Ma Yu-ping, Sun Lin-li, E You-hao, Wu Wei
Ying Yong Sheng Tai Xue Bao. 2015 Jan;26(1):224-32.
Climate change will significantly affect agricultural production in China. The combination of the integral regression model and the latest climate projection may well assess the impact of future climate change on crop yield. In this paper, the correlation model of maize yield and meteorological factors was firstly established for different provinces in China by using the integral regression method, then the impact of climate change in the next 40 years on China's maize production was evaluated combined the latest climate prediction with the reason be ing analyzed. The results showed that if the current speeds of maize variety improvement and science and technology development were constant, maize yield in China would be mainly in an increasing trend of reduction with time in the next 40 years in a range generally within 5%. Under A2 climate change scenario, the region with the most reduction of maize yield would be the Northeast except during 2021-2030, and the reduction would be generally in the range of 2.3%-4.2%. Maize yield reduction would be also high in the Northwest, Southwest and middle and lower reaches of Yangtze River after 2031. Under B2 scenario, the reduction of 5.3% in the Northeast in 2031-2040 would be the greatest across all regions. Other regions with considerable maize yield reduction would be mainly in the Northwest and the Southwest. Reduction in maize yield in North China would be small, generally within 2%, under any scenarios, and that in South China would be almost unchanged. The reduction of maize yield in most regions would be greater under A2 scenario than under B2 scenario except for the period of 2021-2030. The effect of the ten day precipitation on maize yield in northern China would be almost positive. However, the effect of ten day average temperature on yield of maize in all regions would be generally negative. The main reason of maize yield reduction was temperature increase in most provinces but precipitation decrease in a few provinces. Assessments of the future change of maize yield in China based on the different methods were not consistent. Further evaluation needs to consider the change of maize variety and scientific and technological progress, and to enhance the reliability of evaluation models.
气候变化将对中国农业生产产生重大影响。积分回归模型与最新气候预测相结合,有望评估未来气候变化对作物产量的影响。本文首先运用积分回归方法,针对中国不同省份建立了玉米产量与气象因子的相关模型,然后结合最新气候预测,对未来40年气候变化对中国玉米生产的影响进行评估,并分析其原因。结果表明,如果当前玉米品种改良和科技发展速度保持不变,未来40年中国玉米产量总体上随时间呈下降趋势,降幅一般在5%以内。在A2气候变化情景下,除2021 - 2030年外,玉米产量降幅最大的地区是东北地区,降幅一般在2.3% - 4.2%。2031年后,西北地区、西南地区以及长江中下游地区玉米产量降幅也较大。在B2情景下,2031 - 2040年东北地区5.3%的降幅在所有地区中最大。其他玉米产量降幅较大的地区主要在西北地区和西南地区。在任何情景下,华北地区玉米产量降幅较小,一般在2%以内,华南地区玉米产量几乎不变。除2021 - 2030年外,多数地区玉米产量在A2情景下的降幅大于B2情景。北方地区旬降水量对玉米产量的影响总体呈正向。然而,旬平均气温对各地玉米产量的影响总体呈负向。多数省份玉米产量下降的主要原因是气温升高,但少数省份是降水减少。基于不同方法对中国玉米产量未来变化的评估并不一致。进一步评估需要考虑玉米品种变化和科技进步,并提高评估模型的可靠性。