, J. T., Baret, F., Myneni, R. B. (2008). Intercomparison and sensitivity analysis of leaf area index retrievals from LAI-2000, AccuPAR, and digital hemispherical photography over croplands. Agricultural and Forest Meteorology, 148, 1193–1209. doi:10.1111/hex.12487. 2017.11.014
Hogg, E. H., Brandt, J. P., & Michaelian, M. (2008). Impacts of a regional drought on the productivity, dieback, and biomass of western Canadian aspen forests. Canadian Journal of Forest Research, 38(6), 1373–1384. doi:10.1080/02626667.2018.1560449
Meteorological Office of Lorestan Province. (2016). Climate atlas of Lorestan province using geographical information system (p. 220). doi:10.1016/j.jpsychires.2017.11.014
Miri, M. (2016). Analysis of relationship between forest decline and climate changes in Ilam province (Ph.D. Thesis). University of Tehran.
Mirmosavei, S., Kareimei, H. (2013). Effect of drought on vegetation cover using MODIS sensing images case: Kurdistan province. Geography and Development, 11(31), 57–76. doi:10.1016/j.copsyc.2015.09.005
Norouzi, A., Mohammadi, Z. (2016). Survey of hydrological drought and its effects on Lenjan agricultural. Spatial Planning, 21(2), 97–116. doi:10.20.1001.1.22287485.1395.6.2.7.7
Sepulcre-Canto, G., Horion, S., Singleton, A., Carrao, H., & Vogt, J. (2012). Development of a combined drought indicator to detect agricultural drought in Europe. Natural Hazards and Earth System Sciences, 12, 3519–3531.
Tadesse, T., Wilhite, D., Harms, S., Hayes, M., & Goddard, S. (2004). Drought monitoring using data mining techniques: A case study for Nebraska, USA. Natural Hazards, 33(1), 137–159. doi:10.1023/B:NHAZ.0000035020.76733.0b
Yang, W., Shabanov, N. V., Huang, D., Wang, W., Dickinson, R. E., Nemani, R. R., Knyazikhin, Y., & Myneni, R. B. (2006). Analysis of leaf area index products from a combination of MODIS Terra and Aqua data. Remote Sensing of Environment, 104, 297–312. doi:10.1016/j.rse.2006.04.016
Yingbin, H., Uchida, S., Huajun, T., Youqi, C., & Jia, L. (2010). Application of TERRA/MODIS images, TM images, and weather data to assess the effect of cold damage on rice yield. International Journal of Agricultural and Biological Engineering, 3, 31–38. doi:10.3965/j.issn.1934-6344.2010.02.031-038 
Zand, M. (2001). Zoning of climate droughts in Lorestan province using statistical indicators. 01st National Conference on Mitigation of Water Crises, Zabol University. [In Persian]
 
Zand, M. (2018). The economic effects of drought on the income of dryland farmers (wheat and barley) in Khorramabad city. 7th National Conference on Rainwater Catchment Systems, Soil Conservation and Watershed Management Research Institute & Iranian Rainwater Catchment Systems Association. [In Persian]