globalchange  > 气候变化事实与影响
CSCD记录号: CSCD:6482305
论文题名:
农作物自然灾害暴露研究进展
其他题名: Review on Crop Exposure of Natural Disasters
作者: 王然1; 江耀1; 张安宇1; 高原1; 王静爱2
刊名: 灾害学
ISSN: 1000-811X
出版年: 2019
卷: 34, 期:2, 页码:958-967
语种: 中文
中文关键词: 农作物 ; 自然灾害暴露 ; 种植范围 ; 作物产量 ; 经济价值 ; 时空维度
英文关键词: crop ; exposure of natural disaster ; plant range ; crop yield ; economic value ; space-time dimension
WOS学科分类: ENVIRONMENTAL SCIENCES
WOS研究方向: Environmental Sciences & Ecology
中文摘要: 随着气候变化与全球变化进程,未来农作物自然灾害损失风险不断加剧,给全球粮食安全带来极大威胁,评估农作物损失成为灾害风险研究关注的热点问题。目前暴露对风险的贡献已然超过气候变化的影响,导致在损失评估过程中如何进行农作物暴露的刻画与衡量显得尤为重要。该文综合国内外现有研究,首先梳理了不同视角下的农作物暴露定义,认为暴露需要以时空维度去理解,能够体现出其对灾情的放大或缩小影响;其次,总结了农作物暴露的三种空间维度指标与相应时间维度指标;最后,归纳了农作物种植范围、产量、经济价值以及时间维指标的常用计算方法与模型,以期能够更加系统、全面地理解暴露,满足灾害系统复杂性研究需求,为风险定量评价提供科学支持。
英文摘要: With the process of climate change and global change,the risk of future crop losses caused by natural disasters is increasing,which poses a great threat to global food security. The assessment of crop losses has become a hot issue in disaster risk research. The current contribution of exposure to risk has exceeded climate change 's influence,which makes it particularly important to describe and measure crop exposure in its loss risk assessment. This paper firstly focuses on the definition of crop exposure from different perspectives,and it is believed that the exposure needs to be understood by space and time dimension,which can reflect its amplification or reduction effect on disaster losses. Secondly,three kinds of spatial dimension indicators and the corresponding time dimension indicators of crop exposure are summarized. Finally,it sums up the calculation methods and models of crop range,yield,economic value and time dimension indicators,to understand the exposure connotation more systematically and comprehensively,meet the needs of disaster system complexity research and provide scientific support for quantitative risk assessment.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/156289
Appears in Collections:气候变化事实与影响

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作者单位: 1.北京师范大学地理科学学部
2.北京师范大学地理学院区域地理实验室,
3.,
4., 北京
5.北京 100875
6.100875, 中国
7.北京师范大学地理科学学部
8.北京师范大学地理学院区域地理实验室
9.北京师范大学,
10.环境演变与自然灾害教育部重点实验室,
11., 北京
12.北京
13.北京 100875
14.100875
15.100875, 中国

Recommended Citation:
王然,江耀,张安宇,等. 农作物自然灾害暴露研究进展[J]. 灾害学,2019-01-01,34(2):958-967
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