globalchange  > 气候变化事实与影响
DOI: 10.1007/s11069-019-03605-4
WOS记录号: WOS:000475705400010
论文题名:
Identifying climate risk causing maize (Zea mays L.) yield fluctuation by time-series data
作者: Ji, Yuhe1; Zhou, Guangsheng1; Wang, Lixia2; Wang, Shudong3; Li, Zongshan4
通讯作者: Zhou, Guangsheng
刊名: NATURAL HAZARDS
ISSN: 0921-030X
EISSN: 1573-0840
出版年: 2019
卷: 96, 期:3, 页码:1213-1222
语种: 英语
英文关键词: Climate risk ; Grain crop ; Maize yield ; High temperature ; Precipitation ; Trend base line method
WOS关键词: LONG-TERM ; CHINA ; TEMPERATURE ; DISASTER ; IMPACTS ; TRENDS ; PLAIN
WOS学科分类: Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS研究方向: Geology ; Meteorology & Atmospheric Sciences ; Water Resources
英文摘要:

A long time series in crop yield is usually expressed as a long-term trend and a short-term fluctuation due to agricultural technological advance and climatic anomaly. The real climate risk is related to the short-term fluctuation in crop yield. In the paper, the climate risk of maize yield response to long-term climate variables is tested with the long time series (1961-2015) by a trend base line method. The long time series of maize yield is divided into short-term fluctuating meteorological yield and long-term trend yield. The long time series of climate variables are also divided into fluctuating variables and trend variables. After that, Pearson correlation analysis between fluctuating maize yield and fluctuating climate variables is used to identify risk factor causing maize yield fluctuation. Our results reveal that the main risk factors are night-time precipitation and extreme high temperature in growing season. Comparing climate risks in maize-producing provinces, much more climate risks are identified in some regions such as Liaoning province. The results provide useful information for reducing maize yield loss under climatic change.


Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/133065
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: 1.Chinese Acad Meteorol Sci, State Key Lab Severe Weather LASW, Beijing 100081, Peoples R China
2.Minist Ecol & Environm Peoples Republ China, Satellite Environm Ctr, Beijing 100094, Peoples R China
3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
4.Chinese Acad Sci, State Key Lab Urban & Reg Ecol, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China

Recommended Citation:
Ji, Yuhe,Zhou, Guangsheng,Wang, Lixia,et al. Identifying climate risk causing maize (Zea mays L.) yield fluctuation by time-series data[J]. NATURAL HAZARDS,2019-01-01,96(3):1213-1222
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Ji, Yuhe]'s Articles
[Zhou, Guangsheng]'s Articles
[Wang, Lixia]'s Articles
百度学术
Similar articles in Baidu Scholar
[Ji, Yuhe]'s Articles
[Zhou, Guangsheng]'s Articles
[Wang, Lixia]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Ji, Yuhe]‘s Articles
[Zhou, Guangsheng]‘s Articles
[Wang, Lixia]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.