Practical applications of thermogravimetry in soil science: Part 5. Linking the microbial soil characteristics of grassland and arable soils to thermogravimetry data

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Helena Doležalová-Weissmannová - , Brno University of Technology (Author)
  • Stanislav Malý - , Central Institute for Supervising and Testing in Agriculture (Author)
  • Martin Brtnický - , Brno University of Technology, Mendel University in Brno (Author)
  • Jiří Holátko - , Mendel University in Brno (Author)
  • Michael Scott Demyan - , Ohio State University (Author)
  • Christian Siewert - , Technical University of Berlin, TUD Dresden University of Technology (Author)
  • David Tokarski - , Chair of Soil Resources and Land Use, LKS–Landwirtschaftliche Kommunikations- und Servicegesellschaft mbH (Author)
  • Eliška Kameníková - , Brno University of Technology (Author)
  • Jiří Kučerík - , Brno University of Technology (Author)

Abstract

Thermogravimetry (TG) is a simple method that enables rapid analysis of soil properties such as 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, which 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.

Details

Original languageEnglish
Pages (from-to)1599-1611
Number of pages13
JournalJournal of Thermal Analysis and Calorimetry
Volume148
Issue number4
Publication statusPublished - Feb 2023
Peer-reviewedYes

Keywords

Sustainable Development Goals

Keywords

  • Arable, Correlation, Grassland, Soil microbiological characteristics, Thermogravimetry