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气候变化下干旱对中国玉米产量的影响
引用本文:徐昆,朱秀芳,刘莹,郭锐,陈令仪.气候变化下干旱对中国玉米产量的影响[J].农业工程学报,2020,36(11):149-158.
作者姓名:徐昆  朱秀芳  刘莹  郭锐  陈令仪
作者单位:北京师范大学环境演变与自然灾害教育部重点实验室,北京 100875;北京师范大学地表过程与资源生态学国家重点实验室,北京 100875;北京师范大学地理科学学部遥感科学与工程研究院,北京 100875;北京师范大学环境演变与自然灾害教育部重点实验室,北京 100875;北京师范大学地理科学学部遥感科学与工程研究院,北京 100875;北京师范大学地理科学学部遥感科学与工程研究院,北京 100875
基金项目:国家重点研发计划资助(2019YFAO606900);国家自然科学基金青年基金项目(41401479)
摘    要:了解干旱的时空变化特征及其对农业生产的影响对于维护农业可持续发展具有重要意义。该研究以中国五大主要玉米种植区中241个地级行政单元作为研究对象,采用AquaCrop作物模型分别对rcp2.6、rcp4.5、rcp8.5,3种代表性浓度路径情景中玉米在不同灌溉条件下的受到的水分胁迫及相应产量进行模拟,在此基础上通过建立回归模型评估干旱强度对玉米产量损失的影响。结果表明,1)未来中国的干旱强度分布及玉米产量损失在空间上均呈现由西北至东南递减的趋势;2)未来时期全国大部分地区干旱水平相比于历史时期有所上升;3)玉米干旱损失率随干旱指数的变化特征符合Logistic曲线,回归结果的R2为0.96。4)未来北方春播玉米区和黄淮海夏播玉米区的玉米产量对干旱强度反应最敏感,应当引起格外重视。

关 键 词:干旱  气候变化  产量损失  AquaCrop模型  玉米
收稿时间:2020/3/5 0:00:00
修稿时间:2020/4/20 0:00:00

Effects of drought on maize yield under climate change in China
Xu Kun,Zhu Xiufang,Liu Ying,Guo Rui,Chen Lingyi.Effects of drought on maize yield under climate change in China[J].Transactions of the Chinese Society of Agricultural Engineering,2020,36(11):149-158.
Authors:Xu Kun  Zhu Xiufang  Liu Ying  Guo Rui  Chen Lingyi
Institution:1.Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China; 2. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China; 3.Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;1.Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China;3.Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Abstract:Since more frequent and severe droughts will occur in China under the background of global climate change in the future,understanding temporal and spatial characteristics of drought and its potential impacts on agricultural production are especially significant for ensuring agricultural sustainability and national food security.In this study,we selected 241 prefecture-level units as the study area in 5 main maize planting regions of China:the northern spring-maize region,the Huang-Huai-Hai summer-maize region,the southwest mountain-hilly maize region,the south hilly maize region and the northwest irrigated maize region.Based on the AquaCrop crop growth model,we simulated the historical crop water stress and corresponding maize yield during the historical period(1980-1999)using ERA-Interim Daily dataset from European Centre for Medium-Range Weather Forecasts and CN05.1 dataset from Laboratory for Climate Studies,China Meteorological Administration,and simulated the future crop water stress and corresponding maize yield for two future periods:Mid-21st Century(2030-2049)and End-21^st Century(2080-2099)under 3 representative concentration paths(rcp2.6,rcp4.5 and rcp8.5)using meteorological data from 5 global coupled models in Phase 5 of Coupled Model Inter-comparison Project(CMIP5).Based on the AquaCrop model’s irrigation management function,we set up 2 irrigation scenarios in each simulation:rain-fed and complete irrigation.We defined drought hazard index as the daily average value of crop water stress indicator under the rain-fed scenario to indicate drought intensity and defined the drought loss as the difference between the crop yield under the rain-fed scenario and the complete irrigation scenario to indicate the loss intensity.Then,the change of historical and future drought intensity was compared and analyzed,and the yield loss rate under different climate scenarios in the future was discussed.After that,a regression model was created to evaluate the effect of drought intensity on yield loss on that basis.The results showed that:1)In terms of spatial distribution,both drought intensity and maize yield loss in China were decreasing from northwest to southeast in the future under all representative concentration paths.The northwest irrigated maize region had the largest drought intensity and crop yield loss,followed by the northern spring-maize region,the Huang-Huai-Hai summer-maize region,the south hilly maize region and the southwest mountain-hilly maize region.2)Except for a slight decrease in the southwest mountain-hilly maize region,China’s drought intensity in the future would increase in general compared with the historical period,especially under rcp4.5 and rcp8.5 scenarios.Among the 4 maize regions,the increased rate of drought intensity was the largest in the south hilly maize region,followed by the Huang-Huai-Hai summer-maize region,the northern spring-maize region,and the northwest irrigated maize region.3)The effect of drought intensity on yield loss in all rcp scenarios could be described well by a logistic curve,the R2 of the regression result was 0.96.The logistic curve showed that the yield loss rate of maize began to increase rapidly when the drought hazard index reaches around 0.2 and it approached the maximum value when the drought hazard index was near 0.6.4)Drought would be most serious in Northwest China in the future,and its corresponding maize yield was estimated to more than 90%on average without irrigation.The drought hazard index of the northern spring-maize region and Huang-Huai-Hai summer-maize region were mostly in the middle of the“S”shape curve,where the slope of the curve was largest.Thus,the benefits of irrigation in these two regions would be the highest with the most sensitive response of yield loss to drought intensity.Besides,considering the maize production was also the highest in these two regions,adequate water should be provided for agricultural irrigation.The results of this study would provide an important reference for the development of regional agricultural drought adaptation strategy and have certain guiding significance for planning and reducing the potential negative impact of drought on agricultural production.
Keywords:drought  climate change  yield loss  AquaCrop model  maize
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