Coupling high frequency dissolved oxygen and chlorophyll fluorescence data for a robust estimation of lake metabolism parameters
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Tartalom: http://real.mtak.hu/29373/
Archívum: MTA Könyvtár
Gyűjtemény: Status = Submitted

Type = Article
Cím:
Coupling high frequency dissolved oxygen and chlorophyll fluorescence data for a robust estimation of lake metabolism parameters
Létrehozó:
Honti, Márk
Istvánovics, Vera
Staehr, Peter A.
Brighenti, Ludmilla S.
Zhu, Mengyuan
Zhu, Guangwei
Dátum:
2015-05-01
Téma:
TD Environmental technology. Sanitary engineering / környezetvédelem, hulladékkezelés, egészségügyi mérnöki technika (ivóvízellátási és szennyvízkezelési technika)
Tartalmi leírás:
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.
Típus:
Article
NonPeerReviewed
Formátum:
text
Azonosító:
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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