TR32-Database: Database of Transregio 32

[674] - Temporal downscaling of soil CO2 efflux measurements based on time-stable spatial patterns

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Features
Citation
Graf, A., Prolingheuer, N., Schickling, A., Schmidt, M., Schneider, K., Schüttemeyer, D., Herbst, M., Huisman, J. A., Weihermüller, L., Scharnagl, B., Steenpass, C., Harms, R., Vereecken, H., 2011. Temporal downscaling of soil CO2 efflux measurements based on time-stable spatial patterns. Vadose Zone Journal, 10 (1), 239 - 251. DOI: 10.2136/vzj2009.0152.
Identification
Title(s):Main Title: Temporal downscaling of soil CO2 efflux measurements based on time-stable spatial patterns
Description(s):Abstract: Soil CO2 efflux at a field site is often computed as the average of successive chamber measurements at several points to overcome the effects of spatial variability and microclimatic disturbances. As a consequence, the resulting data set has a coarser resolution in space (one average per site) and time than the raw data set. The deviations between raw measurements and the field average may provide additional insights, however, if they can be decomposed into a time-stable part, characterizing the spatial pattern of emission strengths, and a dynamic part, characterizing rapid changes in soil CO2 efflux. We evaluated data from several measurement campaigns in an agricultural landscape. First, we determined the persistence of spatial CO2 efflux patterns and found that ≥50% of spatial variance was stable for at least 1 d in all examined crop and field types. For fields where vegetation and gradients in soil properties determined the spatial variation in CO2 efflux, some correlation was still found after 10 d. In a next step, we removed the time-stable patterns from the raw time series. The resulting estimate of instantaneous area-average soil respiration closely resembled the conventional spatiotemporal field average on days without rapid changes in meteorologic conditions. On days with fluctuations of radiation and temperature, in contrast, soil respiration reacted on a time scale from instantaneous to about 1 h. Based on a discussion of potential mechanisms underlying these reactions for a wheat (Triticum aestivum L.) and a sugarbeet (Beta vulgaris L. ssp. vulgaris) stand, we suggest that the proposed downscaling methodology, in combination with existing decomposition techniques, may help to examine the short-term dependence of heterotrophic and root respiration on radiation, temperature, and rain.
Identifier(s):DOI: 10.2136/vzj2009.0152
Responsible Party
Creator(s):Author: Alexander Graf
Author: Nils Prolingheuer
Author: Anke Schickling
Author: Marius Schmidt
Author: Karl Schneider
Author: Dirk Schüttemeyer
Author: Michael Herbst
Author: Johan A. Huisman
Author: Lutz Weihermüller
Author: Benedikt Scharnagl
Author: Christian Steenpass
Author: Rainer Harms
Author: Harry Vereecken
Publisher:Soil Science Society of America
Topic
TR32 Topic:Soil
Subject(s):CRC/TR32 Keywords: Soil CO2 efflux, Winter Wheat, Sugar Beet, Seasonal Variation
File Details
File Name:2011_Graf_VZJ.pdf
Data Type:Text
Size(s):13 Pages
File Size:2210 kB (2.158 MB)
Date(s):Available: 2010-09-07
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:51.5915435
East:7.4236328
South:50.2058789
West:5.2263672
Measurement Region:RurCatchment
Measurement Location:--RurCatchment--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2011
Type:Article
Article Type:Journal
Source:Vadose Zone Journal
Issue:1
Volume:10
Number Of Pages:13
Page Range:239 - 251
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:127
Metadata Downloads:0
Dataset Downloads:3
Dataset Activity
Features