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Figure: The photo shows a hilly landscape with a meadow and a deciduous forest under a blue sky in spring.

Methane (CH4) is, beside CO2 the second most important greenhouse gas (GHG). Current atmospheric methane concentrations are strongly increasing since 2007, which is assumed to be predominantly of anthropogenic origin and likely related to intensified agriculture for food production. Thus, one major challenge for today´s agriculture is to adjust land-use intensity to ensure productive and at the same time sustainable crop farming systems to balance GHG emissions and increasing food demands of a growing world population.

Two fundamentally different groups of prokaryotes are crucial for CH4 cycling in soils. Methanotrophic bacteria (MOB) act as biological CH4 filter by oxidizing atmospheric CH4 and that CH4, which is produced by methanogenic archaea before it reaches the atmosphere.

It is currently unclear how differences in land-use intensity control the functional diversity and activity of these key microorganisms in the soil methane cycle. Preliminary data indicate that high land-use intensity in well aerated grassland soils negatively impacts methane oxidation. However, almost nothing is known about the influence of land-use intensity on spatial and temporal dynamics of methanotrophs and methanogens.


Using a unique combination of state-of-the-art approaches in environmental microbiology, we will use the ideal setting of the Biodiversity Exploratories as platform to address pressing questions about the effect of land-use intensity on the functional diversity and activity of these key microorganisms in the soil methane cycle.


We have laid out a set of objectives and hypotheses that will be tested in two work packages (WP).

WP1 focusses on the responses of MOB and mediated methane fluxes to land-use intensity in 300 grassland and forest soils, where the relationship between methane oxidation and abundance and diversity of methanotrophic bacteria and environmental properties will be studied by methane flux measurements and qualitative and quantitative PCR, respectively.

In WP2 we will focus on the seasonal and diurnal dynamics in the activity of methanogenic and methanotrophic prokaryotes (using metatranscriptome and methane flux data) and to which extent the dynamics are influenced by grassland land-use intensity. We will focus on comparison between grasslands on water affected histosols and well-aerated leptosols.

BE_CH4 will contribute urgently needed knowledge on the influence of grassland and forest land-use intensity on spatial and temporal dynamics of methane cycling microbes that ultimately control methane fluxes in soils.


Doc
Täumer J. (2023): The soil microbiome as a driver of methane fluxes in temperate grassland and forest soils. Dissertation, University of Greifswald
More information:  epub.ub.uni-greifswald.de
Doc
Täumer J., Marhan S., Groß V., Jensen C., Kuss A. W., Kolb S., Urich T. (2022): Linking transcriptional dynamics of CH4-cycling grassland soil microbiomes to seasonal gas fluxes. ISME, in press. doi: 10.1038/s41396-022-01229-4
More information:  doi.org
Doc
Täumer J., Kolb S., Boeddinghaus R. S., Wang H., Schöning I., Schrumpf M., Urich T., Marhan S. (2021): Divergent drivers of the microbial methane sink in temperate forest and grassland soils. Global Change Biology 27 (4), 929-940. doi: 10.1111/gcb.15430
More information:  doi.org
Doc
Interactions of Predatory Myxobacteria with Soil Microbes and Nematodes
Interaktionen von prädatorischen Myxobakterien mit Bodenmikroorganismen und -nematoden
Groß V. (2020): Interactions of Predatory Myxobacteria with Soil Microbes and Nematodes. Master thesis, University Greifswald

Public Datasets

Dataset
Marhan, Sven (2022): Metabolic quotient of soil microorganisms, grassland EPs, soil sampling campaign 2017. Version 5. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31315?version=5
Dataset
Täumer, Jana (2022): Potential nitrous oxide flux rates of all grassland EP Plots, Soil sampling campaign 2017. Version 5. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31276?version=5
Dataset
Täumer, Jana; Marhan, Sven (2021): Greenhouse gase fluxes (CH4, CO2, N2O) from SEG9 and SEG15 autumn 2017 - summer 2018. Version 3. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31117?version=3
Dataset
Täumer, Jana; Urich, Tim (2021): 60 Metatranscriptomes for two depths of SEG9 and SEG15 from November 2017 to October 2018. Version 4. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31035?version=4
Dataset
Marhan, Sven (2021): Cmic, Nmic, NH4+ and NO3- from SEG9 and SEG15 autumn 2017 - summer 2018. Version 9. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31054?version=9
Dataset
Marhan, Sven; Täumer, Jana (2020): Potential soil atmospheric methane oxidation rates of all EP Plots, Soil sampling campaign 2017. Version 7. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/26306?version=7
Dataset
Marhan, Sven; Täumer, Jana (2020): Abundances of methanotrophic bacteria in all soils from soil sampling campaign (SSC) 2017. Version 4. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/26326?version=4
Dataset
Marhan, Sven; Täumer, Jana (2018): Potential soil respiration rates (CO2 emission) of all EP Plots, Soil sampling campaign 2017. Version 5. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/22686?version=5

Scientific assistants

Prof. Dr. Steffen Kolb
Project manager
Prof. Dr. Steffen Kolb
Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.
Dr. Sven Marhan
Project manager
Dr. Sven Marhan
Universität Hohenheim
Prof. Dr. Tim Urich
Project manager
Prof. Dr. Tim Urich
Universität Greifswald
Jana Täumer
Alumni
Jana Täumer
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