Microbial Models for Simulating Soil Carbon Dynamics: A Review
Microbial Models for Simulating Soil Carbon Dynamics: A Review
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DOI：
10.1029/2023jg007436
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发表时间：
2023-07
期刊：
影响因子：
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通讯作者：
Aneesh Kumar Chandel;Lifen Jiang;Yiqi Luo
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文献类型：
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作者：
Aneesh Kumar Chandel;Lifen Jiang;Yiqi Luo
土壤是生物圈中储存碳最多的地方，土壤中的碳库对全球碳平衡至关重要。在过去的几十年里，已经开发了许多微生物模型来代表调节土壤有机碳（SOC）对气候变化的响应的微生物过程。然而，微生物过程的代表性各不相同，如何将微生物过程纳入SOC模型还没有得到很好的探索。在这里，我们回顾了71个微生物模型，以表征纳入SOC模型的微生物过程，并分析了机械复杂性的变化。我们发现，（a）四个过程（微生物介导的分解，矿物质相互作用，微生物坏死物质再循环，以及活跃和休眠的微生物动力学）通常被纳入微生物模型，（B）大约48%的模型只模拟一个微生物过程（即，微生物介导的分解），35%的模型模拟了两种微生物过程：例如，微生物介导的分解和矿物相互作用，（c）超过80%的微生物模型使用非线性方程，例如前向Michaelis-Menten动力学，来表示SOC分解，（d）有机碳因其固有特性而持续存在的概念已被有机矿物相互作用所取代（约39%的微生物模型），保护SOC分解，和（e）各种温度和湿度调节剂和pH值的影响已被用来解释环境对微生物过程的影响。在未来，现实地将微生物过程纳入地球系统模型中，必须确定速率限制过程的实验证据，并根据现场和实验室数据确定模型结构。
Soils store the largest amount of carbon (C) in the biosphere, and the C pool in soil is critical to the global C balance. Numerous microbial models have been developed over the last few decades to represent microbial processes that regulate the responses of soil organic carbon (SOC) to climate change. However, the representation of microbial processes varies, and how microbial processes are incorporated into SOC models has not been well explored. Here, we reviewed 71 microbial models to characterize the microbial processes incorporated into SOC models and analyzed variations in mechanistic complexity. We revealed that (a) four processes (microbial‐mediated decomposition, mineral interaction, microbial necromass recycling, and active and dormant microbial dynamics) are commonly incorporated in microbial models, (b) ∼48% of models simulate only one microbial process (i.e., microbial‐mediated decomposition) and 35% of models simulate two microbial processes: for example, microbial‐mediated decomposition and mineral interaction, (c) more than 80% microbial models use nonlinear equations, such as forward Michaelis‐Menten kinetics, to represent SOC decomposition, (d) the concept of persistence of SOC due to its intrinsic properties has been replaced by organo‐mineral interaction (∼39% of microbial models) that protects SOC from decomposition, and (e) various temperature and moisture modifiers and pH effects have been used to explain the environmental effect on microbial processes. In the future, to realistically incorporate microbial processes into Earth System Models, it is imperative to identify experimental evidence on rate limitation processes and firmly ground model structure on the field and laboratory data.