Articles | Volume 18, issue 10
https://doi.org/10.5194/bg-18-3103-2021
https://doi.org/10.5194/bg-18-3103-2021
Research article
 | 
25 May 2021
Research article |  | 25 May 2021

Complex interactions of in-stream dissolved organic matter and nutrient spiralling unravelled by Bayesian regression analysis

Matthias Pucher, Peter Flödl, Daniel Graeber, Klaus Felsenstein, Thomas Hein, and Gabriele Weigelhofer

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (04 Feb 2021) by Gwenaël Abril
AR by Matthias Pucher on behalf of the Authors (19 Mar 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (29 Mar 2021) by Gwenaël Abril
AR by Matthias Pucher on behalf of the Authors (12 Apr 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (20 Apr 2021) by Gwenaël Abril
AR by Matthias Pucher on behalf of the Authors (21 Apr 2021)  Manuscript 
Download
Short summary
Dissolved organic matter is an important carbon source in aquatic ecosystems, yet the uptake processes are not totally understood. We found evidence for the release of degradation products, efficiency loss in the uptake with higher concentrations, stimulating effects, and quality-dependent influences from the benthic zone. To conduct this analysis, we included interactions in the equations of the nutrient spiralling concept and solve it with a Bayesian non-linear fitting algorithm.
Altmetrics
Final-revised paper
Preprint