Permafrost soil complexity evaluated by laboratory imaging Vis‐NIR spectroscopy
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 techni...
Main Authors: | , , |
---|---|
Other Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Burleigh Dodds Science Publishing Limited
2019
|
Subjects: | |
Online Access: | https://orgprints.org/id/eprint/36386/ |
id |
ftorgprints:oai:orgprints.org:36386 |
---|---|
record_format |
openpolar |
spelling |
ftorgprints:oai:orgprints.org:36386 2023-05-15T17:57:50+02:00 Permafrost soil complexity evaluated by laboratory imaging Vis‐NIR spectroscopy Müller, Carsten W. Steffens, Markus Buddenbaum, Henning Vaarst, Mette Roderick, Stephen 2019 application/pdf https://orgprints.org/id/eprint/36386/ en eng Burleigh Dodds Science Publishing Limited /id/eprint/36386/1/mueller-etal-2020-EurJSoilSci-p1-6_online-first.pdf 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. urn:ISBN:978-1-78676-180-4 cc_by_nc_4 CC-BY-NC Specific methods Soil Journal paper NonPeerReviewed 2019 ftorgprints 2022-12-11T07:03:22Z 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. Article in Journal/Newspaper permafrost Organic Eprints (Danish Research Centre for Organic Farming, DARCOF) |
institution |
Open Polar |
collection |
Organic Eprints (Danish Research Centre for Organic Farming, DARCOF) |
op_collection_id |
ftorgprints |
language |
English |
topic |
Specific methods Soil |
spellingShingle |
Specific methods Soil Müller, Carsten W. Steffens, Markus Buddenbaum, Henning Permafrost soil complexity evaluated by laboratory imaging Vis‐NIR spectroscopy |
topic_facet |
Specific methods Soil |
description |
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. |
author2 |
Vaarst, Mette Roderick, Stephen |
format |
Article in Journal/Newspaper |
author |
Müller, Carsten W. Steffens, Markus Buddenbaum, Henning |
author_facet |
Müller, Carsten W. Steffens, Markus Buddenbaum, Henning |
author_sort |
Müller, Carsten W. |
title |
Permafrost soil complexity evaluated by laboratory imaging Vis‐NIR spectroscopy |
title_short |
Permafrost soil complexity evaluated by laboratory imaging Vis‐NIR spectroscopy |
title_full |
Permafrost soil complexity evaluated by laboratory imaging Vis‐NIR spectroscopy |
title_fullStr |
Permafrost soil complexity evaluated by laboratory imaging Vis‐NIR spectroscopy |
title_full_unstemmed |
Permafrost soil complexity evaluated by laboratory imaging Vis‐NIR spectroscopy |
title_sort |
permafrost soil complexity evaluated by laboratory imaging vis‐nir spectroscopy |
publisher |
Burleigh Dodds Science Publishing Limited |
publishDate |
2019 |
url |
https://orgprints.org/id/eprint/36386/ |
genre |
permafrost |
genre_facet |
permafrost |
op_relation |
/id/eprint/36386/1/mueller-etal-2020-EurJSoilSci-p1-6_online-first.pdf 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. urn:ISBN:978-1-78676-180-4 |
op_rights |
cc_by_nc_4 |
op_rightsnorm |
CC-BY-NC |
_version_ |
1766166346605789184 |