Uncertainties in assessing the effect of climate change on agriculture using model simulation and uncertainty processing methods |
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Authors: | Yao FengMei Qin PengCheng Zhang JiaHua Lin ErDa Boken Vijendra |
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Institution: | (1) School of Agriculture, Policy and Development, The University of Reading, Reading, RG6 6AR, UK;(2) NERC Centre for Global Atmospheric Modelling, Department of Meteorology, The University of Reading, Reading, RG6 6BB, UK; |
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Abstract: | Model simulation is an important way to study the effects of climate change on agriculture. Such assessment is subject to
a range of uncertainties because of either incomplete knowledge or model technical uncertainties, impeding effective decision-making
to climate change. On the basis of uncertainties in the impact assessment at different levels, this article systematically
summarizes the sources and propagation of uncertainty in the assessment of the effect of climate change on agriculture in
terms of the climate projection, the assessment process, and the crop models linking to climate models. Meanwhile, techniques
and methods focusing on different levels and sources of uncertainty and uncertainty propagation are introduced, and shortcomings
and insufficiencies in uncertainty processing are pointed out. Finally, in terms of how to accurately assess the effect of
climate change on agriculture, improvements to further decrease potential uncertainty are suggested. |
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Keywords: | climate change agriculture impact assessment uncertainty model simulation |
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