2024-03-27 null null null(卷), null(期), (null页)
Understanding spring phenology dynamics in China's temperate grasslands is crucial for carbon cycle predictions. Using GIMMS NDVI data (1982-2014), we analyze SOS trends, considering climate variables. SOS advanced by 0.6 days/decade, with diverse trends across grassland types. TM advanced significantly (2.1 days/decade), TS and TDS showed non-significant changes. SOS correlates positively with temperature and radiation, negatively with precipitation and SPEI. Precipitation's impact is greatest (35%), followed by SPEI (30%), radiation (18%), and temperature (17%). Precipitation's significance increases in arid regions. These findings are vital for climate adaptation in arid and semi-arid ecosystems.