Climatic Change

, Volume 130, Issue 2, pp 235–245 | Cite as

Impacts of precipitation and temperature on crop yields in the Pampas

  • Santiago R. Verón
  • Diego de Abelleyra
  • David B. Lobell


Understanding regional impacts of recent climate trends can help anticipate how further climate change will affect agricultural productivity. We here used panel models to estimate the contribution of growing season precipitation (P), average temperature (T) and diurnal temperature range (DTR) on wheat, maize and soy yield and yield trends between 1971 and 2012 from 33 counties of the Argentine Pampas. A parallel analysis was conducted on a per county basis by adjusting a linear model to the first difference (i.e., subtracting from each value the previous year value) in yield and first difference in weather variables to estimate crop sensitivity to interannual changes in P, T, and DTR. Our results show a relatively small but significant negative impact of climate trends on yield which is consistent with the estimated crop and county specific sensitivity of yield to interannual changes in P, T and DTR and their temporal trends. Median yield loss from climate trends for the 1971−2012 period amounted to 5.4 % of average yields for maize, 5.1 % for wheat, and 2.6 % for soy. Crop yield gains for this time period could have been 15–20 % higher if climate remained without directional changes in the Pampas. On average, crop yield responded more to trends in T and DTR than in P. Translated into economic terms the observed reductions in maize, wheat, and soy yields due to climate trends in the Pampas would equal $1.1 B using 2013 producer prices. These results add to the increasing evidence that climate trends are slowing yield increase.


Crop Yield Wheat Yield Diurnal Temperature Range Climate Trend Panel Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



Our work is funded by the Agencia Nacional de Promoción Científicay Tecnológica of Argentina (ANPCyT PICT0598) and the Instituto Nacional de Tecnología Agropecuaria (PNNAT-1128024). SRV thanks INTA Programa de Capacitación for the visiting fellowship at Stanford University, during which this work was conducted.

Supplementary material

10584_2015_1350_MOESM1_ESM.docx (865 kb)
ESM 1 (DOCX 865 kb)


  1. Ainsworth EA, Leakey ABD, Ort DR, Long SP (2008) FACE-ing the facts: inconsistencies and interdependence among field, chamber and modeling studies of elevated [CO2] impacts on crop yield and food supply. New Phytol 179:5–9CrossRefGoogle Scholar
  2. Anderson JR, Hazell P (1989) Variability in grain yields. The John Hopkins University Press, LondonGoogle Scholar
  3. Asseng S, Travasso MI, Fulco L, Magrin GO (2012) Has climate change opened new opportunities for wheat cropping in Argentina? Clim Change 117:181–196CrossRefGoogle Scholar
  4. Brisson N, Gate P, Gouache G, Oury F, Huard F (2010) Why are wheat yields stagnating in Europe? A comprehensive data analysis for France. Field Crops Res 119:201–212CrossRefGoogle Scholar
  5. Bristow KL, Campbell GS (1984) On the relationship between incoming solar-radiation and daily maximum and minimum temperature. Agric For Meteorol 31:159–166CrossRefGoogle Scholar
  6. Calviño P, Sadras VO, Andrade FH (2003) Development, growth and yield of late-sown soybean in the southern Pampas. Eur J Agron 19:265–275CrossRefGoogle Scholar
  7. Cardwell VB (1982) Fifty years of Minnesota corn production: sources of yield increase. Agron J 74:984–990CrossRefGoogle Scholar
  8. de la Casa AC, Ovando GG (2014) Climate change and its impact on agricultural potential in the central region of Argentina between 1941 and 2010. Agric Forest MeteorolGoogle Scholar
  9. Duvick DN (2005) The contribution of breeding to yield advances in maize (Zea mays l.). Adv Agron 86:83–145CrossRefGoogle Scholar
  10. Fischer RA, Edmeades GO (2010) Breeding and cereal yield progress. Crop Sci 50:S85–S98CrossRefGoogle Scholar
  11. Foley JA et al (2011) Solutions for a cultivated planet. Nature 478:337–342CrossRefGoogle Scholar
  12. Grassini P, Eskridge KM, Cassman KG (2013) Distinguishing between yield advances and yield plateaus in historical crop production trends Nat Commun 4 doi: 10.1038/ncomms3918
  13. Grau HR, Aide TM, Gasparri NI (2005) Globalization and soybean expansion into semiarid ecosystems of Argentina. Ambio 34:265–266Google Scholar
  14. Grau HR, Gasparri NI, Aide TM (2008) Balancing food production and nature conservation in the Neotropical dry forests of northern Argentina. Glob Chang Biol 14:985–997CrossRefGoogle Scholar
  15. Hume DJ, Jackson AKH (1981) Pod formation in soybeans at low temperature. Crop Sci 21:933–937CrossRefGoogle Scholar
  16. INDEC INdEyC (2002) Censo Nacional Agropecuario. Buenos AiresGoogle Scholar
  17. Jones JW et al (2003) The DSSAT cropping system model. Eur J Agron 18:235–265CrossRefGoogle Scholar
  18. Lobell DB, Burke MB (2008) Why are agricultural impacts of climate change so uncertain? The importance of temperature relative to precipitation. Environ Res Lett 3:034007CrossRefGoogle Scholar
  19. Lobell DB, Burke MB (2010) On the use of statistical models to predict crop yield responses to climate change. Agric For Meteorol 150:1443–1452CrossRefGoogle Scholar
  20. Lobell DB, Field CB (2007) Global scale climate–crop yield relationships and the impacts of recent warming. Environ Res Lett 2:004000CrossRefGoogle Scholar
  21. Lobell DB, Banziger M, Magorokosho C, Vivek B (2011a) Nonlinear heat effects on African maize as evidenced by historical yield trials. Nature Clim Chang 1:42–45CrossRefGoogle Scholar
  22. Lobell DB, Schlenker W, Costa-Roberts J (2011b) Climate trends and global crop production since 1980. Science 333:616–620CrossRefGoogle Scholar
  23. Lobell DB, Hammer GL, McLean G, Messina C, Roberts MJ, Schlenker W (2013) The critical role of extreme heat for maize production in the United States Nature Climate Change 3:497–501Google Scholar
  24. Magrin GO, Travasso MI, Rodriguez GR (2005) Changes in climate and crop production during the 20th century in Argentina. Clim Chang 72:229–249CrossRefGoogle Scholar
  25. Maltais-Landry G, Lobell DB (2012) Evaluating the contribution of weather to maize and wheat yield trends in 12 U.S. counties. Agron J 104:301–311CrossRefGoogle Scholar
  26. Paruelo JM, Guerschman JP, Baldi G, Di Bella CM (2004) La estimación de la superficie agrícola. Antecedentes y una propuesta metodológica. Interciencia 29:421–427Google Scholar
  27. Paruelo JM, Guerschman JP, Verón SR (2005) Expansion agricola y cambios en el uso del suelo. Ciencia Hoy 15:14–23Google Scholar
  28. Sadras VO, Grassini P, Costa R, Cohan L, Hall AJ (2014) How reliable are crop production data? Case studies in USA and Argentina Food SecurityGoogle Scholar
  29. Shi W, Tao F, Zhang Z (2013) A review on statistical models for identifying climate contributions to crop yields. J Geogr Sci 23:567–576CrossRefGoogle Scholar
  30. Verón SR, Paruelo JM, Sala OE, Lauenroth WK (2002) Environmental controls of primary production in agricultural systems of the Argentine Pampas. Ecosystems 5:625–635CrossRefGoogle Scholar
  31. Verón SR, Paruelo JM, Slafer GA (2004) Interannual variability of wheat yield in the Argentine Pampas during the 20th century Agriculture. Ecosyst Environ 103:177–190CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Santiago R. Verón
    • 1
    • 2
  • Diego de Abelleyra
    • 1
  • David B. Lobell
    • 3
  1. 1.Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA)HurlinghamArgentina
  2. 2.Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de AgronomíaUniversidad de Buenos Aires and CONICETBuenos AiresArgentina
  3. 3.Department of Environmental Earth System Science and Program on Food Security and EnvironmentStanford UniversityStanfordUSA

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