
Thomas Pugh
Senior lecturer

Similar estimates of temperature impacts on global wheat yield by three independent methods
Author
Summary, in English
The potential impact of global temperature change on global crop yield has recently been assessed with different methods. Here we show that grid-based and point-based simulations and statistical regressions (from historic records), without deliberate adaptation or CO 2 fertilization effects, produce similar estimates of temperature impact on wheat yields at global and national scales. With a 1 °C global temperature increase, global wheat yield is projected to decline between 4.1% and 6.4%. Projected relative temperature impacts from different methods were similar for major wheat-producing countries China, India, USA and France, but less so for Russia. Point-based and grid-based simulations, and to some extent the statistical regressions, were consistent in projecting that warmer regions are likely to suffer more yield loss with increasing temperature than cooler regions. By forming a multi-method ensemble, it was possible to quantify 'method uncertainty' in addition to model uncertainty. This significantly improves confidence in estimates of climate impacts on global food security.
Publishing year
2016-11-24
Language
English
Pages
1130-1136
Publication/Series
Nature Climate Change
Volume
6
Issue
12
Document type
Journal article
Publisher
Nature Publishing Group
Topic
- Environmental Sciences
Status
Published
ISBN/ISSN/Other
- ISSN: 1758-678X