[1647] - Spatial controls of topsoil and subsoil organic carbon turnover under C3 –C4 vegetation change

All available metadata of the dataset is listed below. Some features are available, e.g. download of dataset or additional description file.

By downloading files from this dataset you accept the license terms of TR32DB Data policy agreement and TR32DBData Protection Statement.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Due to the speed of the filesystem and depending on the size of the archive and the file to be extracted, it may take up to thirty (!) minutes until a download is ready! Beware of that when confirming since you may not close the tab because otherwise, you will not get your file!
Schiedung, H., Tilly, N., Hütt, C., Welp, G., Brüggemann, N., Amelung, W., 2017. Spatial controls of topsoil and subsoil organic carbon turnover under C3 –C4 vegetation change. Geoderma, 303, 44 - 51. DOI: 10.1016/j.geoderma.2017.05.006.
Citation Options
Export as: Select the file format for your download.Citation style: Select the displayed citation style.
Title(s):Main Title: Spatial controls of topsoil and subsoil organic carbon turnover under C3 –C4 vegetation change
Description(s):Abstract: Soil organic carbon (SOC) is often heterogeneously distributed in arable fields and so is probably its turnover. We hypothesized that the spatial patterns of SOC turnover are controlled by basic soil properties like soil texture and the amount of rock fragments. To test this hypothesis, we cultivated maize as a C4 plant on a heterogeneous arable field (155 ×60 m) that had formerly been solely cultivated with C3 crops, and monitored the incorporation of isotopically heavier maize-derived C into SOC by stable 13C isotope analyses. To obtain a homogeneous input of C4 biomass into the C3 soil across the field, we chopped the aboveground maize biomass after harvest in autumn and re-spread it uniformly over the field. Subsequently, the soil was grubbed and then ploughed in the next spring. In addition, we assessed the spatial patterns of SOC stocks, amount of rock fragments and texture, as well as potential soil organic matter (SOM) degradability by ex-situ soil respiration measurements. Heterogeneity of maize growth was monitored as a covariate using laser scanning and satellite images. After two years, maize C had substituted 7.4 ± 3.2% of SOC in the topsoil (0–30 cm) and 2.9 ± 1.7% of SOC in the subsoil (30–50 cm). Assuming that monoexponential decay mainly drove this SOC substitution, this resulted in mean residence times (MRT) of SOC in the range of 30 ± 12 years for the topsoil and of 87 ± 45 years for the subsoil, respectively. Variation in topsoil MRT was related to potential CO2 release during soil incubation (R2 =0.51), but not to basic soil properties. In the subsoil, in contrast, the variation of maize C incorporation into the SOC pool was controlled by variations in maize yield (R2 = 0.44), which also exhibited a pronounced spatial variability (0.84 to 1.94 kg dry biomass m−2), and which was negatively correlated with the amount of rock fragments (R2 =0.48, p < 0.001). We assume that heterogeneous input of belowground root biomass blurs the causal interactions between the spatial heterogeneity of soil properties and the related patterns of SOC turnover, and conclude that spatial patterns of SOC turnover are not easily predictable by standard soil analyses.
Identifier(s):DOI: 10.1016/j.geoderma.2017.05.006
Responsible Party
Creator(s):Author: Henning Schiedung
Author: Nora Tilly
Author: Christoph Hütt
Author: Gerd Welp
Author: Nicolas Brüggemann
Author: Wulf Amelung
TR32 Topic:Soil
Related Sub-project(s):B3
Subject(s):CRC/TR32 Keywords: Soil Organic Matter, Soil
File Details
File Name:Schiedung_2017b.pdf
Data Type:Text
File Size:822 kB (0.803 MB)
Date(s):Date Accepted: 2017-05-03
Mime Type:application/pdf
Data Format:PDF
Download Permission:OnlyTR32
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:TR32DB Data policy agreement
North:-no map data
Measurement Region:Ellebach
Measurement Location:Selhausen
Specific Informations - Publication
Article Type:Journal
Number Of Pages:8
Page Range:44 - 51
Metadata Details
Metadata Creator:Nele Meyer
Metadata Created:2017-05-18
Metadata Last Updated:2017-05-18
Funding Phase:2
Metadata Language:English
Metadata Version:V41
Dataset Metrics
Page Visits:297
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity