Localization of soil organic matter in soil aggregates using synchrotron-based X-ray microtomography

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Stephan Peth
  • Claire Chenu
  • Nelly Leblond
  • Anneka Mordhorst
  • Patricia Garnier
  • Naoise Nunan
  • Valérie Pot
  • Malte Ogurreck
  • Felix Beckmann

Externe Organisationen

  • Universität Kassel
  • AgroParisTech - Université Paris-Saclay
  • Christian-Albrechts-Universität zu Kiel (CAU)
  • Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE)
  • Helmholtz-Zentrum Geesthacht Zentrum für Material- und Küstenforschung GmbH
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Details

OriginalspracheEnglisch
Seiten (von - bis)189-194
Seitenumfang6
FachzeitschriftSoil Biology and Biochemistry
Jahrgang78
PublikationsstatusVeröffentlicht - Nov. 2014
Extern publiziertJa

Abstract

Modelling carbon mineralisation in natural soils is a major topic in soil and climate research. Current models need to be improved to include soil structure as an influencing factor to better predict C fluxes between pedosphere and atmosphere and to estimate carbon sequestration potentials. Geometry-based mechanistic modelling approaches have recently been developed to systematically study the effect of soil structure on carbon decomposition. Such models require spatially explicit input parameters describing the architecture of the pore space and the heterogeneous distribution of microbes and organic matter as decomposable substrate. The latter is very difficult to determine in situ, resulting in increased uncertainty in the models. To obtain more realistic input data, we have developed a novel approach to locate soil organic matter (SOM) in undisturbed aggregates of soil using a combination of synchrotron-based X-ray microtomography and osmium as a staining agent for SOM. Here, we present the first results using 5mm sized soil aggregate samples with contrasting C-contents in which we obtained maps of organic matter distributions in relation to the pore networks at the aggregate scale.

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Localization of soil organic matter in soil aggregates using synchrotron-based X-ray microtomography. / Peth, Stephan; Chenu, Claire; Leblond, Nelly et al.
in: Soil Biology and Biochemistry, Jahrgang 78, 11.2014, S. 189-194.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Peth, S, Chenu, C, Leblond, N, Mordhorst, A, Garnier, P, Nunan, N, Pot, V, Ogurreck, M & Beckmann, F 2014, 'Localization of soil organic matter in soil aggregates using synchrotron-based X-ray microtomography', Soil Biology and Biochemistry, Jg. 78, S. 189-194. https://doi.org/10.1016/j.soilbio.2014.07.024
Peth, S., Chenu, C., Leblond, N., Mordhorst, A., Garnier, P., Nunan, N., Pot, V., Ogurreck, M., & Beckmann, F. (2014). Localization of soil organic matter in soil aggregates using synchrotron-based X-ray microtomography. Soil Biology and Biochemistry, 78, 189-194. https://doi.org/10.1016/j.soilbio.2014.07.024
Peth S, Chenu C, Leblond N, Mordhorst A, Garnier P, Nunan N et al. Localization of soil organic matter in soil aggregates using synchrotron-based X-ray microtomography. Soil Biology and Biochemistry. 2014 Nov;78:189-194. doi: 10.1016/j.soilbio.2014.07.024
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title = "Localization of soil organic matter in soil aggregates using synchrotron-based X-ray microtomography",
abstract = "Modelling carbon mineralisation in natural soils is a major topic in soil and climate research. Current models need to be improved to include soil structure as an influencing factor to better predict C fluxes between pedosphere and atmosphere and to estimate carbon sequestration potentials. Geometry-based mechanistic modelling approaches have recently been developed to systematically study the effect of soil structure on carbon decomposition. Such models require spatially explicit input parameters describing the architecture of the pore space and the heterogeneous distribution of microbes and organic matter as decomposable substrate. The latter is very difficult to determine in situ, resulting in increased uncertainty in the models. To obtain more realistic input data, we have developed a novel approach to locate soil organic matter (SOM) in undisturbed aggregates of soil using a combination of synchrotron-based X-ray microtomography and osmium as a staining agent for SOM. Here, we present the first results using 5mm sized soil aggregate samples with contrasting C-contents in which we obtained maps of organic matter distributions in relation to the pore networks at the aggregate scale.",
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author = "Stephan Peth and Claire Chenu and Nelly Leblond and Anneka Mordhorst and Patricia Garnier and Naoise Nunan and Val{\'e}rie Pot and Malte Ogurreck and Felix Beckmann",
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AU - Peth, Stephan

AU - Chenu, Claire

AU - Leblond, Nelly

AU - Mordhorst, Anneka

AU - Garnier, Patricia

AU - Nunan, Naoise

AU - Pot, Valérie

AU - Ogurreck, Malte

AU - Beckmann, Felix

N1 - Funding Information: This research was supported by the Helmholtz-Association (contract no. I-2010-0144 ) and the german academic exchange service (DAAD : Procope 56477905 ).

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Y1 - 2014/11

N2 - Modelling carbon mineralisation in natural soils is a major topic in soil and climate research. Current models need to be improved to include soil structure as an influencing factor to better predict C fluxes between pedosphere and atmosphere and to estimate carbon sequestration potentials. Geometry-based mechanistic modelling approaches have recently been developed to systematically study the effect of soil structure on carbon decomposition. Such models require spatially explicit input parameters describing the architecture of the pore space and the heterogeneous distribution of microbes and organic matter as decomposable substrate. The latter is very difficult to determine in situ, resulting in increased uncertainty in the models. To obtain more realistic input data, we have developed a novel approach to locate soil organic matter (SOM) in undisturbed aggregates of soil using a combination of synchrotron-based X-ray microtomography and osmium as a staining agent for SOM. Here, we present the first results using 5mm sized soil aggregate samples with contrasting C-contents in which we obtained maps of organic matter distributions in relation to the pore networks at the aggregate scale.

AB - Modelling carbon mineralisation in natural soils is a major topic in soil and climate research. Current models need to be improved to include soil structure as an influencing factor to better predict C fluxes between pedosphere and atmosphere and to estimate carbon sequestration potentials. Geometry-based mechanistic modelling approaches have recently been developed to systematically study the effect of soil structure on carbon decomposition. Such models require spatially explicit input parameters describing the architecture of the pore space and the heterogeneous distribution of microbes and organic matter as decomposable substrate. The latter is very difficult to determine in situ, resulting in increased uncertainty in the models. To obtain more realistic input data, we have developed a novel approach to locate soil organic matter (SOM) in undisturbed aggregates of soil using a combination of synchrotron-based X-ray microtomography and osmium as a staining agent for SOM. Here, we present the first results using 5mm sized soil aggregate samples with contrasting C-contents in which we obtained maps of organic matter distributions in relation to the pore networks at the aggregate scale.

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KW - Soil organic matter

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KW - Staining

KW - Synchrotron microtomography

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