TY - JOUR
T1 - Long-term trend and correlation between vegetation greenness and climate variables in Asia based on satellite data
AU - Lamchin, Munkhnasan
AU - Lee, Woo Kyun
AU - Jeon, Seong Woo
AU - Wang, Sonam Wangyel
AU - Lim, Chul Hee
AU - Song, Cholho
AU - Sung, Minjun
N1 - Funding Information:
We thank the editors and anonymous reviewers for their detailed comments and review, which greatly improved this manuscript. This work was funded by the Korea Meteorological Administration Research and Development Program (See-At grant KMIPA 2015-6140 ); the Korean Ministry of Environment as “Climate Change Correspondence Program” (Project Number: 2014001310008 ); and a Korea University grant.
Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2018/3/15
Y1 - 2018/3/15
N2 - Satellite data has been used to ascertain trends and correlations between climate change and vegetation greenness in Asia. Our study utilized 33-year (1982–2014) AVHRR-GIMMS (Advanced Very High Resolution Radiometer - Global Inventory Modelling and Mapping Studies) NDVI3g and CRU TS (Climatic Research Unit Time Series) climate variable (temperature, rainfall, and potential evapotranspiration) time series. First, we estimated the overall trends for vegetation greenness, climate variables and analyzed trends during summer (April to October), winter (November to March), and the entire year. Second, we carried out correlation and regression analyses to detect correlations between vegetation greenness and climate variables. Our study revealed an increasing trend (0.05 to 0.28) in temperature in northeastern India (bordering Bhutan), Southeast Bhutan, Yunnan Province of China, Northern Myanmar, Central Cambodia, northern Laos, southern Vietnam, eastern Iran, southern Afghanistan, and southern Pakistan. However, a decreasing trend in temperature (0.00 to − 0.04) was noted for specific areas in southern Asia including Central Myanmar and northwestern Thailand and the Guangxi, Southern Gansu, and Shandong provinces of China. The results also indicated an increasing trend for evapotranspiration and air temperature accompanied by a decreasing trend for vegetation greenness and rainfall. The temperature was found to be the main driver of the changing vegetation greenness in Kazakhstan, northern Mongolia, Northeast and Central China, North Korea, South Korea, and northern Japan, showing an indirect relationship (R = 0.84–0.96).
AB - Satellite data has been used to ascertain trends and correlations between climate change and vegetation greenness in Asia. Our study utilized 33-year (1982–2014) AVHRR-GIMMS (Advanced Very High Resolution Radiometer - Global Inventory Modelling and Mapping Studies) NDVI3g and CRU TS (Climatic Research Unit Time Series) climate variable (temperature, rainfall, and potential evapotranspiration) time series. First, we estimated the overall trends for vegetation greenness, climate variables and analyzed trends during summer (April to October), winter (November to March), and the entire year. Second, we carried out correlation and regression analyses to detect correlations between vegetation greenness and climate variables. Our study revealed an increasing trend (0.05 to 0.28) in temperature in northeastern India (bordering Bhutan), Southeast Bhutan, Yunnan Province of China, Northern Myanmar, Central Cambodia, northern Laos, southern Vietnam, eastern Iran, southern Afghanistan, and southern Pakistan. However, a decreasing trend in temperature (0.00 to − 0.04) was noted for specific areas in southern Asia including Central Myanmar and northwestern Thailand and the Guangxi, Southern Gansu, and Shandong provinces of China. The results also indicated an increasing trend for evapotranspiration and air temperature accompanied by a decreasing trend for vegetation greenness and rainfall. The temperature was found to be the main driver of the changing vegetation greenness in Kazakhstan, northern Mongolia, Northeast and Central China, North Korea, South Korea, and northern Japan, showing an indirect relationship (R = 0.84–0.96).
KW - Correlation
KW - Evaporation
KW - Precipitation
KW - Temperature
KW - Trend
KW - Vegetation greenness
UR - http://www.scopus.com/inward/record.url?scp=85033666926&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2017.09.145
DO - 10.1016/j.scitotenv.2017.09.145
M3 - Article
C2 - 29100696
AN - SCOPUS:85033666926
SN - 0048-9697
VL - 618
SP - 1089
EP - 1095
JO - Science of the Total Environment
JF - Science of the Total Environment
ER -
