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

This page lists all metadata that was entered for this dataset. Only registered users of the TR32DB may download this file.

Feature

Request download

Citation

Citation Options

Identification

*Title:*	Main Title: Soil moisture induced changes on fine-scale spatial pattern of soil respiration in a semi-arid sandy grassland
*Description:*	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:*	10.1016/j.geoderma.2013.08.009 (DOI)

Responsible Party

*Creators:*	Szilvia Foti (Author), Janos Balogh (Author), Zoltan Nagy (Author), Michael Herbst (Author), Krisztina Pinter (Author), Evelin Peli (Author), Peter Koncz (Author), Sandor Bartha (Author)
*Publisher:*	Elsevier
*Publication Year:*	2013

Topic

*TR32 Topic:*	Soil
*Related Subproject:*	B1
*Subjects:*	Keywords: Drought-Stress, Geostatistics, Optimal Sample Size, Soil CO2 efflux, Spatial Sampling

File Details

*Filename:*	2014_Foti_Geoderma.pdf
*Data Type:*	Text - Article
*Size:*	10 Pages
*File Size:*	1.2 MB
*Date:*	Accepted: 23.02.2013
*Mime Type:*	application/pdf
*Data Format:*	PDF
*Language:*	English
*Status:*	Completed

Constraints

*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

Geographic

Specific Information - Publication

*Publication Status:*	Published
*Review Status:*	Peer reviewed
*Publication Type:*	Article
*Article Type:*	Journal
*Source:*	Geoderma
*Source Website:*	www.elsevier.com/ locate/geoderma
*Volume:*	213
*Number of Pages:*	10 (245 - 254)

Metadata Details

*Metadata Creator:*	Michael Herbst
*Metadata Created:*	05.12.2013
*Metadata Last Updated:*	05.12.2013
*Subproject:*	B1
*Funding Phase:*	2
*Metadata Language:*	English
*Metadata Version:*	V50

Metadata Export

Metadata Schema:

Dataset Statistics

*Page Visits:*	1073
*Metadata Downloads:*	0
*Dataset Downloads:*	2

Dataset Activity

Feature

Download

top ∧