In this paper,the meteorological observation data of 102 meteorological stations in the Loess Plateau and its surrounding areas in 1982-2015 were selected.The Normalized Difference Vegetation Index (NDVI) and vegetation type data were used.And the Mann-kendall (m-k) Nonparametric test method and the second-order partial correlation analysis were adopted.The time series change trend and spatial pattern in the growing seasonal minimum temperature (T_(min)) and maximum temperature (T_(max)) over the Loess Plateau between 1982 and 2015 were analyzed,and the effects of asymmetric warming on different vegetation type were discussed.The results show that:① We found a persistent increase (P<0.01) in the growing seasonal T_(min) and T_(max) over the Loess Plateau between 1982-2015,whereas the rate of increase of T_(min) was 1.6 times that of T_(max).②The influence of diurnal asymmetry on vegetation dynamics showed an obvious difference,and NDVI and T_(min) showed a more significant correlation than NDVI and T_(max) in vegetative growth season.The effect of nighttime warming on NDVI in the Loess plateau is more significant than that of daytime warming.③We also found diverse responses of vegetation type to daytime and night-time warming across the Loess Plateau.We found that the partial correlation between NDVI and T_(max) was positive(P<0.05) except grassland and crop.The partial correlation between T_(min) and NDVI of crop was negative(P<0.01),and the partial correlation between T_(min) and NDVI of other vegetation was positive(P<0.05).Our results provide a demonstration for studying regional responses of vegetation to climate extremes under global climate change.