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Assessing the impacts of climate change on rice yields in the main rice areas of China

机译:评估气候变化对中国主要稻区稻米产量的影响

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摘要

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 CO_2 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 forhigh 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 area, of China. With the CO_2 direct effect on rice yield, rice yield increase in all selected station?
机译:本文使用2071-2090年期间的区域气候模型(RCM)和CERES-rice模型,通过B2气候变化情景评估了气候变化对灌溉水稻产量的影响。选择了位于中国主要水稻生态区的八个典型的水稻站(经度,纬度和海拔范围)进行影响评估。首先,使用选定站点的农场实验数据验证通过资源和环境综合(CERES)-水稻模型进行的作物估计。模拟结果令人满意地表示了开花持续时间和产量的趋势。模拟偏差在观察到的开花持续时间的+/- 10%内和观察到的产量的+/- 15%内。其次,校正由于站点和网格点之间的地形差异而引起的RCM输出的误差。用于模拟水稻开花期和产量的RCM校正输出比未校正的更可靠。如果没有CO_2对作物的直接影响,评估结果表明,B2气候变化情景将对大多数稻米站的稻米产量产生负面影响,而对福州和昆明的影响则很小。为了找出年间水稻产量的变化,根据低,高产量的比较累积概率以及B2情景和基线之间的产量系数变量进行了初步评估。如果没有CO2对水稻产量的直接影响,结果表明低产量的频率将增加,高产量则相反,水稻产量的方差将增加。结论是,在中国主要稻区的大多数选定站,高频率,低产量和稻米产量的高波动可能对稻米产量构成威胁。由于CO_2直接影响水稻产量,所有选定站的水稻产量都增加了?

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