干旱区生态环境知识资源中心(Arid): Monitoring responses of vegetation phenology and productivity to extreme climatic conditions using remote sensing across different sub-regions of China

Arid

DOI	10.1007/s11356-020-10769-1
	Monitoring responses of vegetation phenology and productivity to extreme climatic conditions using remote sensing across different sub-regions of China
	Javed, Tehseen; Li, Yi; Feng, Kai; Ayantobo, Olusola O.; Ahmad, Shakeel; Chen, Xinguo; Rashid, Sadaf; Suon, Sovannaka
通讯作者	Li, Y
来源期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN	0944-1344
EISSN	1614-7499
英文摘要	Drought is a major natural disaster that significantly impacts the susceptibility and flexibility of the ecosystem by changing vegetation phenology and productivity. This study aimed to investigate the impact of extreme climatic variation on vegetation phenology and productivity over the four sub-regions of China from 2000 to 2017. Daily rain gauge precipitation and air temperature datasets were used to estimate the trends, and to compute the standardized precipitation-evapotranspiration index (SPEI). Remote sensing-based Enhanced Vegetation Index (EVI) data from a moderate resolution imaging spectroradiometer (MODIS) was used to characterize vegetation phenology. The results revealed that (1) air temperature had significant increasing trends (P< 0.05) in all sub-regions. Precipitation showed a non-significant increasing trend in Northwest China (NWC) and insignificant decreasing trends in North China (NC), Qinghai Tibet area (QTA), and South China (SC). (2) Integrated enhanced vegetation index (iEVI) and SPEI variations depicted that 2011 and 2016 were the extremely driest and wettest years during 2000-2017. (3) Rapid changes were observed in the vegetation phenology and productivity between 2011 and 2016. In 2011, changes in the vegetation phenology with the length of the growing season (Delta LGS) = was - 14 +/- 36 days. In 2016, the overall net effect changed at the onset and end of the growing season with Delta LGS of 34 +/- 71 days. The change in iEVI per SPEI increased rapidly with a changing rate of 0.16 from arid (NWC, and QTA) to semi-arid (NWC, QTA and NC) and declined with a rate of - 0.04 from semi-humid (QTA, NC, and SC) to humid (SC) region. A higher association was observed between iEVI and SPEI as compared to iEVI and precipitation. Our finding exposed that north China is more sensitive to climatic variation.
英文关键词	Vegetation phenology Climate conditions Remote sensing Integrated enhanced vegetation index Sensitivity
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000569300300006
WOS关键词	DROUGHT EVOLUTION ; LOESS PLATEAU ; GREEN-UP ; PRECIPITATION ; ECOSYSTEM ; RESILIENCE ; IMPACTS ; NDVI ; TEMPERATURE ; SENSITIVITY
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	西北农林科技大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/328245
作者单位	[Javed, Tehseen; Li, Yi; Feng, Kai; Chen, Xinguo; Suon, Sovannaka] Northwest A&F Univ, Coll Water Resources & Architecture Engn, Yangling 712100, Shaanxi, Peoples R China; [Javed, Tehseen; Li, Yi; Ahmad, Shakeel] Northwest A&F Univ, Minist Educ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Yangling 712100, Shaanxi, Peoples R China; [Ayantobo, Olusola O.] Fed Univ Agr, Dept Water Resources Management & Agr Meteorol, Abeokuta Pmb 2240, Nigeria; [Ahmad, Shakeel] Northwest Agr & Forestry Univ, Coll Agron, Minist Agr, Key Lab Physioecol & Tillage Loess Plateau, Yangling 712100, Shaanxi, Peoples R China; [Rashid, Sadaf] Univ Peshawar, Islamia Coll, Dept Phys, Peshawar 25120, Khyber Pakhtunk, Pakistan
推荐引用方式 GB/T 7714	Javed, Tehseen,Li, Yi,Feng, Kai,et al. Monitoring responses of vegetation phenology and productivity to extreme climatic conditions using remote sensing across different sub-regions of China[J]. 西北农林科技大学.
APA	Javed, Tehseen.,Li, Yi.,Feng, Kai.,Ayantobo, Olusola O..,Ahmad, Shakeel.,...&Suon, Sovannaka.
MLA	Javed, Tehseen,et al."Monitoring responses of vegetation phenology and productivity to extreme climatic conditions using remote sensing across different sub-regions of China".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH