Spatial controls of topsoil and subsoil organic carbon turnover under C3 –C4 vegetation change
This page lists all metadata that was entered for this dataset. Only registered users of the TR32DB may download this file.
Feature
Request download
Citation
Citation Options
Identification
Title: | Main Title: Spatial controls of topsoil and subsoil organic carbon turnover under C3 –C4 vegetation change |
Description: | 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: | 10.1016/j.geoderma.2017.05.006 (DOI) |
Responsible Party
Creators: | Henning Schiedung (Author), Nora Tilly (Author), Christoph Hütt (Author), Gerd Welp (Author), Nicolas Brüggemann (Author), Wulf Amelung (Author) |
Publisher: | Elsevier |
Publication Year: | 2017 |
Topic
TR32 Topic: | Soil |
Related Subproject: | B3 |
Subjects: | Keywords: Soil Organic Matter, Soil |
File Details
Filename: | Schiedung_2017b.pdf |
Data Type: | Text - Article |
File Size: | 822 KB |
Date: | Accepted: 03.05.2017 |
Mime Type: | application/pdf |
Data Format: | |
Language: | English |
Status: | Completed |
Constraints
Download Permission: | Only Project Members |
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 |
Geographic
Specific Information - Publication
Publication Status: | Published |
Review Status: | Peer reviewed |
Publication Type: | Article |
Article Type: | Journal |
Source: | Geoderma |
Volume: | 303 |
Number of Pages: | 8 (44 - 51) |
Metadata Details
Metadata Creator: | Nele Meyer |
Metadata Created: | 18.05.2017 |
Metadata Last Updated: | 18.05.2017 |
Subproject: | B3 |
Funding Phase: | 2 |
Metadata Language: | English |
Metadata Version: | V50 |
Metadata Export
Metadata Schema: |
Dataset Statistics
Page Visits: | 706 |
Metadata Downloads: | 0 |
Dataset Downloads: | 0 |
Dataset Activity
Feature
Download
By downloading this dataset you accept the license terms of [TR32DB] Data policy agreement and TR32DB Data 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.
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.