REAL

Coupling high frequency dissolved oxygen and chlorophyll fluorescence data for a robust estimation of lake metabolism parameters

Honti, Márk and Istvánovics, Vera and Staehr, Peter A. and Brighenti, Ludmilla S. and Zhu, Mengyuan and Zhu, Guangwei (2015) Coupling high frequency dissolved oxygen and chlorophyll fluorescence data for a robust estimation of lake metabolism parameters. INLAND WATERS. ISSN 2044-2041 (Submitted)

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Abstract

Gross primary production (GPP) and community respiration (R) are increasingly calculated from high-frequency measurements of dissolved O2 (DO) by fitting dynamic metabolic models to the observed DO time series. Since different combinations of metabolic components result in the same DO time series, theoretical problems burden this inverse modeling approach. Bayesian parameter inference could improve identification of processes by including independent knowledge in the estimation procedure. This, however, requires model development, because parameters of existing metabolic models are too abstract to achieve a significant improvement. As algal biomass is a key determinant of GPP and R, and high-frequency data on phytoplankton biomass are increasingly available, coupling DO and biomass time series within a Bayesian framework has a high potential to support identification of individual metabolic components. We demonstrate this in three lakes where both high frequency DO and chlorophyll fluorescence data were available. Phytoplankton data were digested via a sequential Bayesian learning procedure coupled with an error model that accounted for systematic errors caused by structural deficiencies of the metabolic model. This method provided ecologically coherent and therefore presumably robust estimates for biomass-specific metabolic rates. This can contribute to a better understanding of metabolic responses to natural and anthropogenic changes.

Item Type: Article
Subjects: T Technology / alkalmazott, műszaki tudományok > TD Environmental technology. Sanitary engineering / környezetvédelem, hulladékkezelés, egészségügyi mérnöki technika (ivóvízellátási és szennyvízkezelési technika)
Depositing User: Mark Honti
Date Deposited: 01 Oct 2015 12:20
Last Modified: 01 Oct 2015 12:20
URI: http://real.mtak.hu/id/eprint/29373

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