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

• Published in: Chinese science bulletin Vol. 56; no. 8; pp. 729 - 737
• Main Authors: Yao, FengMei, Qin, PengCheng, Zhang, JiaHua, Lin, ErDa, Boken, Vijendra
• Format: Journal Article
• Language: English
• Published: Heidelberg Springer-Verlag 01.03.2011; SP Science China Press
• Subjects: Agriculture; Assessments; Chemistry/Food Science; Climate; Climate change; climate models; Computer simulation; crop models; Earth Sciences; Engineering; Focusing; Humanities and Social Sciences; Life Sciences; Mathematical models; multidisciplinary; Physics; processing technology; Review; Science; Science (multidisciplinary); simulation models; Uncertainty; 不确定性传播; 不确定性模型; 农业影响; 影响评估; 模型模拟; 气候变化; 气候模型; 气候预测; agriculture; model simulation; uncertainty; climate change; impact assessment
• ISSN: 1001-6538; 1861-9541; 1861-9541
• DOI: 10.1007/s11434-011-4374-6

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.