Skip to main content

Advertisement

Log in

Global warming and local air pollution have reduced wheat yields in India

  • Published:
Climatic Change Aims and scope Submit manuscript

Abstract

We use regression analysis on data from 208 districts over the period 1981–2009 to examine the impact of temperature and solar radiation (affected by pollution from aerosols) on wheat yields in India. We find that a 1 °C increase in average daily maximum and minimum temperatures tends to lower yields by 2–4% each. A 1% increase in solar radiation increases yields by nearly 1%. Yields are estimated to be about 5.2% lower than they would have been if temperatures had not increased during the study period. We combine the estimated impacts of weather on yield with the estimated impacts of aerosol pollution (measured by moderate resolution imaging spectroradiometer sensor in terms of aerosol optical depth, aerosol optical depth (AOD) in 2001–2013) on weather to compute the net impact of reducing aerosol pollution on wheat yields. A one-standard-deviation decrease in AOD is estimated to increase yields by about 4.8%. Our results imply reducing regional pollution and curbing global warming in the coming decades can counter wheat yield losses.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. These are the weighted averages of the increases in all sample districts where the weights are proportional to wheat production in 2009.

  2. To be precise, rather than using observed temperatures in 1981 and 2009, we use predicted temperatures for those years from district-specific regressions of maximum and minimum temperature on year. This is done in order to avoid any noise introduced by the possibility that the years 1981 and 2009 were unusually hot or cold.

References

  • Burney J, Ramanathan V (2014) Recent climate and air pollution impacts on Indian agriculture. Proc Natl Acad Sci U S A 111(46):16319–16324

    Article  Google Scholar 

  • Chameides W, Yu H, Liu S, Bergin M, Zhou X, Mearns L, Wang G, Kiang C, Saylor R, Luo C et al (1999) Case study of the effects of atmospheric aerosols and regional haze on agriculture: an opportunity to enhance crop yields in China through emission controls? Proc Natl Acad Sci U S A 96(24):13626–13633

    Article  Google Scholar 

  • Conley TG (2008) Spatial econometrics. In: Durlauf SN, Blume LE (eds) The new palgrave dictionary of economics. Palgrave Macmillan, Basingstoke

    Google Scholar 

  • Driscoll JC, Kraay AC (1998) Consistent covariance matrix estimation with spatially dependent panel data. Rev Econ Stat 80(4):549–560

    Article  Google Scholar 

  • FAO (n.d.a). FAO, Food and Agriculture Organisation. URL: http://faostat3.fao.org/browse/Q/QC/E

  • FAO (n.d.b). FAO, Food and Agriculture Organisation. URL: http://faostat3.fao.org/download/P/PP/E

  • Hoechle D (2007) Robust standard errors for panel regressions with cross-sectional dependence. Stata J 7(3):281

    Google Scholar 

  • Hsiang SM (2010) Temperatures and cyclones strongly associated with economic production in the Caribbean and Central America. Proc Natl Acad Sci U S A 107(35):15367–15372

    Article  Google Scholar 

  • Huang Y, Dickinson RE, Chameides WL (2006) Impact of aerosol indirect effect on surface temperature over East Asia. Proc Natl Acad Sci U S A 103(12):4371–4376

    Article  Google Scholar 

  • Lobell DB, Schlenker W, Costa-Roberts J (2011) Climate trends and global crop production since 1980. Science 333(6042):616–620

    Article  Google Scholar 

  • Ocean, N. and Administration, A. (n.d.). NOAA. URL: http://www.esrl.noaa.gov/gmd/grad/surfrad/aod/

  • Padma Kumari, B., Londhe, A., Daniel, S. and Jadhav, D. (2007). Observational evidence of solar dimming: offsetting surface warming over India, Geophysical Research Letters 34(21)

  • Rathore, L., Attri, S. and Jaswal, A (2013) State level climate change trends in India, Technical Report ESSO/IMD/EMRC/02/2013, Indian Meteorological De- partment

  • Ruosteenoja, K. and Ra¨isa¨nen, J (2009) Solar radiation projections derived from global climate models (part of ces deliverable d2. 4)

  • Sanap S, Ayantika D, Pandithurai G, Niranjan K (2014) Assessment of the aerosol distribution over Indian subcontinent in CMIP5 models. Atmos Environ 87:123–137

    Article  Google Scholar 

  • Schlenker W, Roberts MJ (2009) Nonlinear temperature effects indicate severe damages to US crop yields under climate change. Proc Natl Acad Sci U S A 106(37):15594–15598

    Article  Google Scholar 

  • Wardlaw I, Moncur L (1995) The response of wheat to high temperature following anthesis. I. The rate and duration of kernel filling. Funct Plant Biol 22(3):391–397

    Google Scholar 

  • Welch JR, Vincent JR, Auffhammer M, Moya PF, Dobermann A, Dawe D (2010) Rice yields in tropical/subtropical Asia exhibit large but opposing sensitivities to minimum and maximum temperatures. Proc Natl Acad Sci U S A 107(33):14562–14567

    Article  Google Scholar 

Download references

Acknowledgments

Sagnik Dey acknowledges funding from the Department of Science and Technology, Govt. of India (DST/CCP/PR/11/2011) through a research project operational at IIT Delhi (IITD/IRD/RP2580).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ridhima Gupta.

Electronic supplementary material

Below is the link to the electronic supplementary material.

ESM 1

(PDF 139 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gupta, R., Somanathan, E. & Dey, S. Global warming and local air pollution have reduced wheat yields in India. Climatic Change 140, 593–604 (2017). https://doi.org/10.1007/s10584-016-1878-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10584-016-1878-8

Keywords

Navigation