Phytoplankton photosynthetic parameters in waters near the Kamchatka Peninsula in August–September 2023
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Abstract
The climate change and increasing anthropogenic load affect the aquatic ecosystems. State and productivity of pelagic ecosystems are largely determined by photosynthetic capacity of phytoplankton. The aim of this work was to analyze the variability of phytoplankton photosynthetic parameters [quantum yield of photosynthesis (ϕ) which characterizes efficiency of absorbed light quanta utility in photosynthesis, its potential capacity (ϕmax), and light-saturation coefficient (Ik)] depending on light conditions, which are determined by the ratio of thickness of the upper mixed layer (UML) to the depth of the euphotic zone (Zeu). The study covered data obtained in the Pacific Ocean and the Sea of Okhotsk during the cruise 23/4 of the RV “Professor Multanovskiy” in August–September 2023. Parameters ϕmax and Ik were calculated based on measurements of rapid light–response curves of variable fluorescence. As found out, variability in photosynthetic parameters was mainly determined by phytoplankton physiological acclimation to light. Importantly, acclimation to light, which differed between the UML and the deeper layer of the Zeu, resulted in distinct light–response patterns of relative electron transport rate curves. The values of Ik were directly related to light intensity. Nonetheless, the values of ϕmax were inversely related to light intensity, but to a larger extent than the values of Ik. As a result, ϕ, which depends on Ik and ϕmax, dropped with increasing light intensity. A tight relationship between the values of ϕ and light intensity (r = 0.97) was revealed (p < 0.0001), and it was described by an exponential function. This analysis showed peculiarities of the light forcing variability in photosynthetic parameters. The revealed dependences of Ik, ϕmax, and ϕ on light intensity can be used for express assessment of their values based on light; this is necessary for analysis of primary production involving spectral approach.
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References
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