Dependence of soil respiration on soil moisture, clay content, soil organic matter, and CO2 uptake in dry grasslands

Balogh, János; Pintér, Krisztina; Fóti, Szilvia; Cserhalmi, Dániel; Papp, Marianna; Nagy, Zoltán

doi:10.1016/j.soilbio.2011.01.017

Cited by 150 publications

(90 citation statements)

References 42 publications

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“…However, Q 10 was found to be negatively correlated with mean annual precipitation (P < 0.01) in different forest ecosystems in China, which could be due to the relatively abundant rainfall in the forest ecosystems (700-1956 mm) (Peng et al, 2009). Soil moisture was the major limiting factor for underground biological processes, especially in water-limited regions (Reth et al, 2005;Balogh et al, 2011;Wang et al, 2014). Although precipitation was the only source of water for soil moisture underneath longterm bare soil, there was no significant relationship between annual mean soil moisture and annual precipitation amount (P > 0.05) (Fig.…”

Section: Soil Moisture Influenced the Interannual Variation In Q 10mentioning

confidence: 99%

“…3b), which was in agreement with other studies (Bowden et al, 1998;Conant et al, 2004;Smith, 2005). This could be for the following reasons: firstly, lower soil water availability could reduce Q 10 by limiting respiration substrate availability and soil pore water became increasingly disconnected, thus slowing down the diffusion rate of solutes Balogh et al, 2011), and decreasing the activity and quantity of organisms due to drought stress . Secondly, higher soil moisture could also reduce Q 10 by limiting O 2 diffusion rate (Davidson et al, 1998;Byrne et al, 2005;Saiz et al, 2007) because of low effective soil porosity, as the diffusion rate of O 2 through water was much slower than that through air (Cook and Knight, Date (yy-m-d) 08-1-1 08-7-1 09-1-1 09-7-1 10-1-1 10-7-1 11-1-1 11-7-1 12-1-1 12-7-1 13-1-1 13-7-1 SOC mineralization rate (μ mol m 2003; Manzoni et al, 2012), thus the decomposition activity of aerobic microbes was inhibited due to lack of oxygen (Davidson et al, 2000).…”

Section: Soil Moisture Influenced the Interannual Variation In Q 10mentioning

confidence: 99%

“…Soil moisture is the most significant limiting factor for underground physiological processes in dry and semi-dry ecosystems (Balogh et al, 2011;Cable et al, 2011;Wang et al, 2014). Soil water availability may indirectly affect Q 10 by influencing the diffusion of substrates because the diffusion of extracellular enzymes produced by microorganisms and available substrates must occur in the liquid phase (Davidson et al, 1998;Illeris et al, 2004), but the response of Q 10 to soil water availability is extremely complex and controversial (Davidson et al, 2000;McCulley et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

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Soil moisture influence on the interannual variation in temperature sensitivity of soil organic carbon mineralization in the Loess Plateau

et al. 2015

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Abstract. Temperature sensitivity of soil organic carbon (SOC) mineralization (i.e., Q 10 ) determines how strong the feedback from global warming may be on the atmospheric CO 2 concentration; thus, understanding the factors influencing the interannual variation in Q 10 is important for accurately estimating local soil carbon cycle. In situ SOC mineralization rate was measured using an automated CO 2 flux system (Li-8100) in long-term bare fallow soil in the Loess Plateau (35 • 12 N, 107 • 40 E) in Changwu, Shaanxi, China from 2008 to 2013. The results showed that the annual cumulative SOC mineralization ranged from 226 to 298 g C m −2 yr −1 , with a mean of 253 g C m −2 yr −1 and a coefficient of variation (CV) of 13 %, annual Q 10 ranged from 1.48 to 1.94, with a mean of 1.70 and a CV of 10 %, and annual soil moisture content ranged from 38.6 to 50.7 % soil water-filled pore space (WFPS), with a mean of 43.8 % WFPS and a CV of 11 %, which were mainly affected by the frequency and distribution of precipitation. Annual Q 10 showed a quadratic correlation with annual mean soil moisture content. In conclusion, understanding of the relationships between interannual variation in Q 10 , soil moisture, and precipitation are important to accurately estimate the local carbon cycle, especially under the changing climate.

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Section: Soil Moisture Influenced the Interannual Variation In Q 10mentioning

confidence: 99%

Section: Soil Moisture Influenced the Interannual Variation In Q 10mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Soil moisture influence on the interannual variation in temperature sensitivity of soil organic carbon mineralization in the Loess Plateau

et al. 2015

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“…Information leading to better characterization of fluxes during these periods may contribute to improved models of soil respiration and decreasing uncertainty of CO 2 balance estimates. Balogh et al, 2011).…”

Section: Z Nagy Et Al: Carbon Fluxes Of Surfaces Vs Ecosystemsmentioning

confidence: 99%

Carbon fluxes of surfaces vs. ecosystems: advantages of measuring eddy covariance and soil respiration simultaneously in dry grassland ecosystems

et al. 2011

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Abstract. An automated open system for measurement of soil CO 2 efflux (R sc ) was developed and calibrated against known fluxes. The system was tested in the field, while estimating soil respiration simultaneously by the gradient method (R sg ) at a dry, sandy grassland site (Bugac, Hungary). Ecosystem respiration (R eco ) was measured using the eddy covariance technique. The small chamber size (5 cm in diameter) made it possible to use the chambers in vegetation gaps, thereby avoiding the necessity of removing shoots and disturbing the spatial structure of vegetation and the upper soil layer. Low air flow rates associated with small chamber volume and chamber design allowed the overpressure range to stabilize between 0.05-0.12 Pa. The correlation between ecosystem and soil CO 2 efflux rates as measured by the independent methods was significant, R eco rates were similar or even lower than R sc in the low flux (up to 2 µmol CO 2 m −2 s −1 ) range but the differences were within the uncertainty limits for the two fluxes. R sc from trenched and non-trenched plots amounted to 16 % and 44 % of R eco , respectively. The gradient method showed both up and downward CO 2 fluxes originating from the main rooting zone after rains. Diffusive retardation played a smaller role than CO 2 production considering the soil air CO 2 concentration increase after rains in a given layer. Downward fluxes within the soil profile amounted to 15 % of the simultaneous upward fluxes and to ∼7.6 % of the total (upward) effluxes during the 3-month study. The upper 5 cm soil layer contributed to ∼50 % of the total soil CO 2 efflux. Downward fluxes are expected to seriously affect (1) the R eco vs. temperature response functions and (2) the net ecosystem exchange Correspondence to: Z. Nagy (nagy.zoltan@mkk.szie.hu) of CO 2 (NEE) vs. photon flux density response functions, therefore potentially affecting the gap filling procedures and to lead to a situation (3) when the measured surface and the real time ecosystem fluxes will necessarily differ in the short term. Simultaneous measurements of R eco and soil CO 2 effluxes may reveal the timing and magnitude of the decoupling, thereby contributing to decreasing uncertainty associated with eddy flux measurements over flat terrains. While the correlations between CO 2 effluxes measured by independent systems are strong, R sg was generally larger than R sc or R eco , mainly due to overestimation of effective diffusivity in the soil.

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“…Such a parameter, which can provide information about the degree and strength of the soil transformations, can be the microbial activity. This soil parameter is strongly correlated with many other major soil properties [BALOGH et al 2011;BURCZYK et al 2016;HAN et al 2007; STEFA- NOWICZ et al 2008;TURBIAK et al 2014;WANG et al 2014]. Its value may be a determinant of the specific soil substrate -qualitative determinant of the soil environment.…”

Section: Introductionmentioning

confidence: 96%

Impact of land use on soils microbial activity

Urbański

Jakubiak

2017

Journal of Water and Land Development

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The article considered the influence the various types of land use on microbial activity of soils and thus using this parameter as a universal test of soil quality. Samples for soil respiration studies were taken from agricultural areas, meadows, forests and urban areas (estate cottages). All samples were subjected to the same analytical procedure and the method of measurement was followed by a Substrate-Induced Respiration (SIR) method. Since all the samples were from neighbouring regions and were characterized by similar soil parameters, the obtained results allowed to assess the quality of the soil environment of the surveyed area and to evaluate the total rating of whole area. The obtained results allowed to observe slight divergences between soil samples taken from areas of different use. And although statistically, in this case, these differences were not significant, the characteristics of the respiration curves clearly indicate that there is a dependency between the form of use and the size and rate of soil respiration. In addition, the results have shown that single family housing does not exhibit as much anthropopression to the soil environment as it might seem.

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Dependence of soil respiration on soil moisture, clay content, soil organic matter, and CO2 uptake in dry grasslands

Cited by 150 publications

References 42 publications

Soil moisture influence on the interannual variation in temperature sensitivity of soil organic carbon mineralization in the Loess Plateau

Soil moisture influence on the interannual variation in temperature sensitivity of soil organic carbon mineralization in the Loess Plateau

Carbon fluxes of surfaces vs. ecosystems: advantages of measuring eddy covariance and soil respiration simultaneously in dry grassland ecosystems

Impact of land use on soils microbial activity

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