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• W4297884028 abstract "Abstract Estimates of primary productivity in aquatic ecosystems are commonly based on variation in O 2 , rather than CO 2 . The photosynthetic quotient (PQ) is used to convert primary production estimates from units of O 2 to C. However, there is a mismatch between the theory and application of the PQ. Aquatic ecologists use PQ=1-1.4. Meanwhile, PQ estimates from the literature support PQ=0.1-4.2. Here, we describe the theory on why PQ may vary in aquatic ecosystems. We synthesize the current understanding of how processes such as NO 3 − assimilation and photorespiration can affect the PQ. We test these ideas with a case study of the Clark Fork River, Montana, where theory predicts that PQ could vary in space and time due to variation in environmental conditions. Finally, we highlight research needs to improve our understanding of the PQ. We suggest departing from fixed PQ values and instead use literature-based sensitivity analyses to infer C dynamics from primary production estimated using O 2 . Scientific Significance Statement Accurate measures of primary production in aquatic ecosystems are necessary to quantify energy availability to higher trophic levels and biological effects on global CO 2 concentrations, among other reasons. However, we commonly measure primary production using O 2 because it is easier, despite our motivation to measure the rate of fixed C, and then use the photosynthetic quotient (the ratio of O 2 release to CO 2 fixed, PQ) to convert O 2 based metabolism to CO 2 . This study provides a summary of the current mismatch between our current knowledge and the application of PQ, highlights our current knowledge gaps, and emphasizes the need to use literature-based sensitivity analysis rather than uninformed fixed PQ values." @default.
• W4297884028 created "2022-10-01" @default.
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• W4297884028 date "2022-09-12" @default.
• W4297884028 modified "2023-10-16" @default.
• W4297884028 title "Exploring the mismatch between the theory and application of photosynthetic quotients in aquatic ecosystems" @default.
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• W4297884028 doi "https://doi.org/10.1101/2022.09.07.507017" @default.
• W4297884028 hasPublicationYear "2022" @default.
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