Changes in satellite-derived vegetation growth trend in the Tibetan Plateau from 2000 to 2021

Understanding how vegetation growth responds to climate change is a critical requirement for projecting future ecosystem dynamics, yet the temporal dynamics of vegetation growth on the Tibetan Plateau (TP) remain unclear. Using dataset of satellite-derived Normalized Difference Vegetation Index (NDVI) and solar-induced chlorophyll fluorescence (SIF), we investigated spatio-temporal changes in vegetation growth, the similarities and differences on relative trends of NDVI and SIF growing season mean value on the TP from 2000 to 2021. Results indicate that the east part of TP was greening, but the west part was browning in past 22 years. A piecewise linear regression approach shows that the trend in vegetation growth is not continuous through the 22-year period in two parts. The two satellite products produced different spatial patterns of relative trend, likely indicate changes in light-use efficiency (LUE). Our study highlights the importance of observing vegetation dynamics from multiple datasets and provides insights into investigating LUE dynamics.