TR32-Database: Database of Transregio 32

[680] - Soil moisture induced changes on fine-scale spatial pattern of soil respiration in a semi-arid sandy grassland

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

Features
Citation
Foti, S., Balogh, J., Nagy, Z., Herbst, M., Pinter, K., Peli, E., Koncz, P., Bartha, S., 2014. Soil moisture induced changes on fine-scale spatial pattern of soil respiration in a semi-arid sandy grassland. Geoderma, 213, 245 - 254. DOI: 10.1016/j.geoderma.2013.08.009.
Identification
Title(s):Main Title: Soil moisture induced changes on fine-scale spatial pattern of soil respiration in a semi-arid sandy grassland
Description(s):Abstract: High variability of soil respiration measured at fine spatial scale increases the uncertainty when trying to determine the representative average soil respiration (Rs) flux. A possible way to decrease the uncertainty, while also optimising measurement effort, could be the calculation of required number of Rs measurements (Nopt) together with the optimisation of their spatial arrangement. The goals of this study were to find explanatory variables of the structural parameters of fine-scale Rs spatial pattern and of Nopt for sampling optimisation. We conducted field Rs, soil temperature (Ts) and soil water content (SWC) measurements in a Hungarian sandy pasture over several years along circular transects of 75 evenly spaced (20 cm distance) sampling positions. Structural parameters of patterns of Rs and the covariates were determined from variograms. Ranges of spatial autocorrelation varied between 0 and 3.6 m for Rs, 0 and 3 m for SWC and 0 and 2.9 m for Ts. Patch size of Rs depended negatively on transect average SWC. To understand and quantify the spatial dependence of variables, cross-variograms were calculated. Rs proved to be positively spatially correlated to SWC at low water supply, while Ts-Rs and SWC-Ts spatial correlations were mostly negative, both due the direct effect of evaporative cooling on Ts. We found that spatial patchiness became less robust and the correlations generally decreased as soil moisture content was high. We found that explanatory variable of Nopt was also SWC, with negative correlation between them. We conclude that sampling could be optimized on the basis of the easily measurable actual SWC, which determines both the optimal number of Rs measurements and the minimum distances between individual samples in semi-arid ecosystems.
Identifier(s):DOI: 10.1016/j.geoderma.2013.08.009
Responsible Party
Creator(s):Author: Szilvia Foti
Author: Janos Balogh
Author: Zoltan Nagy
Author: Michael Herbst
Author: Krisztina Pinter
Author: Evelin Peli
Author: Peter Koncz
Author: Sandor Bartha
Publisher:Elsevier
Topic
TR32 Topic:Soil
Subject(s):CRC/TR32 Keywords: Drought-Stress, Geostatistics, Optimal Sample Size, Soil CO2 efflux, Spatial Sampling
File Details
File Name:2014_Foti_Geoderma.pdf
Data Type:Text
Size(s):10 Pages
File Size:1240 kB (1.211 MB)
Date(s):Date Accepted: 2013-02-23
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:-no map data
East:-
South:-
West:-
Measurement Region:Other
Measurement Location:--Other--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2014
Type:Article
Article Type:Journal
Source:Geoderma
Volume:213
Number Of Pages:10
Page Range:245 - 254
Metadata Details
Metadata Creator:Michael Herbst
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:201
Metadata Downloads:0
Dataset Downloads:2
Dataset Activity
Features