Modeling biochar effects on soil organic carbon on croplands in a microbial decomposition model (MIMICS-BC_v1.0) - Archive ouverte HAL
Article Dans Une Revue Geoscientific Model Development Année : 2024

Modeling biochar effects on soil organic carbon on croplands in a microbial decomposition model (MIMICS-BC_v1.0)

Mengjie Han
  • Fonction : Auteur
Qing Zhao
  • Fonction : Auteur
Xili Wang
  • Fonction : Auteur
Ying-Ping Wang
Haicheng Zhang
  • Fonction : Auteur
Lei Zhu
Zhe Zhao
  • Fonction : Auteur
Zhixuan Guo
  • Fonction : Auteur
Chen Wang
  • Fonction : Auteur
Wei Zhuang
  • Fonction : Auteur
Fengchang Wu
  • Fonction : Auteur
Wei Li

Résumé

Abstract. Biochar (BC) application to croplands aims to sequester carbon and improve soil quality, but its impact on soil organic carbon (SOC) dynamics is not represented in most land models used for assessing land-based climate change mitigation; therefore, we are unable to quantify the effects of biochar application under different climate or land management conditions. Here, to fill this gap, we implement a submodel to represent biochar in a microbial decomposition model named MIMICS (MIcrobial-MIneral Carbon Stabilization). We first calibrate and validate MIMICS with new representations of the density-dependent microbial turnover rate, adsorption of available organic carbon on mineral soil particles, and soil moisture effects on decomposition using global field-measured cropland SOC at 285 sites. We further integrate biochar in MIMICS by accounting for its effect on microbial decomposition and SOC sorption/desorption and optimize two biochar-related parameters in these processes using 134 paired SOC measurements with and without biochar addition. The MIMICS-biochar version can generally reproduce the short-term (≤ 6 years) and long-term (8 years) SOC changes after adding (mean addition rate of 25.6 t ha−1) biochar (R2= 0.79 and 0.97, respectively) with a low root-mean-square error (RMSE = 3.73 and 6.08 g kg−1, respectively). Our study incorporates sorption and soil moisture processes into MIMICS and extends its capacity to simulate biochar decomposition, providing a useful tool to couple with dynamic land models to evaluate the effectiveness of biochar application with respect to removing CO2 from the atmosphere.
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Dates et versions

hal-04621641 , version 1 (24-06-2024)

Identifiants

Citer

Mengjie Han, Qing Zhao, Xili Wang, Ying-Ping Wang, Philippe Ciais, et al.. Modeling biochar effects on soil organic carbon on croplands in a microbial decomposition model (MIMICS-BC_v1.0). Geoscientific Model Development, 2024, 17 (12), pp.4871 - 4890. ⟨10.5194/gmd-17-4871-2024⟩. ⟨hal-04621641⟩
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