Soil Biology and BiochemistryMicrobiologyPeer-reviewed journal article
Methane sink function of grassland soil microbiomes - negative effects of intensive management persist three years after land-use extensification
Nils VollesiD, Hauke WinteriD, Verena GroßiD, Miloš BielčikiD, Tim UrichiD, Steffen KolbiD, Sven MarhaniD
Abstract
Grassland soils are important methane (CH4) sinks through CH4 oxidation by methanotrophs, but intensive management with high nitrogen inputs and grazing densities reduces this potential. While long-term recovery of the CH4 sink after land-use change is generally established, little is known about the short-term effects of reducing land-use intensity index (LUI) through extensive management in grassland. We did not find an effect on potential CH4 oxidation rates (PMORs) and the abundances atmospheric CH4-consuming methanotrophs after three years of LUI reduction (no fertilization, no grazing, and one mowing per year) in 45 intensively managed grassland sites located in three different pedoclimatic regions of Germany. However, we observed a decline in the abundance of CH4 producing methanogens. Moreover, we found greater PMORs and higher abundance of Upland Soil Cluster {gamma} (USC{gamma}) methanotrophs on additional, historically low LUI sites. Soil bulk density decreased already after three years of LUI reduction and was even lower in historically low LUI sites. Strong correlations between the abundance canonical methanotrophs and methanogens highlight a CH4 filter function that was independent from LUI reduction across regions. Our study consistently shows that three years of LUI reduction are not sufficient to restore the CH4 sink function of temperate grasslands. However, the lower soil bulk density and the decreased abundance of methanogens indicate that LUI reduction will affect the habitat and living boundary conditions for CH4-cycling microorganisms in the long term. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=133 SRC="FIGDIR/small/646387v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@876847org.highwire.dtl.DTLVardef@1cf2e69org.highwire.dtl.DTLVardef@f02df9org.highwire.dtl.DTLVardef@5a3f1f_HPS_FORMAT_FIGEXP M_FIG C_FIG
- assay: metagenomics
- research focus: ecology & biodiversity
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 4
- FWCI
- 2.02
- Field percentile
- top 14%
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