globalchange  > 气候变化事实与影响
CSCD记录号: CSCD:5971798
论文题名:
小麦白粉病气候变化响应及动态预警
其他题名: Powdery mildew response of wheat to climate change and its dynamic prewarning
作者: 张蕾; 郭安红; 李森
刊名: 自然灾害学报
ISSN: 1004-4574
出版年: 2017
卷: 26, 期:1, 页码:49-54
语种: 中文
中文关键词: 华北 ; 黄淮地区 ; 小麦白粉病 ; 气候响应 ; 动态预警
英文关键词: Bayes ; north China ; Huanghuai area ; wheat powdery mildew ; climatic response ; Bayes criterion ; dynam- icprewaming
WOS学科分类: AGRICULTURE MULTIDISCIPLINARY
WOS研究方向: Agriculture
中文摘要: 小麦白粉病是危害我国小麦生产的主要病害之一,华北黄淮地区作为冬小麦主产区,其小麦白粉病趋于加重。及时准确地进行白粉病的监测预警对采取有效防治措施、保护小麦安全生产有重大意义。基于北京市、天津市、河北省、山东省、山西省和河南省的小麦白粉病发生情况和气候特点,本研究量化了小麦白粉病对气候变化的响应水平,利用Bayes准则客观确定了小麦白粉病发生的等级阈值,考虑小麦生长前期和关键期的气象条件,提出了相应的评估模型。研究结果表明,所提模型完全一致的准确率为50% ~90%,基本一致的准确率达7% ~100%,能实时根据气象条件及时进行预警指导病害防治。
英文摘要: Wheat powdery mildew is one of main disease damaging wheat production in China. As a main wheat production area North China and Huanghuai Region has a aggravating trend of wheat powdery mildew. Timely and accrate monitoring and prewarning of the powdery mildew has an important meaning to effective prevention of the powdery mildew and safety production of wheat. Based on wheat powdery mildew happening situation and chimatic feature of Beijing, Tianjin Municipalities and Hebei,Shandong,Shanxi and Henan Provinces,this paper quantizes response level of wheat powdery mildew to climate change, uses Bayes criterion to determine objectively happening grade threshold,considers the meteorological condition of wheat in growth period and key period,and finally presents corresponding assessment model. Research results show that the degree of accuracy being eomplete consistancy is 50%-90%,the degree of accuracy being basic consistancy is 85.7%-100%. The model may pre-warn and gride wheat powdery mildew prevention and control.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/153669
Appears in Collections:气候变化事实与影响

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作者单位: 国家气象中心, 北京 100081, 中国

Recommended Citation:
张蕾,郭安红,李森. 小麦白粉病气候变化响应及动态预警[J]. 自然灾害学报,2017-01-01,26(1):49-54
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