TR32-Database: Database of Transregio 32

[279] - Particulate Organic Matter at the Field Scale: Rapid Acquisition Using Mid-infrared Spectroscopy

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

Features
Citation
Bornemann, L., Welp, G., Amelung, W., 2010. Particulate Organic Matter at the Field Scale: Rapid Acquisition Using Mid-infrared Spectroscopy. Soil Science Society of America Journal, 74 (4), 1147 - 1156. DOI: 10.2136/sssaj2009.0195.
Identification
Title(s):Main Title: Particulate Organic Matter at the Field Scale: Rapid Acquisition Using Mid-infrared Spectroscopy
Description(s):Abstract: Modeling global C–cycles requires in–depth knowledge about small scale C–stocks and turnover processes. Yet, different soil organic carbon (SOC) pools reveal considerable spatio–temporal heterogeneity at the field scale which is scarcely known due to the considerable workload associated with traditional fractionation procedures. Here we investigated the potential of mid–infrared spectroscopy combined with partial least squares regression (MIRS–PLSR) for rapid assessment of different particulate organic matter (POM) pools and their spatial heterogeneity at field scale. Locally calibrated prediction models estimated the contents of SOC, POM of three size classes (POM1: 2000–250 µm; POM2: 250–53 µm; POM3: 53–20 µm), and lignin contents for 129 subsites of an Orthic Luvisol. Relations between the parameters were described using correlation analysis and Fuzzy–Kappa statistics (κ). All parameters were predicted successfully by applying local calibrations for MIRS–PLSR (R²= 0.77–0.99). The prediction model for POM1 chiefly relied on specific signals of lignin and cellulose, contents of POM2 were estimated by spectral bands assigned to degradation products as aliphatic C–H groups and aromatic moieties; carboxylic groups essentially contributed to the prediction of POM3. There was a close spatial relation between the coarse POM1 and POM2 fractions and lignin (κ= 0.77), which largely also explained variations in bulk SOC. In contrast, POM3 exhibited a less deterministic pattern in the field, probably because this pool was already hierarchical saturated, thus contributing little to spatio–temporal variations in SOC content.
Identifier(s):DOI: 10.2136/sssaj2009.0195
Citation Advice:Ludger Bornemann, Gerhard Welp, Wulf Amelung (2010) Particulate Organic Matter at the Field Scale: Rapid Acquisition Using Mid-infrared Spectroscopy, Soil science society of America Journal 74 4 pp. 1147-1156; doi:10.2136/sssaj2009.0195.
Responsible Party
Creator(s):Owner: Ludger Bornemann
Author: Gerd Welp
Author: Wulf Amelung
Publisher:Elsevier Science, Amsterdam, The Netherlands
Topic
TR32 Topic:Soil
Subject(s):CRC/TR32 Keywords: MIR Spectroscopy
File Details
File Name:Bornemann_et_al_2010_sssaj.pdf
Data Type:Text
File Size:1851 kB (1.808 MB)
Date(s):Created: 2009-05-19
Issued: 2010-04-30
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2010
Type:Article
Article Type:Journal
Source:Soil Science Society of America Journal
Issue:4
Volume:74
Page Range:1147 - 1156
Metadata Details
Metadata Creator:Ludger Bornemann
Metadata Created:2012-06-21
Metadata Last Updated:2012-06-21
Subproject:B3
Funding Phase:1
Metadata Language:English
Metadata Version:V31
Dataset Metrics
Page Visits:149
Metadata Downloads:0
Dataset Downloads:2
Dataset Activity
Features