TR32-Database: Database of Transregio 32

[681] - Computing the mean residence time of soil carbon fractions using stable isotopes: impacts of the model framework

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

Features
Citation
Derrien, D., Amelung, W., 2011. Computing the mean residence time of soil carbon fractions using stable isotopes: impacts of the model framework. European Journal of Soil Science, 62 (2), 237 - 252. DOI: 10.1111/j.1365-2389.2010.01333.x.
Identification
Title(s):Main Title: Computing the mean residence time of soil carbon fractions using stable isotopes: impacts of the model framework
Description(s):Abstract: Soils contain the largest carbon (C) reservoir on Earth, but the duration of C storage in soil, i.e., its mean residence time (MRT), is often poorly estimated despite its importance for assessing the efficiency at which soils may serve as a sink for atmospheric C. The objective of this study was to evaluate how the structure of simple models on soil carbon dynamics affects the MRT determined from isotope-mixing experiments using data from field studies with either artificial labelling (FACE) or C3/C4 vegetation change. We first theoretically highlighted how non steady-state conditions and the model structure (one single, two successive, or two parallel C pools) can impact the MRT assessment. Then we tested these different model structures against published data on the dynamics of different soil organic matter separates (e.g., particle-size fractions) and their constituents (lipids, carbohydrates, lignins). Our findings pointed out that many of the reviewed studies wrongly assumed that their system was at steady state or could be described by a single-pool approach. To select the correct model, exact knowledge on C input rates and several data points are needed from the beginning of the experiment. For steady-state conditions, an apparent temporal change of MRT computed from a single-pool model is thus a clear indicator that a two-pool approach must be chosen. The errors made by the wrong model choice varied with the length of the experiment. They usually resulted in an overestimation of MRT, with a magnitude of 15% for some data published on physical size separates but with a factor of up to 11 for individual microbial biomarkers such as muramic acid.
Identifier(s):DOI: 10.1111/j.1365-2389.2010.01333.x
Responsible Party
Creator(s):Author: Delphine Derrien
Author: Wulf Amelung
Publisher:British Society of Soil Science
Topic
TR32 Topic:Soil
Subject(s):CRC/TR32 Keywords: Soil, Carbon
File Details
File Name:2011_Derrien_EJoSS.pdf
Data Type:Text
Size(s):51 Pages
File Size:1151 kB (1.124 MB)
Date(s):Date Accepted: 2010-07-23
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
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Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2011
Type:Article
Article Type:Journal
Source:European Journal of Soil Science
Issue:2
Volume:62
Number Of Pages:51
Page Range:237 - 252
Metadata Details
Metadata Creator:Ludger Bornemann
Metadata Created:2013-12-02
Metadata Last Updated:2013-12-02
Subproject:B3
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:101
Metadata Downloads:0
Dataset Downloads:2
Dataset Activity
Features