TR32-Database: Database of Transregio 32

[678] - Analyzing spatiotemporal variability of heterotrophic soil respiration at the field scale using orthogonal functions

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Citation
Graf, A., Herbst, M., Weihermüller, L., Huisman, J. A., Prolingheuer, N., Bornemann, L., Vereecken, H., 2012. Analyzing spatiotemporal variability of heterotrophic soil respiration at the field scale using orthogonal functions. Geoderma, 181-182, 91 - 101. DOI: 10.1016/j.geoderma.2012.02.016.
Identification
Title(s):Main Title: Analyzing spatiotemporal variability of heterotrophic soil respiration at the field scale using orthogonal functions
Description(s):Abstract: Soil CO2 efflux was measured with a closed chamber system along a 180 mtransect on a bare soil field characterized by a gentle slope and a gradient in soil properties at 28 days within a year. Principal component analysis (PCA) was used to extract the most important patterns (empirical orthogonal functions, EOFs) of the underlying spatiotemporal variability in CO2 efflux. These patterns were analyzed with respect to their geostatistical properties, their relation to soil parameters obtained from laboratory analysis, and the relation of their loading time series to temporal variability of soil temperature andmoisture. A particular focuswas set on the analysis of the overfitting behaviour of two statistical models describing the spatiotemporal efflux variability: i) a multiple regression model using the k first EOFs of soil properties to predict the n first EOFs of efflux, which were then used to obtain a prediction of efflux on all days and points; and ii) a modified multiple regression model based on re-sorting of the EOFs based on their expected predictive power. It was demonstrated that PCA helped to separate meaningful spatial correlation patterns and unexplained variability in datasets of soil CO2 efflux measurements. The two PCA analyses suggested that only about half of the total variance of efflux could be related to field-scale spatial variability of soil properties, while the other halfwas “noise” attributed to temporal fluctuationsontheminute time scale andshort-range spatial heterogeneity on the decimetre scale. The most important spatial pattern in CO2 efflux was clearly related to soil moisture and the driving soil physical properties. Temperature, on the other hand, was the most important factor controlling the temporal variability of the spatial average of soil respiration.
Identifier(s):DOI: 10.1016/j.geoderma.2012.02.016
Responsible Party
Creator(s):Author: Alexander Graf
Author: Michael Herbst
Author: Lutz Weihermüller
Author: Johan A. Huisman
Author: Nils Prolingheuer
Author: Ludger Bornemann
Author: Harry Vereecken
Publisher:Elsevier
Topic
TR32 Topic:Soil
Subject(s):CRC/TR32 Keywords: Soil CO2 efflux, Semivariogram, Closed Chamber, Soil Respiration
File Details
File Name:2012_Graf_Geoderma.pdf
Data Type:Text
Size(s):11 Pages
File Size:691 kB (0.675 MB)
Date(s):Date Accepted: 2012-02-12
Available: 2012-04-06
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:50.8730035
East:6.4573938
South:50.8621697
West:6.4402277
Measurement Region:Ellebach
Measurement Location:Selhausen
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2012
Type:Article
Article Type:Journal
Source:Geoderma
Volume:181-182
Number Of Pages:11
Page Range:91 - 101
Metadata Details
Metadata Creator:Alexander Graf
Metadata Created:2013-12-05
Metadata Last Updated:2013-12-05
Subproject:B1
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:114
Metadata Downloads:0
Dataset Downloads:3
Dataset Activity
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