TR32-Database: Database of Transregio 32

[562] - Spatial Patterns of SOC Turnover

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

Features
Citation
Schiedung, H., 2012. Spatial Patterns of SOC Turnover. PhD Report, Institute of Crop Science and Resource Conservation (INRES) - Division Soil Science, University of Bonn, Bonn, Germany. Accessed from http://www.tr32db.uni-koeln.de/data.php?dataID=562 at 2017-08-20.
Identification
Title(s):Main Title: Spatial Patterns of SOC Turnover
Description(s):Abstract: Soils can be extremely heterogeneous with regard to organic C content and turnover. In the context of climate change it is necessary to gain better understanding of factors regulating soil organic carbon turnover (SOC). Anthropogenic greenhouse gas emissions, especially CO2 are the main reasons for climate change and global warming. Soils are both, a sink and a source for atmospheric CO2. Anyway, sequestration of atmospheric CO2 in agriculturally used ecosystems offers a possibility to mitigate total net fluxes of soil borne CO2. The turnover of SOC can be highly heterogeneous on a local or even on a field scale, something which is caused by the variability of its regulating parameters. In this study I am going to focus on heterogeneous, agriculturally used land in a warm, temperate climate. The first objective (i) is to capture the spatiotemporal patterns of potential SOC turnover and to identify effective parameters (quantity and quality of litter input, inorganic soil properties like contents of clay, oxides, pH, moisture, temperature and rock fragments content) regulating the turnover of stabilized soil organic carbon pools on the field scale. The second objective (ii) covers the determination of spatial patterns of actual SOC turnover rates by δ13C natural abundance isotopic labeling. The introduction of maize to a heterogeneous test site will allow me to determine the partition of fresh C4 biomass to the different SOC pools. Incubation studies with soil samples from this test site provide a direct link between the potentially biodegradable C and the actual turnover in the field (see objective i). The third objective (iii) aims to identify the seasonal variability of particulate organic matter (POM). In summary, elucidating mechanisms regulating the spatiotemporal turnover of SOM to improve the predictability of carbon turnover models is the intention of my work.
Responsible Party
Creator(s):Author: Henning Schiedung
Publisher:CRC/TR32 Database (TR32DB)
Topic
TR32 Topic:Soil
Subject(s):CRC/TR32 Keywords: PhD Report
File Details
File Name:Report1_Schiedung_2011.pdf
Data Type:Text
File Size:92 kB (0.09 MB)
Date(s):Available: 2011-09-30
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
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
Geographic
North:50.6297498
East:6.3089926
South:50.6188595
West:6.2918264
Measurement Region:Kall
Measurement Location:Rollesbroich
Specific Informations - Report
Report Date:30th of September, 2012
Report Type:PhD Report
Report City:Bonn, Germany
Report Institution:Institute of Crop Science and Resource Conservation (INRES) - Division Soil Science, University of Bonn
Number Of Pages:5
Period of Pages:1 - 5
Further Informations:TR32 Student Report Phase II
Metadata Details
Metadata Creator:Henning Schiedung
Metadata Created:2013-11-19
Metadata Last Updated:2013-11-19
Subproject:B3
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:100
Metadata Downloads:0
Dataset Downloads:1
Dataset Activity
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