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Including Stable Carbon Isotopes to Evaluate the Dynamics of Soil Carbon in the Land‐Surface Model ORCHIDEE

Soil organic carbon (SOC) is a crucial component of the terrestrial carbon cycle and its turnover time in models is a key source of uncertainty. Studies have highlighted the utility of δ(13)C measurements for benchmarking SOC turnover in global models. We used (13)C as a tracer within a vertically d...

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Autores principales: Camino‐Serrano, Marta, Tifafi, Marwa, Balesdent, Jérôme, Hatté, Christine, Peñuelas, Josep, Cornu, Sophie, Guenet, Bertrand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988498/
https://www.ncbi.nlm.nih.gov/pubmed/32025279
http://dx.doi.org/10.1029/2018MS001392
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author Camino‐Serrano, Marta
Tifafi, Marwa
Balesdent, Jérôme
Hatté, Christine
Peñuelas, Josep
Cornu, Sophie
Guenet, Bertrand
author_facet Camino‐Serrano, Marta
Tifafi, Marwa
Balesdent, Jérôme
Hatté, Christine
Peñuelas, Josep
Cornu, Sophie
Guenet, Bertrand
author_sort Camino‐Serrano, Marta
collection PubMed
description Soil organic carbon (SOC) is a crucial component of the terrestrial carbon cycle and its turnover time in models is a key source of uncertainty. Studies have highlighted the utility of δ(13)C measurements for benchmarking SOC turnover in global models. We used (13)C as a tracer within a vertically discretized soil module of a land‐surface model, Organising Carbon and Hydrology In Dynamic Ecosystems‐ Soil Organic Matter (ORCHIDEE‐SOM). Our new module represents some of the processes that have been hypothesized to lead to a (13)C enrichment with soil depth as follows: 1) the Suess effect and CO(2) fertilization, 2) the relative (13)C enrichment of roots compared to leaves, and 3) (13)C discrimination associated with microbial activity. We tested if the upgraded soil module was able to reproduce the vertical profile of δ(13)C within the soil column at two temperate sites and the short‐term change in the isotopic signal of soil after a shift in C3/C4 vegetation. We ran the model over Europe to test its performance at larger scale. The model was able to simulate a shift in the isotopic signal due to short‐term changes in vegetation cover from C3 to C4; however, it was not able to reproduce the overall vertical profile in soil δ(13)C, which arises as a combination of short and long‐term processes. At the European scale, the model ably reproduced soil CO(2) fluxes and total SOC stock. These findings stress the importance of the long‐term history of land cover for simulating vertical profiles of δ(13)C. This new soil module is an emerging tool for the diagnosis and improvement of global SOC models.
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spelling pubmed-69884982020-02-03 Including Stable Carbon Isotopes to Evaluate the Dynamics of Soil Carbon in the Land‐Surface Model ORCHIDEE Camino‐Serrano, Marta Tifafi, Marwa Balesdent, Jérôme Hatté, Christine Peñuelas, Josep Cornu, Sophie Guenet, Bertrand J Adv Model Earth Syst Research Articles Soil organic carbon (SOC) is a crucial component of the terrestrial carbon cycle and its turnover time in models is a key source of uncertainty. Studies have highlighted the utility of δ(13)C measurements for benchmarking SOC turnover in global models. We used (13)C as a tracer within a vertically discretized soil module of a land‐surface model, Organising Carbon and Hydrology In Dynamic Ecosystems‐ Soil Organic Matter (ORCHIDEE‐SOM). Our new module represents some of the processes that have been hypothesized to lead to a (13)C enrichment with soil depth as follows: 1) the Suess effect and CO(2) fertilization, 2) the relative (13)C enrichment of roots compared to leaves, and 3) (13)C discrimination associated with microbial activity. We tested if the upgraded soil module was able to reproduce the vertical profile of δ(13)C within the soil column at two temperate sites and the short‐term change in the isotopic signal of soil after a shift in C3/C4 vegetation. We ran the model over Europe to test its performance at larger scale. The model was able to simulate a shift in the isotopic signal due to short‐term changes in vegetation cover from C3 to C4; however, it was not able to reproduce the overall vertical profile in soil δ(13)C, which arises as a combination of short and long‐term processes. At the European scale, the model ably reproduced soil CO(2) fluxes and total SOC stock. These findings stress the importance of the long‐term history of land cover for simulating vertical profiles of δ(13)C. This new soil module is an emerging tool for the diagnosis and improvement of global SOC models. John Wiley and Sons Inc. 2019-11-17 2019-11 /pmc/articles/PMC6988498/ /pubmed/32025279 http://dx.doi.org/10.1029/2018MS001392 Text en ©2019. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Camino‐Serrano, Marta
Tifafi, Marwa
Balesdent, Jérôme
Hatté, Christine
Peñuelas, Josep
Cornu, Sophie
Guenet, Bertrand
Including Stable Carbon Isotopes to Evaluate the Dynamics of Soil Carbon in the Land‐Surface Model ORCHIDEE
title Including Stable Carbon Isotopes to Evaluate the Dynamics of Soil Carbon in the Land‐Surface Model ORCHIDEE
title_full Including Stable Carbon Isotopes to Evaluate the Dynamics of Soil Carbon in the Land‐Surface Model ORCHIDEE
title_fullStr Including Stable Carbon Isotopes to Evaluate the Dynamics of Soil Carbon in the Land‐Surface Model ORCHIDEE
title_full_unstemmed Including Stable Carbon Isotopes to Evaluate the Dynamics of Soil Carbon in the Land‐Surface Model ORCHIDEE
title_short Including Stable Carbon Isotopes to Evaluate the Dynamics of Soil Carbon in the Land‐Surface Model ORCHIDEE
title_sort including stable carbon isotopes to evaluate the dynamics of soil carbon in the land‐surface model orchidee
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988498/
https://www.ncbi.nlm.nih.gov/pubmed/32025279
http://dx.doi.org/10.1029/2018MS001392
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