Title
Estimating primary production from oxygen time series : a novel approach in the frequency domain Estimating primary production from oxygen time series : a novel approach in the frequency domain
Author
Faculty/Department
Faculty of Sciences. Biology
Publication type
article
Publication
Subject
Biology
Source (journal)
Limnology and oceanography: methods
Volume/pages
13(2015) :10 , p. 529-552
ISSN
1541-5856
ISI
000363458500004
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Based on an analysis in the frequency domain of the governing equation of oxygen dynamics in aquatic systems, we derive a new method for estimating gross primary production (GPP) from oxygen time series. The central result of this article is a relation between time averaged GPP and the amplitude of the diel harmonic in an oxygen time series. We call this relation the Fourier method for estimating GPP. To assess the performance and accuracy of the method, we generate synthetic oxygen time series with a series of gradually more complex models, and compare the result with simulated GPP. We demonstrate that the method is applicable in systems with a range of rates of mixing, airwater exchange and primary production. We also apply the new method to oxygen time series from the Scheldt estuary (Belgium) and compare it with 14C-based GPP measurements. We demonstrate the Fourier method is particularly suited for estimating GPP in estuarine and coastal systems where tidal advection has a large imprint in observed oxygen concentrations. As such it enlarges the number of systems where GPP can be estimated from in situ oxygen concentrations. By shifting the focus to the frequency domain, we also gain some useful insights on the effect of observational error and of stochastic drivers of oxygen dynamics on metabolic estimates derived from oxygen time series.
Full text (open access)
https://repository.uantwerpen.be/docman/irua/02b53a/128957.pdf
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