Yield Response of Spring Maize under Future Climate and the Effects of Adaptation Measures in Northeast China

被引:9
作者
Koimbori, Jackson K. [1 ]
Wang, Shuai [2 ]
Pan, Jie [1 ]
Guo, Liping [1 ]
Li, Kuo [1 ]
机构
[1] Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Key Lab Agroenvironm, Minist Agr & Rural Affairs, Beijing 100081, Peoples R China
[2] Shenyang Agr Univ, Coll Land & Environm, Shenyang 110866, Peoples R China
来源
PLANTS-BASEL | 2022年 / 11卷 / 13期
基金
国家重点研发计划;
关键词
climate change; CERES-Maize model; climate scenarios; maize yields; adaptation measures; USE EFFICIENCY; SOWING DATE; IMPACTS; DYNAMICS; HYBRIDS; CROPS; MODEL; PLAIN; RISK;
D O I
10.3390/plants11131634
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Agriculture production has been found to be the most sensitive sector to climate change. Northeast China (NEC) is one of the world's major regions for spring maize production and it has been affected by climate change due to increases in temperature and decreases in sunshine hours and precipitation levels over the past few decades. In this study, the CERES-Maize model-v4.7 was adopted to assess the impact of future climatic change on the yield of spring maize in NEC and the effect of adaptation measures in two future periods, the 2030s (2021 to 2040) and the 2050s (2041 to 2060) relative to the baseline (1986 to 2005) under RCP4.5 and RCP8.5 scenarios. The results showed that increased temperatures and the decreases in both the precipitation level and sunshine hours in the NEC at six representative sites in the 2030s and 2050s periods based on RCP4.5 and RCP8.5 climate scenarios would shorten the maize growth durations by (1-38 days) and this would result in a reduction in maize yield by (2.5-26.4%). Adaptation measures, including altered planting date, supplemental irrigation and use of cultivars with longer growth periods could offset some negative impacts of yield decrease in maize. For high-temperature-sensitive cultivars, the adoption of early planting, cultivar change and adding irrigation practices could lead to an increase in maize yield by 23.7-43.6% and these measures were shown to be effective adaptation options towards reducing yield loss from climate change. The simulation results exhibited the effective contribution of appropriate adaptation measures in eliminating the negative impact of future climate change on maize yield.
引用
收藏
页数:25
相关论文
共 35 条
[1]  
Angstrom A.S., 1924, Solar and Terrestrial Radiation Meteorological Society, V50, P121, DOI [10.1002/qj.49705021008, DOI 10.1002/QJ.49705021008]
[2]   Modern maize hybrids in Northeast China exhibit increased yield potential and resource use efficiency despite adverse climate change [J].
Chen, Xiaochao ;
Chen, Fanjun ;
Chen, Yanling ;
Gao, Qiang ;
Yang, Xiaoli ;
Yuan, Lixing ;
Zhang, Fusuo ;
Mi, Guohua .
GLOBAL CHANGE BIOLOGY, 2013, 19 (03) :923-936
[3]   Climate change impact on agricultural crops and adaptation options in Romania [J].
Cuculeanu, V ;
Marica, A ;
Simota, C .
CLIMATE RESEARCH, 1999, 12 (2-3) :153-160
[4]   Global sensitivity and uncertainty analysis of a dynamic agroecosystem model under different irrigation treatments [J].
DeJonge, Kendall C. ;
Ascough, James C., II ;
Ahmadi, Mehdi ;
Andales, Allan A. ;
Arabi, Mazdak .
ECOLOGICAL MODELLING, 2012, 231 :113-125
[5]   Changes of Soil Microbes Related with Carbon and Nitrogen Cycling after Long-Term CO2 Enrichment in a Typical Chinese Maize Field [J].
Diao, Tiantian ;
Peng, Zhengping ;
Niu, Xiaoguang ;
Yang, Rongquan ;
Ma, Fen ;
Guo, Liping .
SUSTAINABILITY, 2020, 12 (03)
[6]  
Gatelli D., 2008, GLOBAL SENSITIVITY A
[7]   Enhancement of no-tillage, crop straw return and manure application on field organic matter content overweigh the adverse effects of climate change in the arid and semi-arid Northwest China [J].
Hao, Xingyu ;
He, Wei ;
Lam, Shu Kee ;
Li, Ping ;
Zong, Yuzheng ;
Zhang, Dongsheng ;
Li, Frank Yonghong .
AGRICULTURAL AND FOREST METEOROLOGY, 2020, 295
[8]   Influence of likelihood function choice for estimating crop model parameters using the generalized likelihood uncertainty estimation method [J].
He, Jianqiang ;
Jones, James W. ;
Graham, Wendy D. ;
Dukes, Michael D. .
AGRICULTURAL SYSTEMS, 2010, 103 (05) :256-264
[9]   Risk assessment of maize drought disaster in southwest China using the Environmental Policy Integrated Climate model [J].
Jia Hui-cong ;
Pan Dong-hua ;
Li Jing ;
Zhang Wan-chang ;
Rasul, Ghulam .
JOURNAL OF MOUNTAIN SCIENCE, 2016, 13 (03) :465-475
[10]  
Kuo W., 2016, THESIS SHANDONG AGR