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北部冬麦区冬小麦越冬冻害时空变化特征
引用本文:孟繁圆,冯利平,张丰瑶,张祎,伍露,王春雷,闫锦涛,彭明喜,莫志鸿,余卫东.北部冬麦区冬小麦越冬冻害时空变化特征[J].作物学报,2019,45(10):1576-1585.
作者姓名:孟繁圆  冯利平  张丰瑶  张祎  伍露  王春雷  闫锦涛  彭明喜  莫志鸿  余卫东
作者单位:中国农业大学资源与环境学院;中国气象科学研究院;中粮贸易有限公司;河南省气象科学研究所
基金项目:This study was supported by the National Key Research and Development Program of China(2016YFD0300201-6);the National Natural Science Foundation of China(31371528)
摘    要:利用我国北部冬麦区43个气象站点1951—2014年气象资料,综合考虑越冬期最大降温幅度、极端最低气温、负积温、平均气温、降水和风速等冬小麦越冬冻害致灾因子,采用主成分法构建冬小麦冻害指数(FII),FII值越大,冬小麦遭受冻害越严重。结合历史冻害灾情资料,验证冻害指数在研究区域的适应性。采用M-K方法分析冬小麦冻害的突变特征,探究北部冬麦区越冬冻害的时空分布特征。结果表明,FII能较好地反映北部冬麦区冬小麦冻害情况。近60年北部冬麦区冬小麦冻害指数的年际变化均呈显著下降趋势。1980年前后冻害指数发生突变,气候变暖后我国北部冬麦区冬小麦冻害发生的频率、程度和范围明显减少;而由于气候变化的不稳定性增加,自2000年以来,冬小麦中度到重度冻害有所增加。冻害指数的空间分布总体呈现随着纬度和海拔高度的增加而加重的趋势。燕太山麓平原副区遭受冻害最为严重,黄土高原沟壑副区和晋冀山地盆地副区遭受冻害较轻。

收稿时间:2018-10-17

Temporal and spatial variations of winter wheat freezing injury in northern winter wheat region
MENG Fan-Yuan,FENG Li-Ping,ZHANG Feng-Yao,ZHANG Yi,WU Lu,WANG Chun-Lei,YAN Jin-Tao,PENG Ming-Xi,MO Zhi-Hong,YU Wei-Dong.Temporal and spatial variations of winter wheat freezing injury in northern winter wheat region[J].Acta Agronomica Sinica,2019,45(10):1576-1585.
Authors:MENG Fan-Yuan  FENG Li-Ping  ZHANG Feng-Yao  ZHANG Yi  WU Lu  WANG Chun-Lei  YAN Jin-Tao  PENG Ming-Xi  MO Zhi-Hong  YU Wei-Dong
Institution:1.College of Resources & Environmental Sciences, China Agriculture University, Beijing 100193, China;2.Chinese Academy of Meteorological Sciences, Beijing 100081;3.COFCO Trading Co. Ltd., Beijing 100005, China;4.China Henan Institute of Meteorological Sciences, Zhengzhou 450003, Henan, China
Abstract:Base on daily meteorological data of 43 observation stations across northern China from 1951 to 2014, we calculated the freezing injury factors including maximum scale of drop in temperature, extreme minimum temperature, negative accumulated temperature, mean temperature, precipitation and wind speed during over-wintering stage. The freeze injury index (FII) of winter wheat was established by considering the freezing injury factors with principal component analysis. The greater the FII was, the more severe the freeze injury would occur. The Mann-Kendall method was used to analyze the mutation characteristics of FII, and explore the spatial-temporal distribution of freeze injury to winter wheat. The historical freeze injury of winter wheat could be actually reflected by the FII. The FII had a sudden change around 1980, which indicted the frequency and extent of winter wheat freezing injury in this region decreased significantly after climate warming. But due to the increasing of climate instability, the moderate to severe levels of freeze injury have increased since 2000. The annual FII had a declined trend significantly in the past 60 years, which was aggravated with increasing latitude and altitude in spatial distribution. The FII was high in Yan-Taihang Mountains and basin region relative to other two regions.
Keywords:winter wheat  overwintering stage  freeze injury index (FII)  the Northern winter wheat region  spatial and temporal distribution characteristics  climate warming  
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