Abstract
Consumers, including the poor in many countries, are increasingly dependent on food imports and are thus exposed to variations in yields, production and export prices in the major food-producing regions of the world. National governments and commercial entities are therefore paying increased attention to the cropping forecasts of important food-exporting countries as well as to their own domestic food production. Given the increased volatility of food markets and the rising incidence of climatic extremes affecting food production, food price spikes may increase in prevalence in future years. Here we present a global assessment of the reliability of crop failure hindcasts for major crops at two lead times derived by linking ensemble seasonal climatic forecasts with statistical crop models. We found that moderate-to-marked yield loss over a substantial percentage (26-33%) of the harvested area of these crops is reliably predictable if climatic forecasts are near perfect. However, only rice and wheat production are reliably predictable at three months before the harvest using within-season hindcasts. The reliabilities of estimates varied substantially by crop - rice and wheat yields were the most predictable, followed by soybean and maize. The reasons for variation in the reliability of the estimates included the differences in crop sensitivity to the climate and the technology used by the crop-producing regions. Our findings reveal that the use of seasonal climatic forecasts to predict crop failures will be useful for monitoring global food production and will encourage the adaptation of food systems toclimatic extremes.
| Original language | English |
|---|---|
| Pages (from-to) | 904-908 |
| Number of pages | 5 |
| Journal | Nature Climate Change |
| Volume | 3 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 2013 Oct |
| Externally published | Yes |
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ASJC Scopus subject areas
- Environmental Science (miscellaneous)
- Social Sciences (miscellaneous)
Cite this
Prediction of seasonal climate-induced variations in global food production. / Iizumi, Toshichika; Sakuma, Hirofumi; Yokosawa, Masayuki; Luo, Jing Jia; Challinor, Andrew J.; Brown, Molly E.; Sakurai, Gen; Yamagata, Toshio.
In: Nature Climate Change, Vol. 3, No. 10, 10.2013, p. 904-908.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Prediction of seasonal climate-induced variations in global food production
AU - Iizumi, Toshichika
AU - Sakuma, Hirofumi
AU - Yokosawa, Masayuki
AU - Luo, Jing Jia
AU - Challinor, Andrew J.
AU - Brown, Molly E.
AU - Sakurai, Gen
AU - Yamagata, Toshio
PY - 2013/10
Y1 - 2013/10
N2 - Consumers, including the poor in many countries, are increasingly dependent on food imports and are thus exposed to variations in yields, production and export prices in the major food-producing regions of the world. National governments and commercial entities are therefore paying increased attention to the cropping forecasts of important food-exporting countries as well as to their own domestic food production. Given the increased volatility of food markets and the rising incidence of climatic extremes affecting food production, food price spikes may increase in prevalence in future years. Here we present a global assessment of the reliability of crop failure hindcasts for major crops at two lead times derived by linking ensemble seasonal climatic forecasts with statistical crop models. We found that moderate-to-marked yield loss over a substantial percentage (26-33%) of the harvested area of these crops is reliably predictable if climatic forecasts are near perfect. However, only rice and wheat production are reliably predictable at three months before the harvest using within-season hindcasts. The reliabilities of estimates varied substantially by crop - rice and wheat yields were the most predictable, followed by soybean and maize. The reasons for variation in the reliability of the estimates included the differences in crop sensitivity to the climate and the technology used by the crop-producing regions. Our findings reveal that the use of seasonal climatic forecasts to predict crop failures will be useful for monitoring global food production and will encourage the adaptation of food systems toclimatic extremes.
AB - Consumers, including the poor in many countries, are increasingly dependent on food imports and are thus exposed to variations in yields, production and export prices in the major food-producing regions of the world. National governments and commercial entities are therefore paying increased attention to the cropping forecasts of important food-exporting countries as well as to their own domestic food production. Given the increased volatility of food markets and the rising incidence of climatic extremes affecting food production, food price spikes may increase in prevalence in future years. Here we present a global assessment of the reliability of crop failure hindcasts for major crops at two lead times derived by linking ensemble seasonal climatic forecasts with statistical crop models. We found that moderate-to-marked yield loss over a substantial percentage (26-33%) of the harvested area of these crops is reliably predictable if climatic forecasts are near perfect. However, only rice and wheat production are reliably predictable at three months before the harvest using within-season hindcasts. The reliabilities of estimates varied substantially by crop - rice and wheat yields were the most predictable, followed by soybean and maize. The reasons for variation in the reliability of the estimates included the differences in crop sensitivity to the climate and the technology used by the crop-producing regions. Our findings reveal that the use of seasonal climatic forecasts to predict crop failures will be useful for monitoring global food production and will encourage the adaptation of food systems toclimatic extremes.
UR - http://www.scopus.com/inward/record.url?scp=84887226352&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84887226352&partnerID=8YFLogxK
U2 - 10.1038/nclimate1945
DO - 10.1038/nclimate1945
M3 - Article
AN - SCOPUS:84887226352
VL - 3
SP - 904
EP - 908
JO - Nature Climate Change
JF - Nature Climate Change
SN - 1758-678X
IS - 10
ER -