Spatial variability of enzyme activities and microbial biomass in the upper layers of Quercus petraea forest soil

Šnajdr, Jaroslav; Valášková, Vendula; Merhautová, Veˇra; Herinková, Jana; Cajthaml, Tomáš; Baldrián, Petr

doi:10.1016/j.soilbio.2008.01.015

Cited by 274 publications

(137 citation statements)

References 39 publications

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“…However, where there is a gradient of pH, OM, or C, the microbial community is likely affected [58][59][60] and soil enzyme production is altered. For example, β-glucosidase activity varied significantly at both the individual tree scale (1.0 m) and the regional scale (55 ha) [61].…”

Section: Discussionmentioning

confidence: 99%

Soil Enzyme Activities in Pinus tabuliformis (Carriére) Plantations in Northern China

Wang

Page‐Dumroese

et al. 2016

Forests

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Changes in forest stand structure may alter the activity of invertase, urease, catalase and phenol oxidase after thinning Pinus tabuliformis (Carriére) plantations in Yanqing County of Beijing, China. We examined changes in these soil enzymes as influenced by time since thinning (24, 32, and 40 years since thinning) for 3 seasons (spring, summer and autumn) following harvesting at two depths in the mineral soil (0-10 cm and 10-20 cm). Invertase and urease increased significantly with time since thinning. Catalase activity was highest in the 24-year-old stand and there were no statistically significant differences between the 32-and 40-year-old stands. In addition, maximum invertase, urease, catalase, and phenol oxidase activities occurred during the summer; minimum activities occurred in autumn. Invertase and urease were positively correlated with each other, as were catalase and phenol oxidase. Most soil enzyme activity was higher in the 0-10 cm layer than at the 10-20 cm depth. As time from thinning increased, differences among soil depth became less significant. These results suggest that seasonal changes of these enzymes have different roles, as the time since thinning and thinning treatments may have both short-and long-term impacts on soil microbial activity.

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Section: Discussionmentioning

confidence: 99%

Soil Enzyme Activities in Pinus tabuliformis (Carriére) Plantations in Northern China

Wang

Page‐Dumroese

et al. 2016

Forests

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“…The activities reported from several ecosystems often spanned several orders of magnitude across relatively small areas (Gömöryová, 2004;Luis et al, 2005b;Prietzel, 2001;Šnajdr et al, 2008b). For example, the activity of laccase in the litter and organic soil horizon of a Quercus petraea (Matt.)…”

Section: Spatial Heterogeneity Of Enzyme Activity In Soil and Littermentioning

confidence: 99%

“…1). The CVs in the litter and the topsoil horizons of forest soils have ranged from 29 to 64% for several polysaccharide hydrolases, phosphatase, and ligninolytic enzymes within areas of tens of square meters to a hectare (Šnajdr et al, 2008b;Trasar-Cepeda et al, 2000). Also, a study considering the spatial heterogeneity of agricultural soils showed that the variation of enzyme activities (urease, phosphatase, and protease) was more variable (CVs of 31-88%) than organic C and total N content (Bonmati et al, 1991).…”

Section: Spatial Heterogeneity Of Enzyme Activity In Soil and Littermentioning

confidence: 99%

“…Soil represents a vertically stratified environment where the deposition of organic matter on the surface and its successive decomposition in deeper horizons lead to the establishment of gradients of nutrient content, microbial biomass, and the rates of microbially mediated processes, all of which decrease with soil depth (Šnajdr et al, 2008b;Trasar-Cepeda et al, 2000;Wittmann et al, 2004). Individual soil horizons are often distinct, with a specific chemical composition that supports the existence of varied microbial communities Lindahl et al, 2007;O'Brien et al, 2005).…”

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Distribution of Extracellular Enzymes in Soils: Spatial Heterogeneity and Determining Factors at Various Scales

Baldrián

2014

Soil Science Society of America Journal

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134

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“…The reason may be that compared with the mineral soil, litter physical and chemical properties differ, and the water conditions of litter layers are more dynamic [26]. Litter and mineral soil heterotrophic community composition and biomass also differ, which may result in varying physiological responses to wetting and drying events [41,61], and C utilization strategies [62]. Additionally, the C supply in the soil may remain active at lower water potentials, and microbes can persist in microsites where conditions are more suitable [63,64].…”

Section: Discussionmentioning

confidence: 99%

The Impact of Water Content on Sources of Heterotrophic Soil Respiration

McElligott

Seiler

Strahm

2017

Forests

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Heterotrophic respiration (R H ) is a major flux of CO 2 from forest ecosystems and represents a large source of uncertainty in estimating net ecosystem productivity (NEP) using regional soil respiration (R S ) models. R H from leaf litter (R HL ) may contribute greatly to annual R H estimates, but its contribution may be misrepresented due to the logistical and technical challenges associated with chamber-based field measurements of R HL . The purpose of this study was to evaluate the sensitivity of sources of R H (mineral soil-derived heterotrophic respiration [R HM ] and leaf litter-derived heterotrophic respiration [R HL ]) of a loblolly pine plantation (Pinus taeda L.) to varying soil and litter water content over the course of a dry down event. Additionally, we investigated whether fertilization influenced R HL and R HM to understand how forest nutrient management may impact forest soil carbon (C) dynamics. R HL was measured under dry conditions and at field capacity to evaluate water content controls on R HL , determine the duration of increased CO 2 release following wetting, and evaluate the potential contribution to total R H . We also measured R HM inside collars that excluded plant roots and litter inputs, from field capacity until near-zero R HM rates were attained. We found that R HL was more sensitive to water content than R HM , and increased linearly with increasing litter water content (R 2 = 0.89). The contribution of R HL to R H was greatest immediately following the wetting event, and decreased rapidly to near-zero rates between 3 and 10 days. R HM also had a strong relationship with soil water content (R 2 = 0.62), but took between 200 and 233 days to attain near-zero R HM rates. Fertilization had no effect on R HM (p = 0.657), but significantly suppressed R HL rates after the wetting event (p < 0.009). These results demonstrate that there is great temporal variability in both CO 2 released and the water content of differing sources of R H , and forest fertilization may largely impact forest floor C stocks. This variability may not be captured reliably using conventional weekly to monthly chamber-based field sampling efforts and could lead to over-or underestimation of R H . In the context of climate change, changes in the frequency and intensity of wetting and drying events will likely alter R HL and its contribution to R S . Separate consideration of R H sources and controls, along with increased field sampling frequency using chamber-based methodology under a broader range of specific environmental conditions, are likely needed to reduce variability in R H estimates and improve the accuracy of forest NEP predictions.

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Spatial variability of enzyme activities and microbial biomass in the upper layers of Quercus petraea forest soil

Cited by 274 publications

References 39 publications

Soil Enzyme Activities in Pinus tabuliformis (Carriére) Plantations in Northern China

Soil Enzyme Activities in Pinus tabuliformis (Carriére) Plantations in Northern China

Distribution of Extracellular Enzymes in Soils: Spatial Heterogeneity and Determining Factors at Various Scales

The Impact of Water Content on Sources of Heterotrophic Soil Respiration

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