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ORCHIDEE-SOM : modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe
Camino Serrano, Marta (Centre de Recerca Ecològica i Aplicacions Forestals)
Guenet, Bertrand (Laboratoire des Sciences du Climat et de l'Environnement)
Luyssaert, Sebastiaan (University Amsterdam. Department of Ecological Sciences)
Ciais, Philippe (Laboratoire des Sciences du Climat et de L’Environnement)
Bastrikov, Vladislav (Laboratoire des Sciences du Climat et de L’Environnement)
De Vos, Bruno (INBO. Research Institute for Nature and Forest)
Gielen, Bert (University of Antwerp. Department of Biology)
Gleixner, Gerd (Max Planck Institute for Biogeochemistry)
Jornet-Puig, Albert (Laboratoire des Sciences du Climat et de l'Environment)
Kaiser, Klaus (Martin Luther University. Soil Science and Soil Protection)
Kothawala, Dolly (Evolutionary Biology Centre. Department of Limnology)
Lauerwald, Ronny (University of Exeter. College of Engineering, Mathematics and Physical Sciences)
Peñuelas, Josep (Centre de Recerca Ecològica i Aplicacions Forestals)
Schrumpf, Marion (Max Planck Institute for Biogeochemistry)
Vicca, Sara (Universiteit Antwerpen. Departement Biology)
Vuichard, Nicolas (Laboratoire des Sciences du Climat et de l'Environment)
Walmsley, David (Leuphana Universität Lüneburg. Institute of Ecology, Faculty of Sustainability)
Janssens, Ivan A. (Universiteit Antwerpen. Departement Biology)

Date: 2018
Abstract: Current land surface models (LSMs) typically represent soils in a very simplistic way, assuming soil organic carbon (SOC) as a bulk, and thus impeding a correct representation of deep soil carbon dynamics. Moreover, LSMs generally neglect the production and export of dissolved organic carbon (DOC) from soils to rivers, leading to overestimations of the potential carbon sequestration on land. This common oversimplified processing of SOC in LSMs is partly responsible for the large uncertainty in the predictions of the soil carbon response to climate change. In this study, we present a new soil carbon module called ORCHIDEE-SOM, embedded within the land surface model ORCHIDEE, which is able to reproduce the DOC and SOC dynamics in a vertically discretized soil to 2 m. The model includes processes of biological production and consumption of SOC and DOC, DOC adsorption on and desorption from soil minerals, diffusion of SOC and DOC, and DOC transport with water through and out of the soils to rivers. We evaluated ORCHIDEE-SOM against observations of DOC concentrations and SOC stocks from four European sites with different vegetation covers: a coniferous forest, a deciduous forest, a grassland, and a cropland. The model was able to reproduce the SOC stocks along their vertical profiles at the four sites and the DOC concentrations within the range of measurements, with the exception of the DOC concentrations in the upper soil horizon at the coniferous forest. However, the model was not able to fully capture the temporal dynamics of DOC concentrations. Further model improvements should focus on a plant- and depth-dependent parameterization of the new input model parameters, such as the turnover times of DOC and the microbial carbon use efficiency. We suggest that this new soil module, when parameterized for global simulations, will improve the representation of the global carbon cycle in LSMs, thus helping to constrain the predictions of the future SOC response to global warming.
Note: Número d'acord de subvenció EC/FP7/610028
Note: Número d'acord de subvenció EC/H2020/703813
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Language: Anglès
Document: article ; recerca ; publishedVersion
Published in: Geoscientific model development, Vol. 11, issue 3 (March 2018) , p. 937-957, ISSN 1991-959X

DOI: 10.5194/gmd-11-937-2018

21 p, 4.0 MB

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (scientific output) > Experimental sciences > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals) > Imbalance-P
Articles > Research articles
Articles > Published articles

 Record created 2018-04-25, last modified 2018-05-23

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