Challenges and strategies in estimating soil organic carbon for multi-cropping systems: a review

作者：Zhiyuan Bai, Datong Zhang, Zechen Wang, Matthew Tom Harrison, Ke Liu, Zhenwei Song, Fu Chen, Xiaogang Yin · 发表于：Carbon Footprints · 年份：2024 · DOI：10.20517/cf.2024.15 · 被引用次数：13 · 研究领域：Soil Carbon and Nitrogen Dynamics、Bioenergy crop production and management、Rice Cultivation and Yield Improvement

Multi-cropping systems play a crucial role in global agricultural production. Accurately estimating the soil carbon sequestration capacity of multi-cropping systems is of significant importance for enhancing agricultural productivity, mitigating greenhouse gas emissions, and reducing carbon footprint. However, soil carbon cycling is more complex in multi-cropping systems compared with single-cropping systems, and existing assessment methods cannot accurately estimate soil carbon sequestration in multi-cropping systems with high operability. Here, we reviewed the accuracy and efficiency of the three primary global soil carbon assessment methods, including statistical models, process-based models, and the Intergovernmental Panel on Climate Change (IPCC) steady-state method. Our study concludes that it is difficult to simulate the dynamic evolution of soil organic carbon (SOC) using the statistical models, while the well simulation through process-based models demands a large amount of data. Additionally, the IPCC Tier 2 method cannot be directly applied to estimate SOC in multi-cropping systems due to mismatches in parameters and time steps. We suggest modifying the structures and parameters of the IPCC Tier 2 method by revising the inventory unit and redetermining the parameter values, which should efficiently address its bottleneck in estimating SOC for multi-cropping systems. Moreover, long-term experimental observations and multi-model ensemble simulations are beneficial fo...