Can we model observed soil carbon changes from a dense inventory? A case study over England and Wales using three versions of the ORCHIDEE ecosystem model (AR5, AR5-PRIM and O-CN)
A widespread decrease of the topsoil carbon content was observed over England and Wales during the period 1978–2003 in the National Soil Inventory (NSI), amounting to a carbon loss of 4.44 Tg yr<sup>−1</sup> over 141 550 km<sup>2</sup>. Subsequent modelling studies have shown...
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Copernicus Publications
2013-12-01
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Series: | Geoscientific Model Development |
Online Access: | http://www.geosci-model-dev.net/6/2153/2013/gmd-6-2153-2013.pdf |
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author | B. Guenet F. E. Moyano N. Vuichard G. J. D. Kirk P. H. Bellamy S. Zaehle P. Ciais |
author_facet | B. Guenet F. E. Moyano N. Vuichard G. J. D. Kirk P. H. Bellamy S. Zaehle P. Ciais |
author_sort | B. Guenet |
collection | DOAJ |
description | A widespread decrease of the topsoil carbon content was observed over
England and Wales during the period 1978–2003 in the National Soil Inventory
(NSI), amounting to a carbon loss of 4.44 Tg yr<sup>−1</sup> over 141 550 km<sup>2</sup>.
Subsequent modelling studies have shown that changes in temperature and
precipitation could only account for a small part of the observed decrease,
and therefore that changes in land use and management and resulting changes
in heterotrophic respiration or net primary productivity were the main
causes. So far, all the models used to reproduce the NSI data have not
accounted for plant–soil interactions and have only been soil carbon models with
carbon inputs forced by data. Here, we use three different versions of a
process-based coupled soil–vegetation model called ORCHIDEE (Organizing Carbon and Hydrology in Dynamic Ecosystems), in order to
separate the effect of trends in soil carbon input from soil carbon
mineralization induced by climate trends over 1978–2003. The first version
of the model (ORCHIDEE-AR5), used for IPCC-AR5 CMIP5 Earth System
simulations, is based on three soil carbon pools defined with first-order
decomposition kinetics, as in the CENTURY model. The second version
(ORCHIDEE-AR5-PRIM) built for this study includes a relationship between
litter carbon and decomposition rates, to reproduce a priming effect on
decomposition. The last version (O-CN) takes into account N-related
processes. Soil carbon decomposition in O-CN is based on CENTURY, but adds N
limitations on litter decomposition. We performed regional gridded
simulations with these three versions of the ORCHIDEE model over England and
Wales. None of the three model versions was able to reproduce the observed
NSI soil carbon trend. This suggests either that climate change is not the
main driver for observed soil carbon losses or that the ORCHIDEE model even
with priming or N effects on decomposition lacks the basic mechanisms to
explain soil carbon change in response to climate, which would raise a
caution flag about the ability of this type of model to project soil carbon
changes in response to future warming. A third possible explanation could be
that the NSI measurements made on the topsoil are not representative of the
total soil carbon losses integrated over the entire soil depth, and thus
cannot be compared with the model output. |
first_indexed | 2024-12-11T13:42:36Z |
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id | doaj.art-48510be65b834fa5ba888e32e7da8b9c |
institution | Directory Open Access Journal |
issn | 1991-959X 1991-9603 |
language | English |
last_indexed | 2024-12-11T13:42:36Z |
publishDate | 2013-12-01 |
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series | Geoscientific Model Development |
spelling | doaj.art-48510be65b834fa5ba888e32e7da8b9c2022-12-22T01:04:42ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032013-12-01662153216310.5194/gmd-6-2153-2013Can we model observed soil carbon changes from a dense inventory? A case study over England and Wales using three versions of the ORCHIDEE ecosystem model (AR5, AR5-PRIM and O-CN)B. Guenet0F. E. Moyano1N. Vuichard2G. J. D. Kirk3P. H. Bellamy4S. Zaehle5P. Ciais6Unité Mixte de Recherche CEA-CNRS-UVSQ, UMR8212, Laboratoire des Sciences du Climat et de l'Environnement, 91191 Gif-sur-Yvette, FranceCNRS-BIOEMCO, UMR 7618, Bâtiment EGER, 78850 Thiverval Grignon, FranceUnité Mixte de Recherche CEA-CNRS-UVSQ, UMR8212, Laboratoire des Sciences du Climat et de l'Environnement, 91191 Gif-sur-Yvette, FranceNational Soil Resources Institute, Department of Environmental Science and Technology, Cranfield University, Cranfield, UKNational Soil Resources Institute, Department of Environmental Science and Technology, Cranfield University, Cranfield, UKMax Planck Institute for Biogeochemistry, Department for Biogeochemical Systems, Hans-Knöll-Str. 10, 07745 Jena, GermanyUnité Mixte de Recherche CEA-CNRS-UVSQ, UMR8212, Laboratoire des Sciences du Climat et de l'Environnement, 91191 Gif-sur-Yvette, FranceA widespread decrease of the topsoil carbon content was observed over England and Wales during the period 1978–2003 in the National Soil Inventory (NSI), amounting to a carbon loss of 4.44 Tg yr<sup>−1</sup> over 141 550 km<sup>2</sup>. Subsequent modelling studies have shown that changes in temperature and precipitation could only account for a small part of the observed decrease, and therefore that changes in land use and management and resulting changes in heterotrophic respiration or net primary productivity were the main causes. So far, all the models used to reproduce the NSI data have not accounted for plant–soil interactions and have only been soil carbon models with carbon inputs forced by data. Here, we use three different versions of a process-based coupled soil–vegetation model called ORCHIDEE (Organizing Carbon and Hydrology in Dynamic Ecosystems), in order to separate the effect of trends in soil carbon input from soil carbon mineralization induced by climate trends over 1978–2003. The first version of the model (ORCHIDEE-AR5), used for IPCC-AR5 CMIP5 Earth System simulations, is based on three soil carbon pools defined with first-order decomposition kinetics, as in the CENTURY model. The second version (ORCHIDEE-AR5-PRIM) built for this study includes a relationship between litter carbon and decomposition rates, to reproduce a priming effect on decomposition. The last version (O-CN) takes into account N-related processes. Soil carbon decomposition in O-CN is based on CENTURY, but adds N limitations on litter decomposition. We performed regional gridded simulations with these three versions of the ORCHIDEE model over England and Wales. None of the three model versions was able to reproduce the observed NSI soil carbon trend. This suggests either that climate change is not the main driver for observed soil carbon losses or that the ORCHIDEE model even with priming or N effects on decomposition lacks the basic mechanisms to explain soil carbon change in response to climate, which would raise a caution flag about the ability of this type of model to project soil carbon changes in response to future warming. A third possible explanation could be that the NSI measurements made on the topsoil are not representative of the total soil carbon losses integrated over the entire soil depth, and thus cannot be compared with the model output.http://www.geosci-model-dev.net/6/2153/2013/gmd-6-2153-2013.pdf |
spellingShingle | B. Guenet F. E. Moyano N. Vuichard G. J. D. Kirk P. H. Bellamy S. Zaehle P. Ciais Can we model observed soil carbon changes from a dense inventory? A case study over England and Wales using three versions of the ORCHIDEE ecosystem model (AR5, AR5-PRIM and O-CN) Geoscientific Model Development |
title | Can we model observed soil carbon changes from a dense inventory? A case study over England and Wales using three versions of the ORCHIDEE ecosystem model (AR5, AR5-PRIM and O-CN) |
title_full | Can we model observed soil carbon changes from a dense inventory? A case study over England and Wales using three versions of the ORCHIDEE ecosystem model (AR5, AR5-PRIM and O-CN) |
title_fullStr | Can we model observed soil carbon changes from a dense inventory? A case study over England and Wales using three versions of the ORCHIDEE ecosystem model (AR5, AR5-PRIM and O-CN) |
title_full_unstemmed | Can we model observed soil carbon changes from a dense inventory? A case study over England and Wales using three versions of the ORCHIDEE ecosystem model (AR5, AR5-PRIM and O-CN) |
title_short | Can we model observed soil carbon changes from a dense inventory? A case study over England and Wales using three versions of the ORCHIDEE ecosystem model (AR5, AR5-PRIM and O-CN) |
title_sort | can we model observed soil carbon changes from a dense inventory a case study over england and wales using three versions of the orchidee ecosystem model ar5 ar5 prim and o cn |
url | http://www.geosci-model-dev.net/6/2153/2013/gmd-6-2153-2013.pdf |
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