Increasing drought and diminishing benefits of elevated carbon dioxide for soybean yields across the US Midwest

Zhenong Jin, Elizabeth A. Ainsworth, Andrew D.B. Leakey, David B. Lobell

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

Elevated atmospheric CO2 concentrations ([CO2]) are expected to increase C3 crop yield through the CO2 fertilization effect (CFE) by stimulating photosynthesis and by reducing stomatal conductance and transpiration. The latter effect is widely believed to lead to greater benefits in dry rather than wet conditions, although some recent experimental evidence challenges this view. Here we used a process-based crop model, the Agricultural Production Systems sIMulator (APSIM), to quantify the contemporary and future CFE on soybean in one of its primary production area of the US Midwest. APSIM accurately reproduced experimental data from the Soybean Free-Air CO2 Enrichment site showing that the CFE declined with increasing drought stress. This resulted from greater radiation use efficiency (RUE) and above-ground biomass production at elevated [CO2] that outpaced gains in transpiration efficiency (TE). Using an ensemble of eight climate model projections, we found that drought frequency in the US Midwest is projected to increase from once every 5 years currently to once every other year by 2050. In addition to directly driving yield loss, greater drought also significantly limited the benefit from rising [CO2]. This study provides a link between localized experiments and regional-scale modeling to highlight that increased drought frequency and severity pose a formidable challenge to maintaining soybean yield progress that is not offset by rising [CO2] as previously anticipated. Evaluating the relative sensitivity of RUE and TE to elevated [CO2] will be an important target for future modeling and experimental studies of climate change impacts and adaptation in C3 crops.

Original languageEnglish (US)
Pages (from-to)e522-e533
JournalGlobal change biology
Volume24
Issue number2
DOIs
StatePublished - Feb 1 2018

Bibliographical note

Funding Information:
We thank two anonymous reviewers for their constructive comments, which helped us improve this manuscript. This research was supported by the Blaustein Visiting Professor Fund and National Research Initiative of Agriculture and Food Research Initiative Competitive Grants Program Grant No. 2010-65114-20343 from the USDA National Institute of Food and Agriculture.

Keywords

  • crop modeling
  • drought
  • elevated CO
  • soybean

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