Plant photosynthesis potential variation with environmental stress: A meta-analysis using SIF

Patrick Neri1, Yang Song1
1Department of Hydrology and Atmospheric Sciences, University of Arizona
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Plant photosynthesis potential variation with environmental stress: A meta-analysis utilizing SIF The improvement of Global Earth System Models (ESM) is an ongoing effort to facilitate a wholistic view of the interdependent factors that direct the planet. One recent development in that improvement is the modification of plant productivity modelling toward increased predictive power of vegetation-climate feedbacks and a clarified resilience of ecosystems to changing climates utilizing new techniques. Implementation of this approach requires an explicit understanding of how plant carbon assimilation acclimates to environmental stresses through regulatory actions of photosynthetically active radiation (PAR) partitioning among photosynthesis, non-photochemical quenching, heat dissipation, and solar induced fluorescence (SIF).

This study aims to determine a useful scheme to solve this question by performing a meta-analysis over a large sample of previous ground-based SIF and photosynthesis measurements. Integration of previous studies done on plants utilizing Pulse Amplitude Measurement (PAM) fluorescence was done to determine the maximum quantum efficiency of PSII system primary photochemistry (φPSIImax), a direct indicator of radiation usage efficiency for photosynthesis potential, in response to the specific experimental variables of temperature, light, water, and nutrient availability, used to determine a parameterization scheme of φPSIImax.

Our research currently indicates clear correlations between overall φPSIImax and temperature, with a clear range of preferred temperature across most plant species of around 29-16°C, with decline outside this range. These results will prepare a global-scale database for developing SIF-enabled photosynthetic modeling, allowing the assimilation of satellite-based SIF measurements to study terrestrial carbon-climate feedbacks at a global scale.

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