Abstract
Weather data generated for different parts of the
UK under five climate change scenarios (baseline, 2020s
low CO2 emissions, 2020s high emissions, 2050s low
emissions, 2050s high emissions) were inputted into
weather-based models for predicting oilseed rape yields
and yield losses from the two most important diseases,
phoma stem canker and light leaf spot. An economic
analysis of the predictions made by the models was done to
provide a basis to guide government and industry planning
for adaptation to effects of climate change on crops to
ensure future food security. Modelling predicted that yields
of fungicide-treated oilseed rape would increase by the
2020s and continue to increase by the 2050s, particularly in
Scotland and northern England. If stem canker and light
leaf spot were effectively controlled, the value of the crop
was predicted to increase above the baseline 1980s value by
£13 M in England and £28 M in Scotland by the 2050s
under a high CO2 emissions scenario. However, in contrast
to predictions that phoma stem canker will increase in
severity and range with climate change, modelling indicated
that losses due to light leaf spot will decrease in both
Scotland and England. Combined losses from both phoma
stem canker and light leaf spot are predicted to increase, with
yield losses of up to 40% in southern England and some
regions of Scotland by the 2050s under the high emission
scenarios. For this scenario, UK disease losses are predicted
to increase by £50 M (by comparison with the baseline
losses). However, the predicted increases in fungicidetreated
(potential) yield and phoma stem canker/light leaf
spot yield losses compensate for each other so that the net
UK losses from climate change for untreated oilseed rape
are small.
Original language | English |
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Pages (from-to) | 143 - 156 |
Number of pages | 14 |
Journal | Food Security |
Volume | 2 |
DOIs | |
Publication status | First published - 2010 |
Bibliographical note
1020889Keywords
- Food security
- Global warming