Comparison of water footprint in various irrigated and rainfed wheat agro-ecosystems from Iran

Document Type : Research Paper

Authors

1 Assistant Professor, Department of Production Engineering and Plant Genetics, Faculty of Agriculture, Lorestan University, Khorramabad, Iran

2 Associate Professor, Department of Ecological Agriculture, Research Institute of Environmental Sciences, Shahid Beheshti University, Tehran, Iran.

3 PhD student, Department of Agriculture and Plant Breeding, Faculty of Agriculture, Isfahan University of Technology, Isfahan, Iran.

Abstract

Background and objectives:
A proper understanding of crop yield and corresponding water consumption is important to reach the sustainable agriculture. Water footprint (WF) is one of the indicators for describing water consumption and water use efficiency so that its accurate estimation in different climates and cropping systems (i.e. rainfed and irrigated) could be effective in managing water resources. WF consists of four components included green water, blue water, gray water, and white water. The magnitude of WF and its components is notably affected by deferent factors such as soil type, climate, and water management practices. Accordingly, the current study aimed to assess water footprint and its components in various irrigated and rainfed wheat agro-ecosystems of Iran.
Materials and methods: In the current study, water footprints and its components (blue, green, gray, and white waters) were simulated for irrigated and rainfed wheat agro-ecosystems in six locations in Iran (Ardebil, Hamedan, Sanandaj, Tabriz, Urmia, and Zanjan) during the 37-year period (1980-2016) using APSIM (Agricultural Production Systems sIMulator) crop model. To do this, four inputs for the crop model including crop characteristics (i.e. genetic coefficients), climatic data (i.e. maximum and minimum temperatures, rainfall, and solar radiation), soil characteristics (i.e. soil water content at wilting point and field capacity, saturation water content and bulk density), and management practices (i.e. sowing date, nitrogen fertilizer, irrigation, and etc.) were gathered to run the crop model. Outputs from the model were used to estimate WF components. The outputs included grain yield, cumulative net irrigation, and evapotranspiration in irrigated and rainfed systems, respectively.
Results: The results showed that grain yield and total WF were 2.4 t ha-1 and 1498 m3 t-1 for rainfed, and 5.7 t ha-1 and 1393 m3 t-1 for irrigated systems. The magnitude of WF was not only associated with type of cropping system (i.e. irrigated and rainfed) but also strongly region-dependent. Shifting from rainfed wheat cultivation to irrigated one increased WF of +15.2, +14.6, +28.1 % for Tabriz, Urmia, and Zanjan and decreased WF of -5.94, -9.03, and -9.12 % for Ardebil, Hamedan, and Sanandaj, respectively. In irrigated wheat systems, the shrare of green, blue, gray, and white waters in total WF simulated by 32.3, 24.2, 20.9, and 22.6 %, respectively. However, in rainfed wheat systems, the shrare of green and gray waters in total WF estimated by 90.3 and 9.60 %, respectively.
Conclusion: The findings of the current research showed that shifting from irrigated to rainfed cultivation of wheat in some areas of northwestern Iran (i.e. Ardebil, Hamedan, and Sanandaj) could lead to a significant reduction in blue water consumption (less irrigation) and subsequently increase sustainability in these areas.

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References

  1. Ababaei, B. & Ramezani-Etedali, H. (2017). Water footprint assessment of main cereals in Agric. Water Manag. 179: 40. 401-411.
  2. Ababaei, B. & Ramezani-Etedali., H. 2016. Estimation of water footprint compartments in national wheat production. J. Water Soil. 29: 6. 1458-1468. (In Persian)
  3. Abbasi, F., Sohrab, F. & Abbasi, N. (2017). Evaluation of irrigation efficiencies in Iran. Irrig. Drain. Struct. Eng. Res. 17: 67. 113-128. (In Persian)
  4. Ahmed, S. M. & Ribbe, L. (2011). Analysis of water footprints of rainfed and irrigated crops in Sudan. J. Nat. Resour. Develop. 1: 3. 20-28.
  5. Aligholi Nia, T., Sheibani, H., Mohammadi, O. & Hesam, M. (2019). Evaluation and comparison of blue, green and gray water footprint of wheat in different climates of Iran. Iran Water Resour. Res. 15: 3. 234-245. (In Persian)
  6. Bazrafshan, O., Ramezani-Etedali, H., Moshizi, Z.G.N. & Shamili, M. 2019. Virtual water trade and water footprint accounting of saffron production in Iran. Agric. Water Manag. 213: 35. 368-374.
  7. Chapagain, A.K., Hoeksta, A.Y. & Savenije, H.H.G. (2006). Water saving through international trade of agricultural products. Hydrol. Earth Syst. Sci. Discuss. 10: 3. 455–468.
  8. Deihimfard, R., Mahallati, M.N. & Koocheki, A. (2015). Yield gap analysis in major wheat growing areas of Khorasan province, Iran, through crop modelling. Field Crops Res. 184: 4. 28-38.
  9. Deihimfard, R., Rahimi-Moghaddam, S., Collins, B. & Azizi, K. (2022). Future climate change could reduce irrigated and rainfed wheat water footprint in arid environments. Sci. Total Environ. 807: 19. 150991.
  10. Elbeltagi, A., Deng, J., Wang, K. & Hong, Y. (2020). Crop water footprint estimation and modeling using an artificial neural network approach in the Nile Delta, Egypt. Agric. Water Manag. 235: 7. 106080.
  11. Feng, B., Zhuo, L., Xie, D., Mao, Y., Gao, J., Xie, P. & Wu, P. (2021). A quantitative review of water footprint accounting and simulation for crop production based on publications during 2002-2018. Ecol. Indic. 120: 66. 106962.
  12. Gao, J., Xie, P., Zhuo, L., Shang, K., Ji, X. & Wu, P. (2021). Water footprints of irrigated crop production and meteorological driving factors at multiple temporal scales. Agric. Water Manag. 255: 26. 107014.
  13. Hoekstra, A.Y. & Chapagain, A.K. (2008). Globalization of water: Sharing the Planet’s freshwater resources. Blackwell Publishing, Oxford, UK.
  14. Holzworth, D.P., Huth, N.I., Zurcher, E.J., Herrmann, N.I., McLean, G., Chenu, K., van Oosterom, E.J., Snow, V., Murphy, C., Moore, A.D. & Brown, H. (2014). APSIM–evolution towards a new generation of agricultural systems simulation. Environ. Model. Softw. 62: 1. 327-350.
  15. Iglesias, A. & Garrote, L. (2015). Adaptation strategies for agricultural water management under climate change in Europe. Agric. Water Manag. 155: 11. 113-124.
  16. Madani, K. 2014. Water management in Iran: what is causing the looming crisis? J. Environ. Stud. Sci. 4: 4. 315–328.
  17. Mojtahedi, M., Kalantari, K., Asadi, A., Varmazyari, H., & Hosseinzad, J. (2021). Investigating the water footprint components of wheat and barley in east Azerbaijan province. Iran J. Soil Water Res. 52: 4. 981-995. (In Persian)
  18. Nazari, R., Ramezani Etedali, H., Nazari, B., & Collins, B. (2020). The impact of climate variability on water footprint components of rainfed wheat and barley in the Qazvin province of Iran. Drain. Syst. 69: 4. 826-843.
  19. Rahimi-Moghaddam, S., Deihimfard, R., Azizi, K., & Roustaii, M. (2021). Characterizing spatial and temporal trends in drought patterns of rainfed wheat (Triticum aestivum ) across various climatic conditions: a modelling approach. Eur. J. Agron. 129: 7. 126333.
  20. Zahed, M., Soltani, A., Zeinali, E., Torabi, B., Zand, E. & Alimagham, S. (2020). Modeling of irrigated wheat yield potential and gap in Iran. Crop Prod. 12: 3. 35-52. (In Persian)
  21. Zheng, J., Wang, W., Ding, Y., Liu, G., Xing, W., Cao, X. & Chen, D. (2020). Assessment of climate change impact on the water footprint in rice production: historical simulation and future projections at two representative rice cropping sites of China. Sci. Total Environ. 709: 34. 136190.
  22. Zhuo, L., Mekonnen, M.M. & Hoekstra, A.Y. (2014). Sensitivity and uncertainty in crop water footprint accounting: a case study for the Yellow River basin. Hydrol. Earth Syst. Sci. 18: 6. 2219-2234.
Journal of Crop Production
Volume 16, Issue 2
June 2023
Pages 43-60

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