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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Sep 2022
Research article |
| 01 Sep 2022
| 01 Sep 2022
Intercomparison of methods to estimate gross primary production based on CO2 and COS flux measurements
Kukka-Maaria Kohonen
CORRESPONDING AUTHOR
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
Roderick Dewar
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
Division of Plant Sciences, Research School of Biology, The Australian National University, Canberra, ACT 2601, Australia
Gianluca Tramontana
Image Processing Laboratory (IPL), Parc Científic Universitat de València, Universitat de València, Paterna, Spain
Terrasystem s.r.l, Viterbo, Italy
Aleksanteri Mauranen
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
Pasi Kolari
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
Linda M. J. Kooijmans
Meteorology and Air Quality, Wageningen University and Research, Wageningen, the Netherlands
Dario Papale
DIBAF, Department for Innovation in Biological, Agro-food and Forest Systems, University of Tuscia, Viterbo, Italy
IAFES, Euro-Mediterranean Center for Climate Change (CMCC), Viterbo, Italy
Timo Vesala
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
Institute for Atmospheric and Earth System Research/Forest Sciences, University of Helsinki, Helsinki, Finland
Ivan Mammarella
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
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Cited
12 citations as recorded by crossref.
- Diurnal variability of atmospheric O2, CO2, and their exchange ratio above a boreal forest in southern Finland K. Faassen et al. 10.5194/acp-23-851-2023
- Technical note: Novel estimates of the leaf relative uptake rate of carbonyl sulfide from optimality theory G. Wohlfahrt et al. 10.5194/bg-20-589-2023
- Carbon uptake of an urban green space inferred from carbonyl sulfide fluxes J. Soininen et al. 10.1038/s41612-025-00958-5
- Optimizing the carbonic anhydrase temperature response and stomatal conductance of carbonyl sulfide leaf uptake in the Simple Biosphere model (SiB4) A. Cho et al. 10.5194/bg-20-2573-2023
- Provincial anthropogenic emission inventory of carbonyl sulfide (COS) in China from 2015 to 2021 Y. Jiang et al. 10.1007/s11442-025-2352-1
- Intercomparison of methods to estimate gross primary production based on CO2 and COS flux measurements K. Kohonen et al. 10.5194/bg-19-4067-2022
- Remote sensing-based assessment of land degradation and drought impacts over terrestrial ecosystems in Northeastern Brazil M. de Oliveira et al. 10.1016/j.scitotenv.2022.155490
- Assessing and optimizing the potential for climate change mitigation and carbon sequestration in urban residential green spaces: energizing sustainable cities H. Liu et al. 10.3389/fenvs.2025.1519297
- Carbon and Water Fluxes of the Boreal Evergreen Needleleaf Forest Biome Constrained by Assimilating Ecosystem Carbonyl Sulfide Flux Observations C. Abadie et al. 10.1029/2023JG007407
- Assimilation of carbonyl sulfide (COS) fluxes within the adjoint-based data assimilation system – Nanjing University Carbon Assimilation System (NUCAS v1.0) H. Zhu et al. 10.5194/gmd-17-6337-2024
- Separating above-canopy CO2 and O2 measurements into their atmospheric and biospheric signatures K. Faassen et al. 10.5194/bg-21-3015-2024
- Optimizing the terrestrial ecosystem gross primary productivity using carbonyl sulfide (COS) within a two-leaf modeling framework H. Zhu et al. 10.5194/bg-21-3735-2024
12 citations as recorded by crossref.
- Diurnal variability of atmospheric O2, CO2, and their exchange ratio above a boreal forest in southern Finland K. Faassen et al. 10.5194/acp-23-851-2023
- Technical note: Novel estimates of the leaf relative uptake rate of carbonyl sulfide from optimality theory G. Wohlfahrt et al. 10.5194/bg-20-589-2023
- Carbon uptake of an urban green space inferred from carbonyl sulfide fluxes J. Soininen et al. 10.1038/s41612-025-00958-5
- Optimizing the carbonic anhydrase temperature response and stomatal conductance of carbonyl sulfide leaf uptake in the Simple Biosphere model (SiB4) A. Cho et al. 10.5194/bg-20-2573-2023
- Provincial anthropogenic emission inventory of carbonyl sulfide (COS) in China from 2015 to 2021 Y. Jiang et al. 10.1007/s11442-025-2352-1
- Intercomparison of methods to estimate gross primary production based on CO2 and COS flux measurements K. Kohonen et al. 10.5194/bg-19-4067-2022
- Remote sensing-based assessment of land degradation and drought impacts over terrestrial ecosystems in Northeastern Brazil M. de Oliveira et al. 10.1016/j.scitotenv.2022.155490
- Assessing and optimizing the potential for climate change mitigation and carbon sequestration in urban residential green spaces: energizing sustainable cities H. Liu et al. 10.3389/fenvs.2025.1519297
- Carbon and Water Fluxes of the Boreal Evergreen Needleleaf Forest Biome Constrained by Assimilating Ecosystem Carbonyl Sulfide Flux Observations C. Abadie et al. 10.1029/2023JG007407
- Assimilation of carbonyl sulfide (COS) fluxes within the adjoint-based data assimilation system – Nanjing University Carbon Assimilation System (NUCAS v1.0) H. Zhu et al. 10.5194/gmd-17-6337-2024
- Separating above-canopy CO2 and O2 measurements into their atmospheric and biospheric signatures K. Faassen et al. 10.5194/bg-21-3015-2024
- Optimizing the terrestrial ecosystem gross primary productivity using carbonyl sulfide (COS) within a two-leaf modeling framework H. Zhu et al. 10.5194/bg-21-3735-2024
Latest update: 18 May 2025
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.
Four different methods for quantifying photosynthesis (GPP) at ecosystem scale were tested, of...
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