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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26310%2F23%3APU147421" target="_blank" >RIV/00216305:26310/23:PU147421 - isvavai.cz</a>

Alternative codes found

RIV/62156489:43210/23:43922252

Result on the web

<a href="https://link.springer.com/article/10.1007/s10973-022-11709-6#Ack1" target="_blank" >https://link.springer.com/article/10.1007/s10973-022-11709-6#Ack1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10973-022-11709-6" target="_blank" >10.1007/s10973-022-11709-6</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10500 - Earth and related environmental sciences

Project

<a href="/en/project/LO1211" target="_blank" >LO1211: Materials Research Centre at FCH BUT- Sustainability and Development</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Thermal Analysis and Calorimetry

ISSN

1388-6150

e-ISSN

1588-2926

Volume of the periodical

148

Issue of the periodical within the volume

4

Country of publishing house

HU - HUNGARY

Number of pages

13

Pages from-to

23-46

UT code for WoS article

000877997700002

EID of the result in the Scopus database

2-s2.0-85141220944