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

This page lists all metadata that was entered for this dataset. Only registered users of the TR32DB may download this file.

Feature
Request downloadRequest download
Full Name:
Affiliation:
eMail:
Purpose of use:
 
Bot check:
Type all characters with this
color
.
 
It is case sensitive.
 
 
 
Submit
Citation
Citation Options
Identification
Title:Main Title: Computing the mean residence time of soil carbon fractions using stable isotopes: impacts of the model framework
Description: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:10.1111/j.1365-2389.2010.01333.x (DOI)
Responsible Party
Creators:Delphine Derrien (Author), Wulf Amelung (Author)
Publisher:British Society of Soil Science
Publication Year:2013
Topic
TR32 Topic:Soil
Related Subproject:B3
Subjects:Keywords: Soil, Carbon
File Details
Filename:2011_Derrien_EJoSS.pdf
Data Type:Text - Article
Size:51 Pages
File Size:1.1 MB
Date:Accepted: 23.07.2010
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:Only Project Members
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:[TR32DB] Data policy agreement
Geographic
Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:European Journal of Soil Science
Issue:2
Volume:62
Number of Pages:16 (237 - 252)
Metadata Details
Metadata Creator:Ludger Bornemann
Metadata Created:02.12.2013
Metadata Last Updated:02.12.2013
Subproject:B3
Funding Phase:2
Metadata Language:English
Metadata Version:V50
Metadata Export
Metadata Schema:
Dataset Statistics
Page Visits:823
Metadata Downloads:0
Dataset Downloads:2
Dataset Activity
Feature
A download is not possibleDownload