Investigating the Trend of Long-Term Changes in Wheat (Triticum aestivum L.) and Watermelon (Citrullus lanatus) Water Footprints in Sistan and Baluchestan with Mann Kendall Trend Test

بوم شناسی کشاورزی

Article 7, Volume 15, Issue 4 - Serial Number 58, December 2024, Pages 755-768   

Document Type: Research Article

DOI: 10.22067/agry.2022.74569.1088

Authors

vida Varnaseri Ghandali¹; Mahmood Ramroudi^{* 2}; Fatmeh Karandish³; Mohammad Galavi⁴; tohid Aligholinia⁵

¹Department of Agroecology, Faculty of Agriculture,University of Zabol, Zabol, Iran

²Department of Agronomy, Faculty of Agriculture,University of Zabol, Zabol, Iran

³Department of Water Engineering, Faculty of Agriculture,University of Zabol, Zabol, Iran

⁴Department of Agronomy, Faculty of Agriculture, University of Zabol, Zabol, Iran.

⁵Department of Water Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.

Abstract

Introduction
     One of the main problems in arid and semi-arid regions of the country is the lack of water for irrigating agricultural products and other uses. Sistan and Baluchestan province is one of the provinces that is considered as one of the arid and semi-arid regions in Iran that is facing water shortage. The present study aimed at evaluating the trend of changes in water footprint of two crops that is wheat and watermelon as the main crops in Sistan and Baluchestan province. In this way, the changes in water footprint in the two components of blue and green water of products and the cause of these changes under the influence of various factors will be investigated.
Materials and Methods
     The present study aimed at evaluating the trend of changes in water footprint of two crops that is wheat and watermelon as the main crops in Sistan and Baluchestan province. In this way, the changes in water footprint in the two components of water and green water of products and the cause of these changes under the influence of various factors will be investigated. For this purpose, first the water footprint of these two products were investigated in all cities where they were cultivated in two sections: blue and green water footprint in a 30-years’ time span from 1978 to 2017. Then, by using Mann Kendall Trend Test, the trend of long-term changes was investigated. Water footprint calculations were performed through cropwat and aqua crop software and finally according to the blue and green water footprint formula in Excel.
 
Results and Discussion
     The results have indicated that the trend of changes in wheat water footprint has been increasing in Sarbaz and Iranshahr.  As for watermelon, this trend has been also increasing in Zahedan and Konarak and this is mainly due to reduced rainfall and yields. The average water footprint of wheat and watermelon in Sistan and Baluchestan province has been reported to be 2134.9 and 318.1, respectively. Moreover, the share of blue and green water for two crops of wheat and watermelon has been reported to be 1773, 361.9 and 291.7, 26.5 respectively. The results obtained in this study are consistent with Karandish's research (Kardashian, 2018). The 30-years trend of Mann Kendall method calculated water footprint in three sections of blue green and total water, as well as for yield and rainfall. The results of trend finding for both wheat and watermelon at 95 and 99% levels showed that the yield of watermelon in Nikshahr, Chabahar and Khash counties had an increasing trend and this reduced the blue water footprint and consequently reduced the total water footprint of the crop. Wheat crop is a more effective factor and with the changes of its 30-years trend, the water footprint of the crop, especially its green water footprint, has been affected. In Zabol, Iranshahr and Zahedan stations, this issue is quite evident and with the decrease of rainfall trend, the green water footprint of the crop has decreased.
Conclusion
     The results show more water footprint of wheat than watermelon, which is due to the high yield of watermelon versus wheat.  In comparing the green and blue water footprints of the crops, the results show a greater share of green water footprints in the wheat crop than the watermelon crop, which is also due to the length of the growing season and the date of cultivation and harvest of wheat and more use of rainwater resources. Evaluating the trend of change with Mann Kendall Trend Test indicates an increase in yield and a decrease in rainfall in the 30 years studied in two places, which has increased the blue water footprint and reduced the green water footprint of crops.
Acknowledgements
     The corresponding author gratefully Acknowledgements the financial support from University of Zabol (Grant No. 9719-21). We would like to thank the anonymous reviewer for very helpful comments and suggestions of the manuscript.

Keywords

Blue water; Green water; Sarbaz; Water shortage; Konarak

References

1. Aligholina, T., Rezaei, H., Bahmanesh, J., & Montasseri, J. 2017. Study of water footprint index for dominant crops in the Lake Urmia Catchment and its relationship with irrigation management. Soil Science, 27: 4. 37-48. (In Persian with English Summery)
2. Aligholinia, T., Ghorbani, K., Rezaie, H., & Gorbani Nasr Abad, G. (2020). Evaluation and simulation of water footprints of agricultural crops in different climates of Iran considering of climate change scenarios. Iran-Water Resources Research, 16(3), 80-97. (In Persian with English Summery) 1001.1.17352347.1399.16.3.6.4
3. Aligholinia, T., Sheibani, H., Mohammadi, O., & Hesam, M. (2021). Evaluation and comparison of blue, green and gray water footprint of wheat in different climates of Iran. Iran-Water Resources Research, 15(3), 234-245. (In Persian with English Summery) 1001.1.17352347.1398.15.3.18.9
4. Allen, R.G., Pereira, L.S., Raes, D., & Smith, M. (1998). Crop Evapotranspiration (Guidelines for Computing Crop Water Requirements). FAO Irrigation and Drainage, FAO.
5. AQUASTAT, (2016). Food and Agriculture Organization of the United Nations, Rome, Italy. http://www.fao.org/faostat/en/.
6. Arabi, A., Alizadeh, A., Vahab Rajaee, N., Jam K., & Niknia, N. 2012. Agricultural Water Foot Print and Virtual Water Budget in Iran Related to the Consumption of Crop Products by Conserving Irrigation Efficiency. Journal of Water Resource and Protection, 4: 318-324. DOI: 4236/jwarp.2012.45035
7. Araya, A., Habtu, S., Hadgu, K.M., Kebede, A., & Dejene, T. (2010). Test of AquaCrop model in simulating biomass and yield of water deficient and irrigated barley (Hordeum vulgare). Agricultural Water Management, 11, 1838-1846. https://doi.org/10.1016/j.agwat.2010.06.021
8. Chapagain, A.K., & Hoekstra, A.Y. (2012). The blue, green and grey water footprint of rice from production and consumption perspectives. Ecological Economics, 70, 749–758. https://doi.org/10.1016/j.ecolecon.2010.11.012
9. Chico, D., Aldaya, M., & Garrido, A. (2013). A water footprint assessment of a pair of jeans: The influence of agricultural policies on the sustainability of consumer products. Journal of Cleaner Production, 57, 238-248. https://doi.org/10.1016/j.jclepro.2013.06.001
10. Dahmardeh Ghaleno, M.R., Sadoddin, A., Sheikh, V., & Sabouhi, M. (2017). Optimal utilization of the chahnimeh water reservoirs in Sistan region of Iran using goal programming method. Eco Persia, 5(1), 1641-1654. DOI:10.18869/modares.ecopersia.5.1.1641
11. Doorenbos, J., & Pruitt, W.O. 1984. Guidelines for Predicting Crop Water Requirements. Irrigation and Drainage Paper No. 24, FAO, Rome, Italy, 144 p.
12. Ene, A.S., Teodosiu, C., Robu, B., & Volf, I. (2013). Water footprint assessment in the winemaking industry: A case study of office paper. Journal of Cleaner Production, 24, 30-35. https://doi.org/10.1016/j.jclepro.2012.11.051
13. FAO. (2010). Global Information and Early Warning System (GIEWS). FAO, Rome, fao.org/giews/countrybrief/index.jsp.
14. Garcia-morrillo, J., Martin, M., Camacho, E., Rodriguez Diaz, J.A., & Montesino, I. (2015). Toward precision irrigation for intensive strawberry cultivation. Agriculture water Management, 51, 43-51. https://doi.org/10.1016/j.agwat.2014.09.021
15. Golabi, M.R., Radmanesh, F., Akhondali, A.M., & Niksokhan, M.H. (2019). Investigation of annual water footprint trend of barley production (Case study: Esfahan province). 15-17. The first conference on adaptation strategies to dehydration in arid and semi-arid regions Hakim sabzevary of university.Sabzevar. NOV--11-19.
16. Hekmatnia, M., Hosseini, S.M., & Safdari, M. (2020). Water resource management of the agricultural sector in Sistan and Baluchestan province: A virtual water perspective. Journal of Irrigation and Water Engineering, 11(41), 137-149. (In Persian with English Summery) 22125/IWE.2020.114958
17. Herath, I., Green, S., Horne, D., Singh, R., & Clothier, B. (2014). Quantifying and reducing the water footprint of rain-fed potato production, part I: Measuring the net use of blue and green water. Journal of Cleaner Production, 81, 111-119. https://doi.org/10.1016/j.jclepro.2014.06.026
18. Hoekstra, A.Y., & Chapagain, A.K. (2007). Water footprints of nations: Water use by people as a function of their consumption pattern. Water Resources Management, 21(1), 35–48. DOI:10.1007/978-1-4020-5591-1_3
19. Hoekstra, A.Y., & Hung, P.Q. (2005). Globalization of water resources: International virtual water flows in relation to crop trade. Global Environmental Change, 15(1), 45-56. https://doi.org/10.1016/j.gloenvcha.2004.06.004
20. Hsiao, T.C., Steduto, P., Raes, D., & Fereres, E. (2009). AquaCrop: The FAO crop water model to simulate yield response to water: III. Parameterization and testing for maize. Agricultural Journal, 101, 448-459. https://doi.org/10.2134/agronj2008.0218s
21. Jefferies, D., Munoz, I., Hoedges, J., King, V.J., Aldaya, M.M., Ercin, A.E., Mila I Canals, L.L., & Hoekstra, A.Y. (2012). Water footprint and life cycle assessment as approaches to assess potential impacts of products on water consumption. Key learning points from pilot studies on tea and margarine. Journal of Cleaner Production, 33, 155-166. https://doi.org/10.1016/j.jclepro.2012.04.015
22. Karadish, F., & Hoekstra, A.Y. (2017). Informing national food and water security policy through water footprint assessment: The case of Iran. Water, 9)11(, 1-25. DOI:3390/w9110831
23. Karadish, F., & Šimůnek, J. (2018). An application of the water footprint assessment to optimize production of crops irrigated with saline water: A scenario assessment with HYDRUS. Agricultural Water Management, 208, 67–82. https://doi.org/10.1016/j.agwat.2018.06.010
24. Karadish, F., & Šimůnek, J. (2019). A comparison of the HYDRUS (2D/3D) and SALTMED models to investigate the influence of various water-saving irrigation strategies on the maize water footprint. Agricultural Water Management, 213, 809–820. https://doi.org/10.1016/j.agwat.2018.11.023
25. Karandish, F. (2018). Analyzing management scenarios for proper wheat production and consumption in Iran regarding water footprint: Challenges and opportunities. Iranian of Irrigation and Water Engineering, 12(4), 954-969. (In Persian with English Summery)
26. Kendall, M.G. (1975). Rank correlation methods. Charles Griffin, London.
27. Mann, H.B. (1945). Nonparametric tests against trend. Econometrical, 13, 245-259. https://doi.org/10.2307/1907187
28. Nana, E., Corbari, C., & Bocchiola, D. (2014). A model for crop yield and water footprint assessment: Study of maize in the Po valley. Agricultural Systems, 127, 139-149. https://doi.org/10.1016/j.agsy.2014.03.006
29. Salari, S., Karandish, F., & Darzi-Naftchali., A. (2015). Spatial and temporal analyses of the wheat virtual water variations in Sistan and Blouchestan province. Iranian of Irrigation and Water Engineering,5(18), 81-94. (In Persian with English Summery)
30. Todorovic, M., Albrizio, R., Zivotic, l., Saab, M.T.A., Stöckle, C., & Steduto, P. (2009). Assessment of AquaCrop, Crop Syst, and WOFOST models in the simulation of sunflower growth under different water regimes. Agronomy Journal, 101(3), 509–521. https://doi.org/10.2134/agronj2008.0166s
31. Turgay, P., & Ercan, K. (2005). Trend Analysis in Turkish precipitation data. Hydrological processes published online in Wiley Interscience (Interscience.wiley.com).
32. Yao, C., Teng, Y., & Huang, L. (2017). Evaluation index system construction and empirical analysis on food security in China. Transactions of the Chinese Society of Agricultural Engineering, 31(4), 1-10. DOI:10.3969/j.issn.1002-6819.2015.04.001
33. Yarahmadi, J. (2003). The integration of satellite images, GIS and CROPWAT model to investigation of water balance in irrigated area; A Case Study of Salmas and Tassooj Plain, Iran. 65pp.