Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in China

The impact of extreme climate on natural ecosystems and socioeconomic systems is more serious than that the climate’s mean state. Based data 1698 meteorological stations in China from 2001 to 2018, this study calculated 27 indices Expert Team Climate Change Detection Indices (ETCCDI). Through correlation analysis collinearity diagnostics, we selected two representative temperature three precipitation indices. spatial scale Normalized Difference Vegetation Index (NDVI) during growing season 2018 was quantitatively analyzed, complexity dominant factors different regions discussed via clustering analysis. research results show have a effect vegetation. There are heterogeneities impacts vegetation, these varied between local, regional national scales. relationship maximum length dry spell (CDD) NDVI most spatially nonstationary, mostly occurred local scale, while annual total when daily amount 95th percentile (R95pTOT) showed greatest stability, mainly manifested at scale. Under current conditions, promotes vegetation growth, influence complicated. As regards intensity range, over past 18 years can be categorized into five types: humidity-promoting type, cold-promoting drought-inhibiting compound heat-promoting type. Drought threat associated with China.