Future Projection for Climate Suitability of Summer Maize in the North China Plain

被引:10
|
作者
Zhao, Yanxi [1 ,2 ,3 ]
Xiao, Dengpan [1 ,2 ,3 ]
Bai, Huizi [3 ]
Tang, Jianzhao [1 ,3 ]
Liu, Deli [4 ]
机构
[1] Hebei Normal Univ, Coll Geog Sci, Shijiazhuang 050024, Hebei, Peoples R China
[2] Hebei Lab Environm Evolut & Ecol Construct, Shijiazhuang 050024, Hebei, Peoples R China
[3] Hebei Acad Sci, Engn Technol Res Ctr, Inst Geog Sci, Geog Informat Dev & Applicat Hebei, Shijiazhuang 050011, Hebei, Peoples R China
[4] Wagga Wagga Agr Inst, NSW Dept Primary Ind, Wagga Wagga, NSW 2650, Australia
来源
AGRICULTURE-BASEL | 2022年 / 12卷 / 03期
基金
中国国家自然科学基金;
关键词
adaptation; climate change; summer maize; phenology shift; GCM; MULTIMODEL ENSEMBLE; CHANGE IMPACT; SPRING MAIZE; 3; DECADES; YIELD; MODEL; TEMPERATURE; CULTIVATION; APSIM; WHEAT;
D O I
10.3390/agriculture12030348
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Climate change has and will continue to exert significant effects on social economy, natural environment, and human life. Research on the climatic suitability of crops is critical for mitigating and adapting to the negative impacts of climate change on crop production. In the study, we developed the climate suitability model of maize and investigated the climate suitability of summer maize during the base period (1981-2010) and two future periods of 2031-2060 (2040s) and 2071-2100 (2080s) in the North China Plain (NCP) based on BCC-CSM2-MR model (BCC) from the Coupled Model Comparison Program (CMIP6) under two Shared Socioeconomic Pathways (SSP) 245 and SSP585. The phenological shift of maize under future climate scenarios was simulated by the Agricultural Production Systems Simulator (APSIM). The results showed that the root mean square errors (RMSE) between observations and projections for sunshine suitability (S-S), temperature suitability (S-T), precipitation suitability (S-P), and integrated climate suitability (S-Z) during the whole growth period were 0.069, 0.072, 0.057, and 0.040, respectively. Overall, the BCC projections for climate suitability were in suitable consistency with the observations in the NCP. During 1981-2010, the S-P, S-T and S-Z were high in the north of the NCP and low in the south. The S-P, S-T and S-Z showed a downward trend under all the future climate scenarios in most areas of NCP while the S-S increased. Therein, the change range of S-P and S-S was 0-0.1 under all the future climate scenarios. The S-T declined by 0.1-0.2 in the future except for the decrease of more than 0.3 under the SSP585 scenario in the 2080s. The decrease in S-Z in the 2040s and 2080s under both SSP scenarios varied from 0 to 0.2. Moreover, the optimum area decreases greatly under future scenarios while the suitable area increases significantly. Adjusting sowing data (SD) would have essential impacts on climate suitability. To some extent, delaying SD was beneficial to improve the climate suitability of summer maize in the NCP, especially under the SSP585 scenario in the 2080s. Our findings can not only provide data support for summer maize production to adapt to climate change but also help to propose agricultural management measures to cope with future climate change.
引用
收藏
页数:20
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