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Assessment of changing pattern of crop water stress in Bangladesh

  • Sumaiya Jarin Ahammed
  • Rajab Homsi
  • Najeebullah KhanEmail author
  • Shamsuddin Shahid
  • Mohammed Sanusi Shiru
  • Morteza Mohsenipour
  • Kamal Ahmed
  • Nadeem Nawaz
  • Nor Eliza Alias
  • Ali Yuzir
Article
  • 14 Downloads

Abstract

The Palmers’ crop moisture index (CMI) was used to assess the changing pattern of crop water stress of Bangladesh. Daily rainfall and temperature data for the period 1961–2010 recorded at eleven meteorological stations distributed across the country were used to estimate the time series of CMI. The run theory was used to estimate a set of metrics from CMI to define different characteristics of annual and seasonal crop water stress. The Mann–Kendall trend test was used for the assessment of the significance of the changes in crop water stress indicators at 95% and 99% level of confidence. The results showed that crop water stress in Bangladesh has increased in recent years, particularly in the pre-monsoon season. The annual and pre-monsoon cumulative crop water stress index was found to increase significantly in 5 and 4 out of 11 stations, respectively. As the major portion of total crop in Bangladesh is grown during pre-monsoon season, increasing crop water stress can affect agriculture and food security of Bangladesh. The set of matrices developed in this study can be to understand the different characteristics of water stress and adopting necessary mitigation measures in the context of climate change.

Keywords

Water stress Crop moisture index Climate change Trends Bangladesh 

Notes

Acknowledgements

The authors would like to state their appreciation to the funding from the Malaysian Ministry of Higher Education, MJIIT Flagship Grant (R.J130000.7722.4J282).

References

  1. Ahmed, K., Shahid, S., Bin Harun, S., & Wang, X.-J. (2016). Characterization of seasonal droughts in Balochistan Province. Pakistan Stochastic Environmental Research and Risk Assessment, 30, 747–762.CrossRefGoogle Scholar
  2. Ahmed, K., Shahid, S., Nawaz, N., & Khan, N. (2018b). Modeling climate change impacts on precipitation in arid regions of Pakistan: A non-local model output statistics downscaling approach. Theoretical and Applied Climatology.  https://doi.org/10.1007/s00704-018-2672-5.Google Scholar
  3. Ahmed, K., Shahid, S., Wang, X., Nawaz, N., & Najeebullah, K. (2019). Evaluation of gridded precipitation datasets over arid regions of Pakistan. Water, 11, 210.CrossRefGoogle Scholar
  4. Ahmed, B., et al. (2018a). Indigenous people’s responses to drought in northwest Bangladesh. Environmental Development, 29, 55–66.  https://doi.org/10.1016/j.envdev.2018.11.004.CrossRefGoogle Scholar
  5. Alam, K. (2015). Farmers’ adaptation to water scarcity in drought-prone environments: A case study of Rajshahi District, Bangladesh. Agricultural Water Management, 148, 196–206.CrossRefGoogle Scholar
  6. Alamgir, M., Shahid, S., Hazarika, M. K., Nashrrullah, S., Harun, S. B., & Shamsudin, S. (2015). Analysis of meteorological drought pattern during different climatic and cropping seasons in Bangladesh JAWRA. Journal of the American Water Resources Association, 51, 794–806.CrossRefGoogle Scholar
  7. Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56 (Vol. 300(9), p. D05109). Rome: Fao.Google Scholar
  8. Asgari, H., Mohsenipour, M., Shahid, S., Hadipour, S., Shafieifar, M., & Roushenas, P. (2014). Spatio-temporal characteristics of droughts and drought trends in Qazvin Province of Iran. Research Journal of Applied Sciences, Engineering and Technology, 8, 1299–1311.CrossRefGoogle Scholar
  9. Basak, J. K. (2011). Changing rainfall pattern effects on water requirement of T. Aman cultivation in Bangladesh. Public Journal of Environmental Science, 11, 1–8.Google Scholar
  10. Basistha, A., Goel, N., Arya, D., & Gangwar, S. (2007). Spatial pattern of trends in Indian sub-divisional rainfall. Jalvigyan Sameeksha, 22, 47–57.Google Scholar
  11. Bergman, K., Sabol, P., & Miskus, D. (1988). Experimental indices for monitoring global drought conditions. In Proceedings of 13th annual climate diagnostics workshop, Cambridge, MA, US Department of Commerce, pp 190–197.Google Scholar
  12. Cai, W., Cowan, T., Briggs, P., & Raupach, M. (2009). Rising temperature depletes soil moisture and exacerbates severe drought conditions across southeast Australia. Geophysical Research Letters, 36, L21709.  https://doi.org/10.1029/2009GL040334.CrossRefGoogle Scholar
  13. Edossa, D. C., Babel, M. S., & Gupta, A. D. (2010). Drought analysis in the Awash river basin, Ethiopia. Water Resources Management, 24, 1441–1460.CrossRefGoogle Scholar
  14. Foley, J. C. (1957). Droughts in Australia: Review of records from earliest years of settlement to 1955, Vol. 43. Director of Meteorology.Google Scholar
  15. Gebrehiwot, T., van der Veen, A., & Maathuis, B. (2011). Spatial and temporal assessment of drought in the Northern highlands of Ethiopia. International Journal of Applied Earth Observation and Geoinformation, 13, 309–321.CrossRefGoogle Scholar
  16. Gibbs, W., & Maher, J. (1967). Rainfall deciles as drought indicators, bureau of meteorology bulletin no. 48. Commonwealth of Australia, Melbourne, 29.Google Scholar
  17. Harlfinger, O., & Knees, G. (1999). Klimahandbuch der österreichischen Bodenschätzung. 1. Klimatographie: Klimareferat der Österreichischen Bodenschätzung. Wagner.Google Scholar
  18. Holsten, A., Vetter, T., Vohland, K., & Krysanova, V. (2009). Impact of climate change on soil moisture dynamics in Brandenburg with a focus on nature conservation areas. Ecological Modelling, 220, 2076–2087.CrossRefGoogle Scholar
  19. Islam, M. R., & Zaman, R. U. (2017). Response of garlic yield and storability to varying frequencies of irrigation. Agriculturae Conspectus Scientificus, 82, 7–11.Google Scholar
  20. Kabir, H., & Golder, J. (2017). Rainfall variability and its impact on crop agriculture in south-west region of Bangladesh. Journal of Climatology and Weather Forecasting, 5, 1–20.Google Scholar
  21. Kamruzzaman, M., Rahman, A. S., Ahmed, M. S., Kabir, M. E., Mazumder, Q. H., Rahman, M. S., et al. (2018). Spatio-temporal analysis of climatic variables in the western part of Bangladesh. Environment, Development and Sustainability, 20, 89–108.CrossRefGoogle Scholar
  22. Karl, T. R. (1986). The sensitivity of the Palmer Drought Severity Index and Palmer’s Z-index to their calibration coefficients including potential evapotranspiration. Journal of Climate and Applied Meteorology, 25, 77–86.CrossRefGoogle Scholar
  23. Kellomäki, S., & Väisänen, H. (1996). Model computations on the effect of rising temperature on soil moisture and water availability in forest ecosystems dominated by Scots pine in the boreal zone in Finland. Climatic Change, 32, 423–445.CrossRefGoogle Scholar
  24. Kendall, M. G. (1948). Rank correlation methods. Oxford, England: Griffin.Google Scholar
  25. Kendall, M. G. (1955). Rank correlation methods (2nd ed.). Oxford, England: Hafner Publishing Co.Google Scholar
  26. Keshta, N., Elshorbagy, A., & Carey, S. (2012). Impacts of climate change on soil moisture and evapotranspiration in reconstructed watersheds in northern Alberta, Canada. Hydrological Processes, 26, 1321–1331.CrossRefGoogle Scholar
  27. Khan, N., Shahid, S., Ahmed, K., Ismail, T., Nawaz, N., & Son, M. (2018a). Performance assessment of general circulation model in simulating daily precipitation and temperature using multiple gridded datasets. Water, 10, 1793.CrossRefGoogle Scholar
  28. Khan, N., Shahid, S., Ismail, T., Ahmed, K., & Nawaz, N. (2018b). Trends in heat wave related indices in Pakistan. Stochastic Environmental Research and Risk Assessment.  https://doi.org/10.1007/s00477-018-1605-2.Google Scholar
  29. Khan, N., Shahid, S., Ismail, T. B., & Wang, X.-J. (2018c). Spatial distribution of unidirectional trends in temperature and temperature extremes in Pakistan. Theoretical and Applied Climatology.  https://doi.org/10.1007/s00704-018-2520-7.Google Scholar
  30. Khan, N., Shahid, S., Juneng, L., Ahmed, K., Ismail, T., & Nawaz, N. (2019). Prediction of heat waves in Pakistan using quantile regression forests. Atmospheric Research, 221, 1–11.  https://doi.org/10.1016/j.atmosres.2019.01.024.CrossRefGoogle Scholar
  31. Kirkham, M. B. (2014). Principles of soil and plant water relations. Cambridge: Academic Press.Google Scholar
  32. Kogan, F. N. (1995). Droughts of the late 1980s in the United States as derived from NOAA polar-orbiting satellite data. Bulletin of the American Meteorological Society, 76, 655–668.CrossRefGoogle Scholar
  33. Kohler, M. A. (1949). On the use of double-mass analysis for testing the consistency of meteorological records and for making required adjustments. Bulletin of the American Meteorological Society, 30, 188–195.CrossRefGoogle Scholar
  34. Mann, H. (1945). Nonparametric tests against trend. Econometrica, 13(3), 245–259.  https://doi.org/10.2307/1907187.CrossRefGoogle Scholar
  35. McKee, T. B. (1995). Drought monitoring with multiple time scales. In Proceedings of 9th conference on applied climatology, Boston.Google Scholar
  36. McKee, T. B., Doesken, N. J., & Kleist, J. (1993). The relationship of drought frequency and duration to time scales. In Proceedings of the 8th conference on applied climatology, Vol. 22. American Meteorological Society Boston, MA, pp. 179–183.Google Scholar
  37. Meyer, S. J., Hubbard, K. G., & Wilhite, D. A. (1993a). A crop-specific drought index for corn: I. Model development and validation. Agronomy Journal, 85, 388–395.CrossRefGoogle Scholar
  38. Meyer, S. J., Hubbard, K. G., & Wilhite, D. A. (1993b). A crop-specific drought index for corn: II. Application in drought monitoring and assessment. Agronomy Journal, 85, 396–399.CrossRefGoogle Scholar
  39. Miah, M. G., Abdullah, H. M., & Jeong, C. (2017). Exploring standardized precipitation evapotranspiration index for drought assessment in Bangladesh. Environmental Monitoring and Assessment, 189, 547.CrossRefGoogle Scholar
  40. Mohsenipour, M., Shahid, S., Chung, E.-S., & Wang, X.-J. (2018). Changing pattern of droughts during cropping seasons of Bangladesh. Water Resources Management, 32, 1555–1568.CrossRefGoogle Scholar
  41. Mondal, M. H. (2010). Crop agriculture of Bangladesh: Challenges and opportunities Bangladesh. Journal of Agricultural Research, 35, 235–245.Google Scholar
  42. Mondol, M. A. H., Ara, I., & Das, S. C. (2017). Meteorological drought index mapping in Bangladesh using standardized precipitation index during 1981–2010. Advances in Meteorology, 2017, 17.  https://doi.org/10.1155/2017/4642060.Google Scholar
  43. Mortuza, M. R., Moges, E., Demissie, Y., & Li, H.-Y. (2018). Historical and future drought in Bangladesh using copula-based bivariate regional frequency analysis. Theoretical and Applied Climatology, 135, 1–17.Google Scholar
  44. Nury, A. H., Hasan, K., Dustegir, M., & Alam, M. J. B. (2017). Drought assessment using standardised precipitation evaporation index and its association with southern oscillation index in the Northwestern Bangladesh. International Journal of Water, 11, 132–158.CrossRefGoogle Scholar
  45. Palmer, W. C. (1965). Meteorological drought, Research paper no. 45. US Weather Bureau, Washington, DC 58.Google Scholar
  46. Palmer, W. C. (1968). Keeping track of crop moisture conditions, nationwide: The new crop moisture index. Weatherwise, 21(4), 156–161.  https://doi.org/10.1080/00431672.1968.9932814.CrossRefGoogle Scholar
  47. Panofsky, H. A., & Brier, G. W. (1958). Some applications of statistics to meteorology. Mineral Industries Extension Services, College of Mineral Industries.Google Scholar
  48. Payab, A. H., & Türker, U. (2018). Analyzing temporal–spatial characteristics of drought events in the northern part of Cyprus. Environment, Development and Sustainability, 20, 1553–1574.  https://doi.org/10.1007/s10668-017-9953-5.CrossRefGoogle Scholar
  49. Pfister, S., & Baumann, J. (2012). Monthly characterization factors for water consumption and application to temporally explicit cereals inventory. In Proceedings of the 8th international conference on life cycle assessment in the agri-food sector (LCA Food 2012), pp. 1–4.Google Scholar
  50. Pingali, P. L. (1998). Impact of rice research. Int. Rice Res. Inst.Google Scholar
  51. Pour, S. H., Shahid, S., Chung, E.-S., & Wang, X.-J. (2018). Model output statistics downscaling using support vector machine for the projection of spatial and temporal changes in rainfall of Bangladesh. Atmospheric Research, 213, 149–162.CrossRefGoogle Scholar
  52. Radziejewski, M., & Kundzewicz, Z. W. (2004). Detectability of changes in hydrological records/Possibilité de détecter les changements dans les chroniques hydrologiques. Hydrological Sciences Journal, 49, 39–51.CrossRefGoogle Scholar
  53. Rahman, M. M., Islam, M. N., Ahmed, A. U., & Georgi, F. (2012). Rainfall and temperature scenarios for Bangladesh for the middle of 21st century using RegCM. Journal of Earth System Science, 121, 287–295.CrossRefGoogle Scholar
  54. Rahman, M. A., Kang, S., Nagabhatla, N., & Macnee, R. (2017). Impacts of temperature and rainfall variation on rice productivity in major ecosystems of Bangladesh. Agriculture & Food Security, 6, 10.CrossRefGoogle Scholar
  55. Rahman, M. R., & Lateh, H. (2016). Meteorological drought in Bangladesh: Assessing, analysing and hazard mapping using SPI, GIS and monthly rainfall data. Environmental Earth Sciences, 75, 1026.CrossRefGoogle Scholar
  56. Raziei, T., Saghafian, B., Paulo, A. A., Pereira, L. S., & Bordi, I. (2009). Spatial patterns and temporal variability of drought in western Iran. Water Resources Management, 23, 439.CrossRefGoogle Scholar
  57. Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall’s tau. Journal of the American Statistical Association, 63, 1379–1389.CrossRefGoogle Scholar
  58. Shafer, B. (1982). Development of a surface water supply index (SWSI) to assess the severity of drought conditions in snowpack runoff areas. In Proceedings of the 50th annual western snow conference, Colorado State University, Fort Collins.Google Scholar
  59. Shahid, S. (2010). Rainfall variability and the trends of wet and dry periods in Bangladesh. International Journal of Climatology, 30, 2299–2313.CrossRefGoogle Scholar
  60. Shahid, S. (2011). Impact of climate change on irrigation water demand of dry season Boro rice in northwest Bangladesh. Climatic Change, 105, 433–453.CrossRefGoogle Scholar
  61. Shahid, S., & Behrawan, H. (2008). Drought risk assessment in the western part of Bangladesh. Natural Hazards, 46, 391–413.CrossRefGoogle Scholar
  62. Shahid, S., & Hazarika, M. K. (2010). Groundwater drought in the northwestern districts of Bangladesh. Water Resources Management, 24, 1989–2006.CrossRefGoogle Scholar
  63. Shahid, S., Wang, X., & Harun, S. (2014). Unidirectional trends in rainfall and temperature of Bangladesh. IAHS-AISH Proceedings and Reports Copernic GmbH, 363, 177–182.Google Scholar
  64. Shahid, S., Wang, X.-J., Harun, S. B., Shamsudin, S. B., Ismail, T., & Minhans, A. (2016). Climate variability and changes in the major cities of Bangladesh: Observations, possible impacts and adaptation. Regional Environmental Change, 16, 459–471.CrossRefGoogle Scholar
  65. Shiru, M. S., Shahid, S., Alias, N. & Chung, E.-S. (2018). Trend analysis of droughts during crop growing seasons of Nigeria. Sustainability, 10, 871.CrossRefGoogle Scholar
  66. Shiru, M. S., Shahid, S., Chung, E.-S., Alias, N. (2019). Changing characteristics of meteorological droughts in Nigeria during 1901–2010. Atmospheric Research, 223, 60–73. http://www.sciencedirect.com/science/article/pii/S0169809518316259.
  67. Sneyers, R. (1991). On the statistical analysis of series of observations (Vol. 143). Geneva, Switzerland: World Meteorological Organization, Technical Note.Google Scholar
  68. Some’e, B. S., Ezani, A., & Tabari, H. (2012). Spatiotemporal trends and change point of precipitation in Iran. Atmospheric Research, 113, 1–12.CrossRefGoogle Scholar
  69. Tsakiris, G. (2004.) Meteorological drought assessment. Paper prepared for the needs of the European Research Program MEDROPLAN Mediterranean Drought Preparedness and Mitigation Planning.Google Scholar
  70. Tsuji, G. Y., Hoogenboom, G., & Thornton, P. K. (2013). Understanding options for agricultural production (Vol. 7). Berlin: Springer.Google Scholar
  71. Van Rooy, M. (1965). A rainfall anomaly index independent of time and space. Notos, 14, 6.Google Scholar
  72. Yevjevich, V. M. (1967). Objective approach to definitions and investigations of continental hydrologic droughts. An Hydrology papers (Colorado State University); no 23.Google Scholar
  73. Yue, S., Pilon, P., & Cavadias, G. (2002). Power of the Mann–Kendall and Spearman’s rho tests for detecting monotonic trends in hydrological series. Journal of Hydrology, 259, 254–271.CrossRefGoogle Scholar
  74. Zhai, J. Q., Liu, B., Hartmann, H., Da Su, B., Jiang, T., & Fraedrich, K. (2010). Dryness/wetness variations in ten large river basins of China during the first 50 years of the 21st century. Quaternary International, 226, 101–111.CrossRefGoogle Scholar
  75. Zhu, Q., Jiang, H., & Liu, J. (2009). Effects of climate change on soil moisture over china from 1960–2006. In 2009 international conference on environmental science and information application technology. IEEE, pp. 140–143.Google Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  • Sumaiya Jarin Ahammed
    • 1
  • Rajab Homsi
    • 1
  • Najeebullah Khan
    • 1
    • 2
    Email author
  • Shamsuddin Shahid
    • 1
  • Mohammed Sanusi Shiru
    • 1
    • 3
  • Morteza Mohsenipour
    • 1
  • Kamal Ahmed
    • 1
    • 2
  • Nadeem Nawaz
    • 2
  • Nor Eliza Alias
    • 1
    • 3
    • 5
  • Ali Yuzir
    • 4
    • 5
  1. 1.Department of Water and Environmental Engineering, School of Civil EngineeringUniversiti Teknologi Malaysia (UTM)Johor BahruMalaysia
  2. 2.Faculty of Water Resource ManagementLasbela University of Agriculture, Water and Marine Sciences (LUAWMS)UthalPakistan
  3. 3.Department of Environmental Sciences, Faculty of ScienceFederal University DutseDutseNigeria
  4. 4.Centre for Environmental Sustainability and Water Security (IPASA)Universiti Tecknologi Malaysia (UTM)Johor BahruMalaysia
  5. 5.Disaster Preparedness and Prevention Center, Malaysian-Japan International Institute of Technology (MJIIT)UTM Kuala LumpurKuala LumpurMalaysia

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