Biogeosciences
Biogeosciences
BG
Articles | Volume 19, issue 17
Articles | Volume 19, issue 17
https://doi.org/10.5194/bg-19-4067-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-4067-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 17
Research article
 | 
01 Sep 2022
Research article |  | 01 Sep 2022

Intercomparison of methods to estimate gross primary production based on CO2 and COS flux measurements

Kukka-Maaria Kohonen, Roderick Dewar, Gianluca Tramontana, Aleksanteri Mauranen, Pasi Kolari, Linda M. J. Kooijmans, Dario Papale, Timo Vesala, and Ivan Mammarella

Viewed

Total article views: 2,846 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,053 723 70 2,846 49 58
  • HTML: 2,053
  • PDF: 723
  • XML: 70
  • Total: 2,846
  • BibTeX: 49
  • EndNote: 58
Views and downloads (calculated since 04 Feb 2022)
Cumulative views and downloads (calculated since 04 Feb 2022)

Viewed (geographical distribution)

Total article views: 2,846 (including HTML, PDF, and XML) Thereof 2,743 with geography defined and 103 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Nov 2024
Download
Short summary
Four different methods for quantifying photosynthesis (GPP) at ecosystem scale were tested, of which two are based on carbon dioxide (CO2) and two on carbonyl sulfide (COS) flux measurements. CO2-based methods are traditional partitioning, and a new method uses machine learning. We introduce a novel method for calculating GPP from COS fluxes, with potentially better applicability than the former methods. Both COS-based methods gave on average higher GPP estimates than the CO2-based estimates.
Read more
Altmetrics
Final-revised paper
Preprint