Inter‐laboratory differences in the apparent quantum yield for the photochemical production of dissolved inorganic carbon in inland waters and implications for photochemical rate modeling
Koehler, B., Powers, L. C., Cory, R. M., Einarsdóttir, K., Gu, Y., Tranvik, L. J., Vähätalo, A. V., Ward, C. P., & Miller, W. L. (2022). Inter‐laboratory differences in the apparent quantum yield for the photochemical production of dissolved inorganic carbon in inland waters and implications for photochemical rate modeling. Limnology and Oceanography : Methods, 20(6), 320-337. https://doi.org/10.1002/lom3.10489
Published inLimnology and Oceanography : Methods
© 2022 the Authors
Solar radiation initiates photochemical oxidation of dissolved organic carbon (DOC) to dissolved inorganic carbon (DIC) in inland waters, contributing to their carbon dioxide emissions to the atmosphere. Models can determine photochemical DIC production over large spatiotemporal scales and assess its role in aquatic C cycling. The apparent quantum yield (AQY) spectrum for photochemical DIC production, defined as mol DIC produced per mol chromophoric dissolved organic matter-absorbed photons, is a critical model parameter. In previous studies, the principle for the determination of AQY spectra is the same but methodological specifics differ, and the extent to which these differences influence AQY spectra and simulated aquatic DIC photoproduction is unclear. Here, four laboratories determined AQY spectra from water samples of eight inland waters that are situated in Alaska, Finland, and Sweden and span a nearly 10-fold range in DOM absorption coefficients. All AQY values fell within the range previously reported for inland waters. The inter-laboratory coefficient of variation (CV) for wavelength-integrated AQY spectra (300–450 nm) averaged 38% ± 3% SE, and the inter-water CV averaged 63% ± 1%. The inter-laboratory CV for simulated photochemical DIC production (conducted for the five Swedish lakes) averaged 49% ± 12%, and the inter-water CV averaged 77% ± 10%. This uncertainty is not surprising given the complexities and methodological choices involved in determining DIC AQY spectra and needs to be considered when applying photochemical rate modeling. Thus, we also highlight current methodological limitations and suggest future improvements for DIC AQY determination to reduce inter-laboratory uncertainty. ...
PublisherJohn Wiley & Sons
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Additional information about fundingWe acknowledge funding by the Swedish Research Council forEnvironment, Agricultural Sciences and Spatial Planning (FORMAS) as partof the research environment“The Color of Water”(grantno. 2009-1350-15339-81) and by the Knut and Alice WallenbergFoundation (Wallenberg Scholar KAW 2018-0191) to L.J.T.; by the SwedishResearch Council (grant no. 2011-3475-604 88773-67) to L.J.T. and B.K.;by the Foundation King Carl XVI Gustaf 50-year Fond for Science,Technology and Environment 2015, and by the Matariki Network 2016 to B.K.; by the Science Council of the University of Jyväskylä for a mobilitygrant to Y.G.; by NSF grants OCE-0850677 to W.M. and OCE-1635618 toW.M. and L.P.; and by NSF CAREER 1351745 and the Camille and Henry Dreyfus Foundation Postdoctoral Program in Environmental Chemistry toR.M.C. and C.P.W. Some materials in this manuscript are based on worksupported while W.M. was serving at the U.S. National Science Founda-tion. We further acknowledge David J. Kieber for advice concerning nitriteactinometry. ...
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