Climatic trends and its impact on rice production in different agroclimatic zones of West Bengal, India
DOI:
https://doi.org/10.54386/jam.v27i4.3153Keywords:
Climatic factors, Rice, Trend Analysis, Agro-climatic zones, Change pointAbstract
Changing climate has become one of the major perils for agriculture throughout the world. Rice is one of the most important food grains in India. In this study, the effect of climatic factors on rice production of different agroclimatic zones and districts of West Bengal, India, has been assessed for the period of 1996-2019. Mann-Kendall test was used to figure out trend, Sen’s slope estimator to figure out the degree of change, Pettitt’s test to detect change point in the data, and finally, multiple linear regression to understand the relationship between climatic factors and rice yield. The results reveal that, in general, the rainfall is decreasing. Area is decreasing, and yield is increasing significantly in most cases. Production is increasing, but not significantly everywhere. In West Bengal and specifically in the Vindhyan Alluvial Zone, climatic factors have a significant impact on yield. Bankura is the only district in West Bengal without a significant increase in yield due to a lack of irrigation facilities and other non-environmental factors.
References
Aucahuasi-Almidon, A., Cabrera-Carranza, C., andGarate-Quispe, J. (2024). Trend analysis and change-point detection of temperature and rainfall in southern Peruvian Amazonand its relation to deforestation. J. Agrometeorol., 26(4): 425–430. https://doi.org/10.54386/jam.v26i4.2687
Conte, L. C., Bayer, D. M., and Bayer, F. M. (2019). Bootstrap Pettitt test for detecting change points in hydroclimatological data: Case study of Itaipu Hydroelectric Plant, Brazil. Hydrol. Sci. J., 64(11): 1312–1326. https://doi.org/10.1080/02626667.2019.1632461
De, U. (1999). Nature and Causes of Inter-District Variations in Yield of Rice in West Bengal, 1970-71 to 1994-95. Indian J. Agric. Econ., 54(4): 554–565.
Kumar, J. A., M. Muralidhar, M. Jayanthi, and M. Kumaran. (2013). Trend analysis of weather data in shrimp farming areas of Nagapattinam district of Tamil Nadu. J. Agrometeorol., 15(2): 129–134. https://doi.org/10.54386/jam.v15i2.1459
Ladha, J. K., Dawe, D., Pathak, H., Padre, A. T., Yadav, R. L., Singh, B., Singh, Y., Singh, Y., Singh, P., Kundu, A. L., Sakal, R., Ram, N., Regmi, A. P., Gami, S. K., Bhandari, A. L., Amin, R., Yadav, C. R., Bhattarai, E. M., Das, S., … Hobbs, P. R. (2003). How extensive are yield declines in long-term rice–wheat experiments in Asia? Field Crops Res., 81(2–3): 159–180. https://doi.org/10.1016/S0378-4290(02)00219-8
Mandal, S., Choudhury, B. U., Mondal, M., and Bej, S. (2013). Trend analysis of weather variables in Sagar Island, West Bengal, India: A long-term perspective (1982–2010). Curr. Sci., 105(7): 947–953.
Mann, H. B. (1945). Nonparametric Tests Against Trend. Econometrica, 13(3): 245. https://doi.org/10.2307/1907187
GOI. (2025). Ministry of Finance, Economic Survey 2024-25.
MoAFW. (2023, March 21). Impact of Climate Change on Agriculture. https://www.pib.gov.in/www.pib.gov.in/Pressreleaseshare.aspx?PRID=1909206
Nandi, S., and Patel, P. (2024). iamsaswata/imdlib: Version: 0.1.20 (Version 0.1.20) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.4405232
Pettitt, A. N. (1979). A Non-Parametric Approach to the Change-Point Problem. Appl. Stat., 28(2): 126. https://doi.org/10.2307/2346729
Pohlert, T. (2015). trend: Non-Parametric Trend Tests and Change-Point Detection (p. 1.1.6) [Dataset]. https://doi.org/10.32614/CRAN.package.trend
Sen, P. K. (1968). Estimates of the Regression Coefficient Based on Kendall’s Tau. J. Am. Stat. Assoc., 63(324): 1379–1389. https://doi.org/10.1080/01621459.1968.10480934
Swami, P. (2024). Trend analysis and change-point detection of monsoon rainfall in Uttarakhand and its impact on vegetation productivity. J. Agrometeorol., 26(1): 103–108. https://doi.org/10.54386/jam.v26i1.2214
Vijai, C., Wisetsri, W., andElayaraja, M. (2023). Climate change and its impact on agriculture. Int. J. Agric. Sci. Vet. Med., 11(4): 1–8. https://doi.org/10.25303/1104ijasvm0108
Yadav, R., S. K. Tripathi, G. Pranuthi, and S. K. Dubey. (2014). Trend analysis by Mann-Kendall test for precipitation and temperature for thirteen districts of Uttarakhand. J. Agrometeorol., 16(2): 164–171. https://doi.org/10.54386/jam.v16i2.1507
Yuan, X., Li, S., Chen, J., Yu, H., Yang, T., Wang, C., Huang, S., Chen, H., andAo, X. (2024). Impacts of Global Climate Change on Agricultural Production: A Comprehensive Review. Agron., 14(7): 1360. https://doi.org/10.3390/agronomy14071360
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