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| Titel |
Denitrification in Agricultural Soils: Integrated control and Modelling at various scales (DASIM) |
| VerfasserIn |
Christoph Müller, Reinhard Well, Jürgen Böttcher, Klaus Butterbach-Bahl, Michael Dannenmann, Marianna Deppe, Klaus Dittert, Peter Dörsch, Marcus Horn, Olaf Ippisch, Robert Mikutta, Mehmet Senbayram, Hans-Jörg Vogel, Nicole Wrage-Mönnig, Carsten Müller |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250129227
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| Publikation (Nr.) |
 EGU/EGU2016-9305.pdf |
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| Zusammenfassung |
| The new research unit DASIM brings together the expertise of 11 working groups to study
the process of denitrification at unprecedented spatial and temporal resolution. Based on
state-of-the art analytical techniques our aim is to develop improved denitrification models
ranging from the microscale to the field/plot scale. Denitrification, the process of nitrate
reduction allowing microbes to sustain respiration under anaerobic conditions, is the key
process returning reactive nitrogen as N2to the atmosphere. Actively denitrifying
communities in soil show distinct regulatory phenotypes (DRP) with characteristic
controls on the single reaction steps and end-products. It is unresolved whether DRPs
are anchored in the taxonomic composition of denitrifier communities and how
environmental conditions shape them. Despite being intensively studied for more than 100
years, denitrification rates and emissions of its gaseous products can still not be
satisfactorily predicted. While the impact of single environmental parameters is well
understood, the complexity of the process itself with its intricate cellular regulation in
response to highly variable factors in the soil matrix prevents robust prediction of
gaseous emissions. Key parameters in soil are pO2, organic matter content and quality,
pH and the microbial community structure, which in turn are affected by the soil
structure, chemistry and soil-plant interactions. In the DASIM research unit, we aim at
the quantitative prediction of denitrification rates as a function of microscale soil
structure, organic matter quality, DRPs and atmospheric boundary conditions via a
combination of state-of-the-art experimental and analytical tools (X-ray μCT, 15N tracing,
NanoSIMS, microsensors, advanced flux detection, NMR spectroscopy, and molecular
methods including next generation sequencing of functional gene transcripts). We
actively seek collaboration with researchers working in the field of denitrification. |
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