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Stronger temperature–moisture couplings exacerbate the impact of climate warming on global crop yields


Rising air temperatures are a leading risk to global crop production. Recent research has emphasized the critical role of moisture availability in regulating crop responses to heat and the importance of temperature–moisture couplings in driving concurrent heat and drought. Here, we demonstrate that the heat sensitivity of key global crops depends on the local strength of couplings between temperature and moisture in the climate system. Over 1970–2013, maize and soy yields dropped more during hotter growing seasons in places where decreased precipitation and evapotranspiration more strongly accompanied higher temperatures, suggestive of compound heat–drought impacts on crops. On the basis of this historical pattern and a suite of climate model projections, we show that changes in temperature–moisture couplings in response to warming could enhance the heat sensitivity of these crops as temperatures rise, worsening the impact of warming by −5% (−17 to 11% across climate models) on global average. However, these changes will benefit crops where couplings weaken, including much of Asia, and projected impacts are highly uncertain in some regions. Our results demonstrate that climate change will impact crops not only through warming but also through changing drivers of compound heat–moisture stresses, which may alter the sensitivity of crop yields to heat as warming proceeds. Robust adaptation of cropping systems will need to consider this underappreciated risk to food production from climate change.

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Fig. 1: Crop yield sensitivity to temperature and temperature–moisture couplings across global croplands.
Fig. 2: Global dependence of yield sensitivity to temperature on two temperature–moisture couplings.
Fig. 3: Schematic of potential mechanisms for compound heat and moisture impacts on crops in regions with strong temperature–moisture couplings.
Fig. 4: Projected future changes in temperature–moisture couplings and yield sensitivity to temperature in response to warming.
Fig. 5: Projected additional impact of future warming on maize yields due to changing temperature–moisture couplings.
Fig. 6: Uncertainty in projected additional maize yield impact due to changing temperature–moisture couplings.

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Data availability

The datasets supporting the results of this paper are freely available from the references and links listed in Supplementary Table 1. The crop yield data are available from D.R. upon request. The intermediate datasets are available at Source data are provided with this paper.

Code availability

The processing and analysis codes are available at


  1. Lobell, D. B. & Field, C. B. Global scale climate-crop yield relationships and the impacts of recent warming. Environ. Res. Lett. 2, 014002 (2007).

    Article  ADS  Google Scholar 

  2. Lobell, D. B. et al. The critical role of extreme heat for maize production in the United States. Nat. Clim. Change 3, 497–501 (2013).

    Article  ADS  Google Scholar 

  3. Zhao, C. et al. Temperature increase reduces global yields of major crops in four independent estimates. Proc. Natl Acad. Sci. USA 114, 9326–9331 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Schlenker, W. & Roberts, M. J. Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change. Proc. Natl Acad. Sci. USA 106, 15594–15598 (2009).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  5. Vogel, E. et al. The effects of climate extremes on global agricultural yields. Environ. Res. Lett. 14, 054010 (2019).

    Article  ADS  Google Scholar 

  6. Lobell, D. B., Bänziger, M., Magorokosho, C. & Vivek, B. Nonlinear heat effects on African maize as evidenced by historical yield trials. Nat. Clim. Change 1, 42–45 (2011).

    Article  ADS  Google Scholar 

  7. Urban, D. W., Sheffield, J. & Lobell, D. B. The impacts of future climate and carbon dioxide changes on the average and variability of US maize yields under two emission scenarios. Environ. Res. Lett. 10, 045003 (2015).

    Article  ADS  CAS  Google Scholar 

  8. Prasad, P. V. V. et al. in Response of Crops to Limited Water: Understanding and Modeling Water Stress Effects on Plant Growth Processes (eds Ahuja, L. R. et al.) 301–356 (American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2008);

  9. Troy, T. J., Kipgen, C. & Pal, I. The impact of climate extremes and irrigation on US crop yields. Environ. Res. Lett. 10, 054013 (2015).

    Article  ADS  Google Scholar 

  10. Carter, E. K., Melkonian, J., Riha, S. J. & Shaw, S. B. Separating heat stress from moisture stress: analyzing yield response to high temperature in irrigated maize. Environ. Res. Lett. 11, 094012 (2016).

    Article  ADS  Google Scholar 

  11. Matiu, M., Ankerst, D. P. & Menzel, A. Interactions between temperature and drought in global and regional crop yield variability during 1961-2014. PLoS ONE 12, e0178339 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. Coffel, E. D. et al. Future hot and dry years worsen Nile Basin water scarcity despite projected precipitation increases. Earth’s Future 7, 967–977 (2019).

    Article  ADS  Google Scholar 

  13. Rigden, A. J., Mueller, N. D., Holbrook, N. M., Pillai, N. & Huybers, P. Combined influence of soil moisture and atmospheric evaporative demand is important for accurately predicting US maize yields. Nat. Food 1, 127–133 (2020).

    Article  Google Scholar 

  14. Schauberger, B. et al. Consistent negative response of US crops to high temperatures in observations and crop models. Nat. Commun. 8, 13931 (2017).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  15. Ortiz-Bobea, A., Wang, H., Carrillo, C. M. & Ault, T. R. Unpacking the climatic drivers of US agricultural yields. Environ. Res. Lett. 14, 064003 (2019).

  16. Siebert, S., Webber, H., Zhao, G. & Ewert, F. Heat stress is overestimated in climate impact studies for irrigated agriculture. Environ. Res. Lett. 12, 044012 (2017).

  17. Lesk, C. & Anderson, W. Decadal variability modulates trends in concurrent heat and drought over global croplands. Environ. Res. Lett. 16 055024 (2021).

  18. Berg, A. et al. Interannual coupling between summertime surface temperature and precipitation over land: processes and implications for climate change. J. Clim. 28, 1308–1328 (2015).

    Article  ADS  Google Scholar 

  19. Seneviratne, S. I. et al. Investigating soil moisture–climate interactions in a changing climate: a review. Earth Sci. Rev. 99, 125–161 (2010).

    Article  ADS  CAS  Google Scholar 

  20. Zscheischler, J. & Seneviratne, S. I. Dependence of drivers affects risks associated with compound events. Sci. Adv. 3, e1700263 (2017).

  21. Trenberth, K. E. & Shea, D. J. Relationships between precipitation and surface temperature. Geophys. Res. Lett. 32, 1–4 (2005).

    Article  Google Scholar 

  22. Seneviratne, S. I., Lüthi, D., Litschi, M. & Schär, C. Land–atmosphere coupling and climate change in Europe. Nature 443, 205–209 (2006).

    Article  ADS  CAS  PubMed  Google Scholar 

  23. Horton, R. M., Mankin, J. S., Lesk, C., Coffel, E. & Raymond, C. A review of recent advances in research on extreme heat events. Curr. Clim. Change Rep. 2, 242–259 (2016).

    Article  Google Scholar 

  24. Berg, A. et al. Impact of soil moisture–atmosphere interactions on surface temperature distribution. J. Clim. 27, 7976–7993 (2014).

    Article  ADS  Google Scholar 

  25. Miralles, D. G., Teuling, A. J., Van Heerwaarden, C. C. & De Arellano, J. V. G. Mega-heatwave temperatures due to combined soil desiccation and atmospheric heat accumulation. Nat. Geosci. 7, 345–349 (2014).

    Article  ADS  CAS  Google Scholar 

  26. Ray, D. K. et al. Climate change has likely already affected global food production. PLoS ONE 14, e0217148 (2019).

  27. Ray, D. K., Gerber, J. S., Macdonald, G. K. & West, P. C. Climate variation explains a third of global crop yield variability. Nat. Commun. 6, 5989 (2015).

  28. Liu, B. et al. Similar estimates of temperature impacts on global wheat yield by three independent methods. Nat. Clim. Change 6, 1130–1136 (2016).

    Article  ADS  Google Scholar 

  29. Sánchez, B., Rasmussen, A. & Porter, J. R. Temperatures and the growth and development of maize and rice: a review. Glob. Change Biol. 20, 408–417 (2014).

    Article  ADS  Google Scholar 

  30. Welch, J. R. et al. Rice yields in tropical/subtropical Asia exhibit large but opposing sensitivities to minimum and maximum temperatures. Proc. Natl Acad. Sci. USA 107, 14562–14567 (2010).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  31. Zhang, T., Lin, X. & Sassenrath, G. F. Current irrigation practices in the central United States reduce drought and extreme heat impacts for maize and soybean, but not for wheat. Sci. Total Environ. 508, 331–342 (2015).

    Article  ADS  CAS  PubMed  Google Scholar 

  32. Mittler, R. Abiotic stress, the field environment and stress combination. Trends Plant Sci. 11, 15–19 (2006).

    Article  CAS  PubMed  Google Scholar 

  33. Swann, A. L. S. Plants and drought in a changing climate. Curr. Clim. Change Rep. 4, 192–201 (2018).

    Article  Google Scholar 

  34. Skinner, C. B., Poulsen, C. J. & Mankin, J. S. Amplification of heat extremes by plant CO2 physiological forcing. Nat. Commun. 9, 1–11 (2018).

    Article  CAS  Google Scholar 

  35. Gates, D. M. Transpiration and leaf temperature. Annu. Rev. Plant Physiol. 19, 211–238 (1968).

    Article  Google Scholar 

  36. Crafts-Brandner, S. J. & Salvucci, M. E. Sensitivity of photosynthesis in a C4 plant, maize, to heat stress. Plant Physiol. 129, 1773–1780 (2002).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Grossiord, C. et al. Plant responses to rising vapor pressure deficit. N. Phytol. 226, 1550–1566 (2020).

    Article  Google Scholar 

  38. Rosenzweig, C. et al. Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison. Proc. Natl Acad. Sci. USA 111, 3268–3273 (2014).

    Article  ADS  CAS  PubMed  Google Scholar 

  39. Eyring, V. et al. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geosci. Model Dev. 9, 1937–1958 (2016).

    Article  ADS  Google Scholar 

  40. Seth, A. et al. Monsoon responses to climate changes—connecting past, present and future. Curr. Clim. Change Rep. 5, 63–79 (2019).

  41. Orlowsky, B. & Seneviratne, S. I. Statistical analyses of land–atmosphere feedbacks and their possible pitfalls. J. Clim. 23, 3918–3932 (2010).

    Article  ADS  Google Scholar 

  42. Lesk, C., Coffel, E. & Horton, R. Net benefits to US soy and maize yields from intensifying hourly rainfall. Nat. Clim. Change 10, 819–822 (2020).

    Article  ADS  Google Scholar 

  43. Vogel, M. M. et al. Regional amplification of projected changes in extreme temperatures strongly controlled by soil moisture–temperature feedbacks. Geophys. Res. Lett. 44, 1511–1519 (2017).

    Article  ADS  Google Scholar 

  44. Mueller, B. et al. Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations. Geophys. Res. Lett. 38, 1–7 (2011).

    Article  Google Scholar 

  45. Pendergrass, A. G. et al. Flash droughts present a new challenge for subseasonal-to-seasonal prediction. Nat. Clim. Change 10, 191–199 (2020).

    Article  ADS  Google Scholar 

  46. Mueller, N. D. et al. Global relationships between cropland intensification and summer temperature extremes over the last 50 years. J. Clim. 30, 7505–7528 (2017).

    Article  ADS  Google Scholar 

  47. He, Y., Lee, E. & Mankin, J. S. Seasonal tropospheric cooling in northeast China associated with cropland expansion. Environ. Res. Lett. 15, 034032 (2020).

  48. Ainsworth, E. A. & Long, S. P. 30 years of free-air carbon dioxide enrichment (FACE): what have we learned about future crop productivity and its potential for adaptation? Glob. Change Biol. 27, 27–49 (2021).

    Article  ADS  Google Scholar 

  49. Deryng, D. et al. Regional disparities in the beneficial effects of rising CO2 concentrations on crop water productivity. Nat. Clim. Change 6, 786–790 (2016).

    Article  ADS  Google Scholar 

  50. Challinor, A. J., Koehler, A.-K., Ramirez-Villegas, J., Whitfield, S. & Das, B. Current warming will reduce yields unless maize breeding and seed systems adapt immediately. Nat. Clim. Change 6, 954–958 (2016).

    Article  ADS  Google Scholar 

  51. Lobell, D. B., Deines, J. M. & Di Tommaso, S. Changes in the drought sensitivity of US maize yields. Nat. Food 1, 729–735 (2020).

    Article  Google Scholar 

  52. Bassu, S. et al. How do various maize crop models vary in their responses to climate change factors? Glob. Change Biol. 20, 2301–2320 (2014).

    Article  ADS  Google Scholar 

  53. Harris, I., Jones, P. D., Osborn, T. J. & Lister, D. H. Updated high-resolution grids of monthly climatic observations—the CRU TS3.10 dataset. Int. J. Clim. 34, 623–642 (2014).

    Article  Google Scholar 

  54. Rodell, M. et al. The Global Land Data Assimilation System. Bull. Am. Meteorol. Soc. 85, 381–394 (2004).

    Article  ADS  Google Scholar 

  55. Sacks, W. J., Deryng, D. & Foley, J. A. Crop planting dates: an analysis of global patterns. Glob. Ecol. Biogeogr. 19, 607–620 (2010).

    Google Scholar 

  56. Hersbach, H. et al. The ERA5 global reanalysis. Q. J. R. Meteorol. Soc. 146, 1999–2049 (2020).

    Article  ADS  Google Scholar 

  57. Vautard, R., Yiou, P. & Ghil, M. Singular-spectrum analysis: a toolkit for short, noisy chaotic signals. Physica D 58, 95–126 (1992).

    Article  ADS  Google Scholar 

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This material is based on work supported by the National Science Foundation Graduate Research Fellowship under grant no. DGE—1644869. J.W. was supported by the National Science Foundation under grant no. BCS—184018. J.Z. acknowledges the Swiss National Science Foundation (Ambizione grant no. 179876) and the Helmholtz Initiative and Networking Fund (Young Investigator Group COMPOUNDX, grant agreement no. VH-NG-1537). S.I.S. acknowledges support from the European Union’s Horizon 2020 Research and Innovation Program (grant agreement no. 821003 (4C)) and the Swiss National Foundation in relation to the DAMOCLES COST Action (project ‘Compound events in a changing climate’). We thank J. Jägermeyr, J. Mankin, R. DeFries and M. Ting for constructive feedback on the methods and results. We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated CMIP6. We thank the climate modelling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data, and the funding agencies who support CMIP6 and ESGF.

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C.L., E.C. and J.W. designed and coordinated this research. C.L. conducted the analysis. All authors discussed the methods and results and wrote the manuscript.

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Correspondence to Corey Lesk.

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Peer review information Nature Food thanks Angeline Pendergrass and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Lesk, C., Coffel, E., Winter, J. et al. Stronger temperature–moisture couplings exacerbate the impact of climate warming on global crop yields. Nat Food 2, 683–691 (2021).

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