4.8 Article

On the calculation of lake metabolic rates: Diel O2 and 18/16O technique

Journal

WATER RESEARCH
Volume 165, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2019.114990

Keywords

Lake metabolism; Diel O-2 technique; O-18 isotope; O-18/16 technique; Production; Respiration

Funding

  1. Ministry of Science, Research and the Arts of the Federal State Baden-Wurttemberg, Germany (grant: Water Research Network project: Challenges of Reservoir Management - Meeting Environmental and Social Requirements)
  2. Limnology Center at Ecole Polytechnique Federate de Lausanne (EPFL), Switzerland under the project Primary Production in Large Lakes

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Metabolic transformations have a major impact on the development of primary producers in aquatic systems and thus affect the dynamics of the entire aquatic food web. Furthermore, metabolic transformations contribute to the carbon budget and thereby influence CO2 emissions from aquatic systems. Several techniques have been developed that aim at an easy assessment of metabolic rates over long time periods in many systems. The O-18/16 technique, which utilizes the isotopic fractionation between O-18 and O-16 isotopes due to metabolic transformations, is receiving increasing popularity in studies comparing the metabolism in many different lakes and served as basis for the conclusions that production increases with increasing atmospheric CO2 and that surprisingly little terrestrial carbon is recycled in lakes of the arid circumpolar landscape. However, we demonstrate here that the steady state assumptions underlying the O-18/16 technique cause large uncertainties in the estimated metabolic rates. This conclusion is based on a sensitivity analysis using a numerical model of dissolved oxygen, DO, and of dissolved O-18, O-18(DO), but is also confirmed by published metabolic rates estimated from the O-18/16 and the diel O-2 techniques. Metabolic rates obtained from the O-18/16 technique appear unsuited for correlation analyses between lakes but may provide reasonable estimates in systems with low and long-term stable production. In addition we illustrate that the combination of few O-18 measurements with the diel O-2 technique and an inverse fitting procedure can improve estimates of metabolic rates and in particular of respiration rates. (C) 2019 Published by Elsevier Ltd.

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