IMHE OpenIR  > 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
Corresponding AuthorSailesh RANJITKAR ; XU Jian-chu
2017-09
Source PublicationJournal of Mountain Science
ISSN1672-6316
Volume14Issue:9Pages:1863-1872
Subtype期刊论文
AbstractClimatic 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.
KeywordModis Leaf Area Index Distribution Standardized Precipitation Index (Spi) Drought Yunnan
DOIhttps://doi.org/10.1007/s11629-016-3971-x
Indexed BySCI
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/19081
CollectionJournal of Mountain Science_Journal of Mountain Science-2017_Vol14 No.9
Recommended Citation
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.
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