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| Hauptseite > Publikationsdatenbank > Meta-analysis of field scale spatial variability of grassland soil CO$_{2}$ efflux: Interaction of biotic and abiotic drivers > print |
| Hauptseite > Publikationsdatenbank > Meta-analysis of field scale spatial variability of grassland soil CO$_{2}$ efflux: Interaction of biotic and abiotic drivers > print |
| 001 | 808531 | ||
| 005 | 20210129222803.0 | ||
| 024 | 7 | _ | |a 10.1016/j.catena.2016.03.034 |2 doi |
| 024 | 7 | _ | |a 0008-7769 |2 ISSN |
| 024 | 7 | _ | |a 0341-8162 |2 ISSN |
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| 037 | _ | _ | |a FZJ-2016-02269 |
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| 100 | 1 | _ | |a Fóti, Szilvia |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Meta-analysis of field scale spatial variability of grassland soil CO$_{2}$ efflux: Interaction of biotic and abiotic drivers |
| 260 | _ | _ | |a New York, NY [u.a.] |c 2016 |b Elsevier |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1461220793_23616 |2 PUB:(DE-HGF) |
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| 520 | _ | _ | |a In this study eight temperate grassland sites were monitored for soil CO2 efflux (Rs) and the spatial covariate soilwater content (SWC) and soil temperature (Ts) at fine scale in over 77 measurement campaigns. The goals of thismultisite study were to explore the correlations between environmental gradients and spatial patterns of Rs, SWCand Ts, which are not site-specific and to quantify the relevance of biotic and abiotic controls over spatial patternsalong increasing vegetation structural complexity. These patterns in water-limited ecosystems in East-CentralEurope 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 circulartransects. Spatial data processing was mainly based on variography. Two proxy variables were introduced torelate the site characteristics in terms of soils, water status and vegetation. Normalised SWC (SWCn) reconciledsite-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 Rsand SWCn values, as well as low Ts and Rs variability support the detectability of spatial patterns found in both theabiotic and biotic variables. Our results showed that apart from SWC the pattern of soil temperature also had aneffect on spatial structures.We detected that when the spatially structured variability of Ts was low, a strong negativecorrelation 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 indicativeof a potential shift from homogeneity and dominance of biotic processes to an increased heterogeneity andabiotic regulation in drought prone ecosystems under conditions of decreasing soil moisture. |
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