Prediction of seasonal climate-induced variations in global food production
Toshichika Iizumi (),
Hirofumi Sakuma,
Masayuki Yokozawa,
Jing-Jia Luo,
Andrew J. Challinor,
Molly E. Brown,
Gen Sakurai and
Toshio Yamagata
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Toshichika Iizumi: National Institute for Agro-Environmental Sciences
Hirofumi Sakuma: Research Institute for Global Change, Yokohama Institute for Earth Sciences
Masayuki Yokozawa: National Institute for Agro-Environmental Sciences
Jing-Jia Luo: Centre for Australian Weather and Climate Research, Bureau of Meteorology
Andrew J. Challinor: Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds
Molly E. Brown: Biospheric Sciences Branch, NASA Goddard Space Flight Center
Gen Sakurai: National Institute for Agro-Environmental Sciences
Toshio Yamagata: Application Laboratory, Yokohama Institute for Earth Sciences
Nature Climate Change, 2013, vol. 3, issue 10, 904-908
Abstract:
Increasing volatility in food markets and the rising incidence of climatic extremes could lead to more frequent spikes in food prices. A global assessment of the reliability of crop simulations in reproducing past failures in major crop types suggests that seasonal forecasts can be useful for monitoring global food production.
Date: 2013
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DOI: 10.1038/nclimate1945
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