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

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Vol14 No.9: 1863-1872

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

Author】Kwangchol KIM1,2; WANG Ming-cheng 1,3; Sailesh RANJITKAR1,3*; LIU Su-hong 4; XU Jian-chu 1,3*; Robert J. ZOMER3

Addresses】1 Centre for Mountain Ecosystem Studies, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China; 2 University of Chinese Academy of Sciences, Beijing 100049, China; 3 World Agroforestry Center, East and Central Asia, Kunming 650201, China; 4 State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing 100875, China

Corresponding author】sailesh.ranjitkar@gmail.com; jxu@mail.kib.ac.cn

Citation】Kim K, Wang MC, Ranjitkar S, et al. (2017) Using leaf area index (LAI) to assess vegetation response to drought in Yunnan province of China. Journal of Mountain Science 14(9). https://doi.org/10.1007/s11629-016-3971-x

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

Abstract】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.

Keywords】MODIS; Leaf area index distribution; Standardized Precipitation Index (SPI); Drought; Yunnan