Articles | Volume 11, issue 3
https://doi.org/10.5194/gmd-11-937-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-937-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
ORCHIDEE-SOM: modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe
Marta Camino-Serrano
CORRESPONDING AUTHOR
CREAF, Cerdanyola del Vallès, 08193, Catalonia, Spain
CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra 08193, Catalonia, Spain
Bertrand Guenet
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université
Paris-Saclay, 91191 Gif-sur-Yvette, France
Sebastiaan Luyssaert
Department of Ecological Sciences, Free University Amsterdam (VUAmsterdam), De Boelelaan 1085, 1081 HV Amsterdam, the Netherlands
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université
Paris-Saclay, 91191 Gif-sur-Yvette, France
Vladislav Bastrikov
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université
Paris-Saclay, 91191 Gif-sur-Yvette, France
Bruno De Vos
INBO, Research Institute for Nature and Forest, Gaverstraat 4, 9500 Geraardsbergen, Belgium
Bert Gielen
Department of Biology, Research Group of Plant and Vegetation Ecology, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium
Gerd Gleixner
Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße 10, 07745 Jena, Germany
Albert Jornet-Puig
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université
Paris-Saclay, 91191 Gif-sur-Yvette, France
Klaus Kaiser
Soil Science and Soil Protection, Martin Luther University Halle-Wittenberg, von-Seckendorff-Platz 3, 06120 Halle (Saale), Germany
Dolly Kothawala
Department of Limnology, Evolutionary Biology Centre, Norbyvägen 18D, Uppsala University, Uppsala, 75236, Sweden
Ronny Lauerwald
Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QE, UK
Josep Peñuelas
CREAF, Cerdanyola del Vallès, 08193, Catalonia, Spain
CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra 08193, Catalonia, Spain
Marion Schrumpf
Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße 10, 07745 Jena, Germany
Sara Vicca
Department of Biology, Research Group of Plant and Vegetation Ecology, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium
Nicolas Vuichard
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université
Paris-Saclay, 91191 Gif-sur-Yvette, France
David Walmsley
Institute of Ecology, Faculty of Sustainability, Leuphana University of Lüneburg, Universitätsallee 1, 21335 Lüneburg, Germany
Ivan A. Janssens
Department of Biology, Research Group of Plant and Vegetation Ecology, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium
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- Effects of soil process formalisms and forcing factors on simulated organic carbon depth-distributions in soils S. Keyvanshokouhi et al. 10.1016/j.scitotenv.2018.10.236
- KEYLINK: towards a more integrative soil representation for inclusion in ecosystem scale models—II: model description, implementation and testing O. Flores et al. 10.7717/peerj.10707
- Experimental drought increased the belowground sink strength towards higher topsoil organic carbon stocks in a temperate mature forest M. Brunn et al. 10.1016/j.geoderma.2023.116356
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- Long-term rise in riverine dissolved organic carbon concentration is predicted by electrolyte solubility theory D. Monteith et al. 10.1126/sciadv.ade3491
- Linking thermogravimetric data with soil organic carbon fractions D. Tokarski et al. 10.1016/j.geoderma.2019.114124
- Global Simulation and Evaluation of Soil Organic Matter and Microbial Carbon and Nitrogen Stocks Using the Microbial Decomposition Model ORCHIMIC v2.0 Y. Huang et al. 10.1029/2020GB006836
- Modeling dissolved and particulate organic carbon dynamics at basin and sub-basin scales F. Di Grazia et al. 10.1016/j.scitotenv.2023.163840
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- Assessing GHG cycling in agricultural and riparian soils using a uniform reactive transport modeling approach M. Jia et al. 10.1016/j.geoderma.2022.116078
- Modelling Dissolved Organic Carbon Production in Coniferous Forest Soils G. Ågren et al. 10.2136/sssaj2017.11.0407
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- Description of local carbon flux from large scale gridded climate data by a dynamic global vegetation model at variable time steps: Example of Euroflux sites M. Wang et al. 10.1016/j.scitotenv.2020.143492
- The use of radiocarbon <sup>14</sup>C to constrain carbon dynamics in the soil module of the land surface model ORCHIDEE (SVN r5165) M. Tifafi et al. 10.5194/gmd-11-4711-2018
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- A Terrestrial‐Aquatic Model Reveals Cross‐Scale Interactions Regulate Lateral Dissolved Organic Carbon Transport From Terrestrial Ecosystems C. Talbot et al. 10.1029/2021JG006604
- Global depth distribution of belowground net primary productivity and its drivers L. Xiao et al. 10.1111/geb.13705
- Including Stable Carbon Isotopes to Evaluate the Dynamics of Soil Carbon in the Land‐Surface Model ORCHIDEE M. Camino‐Serrano et al. 10.1029/2018MS001392
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- ORCHIDEE MICT-LEAK (r5459), a global model for the production, transport, and transformation of dissolved organic carbon from Arctic permafrost regions – Part 1: Rationale, model description, and simulation protocol S. Bowring et al. 10.5194/gmd-12-3503-2019
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Latest update: 26 Sep 2023
Short summary
Global models generally oversimplify the representation of soil organic carbon (SOC), and thus its response to global warming remains uncertain. We present the new soil module ORCHIDEE-SOM, within the global model ORCHIDEE, that refines the representation of SOC dynamics and includes the dissolved organic carbon (DOC) processes. The model is able to reproduce SOC stocks and DOC concentrations in four different ecosystems, opening an opportunity for improved predictions of SOC in global models.
Global models generally oversimplify the representation of soil organic carbon (SOC), and thus...