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Spatial and temporal pattern of deficient Indian summer monsoon rainfall (ISMR): impact on Kharif (summer monsoon) food grain production in India

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Abstract

Despite a significant increasing trend in historical food grain production (FGP) in India, deficient Indian summer monsoon rainfall (ISMR) often causes a reduction in FGP. The present study was carried out to understand temporal and spatial variations in deficient rainfall (drought) and their impact on national and regional FGP of India. Long-term (1901–2020) percentage departure in rainfall and drought areas over the country showed nonsignificant and significant trends, respectively. Subdivisional rainfall showed significant decreasing and increasing trends in 4 and 5 subdivisions, respectively. Drought years of high frequency (once in 3–4 years) and 4 to 5 consecutive drought years (once in 120 years) occurred in northwest and western subdivisions of India. Departure in de-trended production of All India Kharif food grains from its normal (DDP) showed significant quadratic relationship with departure in ISMR from its normal (DRF). Besides the quadratic equation, another multiple regression model taking de-trended crop area, DRF, and drought area as predictor variables was developed for predicting DDP. Both these models, with high R2 (0.8–0.88) between observed and predicted data and low RMSE (2.6–2.7%), can be employed for advanced estimation of DDP of the country and for taking country-level policy decisions by the Indian Government. For the first time, models were formulated to estimate state-wise departure in FGP (DP). In these models, novel indices viz., (i) rainfall departure and irrigation index (RDII) and (ii) physical and socio-economic index (PSEI), were used as predictor variables. These models, with R2 (0.71–0.75) and RMSE of 11.8–14.2(< SD of observed data), hold promise for advance estimation of production loss in states, useful for regional-level planning by the Government of India, and testing them in other countries.

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Data Availability

Area, production and productivity data of crops was collected from the official website of Directorate of Economics and statistics, Department of Agriculture and Farmers welfare, Government of India which is accessible freely from the public website https://eands.dacnet.in.

Time series rainfall at subdivisional and national level is available from the website of Indian Institute of Tropical Meteorology (http://www.tropmet.res.in/Data.html).

References

  • Almeida CT, Oliveira-Junior JF, Delgado RC, Cubo P, Ramos MC (2016) Spatiotemporal rainfall and temperature trends throughout the Brazilian Legal Amazon, 1973–2013. Int J Climatol. https://doi.org/10.1002/joc.4831

    Article  Google Scholar 

  • Ansarifar J, Wang L, Archontoulis SV (2021) An interaction regression model for crop yield prediction. Sci Rep 11:17754. https://doi.org/10.1038/s41598-021-97221-7

    Article  CAS  Google Scholar 

  • Bannayan M, Lotfabadi SS, Sanjani S, Mohamadian A, Aghaalikhani M (2011) Effects of precipitation and temperature on crop production variability in northeast Iran. Int J Biometeorol 55:387–401. https://doi.org/10.1007/s00484-010-0348-7

    Article  Google Scholar 

  • Bushra P, Talukdar S, Shahfahad MS, Mondal J, Sharma P, Islam ART, Rahman A (2020) Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches. Sci Rep 10:10342. https://doi.org/10.1038/s41598-020-67228-7

    Article  CAS  Google Scholar 

  • Directorate of Economics and Statistics (2014) Agricultural statistics at a glance. Directorate of Economics and Statistics, Department of Agriculture and Cooperation, Ministry of Agriculture, Government of India, New Delhi, 482 pp

  • Gadgil S, Rupa Kumar K (2006) The Asian monsoon-agriculture and economy. In: Wang B (ed.) The Asian Monsoon, Springer Praxis 5:651–683

  • Guhathakurta P, Rajeevan M (2008) Trends in the rainfall pattern over India. Int J Climatol 28:1453–1469

    Article  Google Scholar 

  • Jha S, Sehgal VK, Raghava R (2016) Risk assessment of extreme Indian summer monsoon precipitation on agro-ecosystem of northern and central-east India. Mausam 67:143–154

    Article  Google Scholar 

  • Kazemzadeh M, Hashemi H, Jamali S, Uvo CB, Berndtsson R, Huffman GJ (2021) Linear and nonlinear trend analyses in global satellite-based precipitation, 1998–2017. Earth’s Future 9:e2020EF001835. https://doi.org/10.1029/2020EF001835

    Article  Google Scholar 

  • Kim W, Iizumi T, Nishimori M (2019) Global patterns of crop production losses associated with droughts from1983 to 2009. Appl Meteorol Climatol 58:1233–1244

    Article  Google Scholar 

  • Kishore A, Joshi PK, Pandey D (2014) Droughts, distress, and policies for drought proofing agriculture in Bihar, India. International Food Policy Research Institute (IFPRI) Discussion Paper 01398, IFPRI, Washington, D.C. http://ebrary.ifpri.org/cdm/ref/collection/p15738coll2/id/128868

  • Krishna Kumar K, Rupa Kumar K, Ashrit RG, Deshpande NR, Hansen JW (2004) Climate impacts on Indian agriculture. Int J Climatol 24:1375–1393

    Article  Google Scholar 

  • Kumar V, Jain SK, Singh Y (2010) Analysis of long-term rainfall trends in India. Hydrol Sci J 55:484–496

    Article  Google Scholar 

  • Mallya G, Mishra V, Niyogi D, Tripathi S, Govindaraju RS (2016) Trends and variability of droughts over the Indian monsoon region. Weather Clim Extremes 12:43–68

    Article  Google Scholar 

  • Mishra P, Sahu PK, Padmanabhan K, Vishwajit KP, Dhekale BS (2015) Study of instability and forecasting of food grain production in India. Int J Agric Sci 7:474–481

    CAS  Google Scholar 

  • Niyogi D, Kishtawal C, Tripathi S, Govindaraju RS (2010) Observational evidence that agricultural intensification and land use change may be reducing the Indian summer monsoon rainfall. Water Resour Res 46:W03533. https://doi.org/10.1029/2008WR007082

    Article  Google Scholar 

  • Oza M, Kishtawal CM (2014) Spatial analysis of Indian summer monsoon rainfall. J Geomat 8(1):40–47

    Google Scholar 

  • Paltasingh KR, Goyari P (2018) Statistical modeling to crop-weather relationship in India: a survey on evolutionary trend of methodologies. Asian J Agric Dev 15(1):43–60

    Google Scholar 

  • Pandey RP, Ramasastri KS (2001) Relationship between the common climatic parameters and average drought frequency. Hydrol Process 15(6):1019–1032

    Article  Google Scholar 

  • Parida BR, Oinam B (2015) Unprecedented drought in north east India compared to western India. Curr Sci 109(11):2121–2126

    Article  Google Scholar 

  • Parthasarathy B, Munot AA, Kothawale DR (1988) Regression model for estimation of Indian food grain production from summer monsoon rainfall. Agric for Meteorol 42:167–182

    Article  Google Scholar 

  • Parthasarathy B, Rupa Kumar K, Munot AA (1991) Evidence of secular variations in Indian monsoon rainfall-circulation relationships. J Clim 4:927–938

    Article  Google Scholar 

  • Parthasarathy B, Rupa Kumar K, Munot AA (1992) Forecast of rainy season food grain production based on monsoon rainfall. Indian J Agric Sci 62:1–8

    Google Scholar 

  • Parthasarathy B, Munot AA, Kothawale DR (1994) All India monthly and seasonal rainfall series:1871–1993. Theor Appl Climatol 49:217–224

    Article  Google Scholar 

  • Parthasarathy B, Munot AA, Kothawale DR (1995) Monthly and seasonal rainfall series for all-India homogeneous regions and meteorological subdivisions: 1871–1994. Research Report No. RR-065, Indian Institute of Tropical Meteorology, Pune, India, 113 pp

  • Pascoa P, Gouveia CM, Russo A, Trigo RM (2017) The role of drought on wheat yield interannual variability in the Iberian Peninsula from 1929 to 2012. Int J Biometeorol 61:439–451

    Article  CAS  Google Scholar 

  • Prasanna V (2014) Impact of monsoon rainfall on the total food grain yield over India. J Earth Syst Sci 123:1129–1145

    Article  Google Scholar 

  • Prasanna V, Annamalai H (2012) Moist dynamics of extended monsoon breaks over south Asia. J Clim 25:3810–3831

    Article  Google Scholar 

  • Preethi B, Revadekar JV (2012) Kharif food grain yield and daily summer monsoon precipitation over India. Int J Climatol 33:1978–1986

    Article  Google Scholar 

  • Rajeevan M, Bhate J, Kale JD, Lal B (2005) Development of a high resolution daily gridded rainfall data for the Indian region. IMD Met Monogr No: Climatol 22:27

    Google Scholar 

  • Rajeevan M, Bhate J, Kale JD, Lal B (2006) High resolution daily gridded rainfall data for the Indian region: analysis of break and active monsoon spells. Curr Sci 91:296–306

    Google Scholar 

  • Rajeevan M, Bhate J, Jaswal AK (2008) Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data. Geophys Res Lett 35:L18707. https://doi.org/10.1029/2008GL035143

    Article  Google Scholar 

  • Ramakrishna YS, Singh HP, Nageswara Rao G (2003) Weather based indices for forecasting food grain production in India. J Agrometeorol 5(1):1–11

    Article  Google Scholar 

  • RBI (2015) Monsoon and Indian agriculture-conjoined or decoupled? Prepared in the Development Studies Division, Department of Economic and Policy Research, Reserve Bank of India, Mumbai. RBI Bulletin May 2015:29–44

  • Revadekar JV, Preethi B (2012) Statistical analysis of the relationship between summer monsoon precipitation extremes and food grain yield over India. Int J Climatol 32:419–429

    Article  Google Scholar 

  • Roxy MK, Ritika K, Terray P, Murtugudde R, Ashok K, Goswami BN (2015) Drying of Indian subcontinent by rapid Indian Ocean warming and a weakening land-sea thermal gradient. Nat Commun 6:7423. https://doi.org/10.1038/ncomms8423

    Article  Google Scholar 

  • Rupa Kumar K, Pant GB, Parthasarathy B, Sontakke NA (1992) Spatial and sub-seasonal patterns of the long-term trends of Indian summer monsoon rainfall. Int J Climatol 12:257–268

    Article  Google Scholar 

  • Shah T, Hassan MU, Khattak MZ, Banerjee PS, Singh OP, Rehman SU (2009) Is irrigation water free? A reality check in the Indo-Gangetic Basin. World Dev 37(2):422–434

    Article  Google Scholar 

  • Shewale MP, Kumar S (2005) Climatological features of drought incidences in India. Meteorological Monograph, Climatology No. 21/2005, India Meteorological Department, Pune, India, 22 pp

  • Singh G (2007) Growth of Indian agriculture: a district level study. Department of Economics, Punjab University, Chandigarh, p 116

    Google Scholar 

  • Sinha Ray KC, Shewale MP (2001) Probability of occurrence of drought in various subdivisions of India. Mausam 52:541–546

    Article  Google Scholar 

  • Srivastava HN, Dewan BN, Dikshit SK, Rao PGS, Singh SS, Rao KR (1992) Decadal trends in climate over India. Mausam 43:7–20

    Article  Google Scholar 

  • Tian F, Bingfang W, Zeng H, Watmough GR, Zhang M, Li Y (2022) Detecting the linkage between arable land use and poverty using machine learning methods at global perspective. Geogr Sustain. https://doi.org/10.1016/j.geosus.2022.01.001

    Article  Google Scholar 

  • WMO (2017) WMO Guidelines on the calculation of climate normals, 2017 edn. WMO-No.1203, World Meteorological Organization, Geneva, Switzerland

  • Zachariah M, Mondal A, Das M, Mirle K, Rao A, Ghosh S (2020) On the role of rainfall deficits and cropping choices in loss of agricultural yield in Marathwada. India Environ Res Lett 15(9):094029

    Article  Google Scholar 

Download references

Acknowledgements

Authors acknowledge with gratitude the officials of the Indian Council of Agriculture Research for their encouragement and support in undertaking the research work. We thank Dr. V. M. Sandeep for his help in preparing color figures in GIS.

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Correspondence to P. Vijaya Kumar.

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Kumar, P.V., Bhavani, O. & Bhaskar, S. Spatial and temporal pattern of deficient Indian summer monsoon rainfall (ISMR): impact on Kharif (summer monsoon) food grain production in India. Int J Biometeorol 67, 485–501 (2023). https://doi.org/10.1007/s00484-023-02428-0

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