Meta-analysis of field scale spatial variability of grassland soil CO2 efflux: Interaction of biotic and abiotic drivers
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| Title: | Main Title: Meta-analysis of field scale spatial variability of grassland soil CO2 efflux: Interaction of biotic and abiotic drivers |
| Description: | 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: | 10.1016/j.catena.2016.03.034 (DOI) |
Responsible Party
| Creators: | 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 (Author) |
| Publisher: | Elsevier |
| Publication Year: | 2016 |
Topic
| TR32 Topic: | Soil |
| Related Subproject: | B1 |
| Subjects: | Keywords: Multivariate Data Analysis, Geostatistics, Soil CO2 efflux, Spatial Sampling, Principal Component Analysis |
| Geogr. Information Topic: | Environment |
File Details
| Filename: | 2016_catena_foti.pdf |
| Data Type: | Text - Article |
| Size: | 12 Pages |
| File Size: | 2 MB |
| Date: | Accepted: 28.03.2016 |
| Mime Type: | application/pdf |
| Data Format: | |
| 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 |
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Specific Information - Publication
| Publication Status: | Published |
| Review Status: | Peer reviewed |
| Publication Type: | Article |
| Article Type: | Journal |
| Source: | Catena |
| Source Website: | http://www.journals.elsevier.com/catena/ |
| Volume: | 143 |
| Number of Pages: | 12 (78 - 89) |
Metadata Details
| Metadata Creator: | Michael Herbst |
| Metadata Created: | 14.04.2016 |
| Metadata Last Updated: | 14.04.2016 |
| Subproject: | B1 |
| Funding Phase: | 3 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Page Visits: | 1068 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 0 |
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