Phenology forcing model to estimate phenology shifting ability of extreme environmental events
文献类型:期刊论文
作者 | Ahmad, Aqeel1,2; Liu, Yujie1,2 |
刊名 | FRONTIERS IN PLANT SCIENCE
![]() |
出版日期 | 2022-09-08 |
卷号 | 13页码:9 |
关键词 | agriculture policy climate change crop modeling maize phenophase shifts extreme environment |
ISSN号 | 1664-462X |
DOI | 10.3389/fpls.2022.961335 |
通讯作者 | Liu, Yujie(liuyujie@igsnrr.ac.cn) |
英文摘要 | The current study considered the climate extreme index (CEI) values originated from extreme environmental events (EEEs) by following the National Oceanic and Atmospheric Administration (NOAA) guidelines. The EEEs were fractionated into six sub-categories (i.e., high temperature, low temperature, high precipitation, low precipitation, drought, and wind), and the combined impact of CEIs was utilized to develop an algorithm for the estimation of the phenology sensitivity index (P-Si). Finally, the CEIs, and the P-Si were undergone the development of the phenology forcing (P-F) model. The developed model showed a high sensitivity at the CEI value of as low as >= 1.0. Furthermore, the uncertainty index varied between 0.03 and 0.07, making a parabolic curvature at increasing CEIs (1.0-15.0). The current study precisely estimates the tendency of EEEs for phenology change. It will assist in policy-making and planning crop cultivation plans for achieving sustainable development goal 2 (SDG2) of the Food and Agriculture Organization (FAO). |
WOS关键词 | CLIMATE-CHANGE ; RESISTANCE ; INFECTION |
资助项目 | National Science Fund for Excellent Young Scholars[42122003] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA28060200] ; Youth Innovation Promotion Association, Chinese Academy of Sciences[Y202016] |
WOS研究方向 | Plant Sciences |
语种 | 英语 |
WOS记录号 | WOS:000857204800001 |
出版者 | FRONTIERS MEDIA SA |
资助机构 | National Science Fund for Excellent Young Scholars ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Youth Innovation Promotion Association, Chinese Academy of Sciences |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/184669] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Liu, Yujie |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China 2.Univ Chinese Acad Sci UCAS, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Ahmad, Aqeel,Liu, Yujie. Phenology forcing model to estimate phenology shifting ability of extreme environmental events[J]. FRONTIERS IN PLANT SCIENCE,2022,13:9. |
APA | Ahmad, Aqeel,&Liu, Yujie.(2022).Phenology forcing model to estimate phenology shifting ability of extreme environmental events.FRONTIERS IN PLANT SCIENCE,13,9. |
MLA | Ahmad, Aqeel,et al."Phenology forcing model to estimate phenology shifting ability of extreme environmental events".FRONTIERS IN PLANT SCIENCE 13(2022):9. |
入库方式: OAI收割
来源:地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。