干旱区生态环境知识资源中心(Arid): Assessing extreme climatic changes on a monthly scale and their implications for vegetation in Central Asia

Arid

DOI	10.1016/j.jclepro.2020.122396
	Assessing extreme climatic changes on a monthly scale and their implications for vegetation in Central Asia
	Luo, Min; Sa, Chula; Meng, Fanhao; Duan, Yongchao; Liu, Tie; Bao, Yuhai
通讯作者	Meng, FH
来源期刊	JOURNAL OF CLEANER PRODUCTION
ISSN	0959-6526
EISSN	1879-1786
出版年	2020
卷号	271
英文摘要	The arid and semi-arid areas of Central Asia are especially susceptible and vulnerable to climatic change, thus making understanding the relationship between extreme climate and vegetation dynamics in recent decades very important. Based on the maximum value composite, trend analysis, Mann-Kendall test, correlation analysis, and cross-correlation analysis, this study investigated the variations of extreme climatic indices and their influences on vegetation dynamics using the Unified Gauged-Based Analysis data from the NOAA Climate Prediction Center (CPC) and the Global Inventory Monitoring and Modeling Studies (GIMMS) normalized difference vegetation index (NDVI) series of 1982-2015. In general terms, it is suggested that Central Asia has experienced more extreme precipitation and high temperature events, especially in the mountainous regions. The vegetation in Central Asia has significantly increased during the past 34 years at a rate of 0.0006.year(-1). The NDVI is significantly and positively related to extreme precipitation and temperature intensity indices on a monthly scale, with strong spatiotemporal heterogeneity. The influences of extreme precipitation indices mainly occurred in May and June, without time lag on a monthly scale, while extreme temperatures exhibited significant relationship with maximum NDVI in April, with a time lag of at least 1 month. Analyzing the relationship between extreme climatic factors and vegetation dynamics on a monthly scale can help us to better understand the main limiting factors for vegetation growth in different growth periods compared with those on an annual scale. In the most severely affected regions, adaptation methods must be initiated, especially for improving the speed of disaster relief and reducing socioeconomic losses. The findings of this study will provide vital information for the ecological protection and sustainable development of Central Asia. (C) 2020 Elsevier Ltd. All rights reserved.
英文关键词	Vegetation dynamics Central Asia Extreme climate NDVI
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000569336500007
WOS关键词	PRECIPITATION EXTREMES ; RESPONSES ; DYNAMICS ; NDVI ; TEMPERATURE ; XINJIANG ; PLATEAU ; BASIN ; IMPACTS ; REGION
WOS类目	Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS研究方向	Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/326293
作者单位	[Luo, Min; Sa, Chula; Meng, Fanhao; Bao, Yuhai] Inner Mongolia Normal Univ, Coll Geog Sci, Hohhot 010022, Peoples R China; [Luo, Min; Sa, Chula; Meng, Fanhao; Bao, Yuhai] Inner Mongolia Normal Univ, Inner Mongolia Key Lab Remote Sensing & Geog Info, Hohhot 010022, Peoples R China; [Duan, Yongchao; Liu, Tie] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
推荐引用方式 GB/T 7714	Luo, Min,Sa, Chula,Meng, Fanhao,et al. Assessing extreme climatic changes on a monthly scale and their implications for vegetation in Central Asia[J]. 中国科学院新疆生态与地理研究所,2020,271.
APA	Luo, Min,Sa, Chula,Meng, Fanhao,Duan, Yongchao,Liu, Tie,&Bao, Yuhai.(2020).Assessing extreme climatic changes on a monthly scale and their implications for vegetation in Central Asia.JOURNAL OF CLEANER PRODUCTION,271.
MLA	Luo, Min,et al."Assessing extreme climatic changes on a monthly scale and their implications for vegetation in Central Asia".JOURNAL OF CLEANER PRODUCTION 271(2020).