Using leaf area index (LAI) to assess vegetation response to drought in Yunnan province of China

doi:https://doi.org/10.1007/s11629-016-3971-x

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2017 > Vol14 No.9

	Using leaf area index (LAI) to assess vegetation response to drought in Yunnan province of China
	Kwangchol KIM; WANG Ming-cheng; Sailesh RANJITKAR; LIU Su-hong; XU Jian-chu; Robert J. ZOMER
刊名	Journal of Mountain Science
	2017-09
卷号	14 期号:9 页码:1863-1872
关键词	Modis Leaf Area Index Distribution Standardized Precipitation Index (Spi) Drought Yunnan
ISSN号	1672-6316
DOI	https://doi.org/10.1007/s11629-016-3971-x
通讯作者	Sailesh RANJITKAR ; XU Jian-chu
文献子类	期刊论文
英文摘要	Climatic extremes such as drought have becoming a severe climate-related problem in many regions all over the world that can induce anomalies in vegetation condition. Growth and CO2uptake by plants are constrained to a large extent by drought. Therefore, it is important to understand the spatial and temporal responses of vegetation to drought across the various land cover types and different regions. Leaf area index (LAI) derived from Global Land Surface Satellite (GLASS) data was used to evaluate the response of vegetation to drought occurrence across Yunnan Province, China (2001-2010). The meteorological drought was assessed based on Standardized Precipitation Index (SPI) values. Pearson's correlation coefficients between LAI and SPI were examined across several timescales within six sub-regions of the Yunnan. Further, the drought-prone area was identified based on LAI anomaly values. Lag and cumulative effects of lack of precipitation on vegetation were evident, with significant correlations found using 3-, 6-, 9- and 12-month timescale. We found 9-month timescale has higher correlations compared to another timescale. Approximately 29.4% of Yunnan's areawas classified as drought-prone area, based on the LAI anomaly values. Most of this drought-prone area was distributed in the mountainous region of Yunnan. From the research, it is evident that GLASS LAI can be effectively used as an indicator for assessing drought conditions and it provide valuable information for drought risk defense and preparedness.
语种	英语
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/19081]
专题	Journal of Mountain Science _Journal of Mountain Science-2017_Vol14 No.9
推荐引用方式 GB/T 7714	Kwangchol KIM,WANG Ming-cheng,Sailesh RANJITKAR,et al. Using leaf area index (LAI) to assess vegetation response to drought in Yunnan province of China[J]. Journal of Mountain Science,2017,14(9):1863-1872.
APA	Kwangchol KIM,WANG Ming-cheng,Sailesh RANJITKAR,LIU Su-hong,XU Jian-chu,&Robert J. ZOMER.(2017).Using leaf area index (LAI) to assess vegetation response to drought in Yunnan province of China.Journal of Mountain Science,14(9),1863-1872.
MLA	Kwangchol KIM,et al."Using leaf area index (LAI) to assess vegetation response to drought in Yunnan province of China".Journal of Mountain Science 14.9(2017):1863-1872.