Using leaf area index (LAI) to assess vegetation response to drought in Yunnan province of China
Kim, Kwangchol1,2; Wang, Ming-cheng1,3; Ranjitkar, Sailesh1,3; Liu, Su-hong4; Xu, Jian-chu1,3; Zomer, Robert J.3
2017-09-01
发表期刊JOURNAL OF MOUNTAIN SCIENCE
ISSN1672-6316
卷号14期号:9页码:1863-1872
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 CO2 uptake 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 area was 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.

关键词Modis Leaf Area Index Distribution Standardized Precipitation Index (Spi) Drought Yunnan
收录类别SCI
语种英语
引用统计
文献类型期刊论文
条目标识符http://ir.kib.ac.cn/handle/151853/54898
专题资源植物与生物技术所级重点实验室
作者单位1.Chinese Acad Sci, Kunming Inst Bot, Ctr Mt Ecosyst Studies, Kunming 650201, Yunnan, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.East & Cent Asia, World Agroforestry Ctr, Kunming 650201, Yunnan, Peoples R China
4.Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
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Kim, Kwangchol,Wang, Ming-cheng,Ranjitkar, Sailesh,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 Kim, Kwangchol,Wang, Ming-cheng,Ranjitkar, Sailesh,Liu, Su-hong,Xu, Jian-chu,&Zomer, Robert J..(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 Kim, Kwangchol,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.
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