Influences of Climate Extremes on NDVI (Normalized Difference Vegetation Index) in the Poyang Lake Basin, China

摘要: Based on long-term NDVI (Normalized Difference Vegetation Index) derived from Global Inventory Modeling and Mapping Study (GIMMS) daily meteorological observations 14 stations in the Poyang Lake Basin, this study investigated relationship between vegetation variation climatic extremes during 1982–2006. Ten typical indices were adopted to describe extreme, including two precipitation-related eight temperature-related indices. Correlation analysis shows that monthly averaged variations are generally determined by temperature but not precipitation extremes. Positive correlations appear indices, more significant spring autumn. Significant negative found summer winter In addition, spatial heterogeneity is vulnerable climate change for middle basin than other regions. Finally, we demonstrate can currently responds or with a lag of 1 month. With respect extremes, strongest response may occur 2 months later. Our highlights role NDVI, helpful improve understanding vulnerability fluctuations.