Abstract
This study presents two aspects of heat waves over India. Firstly, we have analysed the gridded daily temperature data (1° × 1°) for six decades (1951–2015) to understand the changes in heat waves using the heat wave magnitude index daily (HWMId). Secondly, we have post-facto assessed the impact of the March 2010 heat wave on the growth and yield of wheat crop over north India. The study clearly showed the effectiveness of HWMId to capture the heat waves over India. The most-intense heat waves have significantly increased over 56% area of the country, and over the past three decades, it also started occurring in non-conventional heat wave regions of the southern peninsula and northeastern India. Among different categories of HWMId, the rate of spatial spread was highest for the very extreme category. The auto-regressive integrated moving average (ARIMA) intervention technique showed negative impact of the March 2010 extreme heat on yield of wheat over north India. The yield decreased by 4.9%, 4.1% and 3.5% over Punjab, Haryana and Uttar Pradesh, respectively, which were statistically significant (p < 0.1). Though the total production decreased, it was non-significant due to the slight increase in harvested area. Satellite-derived crop phenology parameters also captured the event. The rate of browning increased significantly over the study area. There were inter-district variations in the heat-wave impacts. The results may be used for identification of potential heat wave zones. It may also be used for devising zone-specific adaptation strategies for shielding wheat crop from such events.
Similar content being viewed by others
References
Alexander et al (2006) Global observed changes in daily climate extremes of temperature and precipitation. J Geophys Res Atmos 111
Asseng S, Foster I, Turner NC (2011) The impact of temperature variability on wheat yields. Glob Chang Biol 17:997–1012
Asseng S, Ewert F, Martre P, Rötter RP, Lobell DB, Cammarano D, Kimball BA, Ottman MJ, Wall GW, White JW, Reynolds MP, Alderman PD, Prasad PVV, Aggarwal PK, Anothai J, Basso B, Biernath C, Challinor AJ, de Sanctis G, Doltra J, Fereres E, Garcia-Vila M, Gayler S, Hoogenboom G, Hunt LA, Izaurralde RC, Jabloun M, Jones CD, Kersebaum KC, Koehler AK, Müller C, Naresh Kumar S, Nendel C, O’Leary G, Olesen JE, Palosuo T, Priesack E, Eyshi Rezaei E, Ruane AC, Semenov MA, Shcherbak I, Stöckle C, Stratonovitch P, Streck T, Supit I, Tao F, Thorburn PJ, Waha K, Wang E, Wallach D, Wolf J, Zhao Z, Zhu Y (2014) Rising temperatures reduce global wheat production. Nat Clim Chang 5:143–147. https://doi.org/10.1038/nclimate2470
Azhar GS, Mavalankar D, Nori-Sarma A, Rajiva A, Dutta P, Jaiswal A, Sheffield P, Knowlton K, Hess JJ, on behalf of the Ahmedabad HeatClimate Study Group (2014) Heat-related mortality in India: excess all-cause mortality associated with the 2010 Ahmedabad heat wave. PLoS One 9:e91831
Box GE, Tiao GC (1975) Intervention analysis with applications to economic and environmental problems. J Am Stat Assoc 70:70–79
Box G, Jenkins G, Reinsel G (1994) Time series analysis, forecasting and control, volume 3rd edition
Ceccherini G, Russo S, Ameztoy I, Marchese AF, Carmona-Moreno C (2017) Heat waves in Africa 1981-2015, observations and reanalysis. Nat Hazard Earth Syst 17:115–125. https://doi.org/10.5194/nhess-17-115-2017
Chakraborty D, Sehgal VK, Dhakar R, Das DK, Sahoo RN (2017) Trends and change-point in satellite derived phenology parameters in major wheat growing regions of North India during the last three decades. J Ind Soc Remote Sens 46:1–10. https://doi.org/10.1007/s12524-017-0684-8
Coumou D, Rahmstorf S (2012) A decade of weather extremes. Nat Clim Chang 2:491–496
Coumou D, Robinson A, Rahmstorf S (2013) Global increase in record-breaking monthly-mean temperatures. Clim Chang 118:771–782
Dash S, Mamgain A (2011) Changes in the frequency of different categories of temperature extremes in India. J Appl Meteorol Clim 50:1842–1858
Chakraborty D, Sehgal VK, Dhakar R, Varghese E, Das DK, Ray M, (2018) Changes in daily maximum temperature extremes across India over 1951–2014 and their relation with cereal crop productivity. Stochastic Environmental Research and Risk Assessment 32 (11):3067–3081
Duncan JM, Dash J, Atkinson PM (2015) Elucidating the impact of temperature variability and extremes on cereal croplands through remote sensing. Glob Chang Biol 21:1541–1551. https://doi.org/10.1111/gcb.12660
FAO, Food and Agriculture Organisation (2014) URL: http://faostat3.fao.org/
Fontana G, Toreti A, Ceglar A, De Sanctis G (2015) Early heat waves over Italy and their impacts on durum wheat yields. Nat Hazard Earth Syst 15:1631–1637. https://doi.org/10.5194/nhess-15-1631-2015
GLC 2000. Global Land Cover 2000, Joint Research Centre, The European Commission's science and knowledge service. https://forobs.jrc.ec.europa.eu/products/glc2000/glc2000.php Accessed 6 Jul 2019.
Gupta R, Gopal R, Jat M, Jat RK, Sidhu H, Minhas P, Malik R (2010) Wheat productivity in indo-gangetic plains of India during 2010: terminal heat effects and mitigation strategies
Gupta R, Somanathan E, Dey S (2016) Global warming and local air pollution have reduced wheat yields in India. Clim Chang 140:593–604. https://doi.org/10.1007/s10584-016-1878-8
Jiang L, Tarpley JD, Mitchell KE, Zhou S, Kogan FN, Guo W (2008) Adjusting for long-term anomalous trends in NOAA’s global vegetation index data sets. IEEE Trans Geosci Remote Sens 46:409–422
Jonsson P, Eklundh L (2002) Seasonality extraction by function fitting to time-series of satellite sensor data. IEEE Trans Geosci Remote Sens 40:1824–1832
Jonsson P, Eklundh L (2003) Seasonality extraction from time-series of satellite sensor data. In: Frontiers of remote sensing information processing, pp 487–500
Jonsson P, Eklundh L (2004) TIMESAT—a program for analyzing time-series of satellite sensor data. Comput Geosci 30:833–845
Klein Tank A, Können G (2003) Trends in indices of daily temperature and precipitation extremes in Europe, 1946–99. J Clim 16:3665–3680
Klein Tank A et al (2006) Changes in daily temperature and precipitation extremes in central and South Asia. J Geophys Res Atmos 111(D16)
Klein Tank AMG, Zwiers FW, Zhang X (2009) Guidelines on ‘Analysis of extremes in a changing climate in support of informed decisions for adaptation’. WMO TD1500, p 54
Kothawale D, Revadekar J, Kumar KR (2010) Recent trends in pre-monsoon daily temperature extremes over India. J Earth Syst Sci 119:51–65
Lesk C, Rowhani P, Ramankutty N (2016) Influence of extreme weather disasters on global crop production. Nature 529:84–87
Liu B, Asseng S, Müller C, Ewert F, Elliott J, Lobell DB, Martre P, Ruane AC, Wallach D, Jones JW, Rosenzweig C, Aggarwal PK, Alderman PD, Anothai J, Basso B, Biernath C, Cammarano D, Challinor A, Deryng D, Sanctis GD, Doltra J, Fereres E, Folberth C, Garcia-Vila M, Gayler S, Hoogenboom G, Hunt LA, Izaurralde RC, Jabloun M, Jones CD, Kersebaum KC, Kimball BA, Koehler AK, Kumar SN, Nendel C, O’Leary GJ, Olesen JE, Ottman MJ, Palosuo T, Prasad PVV, Priesack E, Pugh TAM, Reynolds M, Rezaei EE, Rötter RP, Schmid E, Semenov MA, Shcherbak I, Stehfest E, Stöckle CO, Stratonovitch P, Streck T, Supit I, Tao F, Thorburn P, Waha K, Wall GW, Wang E, White JW, Wolf J, Zhao Z, Zhu Y (2016) Similar estimates of temperature impacts on global wheat yield by three independent methods. Nature Clim Change 6:1130–1136. https://doi.org/10.1038/nclimate3115
Liu B, Asseng S, Wang A, Wang S, Tang L, Cao W, Zhu Y, Liu L (2017) Modelling the effects of post-heading heat stress on biomass growth of winter wheat. Agric For Meteorol 247:476–490
Lobell DB, Sibley A, Ivan Ortiz-Monasterio J (2012) Extreme heat effects on wheat senescence in India. Nature Clim Change 2:186–189. https://doi.org/10.1038/nclimate1356
Lüttger AB, Feike T (2017) Development of heat and drought related extreme weather events and their effect on winter wheat yields in Germany. Theor Appl Climatol 132:1–15. https://doi.org/10.1007/s00704-017-2076-y
Madsen H (2007) Time series analysis. CRC Press
Manual for Drought Management, December 2016, Department of Agriculture, Cooperation & Farmers Welfare, Ministry of Agriculture & Farmers Welfare,Government of India, New Delhi
Mazdiyasni O, Agha Kouchak A, Davis SJ, Madadgar S, Mehran A, Ragno E, Sadegh M, Sengupta A, Ghosh S, Dhanya CT, Niknejad M (2017) Increasing probability of mortality during Indian heat waves. Sci Adv 3(6):e1700066
Monfreda C, Ramankutty N, Foley JA (2008) Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000. Glob Biogeochem Cycles 22(1)
Nairn J, Fawcett R (2011) Defining heatwaves: heatwave defined as a heat-impact event servicing all. Europe 220:224
NDMA (2016) Guidelines for preparation of action plan-prevention and management of heat wave. National Disaster Management Authority, Government of India
Pai D, Nair SA, Ramanathan A (2013) Long term climatology and trends of heat waves over India during the recent 50 years (1961–2010). Mausam 64:585–604
Panda DK, Mishra A, Kumar A, Mandal KG, Thakur AK, Srivastava RC (2014) Spatiotemporal patterns in the mean and extreme temperature indices of India, 1971-2005. Int J Climatol 34:3585–3603. https://doi.org/10.1002/joc.3931
Parry ML (2007) Climate change 2007-impacts, adaptation and vulnerability: working group II contribution to the fourth assessment report of the IPCC vol 4. Cambridge University Press
Partal T, Kahya E (2006) Trend analysis in Turkish precipitation data. Hydrol Process 20:2011–2026
Pettitt A (1979) A non-parametric approach to the change-point problem. Appl Stat 28:126–135
Potgieter A, Meinke H, Doherty A, Sadras VO, Hammer G, Crimp S, Rodriguez D (2012) Spatial impact of projected changes in rainfall and temperature on wheat yields in Australia. Clim Chang 117:163–179. https://doi.org/10.1007/s10584-012-0543-0
R Core Team (2016) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/
R Studio Team (2015) RStudio: Integrated development for R. RStudio, Inc., Boston, MA. URL http://www.rstudio.com/
Radinović D, Ćurić M (2012) Criteria for heat and cold wave duration indexes. Theor Appl Climatol 107(3–4):505–510
Rao G, Murty M, Joshi U, Thapliyal V (2005) Climate change over India as revealed by critical extreme temperature analysis. Mausam 56:601
Rao BB, Chowdary PS, Sandeep VM, Pramod VP, Rao VUM (2015) Spatial analysis of the sensitivity of wheat yields to temperature in India. Agric For Meteorol 200:192–202
Ratnam JV, Behera SK, Ratna SB, Rajeevan M, Yamagata T (2016) Anatomy of Indian heatwaves. Sci Rep 6:24395. https://doi.org/10.1038/srep24395
Ray M, Ramasubramanian V, Kumar A, Rai A (2014) Application of time series intervention modelling for modelling and forecasting cotton yield. Stat Appl 12:61–70
Ray M, Rai A, Singh K, Ramasubramanian V, Kumar A (2017) Technology forecasting using time series intervention based trend impact analysis for wheat yield scenario in India. Technol Forecast Soc Chang 118:128–133
Rohini P, Rajeevan M, Srivastava AK (2016) On the variability and increasing trends of heat waves over India. Sci Rep 6:26153. https://doi.org/10.1038/srep26153
Russo S, Sillmann J, Fischer EM (2015) Top ten European heatwaves since 1950 and their occurrence in the coming decades. Environ Res Lett 10(12):124003
Sehgal VK, Jain S, Aggarwal PK, Jha S (2011) Deriving crop phenology metrics and their trends using times series NOAAAVHRRNDVI data. J Ind Soc Remote Sens 39(3):373–381. https://doi.org/10.1007/s12524-011-0125-z
Sen Roy S (2009) A spatial analysis of extreme hourly precipitation patterns in India. Int J Climatol 29(3):345–355
Seneviratne SI, Donat MG, Mueller B, Alexander LV (2014) No pause in the increase of hot temperature extremes. Nat Clim Chang 4:161–163
Shao YE (1997) Multiple intervention analysis with application to sales promotion data. J Appl Stat 24:181–192
Srivastava A, Rajeevan M, Kshirsagar S (2009) Development of a high resolution daily gridded temperature data set (1969–2005) for the Indian region. Atmos Sci Lett 10:249–254
Stocker T (2014) Climate change 2013: the physical science basis: working group I contribution to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press
Tao H, Fraedrich K, Menz C, Zhai J (2014) Trends in extreme temperature indices in the Poyang Lake Basin, China. Stoch Environ Res Risk Assess 28(6):1543–1553
Tashiro T, Wardlaw IF (1989) A comparison of the effect of high temperature on grain development in wheat and rice. Ann Bot 64:59–65
Trenberth KE, Fasullo JT (2012) Climate extremes and climate change: the Russian heat wave and other climate extremes of 2010. J Geophys Res Atmos 117
van der Velde M, Tubiello FN, Vrieling A, Bouraoui F (2011) Impacts of extreme weather on wheat and maize in France: evaluating regional crop simulations against observed data. Clim Chang 113:751–765. https://doi.org/10.1007/s10584-011-0368-2
Yang X, Tian Z, Sun L, Chen B, Tubiello FN, Xu Y (2017) The impacts of increased heat stress events on wheat yield under climate change in China. Clim Chang 140:605–620
Acknowledgements
This study is part of the PhD research work of the first author, who acknowledges the fellowship provided by the Council for Scientific and Industrial Research (CSIR) and study leave granted by his employer, ICAR Research Complex for NEH Region, Umiam, Meghalaya. India Meteorological Department (IMD) is duly acknowledged for supplying the gridded daily temperature dataset. Authors also thank Mr. Aakash Chhabra for helping in preparation of the state-wise agricultural area map of India. Authors would also like to acknowledge the anonymous reviewers and the editor for their constructive suggestions for improving the manuscript.
Funding
This study received financial support from IARI in-house project grant IARI:NRM:14:(04) and ICAR–National Innovations in Climate Resilient Agriculture (NICRA) project.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
ESM 1
(PDF 153 kb)
Rights and permissions
About this article
Cite this article
Chakraborty, D., Sehgal, V.K., Dhakar, R. et al. Spatio-temporal trend in heat waves over India and its impact assessment on wheat crop. Theor Appl Climatol 138, 1925–1937 (2019). https://doi.org/10.1007/s00704-019-02939-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00704-019-02939-0