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Article Dans Une Revue Global Biogeochemical Cycles Année : 2016

Toward more realistic projections of soil carbon dynamics by Earth system models

Yiqi Luo
  • Fonction : Auteur
Victor Brovkin
Katerina Georgiou
Yujie He
  • Fonction : Auteur
Francesca Hopkins
  • Fonction : Auteur
Lifen Jiang
  • Fonction : Auteur
Chris Jones
Mark Lara
  • Fonction : Auteur
Junyi Liang
  • Fonction : Auteur
James Randerson
  • Fonction : Auteur
Alejandro Salazar
  • Fonction : Auteur
  • PersonId : 921153
Matthew Smith
Hanqin Tian
Katherine Todd-Brown
  • Fonction : Auteur
Margaret Torn
  • Fonction : Auteur
Kees Jan van Groenigen
  • Fonction : Auteur
Ying Ping Wang
  • Fonction : Auteur
Tristram West
  • Fonction : Auteur
Yaxing Wei
  • Fonction : Auteur
William Wieder
  • Fonction : Auteur
Xiaofeng Xu
Tao Zhou
  • Fonction : Auteur
  • PersonId : 761275
  • IdRef : 223505056

Résumé

Soil carbon (C) is a critical component of Earth system models (ESMs), and its diverse representations are a major source of the large spread across models in the terrestrial C sink from the third to fifth assessment reports of the Intergovernmental Panel on Climate Change (IPCC). Improving soil C projections is of a high priority for Earth system modeling in the future IPCC and other assessments. To achieve this goal, we suggest that (1) model structures should reflect real-world processes, (2) parameters should be calibrated to match model outputs with observations, and (3) external forcing variables should accurately prescribe the environmental conditions that soils experience. First, most soil C cycle models simulate C input from litter production and C release through decomposition. The latter process has traditionally been represented by first-order decay functions, regulated primarily by temperature, moisture, litter quality, and soil texture. While this formulation well captures macroscopic soil organic C (SOC) dynamics, better understanding is needed of their underlying mechanisms as related to microbial processes, depth-dependent environmental controls, and other processes that strongly affect soil C dynamics. Second, incomplete use of observations in model parameterization is a major cause of bias in soil C projections from ESMs. Optimal parameter calibration with both pool-and flux-based data sets through data assimilation is LUO ET AL. SOIL CARBON MODELING 40 PUBLICATIONS
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Dates et versions

hal-02922844 , version 1 (28-10-2020)

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Yiqi Luo, Anders Ahlström, Steven Allison, Niels Batjes, Victor Brovkin, et al.. Toward more realistic projections of soil carbon dynamics by Earth system models. Global Biogeochemical Cycles, 2016, 30 (1), pp.40-56. ⟨10.1002/2015GB005239⟩. ⟨hal-02922844⟩
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