home    about    browse    search    latest    help 
Login | Create Account

Permafrost soil complexity evaluated by laboratory imaging Vis‐NIR spectroscopy

Müller, Carsten W.; Steffens, Markus and Buddenbaum, Henning (2019) Permafrost soil complexity evaluated by laboratory imaging Vis‐NIR spectroscopy. European Journal of Soil Science, online, pp. 1-6.

[thumbnail of mueller-etal-2020-EurJSoilSci-p1-6_online-first.pdf] PDF - English
Available under License Creative Commons Attribution Non-commercial.


Document available online at: https://onlinelibrary.wiley.com/doi/full/10.1111/ejss.12927


The biogeochemical functioning of soils (e.g., soil carbon stabilization and nutrient cycling) is determined at the interfaces of specific soil structures (e.g., aggregates, particulate organic matter (POM) and organo‐mineral associations). With the growing accessibility of spectromicroscopic techniques, there is an increase in nano‐ to microscale analyses of biogeochemical interfaces at the process scale, reaching from the distribution of elements and isotopes to the localization of microorganisms. A widely used approach to study intact soil structures is the fixation and embedding of intact soil samples in resin and the subsequent analyses of soil cross‐sections using spectromicroscopic techniques. However, it is still challenging to link such microscale approaches to larger scales at which normally bulk soil analyses are conducted. Here we report on the use of laboratory imaging Vis–NIR spectroscopy on resin embedded soil sections and a procedure for supervised image classification to determine the microscale soil structure arrangement, including the quantification of soil organic matter fractions. This approach will help to upscale from microscale spectromicroscopic techniques to the centimetre and possibly pedon scale. Thus, we demonstrate a new approach to integrate microscale soil analyses into pedon‐scale conceptual and experimental approaches.

EPrint Type:Journal paper
Keywords:Alaska, HySpex, mineral associated organic matter, occluded particulate organic matter, particulate organic matter, pedogenic iron oxides, supervised image classification
Subjects: Knowledge management > Research methodology and philosophy > Specific methods
Research affiliation: Switzerland > FiBL - Research Institute of Organic Agriculture Switzerland > Soil Sciences
Germany > University of Munich - TUM
Germany > University of Trier
Deposited By: Forschungsinstitut für biologischen Landbau, FiBL
ID Code:36386
Deposited On:05 Mar 2020 13:56
Last Modified:07 Oct 2020 07:29
Document Language:English
Refereed:Peer-reviewed and accepted

Repository Staff Only: item control page


Downloads per month over past year

View more statistics