Abstract
In 2012, soybean crops failed in the three largest producing regions due to spatially compounded hot and dry weather across North and South America. Here, we present different impact storylines of the 2012 event, calculated by combining a statistical crop model with climate model simulations of 2012 conditions under pre-industrial, present-day (+1 °C), and future (+2 °C) conditions. These simulations use the ECHAM6 climate model and maintain the same observed seasonally evolving atmospheric circulation. Our results demonstrate that anthropogenic warming strongly amplifies the impacts of such a large-scale circulation pattern on global soybean production. Although the drought intensity is similar under different warming levels, larger crop losses are driven not only by warmer temperatures but also by stronger heat-moisture interactions. We estimate that one-third of the global soybean production deficit in 2012 is attributable to anthropogenic climate change. Future warming (+2 °C above pre-industrial) would further exacerbate production deficits by one-half compared to present-day 2012 conditions. This highlights the increasing intensity of global soybean production shocks with warming, requiring urgent adaptation strategies.
| Original language | English |
|---|---|
| Article number | 199 |
| Number of pages | 9 |
| Journal | Communications Earth & Environment |
| Volume | 6 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 12 Mar 2025 |
Bibliographical note
Publisher Copyright:© The Author(s) 2025.
Funding
We thank the maintainers and funders of the BAZIS cluster at VU Amsterdam for computational resources. This work was supported by the European Union\u2019s Horizon 2020 Research and Innovation Programme (RECEIPT; grant no. 820712) (R.H., D.C., H.M.D.G., T.G.S. and B.V.D.H.) and the European Union\u2019s Horizon 2020 Research and Innovation Programme (XAIDA; grant no. 101003469) (R.H., D.C. and T.G.S.). We thank F. Feser for facilitating access to the storyline and ECHAM_SN datasets.
| Funders | Funder number |
|---|---|
| Horizon 2020 Framework Programme | |
| RECEIPT | 820712 |
| XAIDA | 101003469 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- Impact
- Stress
- Temperature
- Trends
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