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 CO emissions from aquatic systems. Several techniques have been developed that aim at an easy assessment of metabolic rates over long time periods or in many systems. The O technique, which utilizes the isotopic fractionation between O and O 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 CO 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 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, O, but is also confirmed by published metabolic rates estimated from the O and the diel O techniques. Metabolic rates obtained from the O 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 measurements with the diel O technique and an inverse fitting procedure can improve estimates of metabolic rates and in particular of respiration rates.
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http://dx.doi.org/10.1016/j.watres.2019.114990 | DOI Listing |
J Clin Endocrinol Metab
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Division of Endocrinology, Diabetes, & Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
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View Article and Find Full Text PDFWorld J Gastroenterol
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Department of Epidemiology and Health Statistics, Dalian Medical University, Dalian 116044, Liaoning Province, China.
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College of Horticulture, Hebei Agricultural University, Baoding 071001, China.
Few studies have explored the impact of blue light-emitting diode (BL) irradiation combined with different storage temperatures on antioxidant defense and cell wall metabolic activities related to the quality deterioration of postharvest strawberries. This study investigates the effects of BL exposure as a non-chemical preservation strategy to improve the postharvest quality of strawberries stored at 22 °C and 8 °C. Over a 10-day storage period, BL irradiation significantly reduced respiratory and ethylene production rates, while preserving fruit firmness and increasing the contents of soluble sugar and total phenol at both temperatures.
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