Impact assessment of climate change on rice production in Asia in comprehensive consideration of process/parameter uncertainty in general circulation models

• Published in: Agriculture, ecosystems & environment ecosystems & environment, 2009-06, Vol.131 (3), p.281-291
• Main Authors: Masutomi, Yuji, Takahashi, Kiyoshi, Harasawa, Hideo, Matsuoka, Yuzuru
• Format: Article
• Language: English
• Subjects: Agronomy. Soil science and plant productions; Asia; Biological and medical sciences; carbon dioxide; Climate change; crop models; cropping systems; elevated atmospheric gases; Fundamental and applied biological sciences. Psychology; GCM; General agroecology; General agroecology. Agricultural and farming systems. Agricultural development. Rural area planning. Landscaping; General agronomy. Plant production; General Circulation Models; Generalities. Agricultural and farming systems. Agricultural development; grain yield; Oryza sativa; Rice; risk assessment; simulation models; Uncertainty
• ISSN: 0167-8809; 1873-2305
• DOI: 10.1016/j.agee.2009.02.004

We assessed the impact of climate change on rice production in Asia in comprehensive consideration of the process/parameter uncertainty in general circulation models (GCMs). After inputting future climate scenarios based on the projections of GCMs for three Special Report on Emissions Scenarios (SRES) (18 GCMs for A1B, 14 GCMs for A2, and 17 GCMs for B1) into a crop model, we calculated the average change in production ( A CP), the standard deviation of the change in production ( SD CP), and the probability of a production decrease ( P PD) for each SRES scenario, taking into account the effect of CO 2 fertilization. In the 2020s, P PD values were high for all SRES scenarios because the negative impacts of climate change were larger than the positive effects of CO 2 fertilization in almost all climate scenarios in the near future. This suggests that it will be necessary to take immediate adaptive actions, regardless of the emission scenario, in the near future. In the 2080s, there were large differences in A CP, SD CP, and P PD among the SRES scenarios. The scenario with the highest atmospheric CO 2 concentration, A2, showed a notable decrease in production and a high P PD in the 2080s compared with the other scenarios, despite having the largest CO 2 fertilization effect. In addition, A2 had the largest SD CP among the SRES scenarios. On the other hand, the scenario with the lowest atmospheric CO 2 concentration, B1, showed a small decrease in production, and a much smaller SD CP and a much lower P PD, than in the case of A2. These results for the 2080s suggest that a reduction in CO 2 emissions in the long term has great potential not only to mitigate decreases in rice production, but also to reduce the uncertainty in these changes.