An improved SIF-based GPP estimation method based on quantifying the joint effect of photosynthetically active radiation and temperature on LUE/SIFyield

Lijiang Fu, Junqing Chen, Jinglu Tan, Suleyman I. Allakhverdiev and Ya Guo

Ecological Modelling, 2025, vol. 501, issue C

Abstract: Accurate measurement and estimation of ecosystem gross primary production (GPP) are essential for understanding ecosystem carbon dynamics. Solar-induced chlorophyll fluorescence (SIF) is a convenient predictor of gross primary production (GPP) due to their linear relationship. However, the different responses of light use efficiency (LUE=GPP/APAR) and SIF quantum yield (SIFyield=SIFtot/APAR) to climatic variables make GPP-SIF relationship complicated. In this research, a hyperbolic function f(PAR), a parabolic function f(T) and a synergy function f(PAR,T) are used to model the effects of photosynthetically active radiation (PAR) and temperature (T) on LUE/SIFyield, either separately or together based on field data from two different ecosystem sites on half-hourly or daily scales. Results show that the proposed synergy function can better predict actual LUE/SIFyield. Further, with the effect of PAR and T on LUE/SIFyield, the accuracies of SIF-based GPP estimation are improved when f(PAR,T) is included. This study provides an improved SIF-based GPP estimation method by quantifying the key roles of PAR and T on LUE/SIFyield.

Keywords: Solar-induced chlorophyll fluorescence; Gross primary production; Light use efficiency; Linear relationship (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:501:y:2025:i:c:s0304380024004058

DOI: 10.1016/j.ecolmodel.2024.111017

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