Format du dépôt |
Fichier |
Type de dépôt |
Article dans une revue |
Titre |
en
Improved global-scale predictions of soil carbon stocks with Millennial Version 2
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Résumé |
en
Soil carbon (C) models are used to predict C sequestration responses to climate and land use change. Yet, the soil models embedded in Earth system models typically do not represent processes that reflect our current understanding of soil C cycling, such as microbial decomposition, mineral association, and aggregation. Rather, they rely on conceptual pools with turnover times that are fit to bulk C stocks and/or fluxes. As measurements of soil fractions become increasingly available, it is necessary for soil C models to represent these measurable quantities so that model processes can be evaluated more accurately. Here we present Version 2 (V2) of the Millennial model, a soil model developed to simulate C pools that can be measured by extraction or fractionation, including particulate organic C, mineral-associated organic C, aggregate C, microbial biomass, and low molecular weight C. Model processes have been updated to reflect the current understanding of mineral-association, temperature sensitivity and reaction kinetics, and different model structures were tested within an open-source framework. We evaluated the ability of Millennial V2 to simulate total soil organic C (SOC), as well as the mineral-associated and particulate fractions, using three independent data sets of soil fractionation measurements spanning a range of climate and geochemistry in Australia (N = 495), Europe (N = 175), and across the globe (N = 659). When using all the data together (N = 1329), the Millennial V2 model predicted SOC (RMSE = 3.3 kg C m−2, AIC = 675, = 0.31, = 0.26) better than the widely-used first-order decomposition model Century (RMSE = 3.4 kg C m−2, AIC = 696, = 0.21, = 0.18) across sites, despite the fact that Millennial V2 has an increase in process complexity and number of parameters compared to Century. Millennial V2 also reproduced the observed fraction of C in MAOM and larger particle size fractions for most latitudes and biomes, and allows for a more detailed understanding of the pools and processes that affect model performance. It is important to note that this study evaluates the spatial variation in C stock only, and that the temporal dynamics of Millennial V2 remain to be tested. The Millennial V2 model updates the conceptual Century model pools and processes and represents our current understanding of the roles that microbial activity, mineral association and aggregation play in soil C sequestration.
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Auteur(s)
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Rose Z Abramoff
1
, Bertrand Guenet
2
, Haicheng Zhang
3
, Katerina Georgiou
4, 5
, Xiaofeng Xu
6
, Raphael Viscarra Rossel
7
, Wenping Yuan
8
, Philippe Ciais
1
1
LSCE -
Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette]
( 518 )
- Bât. 12,
avenue de la Terrasse,
F-91198 GIF-SUR-YVETTE CEDEX
- France
-
Université de Versailles Saint-Quentin-en-Yvelines UMR8212 ( 81173 )
;
-
Institut national des sciences de l'Univers UMR8212 ( 300045 )
;
-
Université Paris-Saclay ( 419361 )
;
-
Centre National de la Recherche Scientifique UMR8212 ( 441569 )
;
-
Direction de Recherche Fondamentale (CEA) ( 465913 )
;
-
Commissariat à l'énergie atomique et aux énergies alternatives ( 300016 )
2
LGENS -
Laboratoire de géologie de l'ENS
( 1308 )
- 24 Rue Lhomond 75231 PARIS CEDEX 05
- France
-
Institut national des sciences de l'Univers ( 300045 )
;
-
Centre National de la Recherche Scientifique UMR8538 ( 441569 )
;
-
Département des Géosciences - ENS Paris ( 506084 )
;
-
École normale supérieure - Paris ( 59704 )
;
-
Université Paris Sciences et Lettres ( 564132 )
3
ULB -
Université libre de Bruxelles
( 303388 )
- Avenue Franklin Roosevelt 50 - 1050 Bruxelles
- Belgique
4
Stanford University
( 73500 )
- 450 Serra Mall, Stanford, CA 94305-2004
- États-Unis
5
LLNL -
Lawrence Livermore National Laboratory
( 34624 )
- 7000 East Avenue • Livermore, CA 94550
- États-Unis
6
SDSU -
San Diego State University
( 457856 )
- 5250 Campanile Drive, San Diego, CA 92182
- États-Unis
7
School of Earth and Planetary Science [Curtin university]
( 1006768 )
- Kent Street, Bentley, Perth, Western Australia 6102 / GPO Box U1987, Perth WA 6845
- Australie
-
Curtin University ( 464746 )
8
SYSU -
Sun Yat-sen University [Guangzhou]
( 351709 )
- 135 Xingang W Rd, Haizhu, Guangzhou, Guangdong, China
- Chine
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Licence |
Paternité
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Langue du document |
Anglais
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Nom de la revue |
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Vulgarisation |
Non
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Comité de lecture |
Oui
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Audience |
Internationale
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Page/Identifiant |
108466
|
Date de publication |
2022
|
Volume |
164
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Domaine(s) |
-
Planète et Univers [physics]/Océan, Atmosphère
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Planète et Univers [physics]/Interfaces continentales, environnement
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Financement |
-
R.Z.A. thanks Jinyun Tang and Elisa Thébault for helpful discussion about model formulation. R.Z.A. was supported by the French government grant “Make Our Planet Great Again” and by a Marie Skłodowska–Curie Individual Fellowship (Grant no. 834-169) from the European Union's Horizon 2020 program. K.G. was supported as a Lawrence Fellow at Lawrence Livermore National Lab (LLNL) by the LLNL-LDRD Program under Project No. 21-ERD-045 and the US DOE Office of Science, Office of Biological and Environmental Research, Genomic Science Program as part of the LLNL Microbes Persist Scientific Focus Area, SCW1632. Work at LLNL was conducted under the auspices of US DOE Contract DE-AC52-07NA27344. X.X. has been supported by the ORNL Terrestrial Ecosystem Science Scientific Focus Area (ORNL TES-SFA) and NGEE Arctic projects and DE-SC0014416, which are supported by the Office of Biological and Environmental Research in the Department of Energy Office of Science.
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Projet(s) Européen(s) |
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FlexMod
- A Flexible, Data-driven Model Framework to Predict Soil Responses to Land-use and Climate Change
Numéro CORDIS :
834169
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Mots-clés |
en
Soil carbon modeling, Microbial decomposition, Mineral association, Soil organic carbon stocks
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DOI |
10.1016/j.soilbio.2021.108466 |