Understanding the feedback mechanisms between roots and soil, and their effects on microbial communities, is crucial for predicting carbon cycling processes in agroecosystems. Process-based modeling is a valuable tool for quantifying biogeochemical processes and identifying regulatory mechanisms in the rhizosphere. A novel one-dimensional axisymmetric rhizosphere model is used to simulate the spatially resolved dynamics of microorganisms and soil organic matter turnover around a single root segment. The model accounts for two functional groups with different life history strategies (copiotrophs and oligotrophs), reflecting trade-offs in functional microbial traits related to substrate utilization and microbial metabolism. It considers differences in the accessibility of soil organic matter by including the microbial utilization of low and high molecular weight organic carbon compounds (LMW-OC, HMW-OC). The model was conditioned using Bayesian inference with constraint-based parameter sampling, which enabled the identification of parameter sets resulting in plausible model predictions in agreement with experimental evidence.

中文翻译：

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根际微生物相互作用和碳周转的基于性状的建模


了解根系和土壤之间的反馈机制及其对微生物群落的影响，对于预测农业生态系统中的碳循环过程至关重要。基于过程的建模是量化生物地球化学过程和识别根际调节机制的宝贵工具。使用一种新的一维轴对称根际模型来模拟微生物的空间分辨动力学和围绕单个根段的土壤有机质周转。该模型解释了具有不同生活史策略的两个功能组（共养生物和寡养生物），反映了与底物利用和微生物代谢相关的功能微生物性状的权衡。它通过包括低分子量和高分子量有机碳化合物 （LMW-OC， HMW-OC） 的微生物利用来考虑土壤有机质可及性的差异。该模型使用贝叶斯推理和基于约束的参数采样进行条件调节，这使得能够识别参数集，从而得出与实验证据一致的合理模型预测。