Impact of climate change on maize yield in China from 1979 to 2016

被引:84
作者
Wu Jian-zhai [1 ]
Zhang Jing [1 ]
Ge Zhang-ming [1 ]
Xing Li-wei [1 ]
Han Shu-qing [1 ]
Shen Chen [1 ]
Kong Fan-tao [2 ]
机构
[1] Chinese Acad Agr Sci, Agr Informat Inst, Key Lab Agr Big Data, Minist Agr & Rural Affairs, Beijing 100081, Peoples R China
[2] Chinese Acad Agr Sci, Inst Special Anim & Plant Sci, Jilin 130112, Jilin, Peoples R China
基金
中国国家自然科学基金;
关键词
climate change; maize yield; FGLS model; China; STATISTICAL-MODELS; AFRICAN MAIZE; FOOD SECURITY; WHEAT YIELD; CROP; PRODUCTIVITY; TEMPERATURE; VARIABILITY; HEAT;
D O I
10.1016/S2095-3119(20)63244-0
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Climate change severely impacts agricultural production, which jeopardizes food security. China is the second largest maize producer in the world and also the largest consumer of maize. Analyzing the impact of climate change on maize yields can provide effective guidance to national and international economics and politics. Panel models are unable to determine the group-wise heteroscedasticity, cross-sectional correlation and autocorrelation of datasets, therefore we adopted the feasible generalized least square (FGLS) model to evaluate the impact of climate change on maize yields in China from 1979-2016 and got the following results: (1) During the 1979-2016 period, increases in temperature negatively impacted the maize yield of China. For every 1 degrees C increase in temperature, the maize yield was reduced by 5.19 kg 667 m(-2) (1.7%). Precipitation increased only marginally during this time, and therefore its impact on the maize yield was negligible. For every 1 mm increase in precipitation, the maize yield increased by an insignificant amount of 0.043 kg 667 m(-2) (0.014%). (2) The impacts of climate change on maize yield differ spatially, with more significant impacts experienced in southern China. In this region, a 1 degrees C increase in temperature resulted in a 7.49 kg 667 m(-2) decrease in the maize yield, while the impact of temperature on the maize yield in northern China was insignificant. For every 1 mm increase in precipitation, the maize yield increased by 0.013 kg 667 m(-2) in southern China and 0.066 kg 667 m(-2) in northern China. (3) The resilience of the maize crop to climate change is strong. The marginal effect of temperature in both southern and northern China during the 1990-2016 period was smaller than that for the 1979-2016 period.
引用
收藏
页码:289 / 299
页数:11
相关论文
共 52 条
[1]   How do inputs and weather drive wheat yield volatility? The example of Germany [J].
Albers, Hakon ;
Gornott, Christoph ;
Huettel, Silke .
FOOD POLICY, 2017, 70 :50-61
[2]  
[Anonymous], 2018, ONL STAT DAT TRAD
[3]  
[Anonymous], 2010, J INTEGRATIVE AGR, V13, P1501
[4]  
BECK N, 1995, AM POLIT SCI REV, V89, P634, DOI 10.2307/2082979
[5]  
Butler EE, 2013, NAT CLIM CHANGE, V3, P68, DOI [10.1038/nclimate1585, 10.1038/NCLIMATE1585]
[6]   Impact of meteorological drivers on regional inter-annual crop yield variability in France [J].
Ceglar, Andrej ;
Toreti, Andrea ;
Lecerf, Remi ;
Van der Velde, Marijn ;
Dentener, Frank .
AGRICULTURAL AND FOREST METEOROLOGY, 2016, 216 :58-67
[7]   Will higher minimum temperatures increase corn production in Northeast China? An analysis of historical data over 1965-2008 [J].
Chen, Changqing ;
Lei, Chengxia ;
Deng, Aixing ;
Qian, Chunrong ;
Hoogmoed, Willem ;
Zhang, Weijian .
AGRICULTURAL AND FOREST METEOROLOGY, 2011, 151 (12) :1580-1588
[8]   Impacts of climate change on agriculture: Evidence from China [J].
Chen, Shuai ;
Chen, Xiaoguang ;
Xu, Jintao .
JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT, 2016, 76 :105-124
[9]   The effects of projected climate change and extreme climate on maize and rice in the Yangtze River Basin, China [J].
Chen, Xinxin ;
Wang, Lunche ;
Niu, Zigeng ;
Zhang, Ming ;
Li, Chang'an ;
Li, Jiarui .
AGRICULTURAL AND FOREST METEOROLOGY, 2020, 282
[10]   An assessment of climate change impacts on maize yields in Hebei Province of China [J].
Chen, Yongfu ;
Han, Xinru ;
Si, Wei ;
Wu, Zhigang ;
Chien, Hsiaoping ;
Okamoto, Katsuo .
SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 581 :507-517