Most staple food crop production will face big losses due to climate change

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International researchers say that most of the crops we grow are going to experience substantial production losses due to climate change, and this will likely still happen with our current mitigation measures in place. The team looked into the future of maize, soybeans, rice, wheat, cassava and sorghum — and found that only rice might avoid substantial losses. They estimate that for every 1°C increase in temperature above pre-industrial levels, production will decline by 120 calories per person per day, the equivalent of 4.4% of current daily consumption. The researchers say that, under a high emissions scenario, the US, Eastern China, Central Asia, Southern Africa, and the Middle East will lose almost half of their maize production by the end of the century. Europe, Africa, and South America will lose a quarter of their wheat production, and a third from China, Russia, the US, and Canada.

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From: Springer Nature

Assessing the impact of climate changes on crop production

Most staple food crops are expected to experience substantial production losses due to climate change, even when mitigation measures to limit the impact of climate change are considered. The findings are reported in a modelling paper published in Nature. The study assesses six staple crops — maize, soybeans, rice, wheat, cassava and sorghum — and finds that only rice might avoid substantial losses.

Climate change is expected to have an impact on global food systems, but the scale of the effects and how adaptation strategies, such as changing agricultural methods, may mitigate these impacts is debated. Previous studies have focused on outcomes in specific regions, such as the USA, but come to conflicting conclusions on the impact of adaptation. Some modelling has suggested that adaptations may impact global agricultural productivity. However, there is limited research into how real-world producers could adapt at a global scale.

Andrew Hultgren, Solomon Hsiang and colleagues assembled a dataset of six staple crops; maize, soybeans, rice, wheat, cassava and sorghum, based on data from 12,658 regions across 54 countries, to estimate the impacts of producer adaptation over the 21st century. They estimate that for every 1 °C increase in temperature above pre-industrial levels, production will decline by 120 calories per person per day, the equivalent of 4.4% of current daily consumption. They suggest that under a high emissions scenario, by the end of the century maize production may decline by up to 40% in the USA, Eastern China, Central Asia, Southern Africa, and the Middle East, while wheat loses range from 15–25% in Europe, Africa, and South America and 30–40% in China, Russia, the USA, and Canada. They propose that income growth and the implementation of adaptation strategies may reduce 23% of global losses by 2050 and 34% by 2100 compared to a no-adaptation scenario.

The authors found global impacts were driven by losses in modern-day breadbasket regions with favourable climates that had limited adaptation, noting that low-income region losses were also substantial. They conclude that further adaptation and the potential expansion of cropland may be needed to ensure food security and mitigate climate impacts.

Journal/
conference:
Nature
Research:Paper
Organisation/s: University of Illinois Urbana-Champaign, USA
Funder: This project is an output of the Climate Impact Lab consortium that gratefully acknowledges funding from the Carnegie Corporation; Energy Policy Institute at the University of Chicago (EPIC); International Growth Centre; National Science Foundation (SES1463644); Sloan Foundation; Tata Centre for Development; the Skoll Global Threats Fund; King Philanthropies; the Alfred P. Sloan Foundation; the Heising-Simons Family Fund; the Ray and Dagmar Dolby Fund; The University of Chicago Booth School of Business; Mark Heising and Liz Simons. J.Y. gratefully acknowledges support by the National Key Research and Development Program of China under grant no. 2020YFA0608602 and the National Natural Science Foundation of China under grant no. 42175066. We thank L. Alcocer, T. Bearpark, S. Cadavid-Sánchez, K. Champion, T. Chong, Z. Delgerjargal, G. Dobbels, R. Du, R. Frost, J. Gilbert, R. Goyal, S. Greenhill, E. Grenier, I. H. D. Hogan, A. Hussain, T. Kulczycki, R. Li, M. Norman, O. Nwabuikwu, S. Phan, Y. Song, K. Schwarz, N. Sharma, E. Tenezakis and J. Wang for invaluable research assistance during all stages of this project and S. Anderson, J. Chang and M. Landín for excellent project management. We acknowledge the World Climate Research Programme’s Working Group on Coupled Modeling, which is responsible for CMIP, and we thank the climate modelling groups (listed in Supplementary Table 9) for producing and making available their model output. For CMIP, the US Department of Energy’s Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals.
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