Impact of climate changes on erosion processes in Republic of Bashkortostan

Sobol, N. V.; Габбасова, И. М.; Komissarov, Mikhail

doi:10.1134/s2079096115040137

Cited by 12 publications

(10 citation statements)

References 3 publications

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“…Discussion. The fulfilled forecast confirms the tendency of decreasing spring erosion losses of soil by melt waters outlined in recent years (Barabanov et al, 2016;Golosov et al, 2011;Gusarov et al, 2018;Komissarov and Gabbasov, 2014;Medvedev et al, 2016;Petelko and Panov, 2014;Petelko and Barabanov, 2016;Sobol et al, 2015). In Ukraine, it is a decrease of the surface runoff of melt waters that will play the main role in the predicted very significant decrease in the magnitude of erosion soil loss.…”

Section: Forecast Of Changes Of Sediment Concentration In Surface Runsupporting

confidence: 79%

“…Long-term monitoring conducted within the within the East European Plain revealed a strong tendency to reduction of spring surface runoff and soil erosion in the recent decades (Barabanov et al, 2016;Golosov et al, 2011;Gusarov et al, 2018;Medvedev et al, 2016;Petelko and Panov, 2014;Petelko and Barabanov, 2016;Sobol et al, 2015). Medvedev et al (2016) and Gusarov et al (2018) believe that the main reasons for reduction of the spring surface runoff and soil erosion are decrease of water equivalent of snow by the beginning of snow melting and decrease of soil freezing depth.…”

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confidence: 99%

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Long-term forecast of changes in soil erosion losses during spring snowmelt caused by climate within the plain part of Ukraine

Svetlitchnyi¹

2020

Journ. Geol., Geogr., and Geoec..

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The paper deals with the forecast of changes in erosion soil losses during the spring snowmelt due to climate change in the regions of Ukraine in the middle of the 21st century (during 2031–2050) and at its end (during 2081–2100) compared with the values of the baseline period (1961–1990). The forecast is based on the use of the so-called “hydrometeorological factor of spring soil loss”. This factor is a part of the physical-statistical mathematical model of soil erosion lossduring spring snowmelt, developed at the Department of Physical Geography of Odesa I. I. Mechnikov State (since 2000 — National) University during the 1980s – 1990s. The long-term average value of the hydrometeorological factor is linearly related to the long-term average value of spring erosion soil loss. Therefore, the relative change in the hydrometeorological factor corresponds to the relative change in soil erosion losses. The developed methodology for assessing climate-induced changes in soil erosion losses in five regions of Ukraine (North, West, Center, East and South) takes into account the change in water equivalent of snow cover at the beginning of snow melting, the change in surface runoff and its turbidity, and changes in soil erodibility. The forecast of changes in erosion soil loss was carried out using projections of annual and monthly average air temperatures and precipitation for 2031–2050 and 2081–2100 in accordance with scenario A1B from AR4 of the IPCC. As a result of the research, it was found that both in the middle and at the end of the 21st century a decrease in the rate of soil erosion during the period of spring snowmelt is expected. During 2031–2050, the expected soil losses will be less than corresponding baseline period values within the West region by 79%, within the North and East regions by 81%, and within the Center region by 85%. In the South region, the spring soil losses will be zero due to the lack of snow cover. During 2081–2100 snow cover will be absent not only in the South region, but also in the Center and East regions. In the regions North and West snow cover will remain, but the spring soil erosion losses will decrease by dozens of times and will be so small that they can also be ignored.

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Section: Forecast Of Changes Of Sediment Concentration In Surface Runsupporting

confidence: 79%

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confidence: 99%

Long-term forecast of changes in soil erosion losses during spring snowmelt caused by climate within the plain part of Ukraine

Svetlitchnyi¹

2020

Journ. Geol., Geogr., and Geoec..

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“…2017). The Republic of Bashkortostan is located in the southern part of the Ural Mountains and characterized by actively occurring processes of water and wind erosion (Sobol, N.V. et al 2015;Gabbasova, I.M. et al 2016;.…”

Section: Introductionmentioning

confidence: 99%

Mapping soil organic carbon under erosion processes using remote sensing

et al. 2021

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This study aimed to map soil organic carbon under erosion processes on an arable field in the Republic of Bashkortostan (Russia). To estimate the spatial distribution of organic carbon in the Haplic Chernozem topsoil, we applied Sentinel-2A satellite data and the linear regression method. We used 13 satellite bands and 15 calculated spectral indices for regression modelling. A regression model with an average prediction level has been created (R2 = 0.58, RMSE = 0.56, RPD = 1.61). Based on the regression model, cartographic materials for organic carbon content have been created. Water flows and erosion processes were determined using the calculated Flow Accumulation model. The relationship between organic carbon, biological activity, and erosion conditions is shown. The 13C-NMR spectroscopy method was used to estimate the content and nature of humic substances of different soil samples. Based on the 213C-NMR analysis, a correlation was established with the spectral reflectivity of eroded and non-eroded soils. It was revealed that the effect of soil organic carbon on spectral reflectivity depends not only on the quantity but also on the quality of humic substances and soil formation conditions.

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“…The period with a stable snow cover lasts on average about 5.5 months (from November to April); the average snowpack depth is 0.5 m. The depth of soil freezing reaches 94 cm [25], which, combined with other agro-climatic factors, contributes to soil erosion during snowmelt [26]. Broad-leaved forests with an admixture of birch and oak are widespread in the region Wind erosion is minimal in the study region despite the low forest cover [27].…”

Section: Study Site Descriptionmentioning

confidence: 99%

Comparative Assessment of Digital and Conventional Soil Mapping: A Case Study of the Southern Cis-Ural Region, Russia

et al. 2022

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Digital mapping was applied for a key site located at the Southern Cis-Ural region near Ufa city (the Republic of Bashkortostan, Russia). The digital soil map (DSM) was created using the open-source GIS software packages and compared to a conventional (CSM) one. As input parameters, we used standard morphometric values of the topography and field descriptions of soils, including the authors’ data. The DSM was created at the same scale (1:25,000) as the CSM, and soils of different classes were grouped according to the principle of genetic homogeneity and regional agroecological value. Comparing DSM and CSM showed several significant differences in the position, areas, and boundaries of hydromorphic soils and chernozems. The DSM has advantages over CSM at estimating smaller soil areas (areals) and their boundaries, in particular, on elevated topography elements (hills and steep slopes) and upper links of the erosion network (small dry valleys, hollows, and gullies). On the other hand, fluvial soils are mapped rather poorly by the digital approach, and CSM is more appropriate for such soils’ areals. The highest discrepancy is confined to the areas of eroded soils and fluvisols (15% and 12% of total area, respectively) due to significant differences in DSM and CSM approaches for such soil groups. We suppose that the digital method is effective and suitable for the Cis-Ural region, despite 57% soil taxa (types) prediction accuracy and the complexity of the territory by its ruggedness, erosion, and suffusion processes. The implementation and further use of digital mapping methods increase the quality of work, reduce its cost and terms in the region.

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Impact of climate changes on erosion processes in Republic of Bashkortostan

Cited by 12 publications

References 3 publications

Long-term forecast of changes in soil erosion losses during spring snowmelt caused by climate within the plain part of Ukraine

Long-term forecast of changes in soil erosion losses during spring snowmelt caused by climate within the plain part of Ukraine

Mapping soil organic carbon under erosion processes using remote sensing

Comparative Assessment of Digital and Conventional Soil Mapping: A Case Study of the Southern Cis-Ural Region, Russia

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