TR32-Database: Database of Transregio 32

[876] - On the spatial variation of soil rhizospheric and heterotrophic respiration in a winter wheat stand

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Features
Citation
Prolingheuer, N., Scharnagl, B., Graf, A., Vereecken, H., Herbst, M., 2014. On the spatial variation of soil rhizospheric and heterotrophic respiration in a winter wheat stand. Agricultural and Forest Meteorology, 195-196, 24 - 31. DOI: 10.1016/j.agrformet.2014.04.016.
Identification
Title(s):Main Title: On the spatial variation of soil rhizospheric and heterotrophic respiration in a winter wheat stand
Description(s):Abstract: Field-scale soil respiration reveals a tremendous variability in space. In order to quantify the spatial variability originating from the heterotrophic and the rhizospheric contribution to total soil respiration, the root exclusion method was applied. At 61 locations within a 50 m × 50 m plot in a winter wheat stand, 7 cm-collars and 50 cm-collars were inserted prior to the root growth to simultaneously measure total respiration and heterotrophic respiration. The rhizospheric component was determined as the difference between the flux measurements of total and heterotrophic respiration. During the vegetation period 2009, in total 18 repeated measurements, including soil temperature and moisture, were carried out.The highest spatial variability in terms of standard deviation up to 2.9 μmol CO2 m−2 s−1 was detected for the rhizospheric respiration during the period of massive plant growth. Compared to the heterotrophic contribution the coefficient of variation in space was constantly higher for the rhizospheric contribution. Variogram analyses revealed an almost completely random spatial distribution of heterotrophic respiration, whereas the rhizospheric respiration showed a clear spatial autocorrelation. The spatial pattern of total respiration mainly resembles the pattern of the rhizospheric component and is characterized by an average spatial correlation length of 18 m.The results indicate that the sampling design for chamber-based measurements of soil respiration in agro-ecosystems should account for the high spatial variability during plant growth and collars should be separated by a distance larger than the spatial correlation range to ensure uncorrelated samples and thus unbiased representative flux estimates.
Identifier(s):DOI: 10.1016/j.agrformet.2014.04.016
Responsible Party
Creator(s):Author: Nils Prolingheuer
Author: Benedikt Scharnagl
Author: Alexander Graf
Author: Harry Vereecken
Author: Michael Herbst
Publisher:Elsevier
Topic
TR32 Topic:Soil
Subject(s):CRC/TR32 Keywords: Efflux, CO2, Carbon, Soil Respiration, Spatial Variability, Root, Heterotrophic Respiration
File Details
File Name:2014_agrformet_prolingheuer.pdf
Data Type:Text
Size(s):8 Pages
File Size:1348 kB (1.316 MB)
Date(s):Date Accepted: 2014-04-21
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:50.8737888
East:6.4414293
South:50.8731118
West:6.4403565
Measurement Region:Ellebach
Measurement Location:Selhausen
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2014
Type:Article
Article Type:Journal
Source:Agricultural and Forest Meteorology
Volume:195-196
Number Of Pages:8
Page Range:24 - 31
Metadata Details
Metadata Creator:Michael Herbst
Metadata Created:2014-06-12
Metadata Last Updated:2014-06-12
Subproject:B1
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:194
Metadata Downloads:0
Dataset Downloads:1
Dataset Activity
Features