数字农科院2.0

Uncertainties in assessing the effect of climate change on agriculture using model simulation and uncertainty processing methods

文献类型： 外文期刊

作者： Zhang JiaHua;Yao FengMei;Qin PengCheng;Zhang JiaHua;Zhang JiaHua;Lin ErDa;Boken, Vijendra

作者机构：

关键词： climate change;agriculture;impact assessment;uncertainty;model simulation

期刊名称： CHINESE SCIENCE BULLETIN

ISSN： 1001-6538

年卷期： 2011 年 56 卷 8 期

页码：

收录情况： SCI

摘要： 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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