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Updated: May 27, 2025

Evaluation of Photosynthetic Behaviors by Simultaneous Measurements of Leaf Reflectance and Chlorophyll Fluorescence Analyses
Published on: August 9, 2019
Spectral response of gross primary production to in situ canopy light absorption coefficient of chlorophyll
Anatoly A Gitelson1, Andrés Viña2,3, Alexei Solovchenko4
1School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA. agitelson2@unl.edu.
Abstract:
The amount of absorbed light is one of the main factors governing plant photosynthesis, and ultimately, the gross primary production (GPP) of vegetation. Since canopy chlorophyll (Chl) content defines the amount of light that can be absorbed (thus the amount of energy available for photosynthesis), it is representative of the status of the photosynthetic apparatus and directly relates with vegetation productivity. The non-invasive assessment of these traits is the foundation of proximal and remote sensing and of high-throughput phenotyping of plants. The goal of this study is to explore: (i) the response of GPP to the absorption coefficient of Chl derived from canopy reflectance (i.e., assessed in situ) across the PAR and red-edge spectral regions in two plant species with contrasting biochemistry, structural properties, and photosynthetic pathway; (ii) the efficiency of contrasting plants in absorbing radiation and converting it into photosynthetic carbon uptake. The spectral composition of light absorbed by vegetation and the contribution of each spectral range to GPP were quantified. The highest responses of GPP to the Chl absorption coefficient occurred in the red-edge and green spectral regions. More notably, in contrasting plant species the GPP responses in the visible and red-edge spectral regions were almost identical and close to the quantum yield of CO2 fixation. This potentially opens a novel avenue for the remote assessment of the quantum yield of photosynthesis. The uncertainty of the relationship between GPP and Chl absorption coefficient and its impact on the estimation of photosynthetic rates was also quantified.
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