Abstract:Vegetation phenophase directly reflects the dynamic process of vegetation response to environmental changes, and is of great importance to understand the relationship between vegetation and climate. This paper explored the spatiotemporal variability of vegetation phenophase and its response to climate changes in Micang Mountains, a classic example of Qinling-Daba Mountains, China. Based on the MODIS NDVI data from 2003 to 2018, the vegetation phenological parameters of the Micang Mountains were obtained by the Savitzky-Golay filtering method and the dynamic threshold method. The Theil Sen slope and Mann-Kendall trend test, combined with vegetation types, were used to analyze quantitatively the temporal and spatial variation of phenophase. The relations between vegetation phenological periods and monthly temperature and precipitation were explored also by partial correlation analysis. The results showed that the start of the growing season (SOS) ranged mainly from 80th to 110th day, and it delayed with the increasing elevation about 0.6 day every 100 m. The end of the growing season (EOS) ranged mainly from 250th to 300th day. The length of the growing season (LOS) ranged mainly from 130 to 210 day. The EOS and LOS had 2000 m boundary with the elevation changes, except for low-altitude areas where the phenophase fluctuated greatly affected by human activities. The phenophase below it significantly delayed or shortened with the elevation, and the phenological changes above it tended to be gentle. The SOS showed an advanced trend with 0.47 d/a, accounting for 74.03% of the total area, and significantly advanced area accounted for 12.21% (P<0.1). The EOS showed an early trend totally with an advanced range of 0.22 d/a too. The LOS slightly extended with a rate of 0.26 d/a. The SOS of evergreen forest vegetation was later than that of deciduous forest vegetation in the same vertical belt. The advanced trends of SOS in grassland and evergreen broad-leaved shrub forest were the most obvious, and their changed rates were -0.80 d/a and -0.71 d/a, respectively. The most obviously advanced trend of EOS appeared in the coniferous and broad-leaved mixed forest and deciduous broad-leaved forest. The relation analysis revealed that the SOS was mainly affected by temperature in March and precipitation in April because the increased temperature and precipitation led to advance of SOS, and that the EOS was negatively influenced by precipitation in October that caused advance of EOS in Micang Mountains.