Spatio-temporal variability of soil respiration in a spruce-dominated headwater catchment in western Germany

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Title:Main Title: Spatio-temporal variability of soil respiration in a spruce-dominated headwater catchment in western Germany
Description:Abstract: CO2 production and transport from forest floors is an important component of the carbon cycle and is closely related to the global atmosphere CO2 concentration. If we are to understand the feedback between soil processes and atmospheric CO2, we need to know more about the spatiotemporal variability of this soil respiration under different environmental conditions. In this study, long-term measurements were conducted in a spruce-dominated forest ecosystem in western Germany. Multivariate analysis-based similarities between different measurement sites led to the detection of site clusters along two CO2 emission axes: (1) mainly controlled by soil temperature and moisture condition, and (2) mainly controlled by root biomass and the forest floor litter. The combined effects of soil temperature and soil moisture were used as a time-dependent rating factor affecting the optimal CO2 production and transport at cluster level. High/moderate/weak time-dependent rating factors were associated with the different clusters. The process-based, most distant clusters were identified using specified pattern characteristics: the reaction rates in the soil layers, the activation energy for bio-chemical reactions, the soil moisture dependency parameter, the root biomass factor, the litter layer factor and the organic matter factor. A HYDRUS-1D model system was inversely used to compute soil hydraulic parameters from soil moisture measurements. Heat transport parameters were calibrated based on observed soil temperatures. The results were used to adjust CO2 productions by soil microorganisms and plant roots under optimal conditions for each cluster. Although the uncertainty associated with the HYDRUS-1D simulations is higher, the results were consistent with both the multivariate clustering and the timedependent rating of site production. Finally, four clusters with significantly different environmental conditions (i.e. permanent high soil moisture condition, accumulated litter amount, high variability in soil moisture content, and dominant temperature dependence) were found to be relevant in explaining the spatio-temporal variability of CO2 efflux and providing reference-specific characteristic values for the investigated area.
Identifier:10.5194/bg-11-4235-2014 (DOI)
Responsible Party
Creators:Aymar Bossa (Author), Bernd Diekkrüger (Author)
Publisher:Copernicus Publications
Publication Year:2014
Topic
TR32 Topic:Soil
Related Subproject:C1
Subjects:Keywords: Soil CO2 efflux, Soil Moisture, Soil Temperature, Soil Respiration
File Details
Filename:Bossa & Diekkrueger 2014.pdf
Data Type:Text - Article
Size:15 Pages
File Size:1 MB
Date:Accepted: 03.07.2014
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
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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
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Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Biogeosciences
Volume:11
Number of Pages:15 (4235 - 4249)
Metadata Details
Metadata Creator:Thomas Cornelissen
Metadata Created:01.09.2014
Metadata Last Updated:01.09.2014
Subproject:C1
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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