Articles | Volume 18, issue 18
https://doi.org/10.5194/acp-18-13321-2018
https://doi.org/10.5194/acp-18-13321-2018
Research article
 | 
18 Sep 2018
Research article |  | 18 Sep 2018

Prediction of photosynthesis in Scots pine ecosystems across Europe by a needle-level theory

Pertti Hari, Steffen Noe, Sigrid Dengel, Jan Elbers, Bert Gielen, Veli-Matti Kerminen, Bart Kruijt, Liisa Kulmala, Anders Lindroth, Ivan Mammarella, Tuukka Petäjä, Guy Schurgers, Anni Vanhatalo, Markku Kulmala, and Jaana Bäck

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
AR by Anni Vanhatalo on behalf of the Authors (21 May 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (31 May 2018) by Dominick Spracklen
RR by Anonymous Referee #2 (14 Jun 2018)
RR by Anonymous Referee #1 (04 Jul 2018)
ED: Publish subject to minor revisions (review by editor) (13 Jul 2018) by Dominick Spracklen
AR by Anni Vanhatalo on behalf of the Authors (22 Aug 2018)  Author's response   Manuscript 
ED: Publish as is (26 Aug 2018) by Dominick Spracklen
AR by Anni Vanhatalo on behalf of the Authors (05 Sep 2018)
Short summary
The development of eddy-covariance measurements of ecosystem CO2 fluxes began a new era in the field studies of photosynthesis. The interpretation of the very variable CO2 fluxes in evergreen forests has been problematic especially in seasonal transition times. We apply two theoretical needle-level equations and show they can predict photosynthetic CO2 flux between the atmosphere and Scots pine forests. This has strong implications for the interpretation of the global change and boreal forests.
Altmetrics
Final-revised paper
Preprint