TY - JOUR
T1 - Assessing the impacts of climate change on rice yields in the main rice areas of China
AU - Yao, Fengmei
AU - Xu, Yinglong
AU - Lin, Erda
AU - Yokozawa, Masayuki
AU - Zhang, Jiahua
N1 - Funding Information:
Acknowledgements This research is funded by The National Scientific Program (2004BA611B02), NSFC (No. 30370814), GUCAS President Fund and CCSF2006-34. This research is partly supported by Global Environmental Research Fund from the Ministry of Environment of Japan. The observed weather data and fields experiment data were provided by National Meteorological Data Center in China. The first author wishes to express her thanks to Prof. Duzheng Ye, Institute of Atmospheric Physics, CAS, China, and Prof. Deliang Chen, Goteborg University, Sweden, for their suggestions and useful advice.
PY - 2007/2
Y1 - 2007/2
N2 - This paper assesses the impact of climate change on irrigated rice yield using B2 climate change scenario from the Regional Climate Model (RCM) and CERES-rice model during 2071 - 2090. Eight typical rice stations ranging in latitude, longitude, and elevation that are located in the main rice ecological zones of China are selected for impact assessment. First, Crop Estimation through Resource and Environment Synthesis (CERES)-rice model is validated using farm experiment data in selected stations. The simulated results represent satisfactorily the trend of flowering duration and yields. The deviation of simulation within ± 10% of observed flowering duration and ± 15% of observed yield. Second, the errors of the outputs of RCM due to the difference of topography between station point and grid point is corrected. The corrected output of the RCM used for simulating rice flowering duration and yield is more reliable than the not corrected. Without CO2 direct effect on crop, the results from the assessment explore that B2 climate change scenario would have a negative impact on rice yield at most rice stations and have little impacts at Fuzhou and Kunming. To find the change of inter-annual rice yield, a preliminary assessment is made based on comparative cumulative probability at low and high yield and the coefficient variable of yield between the B2 scenario and baseline. Without the CO2 direct effect on rice yield, the result indicates that frequency for low yield would increase and it reverses for high yield, and the variance for rice yield would increase. It is concluded that high frequency at low yield and high variances of rice yield could pose a threat to rice yield at most selected stations in the main rice areas of China. With the CO2 direct effect on rice yield, rice yield increase in all selected stations.
AB - This paper assesses the impact of climate change on irrigated rice yield using B2 climate change scenario from the Regional Climate Model (RCM) and CERES-rice model during 2071 - 2090. Eight typical rice stations ranging in latitude, longitude, and elevation that are located in the main rice ecological zones of China are selected for impact assessment. First, Crop Estimation through Resource and Environment Synthesis (CERES)-rice model is validated using farm experiment data in selected stations. The simulated results represent satisfactorily the trend of flowering duration and yields. The deviation of simulation within ± 10% of observed flowering duration and ± 15% of observed yield. Second, the errors of the outputs of RCM due to the difference of topography between station point and grid point is corrected. The corrected output of the RCM used for simulating rice flowering duration and yield is more reliable than the not corrected. Without CO2 direct effect on crop, the results from the assessment explore that B2 climate change scenario would have a negative impact on rice yield at most rice stations and have little impacts at Fuzhou and Kunming. To find the change of inter-annual rice yield, a preliminary assessment is made based on comparative cumulative probability at low and high yield and the coefficient variable of yield between the B2 scenario and baseline. Without the CO2 direct effect on rice yield, the result indicates that frequency for low yield would increase and it reverses for high yield, and the variance for rice yield would increase. It is concluded that high frequency at low yield and high variances of rice yield could pose a threat to rice yield at most selected stations in the main rice areas of China. With the CO2 direct effect on rice yield, rice yield increase in all selected stations.
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U2 - 10.1007/s10584-006-9122-6
DO - 10.1007/s10584-006-9122-6
M3 - Article
AN - SCOPUS:33846570847
SN - 0165-0009
VL - 80
SP - 395
EP - 409
JO - Climatic Change
JF - Climatic Change
IS - 3-4
ER -