Abstract:Kazakhstan’s soil properties have yet to be comprehensively characterized. We sampled 40 sites consisting of ten major soil types at spring (wet) and late-summer (dry) seasons. The sample locations range from semi-arid to arid with an annual mean air temperature from 1.2 to 10.7 °C and annual precipitation from less than 200 to around 400 mm. Overall topsoil total (STC), organic (SOC), and inorganic (SIC) carbon did not change significantly between spring and late summer. STC and SOC show a wave like pattern f… Show more
“…There was also a trend that through the north-south transect (Fig. 2, based on data from Yapiyev et al (2018)), the soils samples become more alkaline from north to south which could be linked to more arid climate conditions and dominance of calcareous soils (Slessarev et al 2016) .…”
Section: Soil Propertiesmentioning
confidence: 97%
“…During sampling, following the removal of the litter layer if present (approximately the top 2 cm), drilled samples were cored from approximately 0-15 cm. The samples, then, were air-dried in the laboratory, sieved to < 2 mm, and stored at room temperature until analyzed (see also Methods section in Yapiyev et al (2018)). 6…”
Section: Sampling Area Sampling and Sample Handlingmentioning
confidence: 99%
“…Samples were pre-treated on the combustion boat by adding 100 μL of H3PO4 (30-40% w/w) to 100 mg milled soil to dissolve carbonates first. The samples were then dried overnight at 70 °C and finally subjected to combustion at 950 °C under 14 L × min −1 oxygen flow (see also Methods section in Yapiyev et al (2018)).…”
Section: Laboratory Analysesmentioning
confidence: 99%
“…Although Kazakhstan is the economical leader of Central Asia and one of the major developing countries around the world, the environmental consequences of this expansion has not yet been well studied. As a part of a large study that aims to investigate Kazakhstan's soils in terms of its physical and chemical properties (Yapiyev et al 2018), contamination status, and nutrient potential, the present study aims to investigate the distribution of selected PTEs (As, Cd, Co, Cr, Cu, Mn, Ni, Pb, and Zn) in topsoils of Kazakhstan collected through a north-south transect (n=40, sampling sites approx. 50 km apart) near highways connecting numerous major residential/industrial landmarks of the country.…”
Section: Introductionmentioning
confidence: 99%
“…Results for Shapiro-Wilk test and outlier points with PTE concentrations Supplementary Table1. Sampling points with data for nearby settlements, concentrations of selected PTEs (0-15 cm depth), and soil properties (fromYapiyev et al (2018))…”
The present study aims to investigate the distribution of selected potentially toxic elements (PTEs) in Kazakhstan's topsoils. Soil samples collected across a north-south gradient (n=40) near main highways connecting major residential/industrial areas were characterized for their As, Cd, Co, Cr, Cu, Mn, Ni, Pb, and Zn content as well as for soil physio-chemical properties. The majority of the soils had neutral pH (no significant relationship between pH and PTE concentrations). The soil organic carbon was higher at the northern and farther southern parts of the transect (along with higher concentrations of PTEs in soils). As, Mn, and Ni concentrations in soils were elevated in comparison to relevant background concentrations. Critical concentrations of As, Cd, Co, Mn, and Ni (with respect to regulatory limits) were found at multiple locations, with As being particularly of potential concern (range: 8.7-42 mg × kg −1 ). The distance from the nearest settlement seems to influence the soil PTE concentrations, however the relationship is not statistically significant. In total, eight locations had statistically outlier PTE concentrations for Cd, Mn, Ni, and Zn. The overall results were comparable to similar studies across the world except that the Pb content of the study soils was less elevated. Studies on site characterization and human health risk assessment covering identified hotspots and PTEs are recommended.
“…There was also a trend that through the north-south transect (Fig. 2, based on data from Yapiyev et al (2018)), the soils samples become more alkaline from north to south which could be linked to more arid climate conditions and dominance of calcareous soils (Slessarev et al 2016) .…”
Section: Soil Propertiesmentioning
confidence: 97%
“…During sampling, following the removal of the litter layer if present (approximately the top 2 cm), drilled samples were cored from approximately 0-15 cm. The samples, then, were air-dried in the laboratory, sieved to < 2 mm, and stored at room temperature until analyzed (see also Methods section in Yapiyev et al (2018)). 6…”
Section: Sampling Area Sampling and Sample Handlingmentioning
confidence: 99%
“…Samples were pre-treated on the combustion boat by adding 100 μL of H3PO4 (30-40% w/w) to 100 mg milled soil to dissolve carbonates first. The samples were then dried overnight at 70 °C and finally subjected to combustion at 950 °C under 14 L × min −1 oxygen flow (see also Methods section in Yapiyev et al (2018)).…”
Section: Laboratory Analysesmentioning
confidence: 99%
“…Although Kazakhstan is the economical leader of Central Asia and one of the major developing countries around the world, the environmental consequences of this expansion has not yet been well studied. As a part of a large study that aims to investigate Kazakhstan's soils in terms of its physical and chemical properties (Yapiyev et al 2018), contamination status, and nutrient potential, the present study aims to investigate the distribution of selected PTEs (As, Cd, Co, Cr, Cu, Mn, Ni, Pb, and Zn) in topsoils of Kazakhstan collected through a north-south transect (n=40, sampling sites approx. 50 km apart) near highways connecting numerous major residential/industrial landmarks of the country.…”
Section: Introductionmentioning
confidence: 99%
“…Results for Shapiro-Wilk test and outlier points with PTE concentrations Supplementary Table1. Sampling points with data for nearby settlements, concentrations of selected PTEs (0-15 cm depth), and soil properties (fromYapiyev et al (2018))…”
The present study aims to investigate the distribution of selected potentially toxic elements (PTEs) in Kazakhstan's topsoils. Soil samples collected across a north-south gradient (n=40) near main highways connecting major residential/industrial areas were characterized for their As, Cd, Co, Cr, Cu, Mn, Ni, Pb, and Zn content as well as for soil physio-chemical properties. The majority of the soils had neutral pH (no significant relationship between pH and PTE concentrations). The soil organic carbon was higher at the northern and farther southern parts of the transect (along with higher concentrations of PTEs in soils). As, Mn, and Ni concentrations in soils were elevated in comparison to relevant background concentrations. Critical concentrations of As, Cd, Co, Mn, and Ni (with respect to regulatory limits) were found at multiple locations, with As being particularly of potential concern (range: 8.7-42 mg × kg −1 ). The distance from the nearest settlement seems to influence the soil PTE concentrations, however the relationship is not statistically significant. In total, eight locations had statistically outlier PTE concentrations for Cd, Mn, Ni, and Zn. The overall results were comparable to similar studies across the world except that the Pb content of the study soils was less elevated. Studies on site characterization and human health risk assessment covering identified hotspots and PTEs are recommended.
Soil salinization is a critical environmental and socio‐economic concern with global implications, and its severity is expected to amplify under changing climate. The impact of climate change on salinization in Central Asia is still not fully understood. This study addresses this gap by employing a digital soil mapping (DSM) framework. Cubist, random forest (RF), and quantile regression forests (QRF) are utilized to project variations in soil surface salinity (0‐10 cm) in Central Asia from 2025 to 2100 under two shared socio‐economic pathways (SSPs): SSP2‐4.5 and SSP5‐8.5. These models are developed using data from 20 global climate models (GCMs) obtained from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The results reveal that the RF model exhibits superior predictive capability in estimating soil salinity. RF performed on the calibration set with a coefficient of determination (R2) of 0.86, root mean square error (RMSE) of 9.84 and 9.90 dS m−1, ratio of performance to interquartile distance (RPIQ) of 3.09 and 3.07, and a Nash–Sutcliffe efficiency (NSE) of 0.86. The multi‐GCM ensemble means revealed the potential for varying degrees of salinization in Central Asia, with higher levels predominantly observed in the southeast and southwest of the study area, particularly downstream of the river and in the lakeside areas. Temporal analysis of soil salinity evolution reveals an overall increase in salinity across the region, with more notable changes projected under SSP5‐8.5. Specifically, the projected increase rate in soil salinity for Central Asia was 0.0005 dS m−1/year under SSP2‐4.5 and 0.01 dS m−1/year under SSP5‐8.5. Turkmenistan is notable for possessing the highest regional average of soil salinity, with the exception of a declining trend observed within this area. The remaining regions of Central Asia exhibit an upward trend in average soil salinity, particularly noteworthy under the SSP5‐8.5 scenario, where variations in soil salinity are more obvious. These findings hold significant potential in enhancing our understanding of how Central Asia responds to global change, advances toward sustainable development, and enhances comprehension of the dynamics within the region.
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