[1240] - Meta-analysis of field scale spatial variability of grassland soil CO2 efflux: Interaction of biotic and abiotic drivers

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Foti, S., Balogh, J., Herbst, M., Papp, M., Koncz, P., Bartha, S., Zimmermann, Z., Komoly, C., Szabo, G., Margoczi, K., Acosta, M., Nagy, Z., 2016. Meta-analysis of field scale spatial variability of grassland soil CO2 efflux: Interaction of biotic and abiotic drivers. Catena, 143, 78 - 89. DOI: 10.1016/j.catena.2016.03.034.
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Title(s):Main Title: Meta-analysis of field scale spatial variability of grassland soil CO2 efflux: Interaction of biotic and abiotic drivers
Description(s):Abstract: In this study eight temperate grassland siteswere monitored for soil CO2 efflux (Rs) and the spatial covariate soil water content (SWC) and soil temperature (Ts) at fine scale in over 77 measurement campaigns. The goals of this multisite study were to explore the correlations between environmental gradients and spatial patterns of Rs, SWC and Ts, which are not site-specific and to quantify the relevance of biotic and abiotic controls over spatial patterns along increasing vegetation structural complexity. These patterns in water-limited ecosystems in East-Central Europe are likely to be influenced by summer droughts caused by the changing climate. A consistent experimental setupwas applied at the study sites including 75 sampling locations along 15m circular transects. Spatial data processing was mainly based on variography. Two proxy variables were introduced to relate the site characteristics in terms of soils, water status and vegetation. Normalised SWC (SWCn) reconciled site-specific soil water regimes while normalised day of year integrated temperature and vegetation phenology. A principal component analysis revealed that the progressing closure of vegetation in combination with large Rs andSWCn values, aswell as lowTs and Rs variability support the detectability of spatial patterns found in both the abiotic and biotic variables. Our results showed that apart from SWC the pattern of soil temperature also had an effect on spatial structures.Wedetected that when the spatially structured variability of Ts was low, a strong negative correlation existed between SWCn and the spatial autocorrelation length of Rs with r = 0.66 (p b 0.001). However, for high spatially structured variability of Ts, occurring presumably at low Ts in spring and autumn, the correlation did not exist and itwas difficult to quantify the spatial autocorrelation of Rs. Our results are indicative of a potential shift from homogeneity and dominance of biotic processes to an increased heterogeneity and abiotic regulation in drought prone ecosystems under conditions of decreasing soil moisture.
Identifier(s):DOI: 10.1016/j.catena.2016.03.034
Responsible Party
Creator(s):Author: Szilvia Foti
Author: Janos Balogh
Author: Michael Herbst
Author: Marianna Papp
Author: Peter Koncz
Author: Sandor Bartha
Author: Zita Zimmermann
Author: Cecilia Komoly
Author: Gabor Szabo
Author: Katalin Margoczi
Author: Manuel Acosta
Author: Zoltan Nagy
TR32 Topic:Soil
Related Sub-project(s):B1
Subject(s):CRC/TR32 Keywords: Multivariate Data Analysis, Geostatistics, Soil CO2 efflux, Spatial Sampling, Principal Component Analysis
Topic Category:Environment
File Details
File Name:2016_catena_foti.pdf
Data Type:Text
Size(s):12 Pages
File Size:2021 kB (1.974 MB)
Date(s):Date Accepted: 2016-03-28
Mime Type:application/pdf
Data Format:PDF
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
North:-no map data
Measurement Region:Other
Measurement Location:--Other--
Specific Informations - Publication
Article Type:Journal
Number Of Pages:12
Page Range:78 - 89
Metadata Details
Metadata Creator:Michael Herbst
Metadata Created:2016-04-14
Metadata Last Updated:2016-04-14
Funding Phase:3
Metadata Language:English
Metadata Version:V41
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Page Visits:471
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