Organic amendments are important to sustain soil organic matter (SOM) and soil functions in agricultural soils. Information about the contribution of organic amendments to SOM can be derived from incubation experiments. In this study, data from 72 incubated organic amendments including plant residues, digestates and manure were analysed. The incubation data was compiled from three experimental setups with varying incubation times, soils and incubation temperatures, in which CO₂ release was measured continuously. The analysis of the incubation data was performed with an approach relying on conceptual parts of C-TOOL, CCB, Century, ICBM, RothC and Yasso which are all well-approved first-order carbon models that differ in structure and abstraction level. All models are an approximation of reality, whereby each model differs in understanding of the processes involved in soil carbon dynamics. To accumulate the advantages from each model a model ensemble was performed for each substrate. With the ability of each carbon model to compute the distribution of carbon into specific SOM pools a new approach for evaluating organic amendments in terms of humus building efficiency is presented that, depends on the weighted model fit of each ensemble member. Depending on the organic substrate added to the soil, the time course of CO₂ release in the incubation studies was predicted with different accuracy by the individual model concepts. Averaging the output of the individual models leads to more robust prediction of SOM dynamics. The E_HUM value is easy to interpret and the results are in accordance with the literature.

中文翻译：

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一种确定孵化实验中有机改良剂腐殖质形成效率的模型集成方法

有机改良剂对于维持农业土壤中的土壤有机质 (SOM) 和土壤功能非常重要。有关有机修正对 SOM 的贡献的信息可以从孵化实验中得出。在这项研究中，分析了来自 72 种孵化有机改良剂的数据，包括植物残留物、消化物和粪便。孵化数据来自三个不同孵化时间、土壤和孵化温度的实验装置，其中 CO ₂连续测量释放。孵化数据的分析是通过依赖于 C-TOOL、CCB、Century、ICBM、RothC 和 Yasso 的概念部分的方法进行的，这些都是经过充分认可的一级碳模型，在结构和抽象级别上有所不同。所有模型都是对现实的近似，因此每个模型对土壤碳动力学所涉及的过程的理解不同。为了积累每个模型的优势，对每个基板进行了模型合奏。由于每个碳模型能够计算碳在特定 SOM 池中的分布，因此提出了一种根据腐殖质构建效率评估有机改良剂的新方法，该方法取决于每个集合成员的加权模型拟合。根据添加到土壤中的有机底物，CO 的时间过程各个模型概念以不同的准确度预测孵化研究中的_2释放。对各个模型的输出进行平均可以对 SOM 动态进行更稳健的预测。E _HUM值易于解释，结果与文献一致。