The regional differences of GPP estimation by solar induced fluorescence

Abstract

Estimating gross primary productivity (GPP) at large spatial scales is important for studying the global carbon cycle and global climate change. In this study, the relationship between solar-induced chlorophyll fluorescence (SIF) and GPP is analysed in different levels of annual average temperature and annual total precipitation respectively using simple linear regression analysis. The results showed high correlation between SIF and GPP, when the area satisfied annual average temperature in the range of -5°C ∼15°C and the annual total precipitation is higher than 200mm. These results can provide a basis for future estimation of GPP research.