Soil organic carbon dynamics and its influence on the soil erodibility factor

Kadlec, Václav; Holubík, Ondřej; Prochazkova, Eva; Urbanová, Jana; Tippl, M.

doi:10.17221/3/2012-swr

Cited by 32 publications

(17 citation statements)

References 34 publications

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“…For example, soil structure is one of the key factors in soil quality (Roger-Estrada et al 2010;Šimanský 2011a) because it plays an important role in forming the optimal physical conditions. Similarly, soil organic matter (SOM) plays an important role in controlling soil quality and resilience through affecting buffering capacity, microbial biodiversity, water retention, and structural stabilization (Balashov & Buchkina 2011;Kadlec et al 2012;Gaida et al 2013). Soil management can be responsible for soil structure changes (Bronick & Lal 2005;Balashov et al 2010;Šimanský 2011a;Slowinska-Jurkiewicz et al 2013), especially in vineyards (Šimanský 2012; Šimanský et al 2013).…”

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confidence: 99%

“…Information on the total organic carbon determined in different size fractions of aggregates is very important because it enables us to calculate the amount of organic matter that can potentially be lost due to the erosion process, which adversely affects the structural condition of the soil (Kadlec et al 2012). Micro-aggregates are faster and more easily taken away by erosion processes than larger macro-aggregates (Šimanský 2011b).…”

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confidence: 99%

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Stability of soil aggregates and their ability of carbon sequestration

Šimanský¹,

Bajčan²

2014

Soil & Water Res.

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AbstractŠimanský V., Bajčan D. (2014): Stability of soil aggregates and their ability of carbon sequestration. Soil & Water Res., 9: 111-118.One of the most important binding agents for forming stable aggregates is a soil organic matter (SOM), which can be retained in various size fractions of aggregates. If aggregates are water-resistant, they retain more carbon. Therefore, the aim of this study was to evaluate the stability of aggregates and their ability of carbon sequestration in different soil types and soil management systems in Slovakian vineyards. The highest content of water-stable macro-aggregates (WSA ma ) was determined in Cambisols, and the lowest in Fluvisols. The highest content of WSA ma (size fraction 0.5-3 mm) was determined in Chernozems, decreasing within the following sequence: Fluvisols > Leptosols > Cambisols > Luvisols. The soil type had a statistically significant influence on the re-distribution of soil organic matter in size fractions of water-stable aggregates. The highest content of SOM in water-stable aggregates of the vineyards was determined in grassy strips in-between the vineyard rows in comparison to intensively cultivated rows of vineyard. The highest values of carbon sequestration capacity (CSC) in WSA ma were found in Cambisols > Leptosols and the lowest values of CSC were in Fluvisols. The microaggregates represented a significant carbon reservoir for the intensively cultivated soils (rows of vineyard). On the other hand, increasing of macro-aggregates (size fraction 0.5-3 mm) was characteristic for grassland soils (between the rows of vineyard).

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confidence: 99%

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confidence: 99%

Stability of soil aggregates and their ability of carbon sequestration

Šimanský¹,

Bajčan²

2014

Soil & Water Res.

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“…The soil is classified as silt with low soil organic matter content identified as Haplic Cambisol (WRB 2006) and without a favourable moisture regime. The soil structure of topsoil corresponds mainly to crumb structure (Kadlec et al 2012;Kovář et al 2012). Specific site properties of the experimental plots are described in more detail by Kadlec et al (2012) and Kovář et al (2012).…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, the P factor was set as the value 0.7 according to a table by Wischmeier and Smith (1978). The soil erodibility (K) factor was determined on the basis of a research published by Kadlec et al (2012), who estimated the average K factor as the value of 0.046 (t•ha•h/ha•MJ•mm).…”

Section: Methodsmentioning

confidence: 99%

Comparison of different approaches to LS factor calculations based on a measured soil loss under simulated rainfall.

Hrabalíková¹,

Janeček²

2017

Soil Water Res.

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Hrabalíková M., Janeček M. (2017) Geographic Information Systems (GIS) in combination with soil loss models can enhance evaluation of soil erosion estimation. SAGA and ARC/INFO geographic information systems were used to estimate the topographic (LS) factor of the Universal Soil Loss Equation (USLE) that in turn was used to calculate the soil erosion on a long-term experimental plot near Prague in the Czech Republic. To determine the influence of a chosen algorithm on the soil erosion estimates a digital elevation model with high accuracy (1 × 1 m) and a measured soil loss under simulated rainfall were used. These then provided input for five GIS-based and two manual procedures of computing the combined slope length and steepness factor in the (R)USLE. The results of GIS-based (R)USLE erosion estimates from the seven procedures were compared to the measured soil loss from the 11 m long experimental plot and from 38 rainfall simulations performed here during 15 years. The results indicate that the GIS-based (R)USLE soil loss estimates from five different approaches to calculation of LS factor are lower than the measured average annual soil loss. The two remaining approaches over-predicted the measured soil loss. The best method for LS factor estimation on field scale is the original manual method of the USLE, which predicted the average soil loss with 6% difference from the measured soil loss. The second method is the GIS-based method that concluded a difference of 8%. The results of this study show the need for further work in the area of soil erosion estimation (with particular focus on the rill/ interrill ratio) using the GIS and USLE. The study also revealed the need for an application of the same approach to catchment area as it might bring different outcomes.

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“…or erosion process (Morgan 2005, Cantón et al 2009, Zádorová et al 2011, Kadlec et al 2012, Jakšík et al 2015; some of them bring comparison of different soil types (Kodešová et al 2009, Jirků et al 2013. However, there are few studies which would evaluate the soil structure stability compared to the simulated rainfall measurement (Le Bissonnais et al 1989, Legout et al 2005 on fallow land sites.…”

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confidence: 99%