[1769] - The Temperature Sensitivity (Q10) of Soil Respiration: Controlling Factors and Spatial Prediction at Regional Scale Based on Environmental Soil Classes

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

By downloading files from this dataset you accept the license terms of TR32DB Data policy agreement and TR32DBData Protection Statement.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Due to the speed of the filesystem and depending on the size of the archive and the file to be extracted, it may take up to thirty (!) minutes until a download is ready! Beware of that when confirming since you may not close the tab because otherwise, you will not get your file!
Meyer, N., Welp, G., Amelung, W., 2018. The Temperature Sensitivity (Q10) of Soil Respiration: Controlling Factors and Spatial Prediction at Regional Scale Based on Environmental Soil Classes. Global Biogeochemical Cycles, 32 (2), 306 - 323. DOI: 10.1002/2017GB005644.
Citation Options
Export as: Select the file format for your download.Citation style: Select the displayed citation style.
Title(s):Main Title: The Temperature Sensitivity (Q10) of Soil Respiration: Controlling Factors and Spatial Prediction at Regional Scale Based on Environmental Soil Classes
Description(s):Abstract: The temperature sensitivity of heterotrophic soil respiration is crucial for modeling carbon dynamics but it is variable. Presently, however, most models employ a fixed value of 1.5 or 2.0 for the increase of soil respiration per 10°C increase in temperature (Q10). Here we identified the variability of Q10 at a regional scale (Rur catchment, Germany/Belgium/Netherlands). We divided the study catchment into environmental soil classes (ESCs), which we define as unique combinations of land use, aggregated soil groups, and texture. We took nine soil samples from each ESC (108 samples) and incubated them at four soil moisture levels and five temperatures (5–25°C). We hypothesized that Q10 variability is controlled by soil organic carbon (SOC) degradability and soil moisture and that ESC can be used as a widely available proxy for Q10, owing to differences in SOC degradability. Measured Q10 values ranged from 1.2 to 2.8 and were correlated with indicators of SOC degradability (e.g., pH, r = -0.52). The effect of soil moisture on Q10 was variable: Q10 increased with moisture in croplands but decreased in forests. The ESC captured significant parts of Q10 variability under dry (R2 = 0.44) and intermediate (R2 = 0.36) moisture conditions, where Q10 increased in the order cropland<grassland<forest. Overall, the estimated heterotrophic CO2 release from the catchment was up to 45% lower when ESC- and moisture-specific Q10 values were used instead of 1.5, suggesting that scaling Q10 on the basis of both ESC and moisture might be a promising concept for spatially continuous assessments of carbon turnover at regional scales.
Identifier(s):DOI: 10.1002/2017GB005644
Responsible Party
Creator(s):Author: Nele Meyer
Author: Gerd Welp
Author: Wulf Amelung
TR32 Topic:Soil
Related Sub-project(s):B3
Subject(s):CRC/TR32 Keywords: Soil Organic Matter, Soil Respiration, Soil Temperature
File Details
File Name:Meyer_2018_Global_Biogeochemical_Cycles.pdf
Data Type:Text
File Size:4079 kB (3.983 MB)
Date(s):Date Accepted: 2018-02-09
Mime Type:application/pdf
Data Format:PDF
Download Permission:OnlyTR32
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:TR32DB Data policy agreement
North:-no map data
Measurement Region:RurCatchment
Measurement Location:--RurCatchment--
Specific Informations - Publication
Article Type:Journal
Source:Global Biogeochemical Cycles
Number Of Pages:18
Page Range:306 - 323
Metadata Details
Metadata Creator:Nele Meyer
Metadata Created:2018-02-26
Metadata Last Updated:2018-04-04
Funding Phase:3
Metadata Language:English
Metadata Version:V42
Metadata Export
Metadata Export:
Select the XML download format.
Dataset Metrics
Page Visits:280
Metadata Downloads:0
Dataset Downloads:1
Dataset Activity