Articles | Volume 16, issue 6
https://doi.org/10.5194/bg-16-1111-2019
https://doi.org/10.5194/bg-16-1111-2019
Research article
 | 
19 Mar 2019
Research article |  | 19 Mar 2019

Source partitioning of H2O and CO2 fluxes based on high-frequency eddy covariance data: a comparison between study sites

Anne Klosterhalfen, Alexander Graf, Nicolas Brüggemann, Clemens Drüe, Odilia Esser, María P. González-Dugo, Günther Heinemann, Cor M. J. Jacobs, Matthias Mauder, Arnold F. Moene, Patrizia Ney, Thomas Pütz, Corinna Rebmann, Mario Ramos Rodríguez, Todd M. Scanlon, Marius Schmidt, Rainer Steinbrecher, Christoph K. Thomas, Veronika Valler, Matthias J. Zeeman, and Harry Vereecken

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: Publish subject to minor revisions (review by editor) (21 Jan 2019) by Trevor Keenan
AR by Anne Klosterhalfen on behalf of the Authors (11 Feb 2019)  Author's response    Manuscript
ED: Publish as is (22 Feb 2019) by Trevor Keenan
Download
Short summary
To obtain magnitudes of flux components of H2O and CO2 (e.g., transpiration, soil respiration), we applied source partitioning approaches after Scanlon and Kustas (2010) and after Thomas et al. (2008) to high-frequency eddy covariance measurements of 12 study sites covering various ecosystems (croplands, grasslands, and forests) in different climatic regions. We analyzed the interrelations among turbulence, site characteristics, and the performance of both partitioning methods.
Altmetrics
Final-revised paper
Preprint