Abstract. Thermogravimetry (TG) is a simple method that enables rapid analysis of soil properties such as the content of total organic C, nitrogen, clay and C fractions with different stability. However, the possible link between TG data and microbiological soil properties has not been systematically tested yet and limits TG application for soil and soil organic matter assessment. This work aimed to search and to validate relationships of thermal mass losses (TML) to total C and N contents, microbial biomass C and N, basal and substrate-induced respiration, extractable organic carbon content, anaerobic ammonification, urease activity, short-term nitrification activity, specific growth rate, and time to reach the maximum respiration rate for two sample sets of arable and grassland soils. Analyses of the training soil set revealed significant correlations of TML with basic soil properties such as carbon and nitrogen content with distinguishing linear regression parameters and temperatures of correlating mass losses for arable and grassland soils. In a second stage the equations of significant correlations were used for validation with an independent second sample set. This confirmed applicability of developed equations for prediction of microbiological properties mainly for arable soils. For grassland soils was the applicability lower, which was explained as the influence of rhizosphere processes. Nevertheless, the application of TG can facilitate the understanding of changes in soil caused by microorganism’s activity and the different regression equations between TG and soil parameters reflect changes in proportions between soil components caused by land use management.

中文翻译：

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与热重数据相关的草地和耕地土壤微生物特征：相关性、使用和限制

摘要。热重法 (TG) 是一种简单的方法，可以快速分析土壤特性，例如总有机碳、氮、粘土和具有不同稳定性的碳组分的含量。然而，TG 数据与土壤微生物特性之间可能存在的联系尚未得到系统测试，这限制了 TG 在土壤和土壤有机质评估中的应用。这项工作旨在搜索和验证热质量损失 (TML) 与总 C 和 N 含量、微生物生物量 C 和 N、基础和底物诱导的呼吸、可提取的有机碳含量、厌氧氨化、脲酶活性、短期两套耕地和草地土壤样品组的硝化活性、比生长速率和达到最大呼吸速率的时间。对训练土壤集的分析揭示了 TML 与基本土壤特性（如碳和氮含量）的显着相关性，以及与耕地和草地土壤的质量损失相关的线性回归参数和温度。在第二阶段，显着相关方程被用于验证独立的第二个样本集。这证实了主要用于耕地土壤微生物特性预测的已开发方程的适用性。对于草地土壤的适用性较低，这被解释为根际过程的影响。尽管如此，