Analyzing the Relationship between Solar-induced Chlorophyll Fluorescence and Gross Primary Production using Remotely Sensed Data and Model Simulation

Abstract

See, stats, and : https : / / www . researchgate . net / publication / 315751732 Analyzing - induced Primary . . . Article DOI : 10 . 15344 / 2456 - 351X / 2017 / 129 CITATIONS 0 READS 72 1 : Rui Beijing 80 SEE All . The . All - text and , letting . Abstract Remote measurement of solar - induced chlorophyll fluorescence (SIF) has opened a new perspective to assess plant actual photosynthesis at larger , ecologically relevant scales . Several recent researches have demonstrated the strong link between satellite based SIF and gross primary production (GPP) at large scales . However , understanding the underling mechanisms between SIF and GPP remains challenging before SIF used as a robust constraint for estimating GPP . In this study , we used a combination of remotely sensed data together with model analysis to assess the impact factors that determining the SIF - GPP relationship . We found that the Global Ozone Monitoring Experiment – 2 (GOME - 2) SIF is spatially corresponded to the Moderate Resolution Imaging Spectroradiometer (MODIS) product for GPP . We also noticed that the SIF - GPP relationship was ecosystem - specific and influenced by land surface temperature . The former is due to some structural and physiological characteristics related to each ecosystem and the latter can be attributed to the biochemical process influenced by temperature conditions . Our analysis using Soil - Canopy Observation of Photochemistry and Energy fluxes (SCOPE) model also indicated the SIF - GPP relationship was complex and affected by some factors like shortwave irradiance , chlorophyll content and LAI . As SIF and GPP are influenced by a combination of several factors under natural conditions , we concluded that the simply linear regression relationship between SIF and GPP may be applicable only for some certain conditions and the their relationship may not be linear over natural conditions . Based on our analysis , we then suggested that dedicated strategies were required to compensate for the factors affecting SIF - GPP relationship before using SIF to estimate global GPP . The findings of this study contributes to a better understanding of the information inherent in remotely sensed SIF and its functional relationship to GPP .