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In this study, we present a detailed geochemical characterisation and stable isotope systematics of silver (Ag) in a mining waste facility at the Namib Lead & Zinc mine in Namibia (Africa). We examined a series of flotation tailings and ore minerals to address two principal questions: (1) the distribution, chemical form and leachability of Ag, and (2) the local Ag isotopic signature(s) and its variability in relation to Ag speciation in the solid phase, as well as the fate of stable Ag isotopes. Our findings reveal a significant correlation between Ag and Pb concentrations, indicating that galena is the primary Ag carrier. Most importantly, all mild extractions mobilised only a minimal amount of Ag (≤ 1 wt.% of the total amount). This suggests that most Ag is associated with geochemically stable phases, specifically sulphides, which are not subjected to leaching and/or intensive weathering. Unlike other isotope studies, the present research demonstrates a homogeneous Ag isotopic signal in the tailings and individual ore samples with an average δ¹⁰⁹Ag value of ~ 0‰ (± 0.1, 2SD). Therefore, this study provides new knowledge and clearly supports the use of Ag isotopic data to track primary Ag sources globally, not only in Africa.

Conservation grassland significantly reduces soil erosion risk in agricultural landscapes, as shown by a nationwide analysis of over 1.9 million Farmer’s blocks (DPBs) records from the Czech Republic (2016–2022). A logit regression model revealed that grassland establishment lowers the likelihood of erosion events by about 64%, with erosion risk strongly influenced by altitude, land use, and management practices. Spatial mapping and soil suitability classification identified nearly 240 00 hectares – mainly along 33 000 concentrated runoff pathways – as suitable for targeted grassland conversion. Despite its soil-protective function, high opportunity costs hinder uptake in economically productive regions. Cluster analysis across EU Member States confirmed a strong link between low permanent grassland share and high erosion exposure. The findings underscore the need for regionally tailored policies, long-term financial support, and flexible land management options to enhance soil resilience and promote sustainable agriculture.

The current erosion protection set up in the Czech Republic (CZ) is based on the long-term soil loss due to water erosion using the Universal Soil Loss Equation (USLE). The range of recommended values of tolerable soil loss by water varies among different authors and approaches, depending on the specific area and its parameters. It is, therefore, important to ask the following questions. What is the real range of soil loss by water erosion in CZ. To determine the range of soil loss, a model extrapolation was carried out. The model extrapolation was based on the results from two main experimental measurements. Both from the evaluated volume soil loss of real erosion events and field experiments based on measurements of erosion induced by artificial rainfall. The results of modelled extrapolation of the range of long-term soil loss are in the range 6.9–13.8 t/ha per year.

Strip tillage is a very popular form of conservation tillage that is used in places with a higher risk of soil erosion. It is commonly accepted that strip tillage reduces the effects of water erosion; however, the exact way this effect is produced is very hard to quantify. This study focuses on the way strip tillage influences soil moisture and the way it changes with different intensities of rainfall, in comparison with conventional tillage. This study was conducted near Petrovice, Středočeský kraj, Czechia, over the course of four years (2021–2024). The conditions of all four test sites were comparable, both in terms of slope and soil type present. The soil moisture of strip tillage in a depth of 15 cm was changing differently in comparison with conventional tillage. During lower intensity rainfall events, the soil moisture of the strip tilled plot changed significantly less in comparison with conventional tillage. On the contrary, when more intense precipitation occurred, the soil moisture in the strip-tilled plot responded with significantly higher changes in comparison with conventional tillage. Soil drying after precipitation was also studied, with the speed of drying of strip tillage being higher than that of conventional tillage. These findings help better understand the changes strip tillage introduces into the soil and to the crops it is used with.

Forest headwater streams serve as critical interfaces between terrestrial forests and downstream aquatic ecosystems, playing essential roles in the storage and movement of carbon (C) and nutrients. However, despite their importance, our understanding of the dynamics of plant litter calcium (Ca) and magnesium (Mg) stocks within these streams remains limited. In this study, we conducted a quantitative analysis of the spatiotemporal dynamics of plant litter Ca and Mg concentrations and stocks in a subtropical forest headwater stream from March 2021 to February 2022. We found that: (1) the average concentrations of litter Ca and Mg were 9.9 and 0.7 mg/g, respectively, with mean stocks of 8 792.3 and 620.8 mg/m², respectively; (2) significant variations in litter Ca and Mg concentrations were observed among non-woody debris (13.1 and 0.9 mg/g), fine woody debris (9.0 and 0.5 mg/g), and coarse woody debris (6.1 and 0.4 mg/g), though plant litter type did not significantly affect the stocks of Ca and Mg; and (3) the stocks of Ca and Mg were positively correlated with factors such as rainfall amount, rainfall frequency, water temperature, flow velocity, water depth, electrical conductivity, and discharge, while negatively correlated with stream water alkalinity and dissolved oxygen levels. These findings highlight the critical role of plant litter in headwater streams as a component of forest nutrient stocks and provide empirical support for incorporating headwater streams into the assessment of nutrient stocks and fluxes in forest ecosystems.

In this study, the effects of standard fertilisation versus variable fertilisation with mineral and organomineral fertilisers on N, P, K, Ca and Mg leaching from the ploughed layer and yields of winter wheat and spring wheat (Triticum aestivum L.) and spring barley (Hordeum vulgare L.) were studied. The losses of calcium were the highest, and phosphorus from phosphates was the lowest of all studied nutrients when simulated rainfall and lysimeters were used after the crops were harvested. The use of variable rate fertilisation reduced nitrates leaching in all the studied plots. Nevertheless, leaching of calcium, which is present in higher concentrations in soils (and also magnesium leaching), seems to be more dependent on the used fertilisers (or their combinations) and doses. As found in different studies, we proved that variable rate fertilisation may not increase grain yields.

This study investigated, for the first time, the efficacy of citric acid (CA) and ethylenediaminetetraacetic acid (EDTA) as electrolytes in electrokinetic remediation (EKR) for removing lead (Pb) and cadmium (Cd) from three distinct soils (Anthrosols soil, AT; Acrisols soil, AC; and Chernozems soil, CH). Under a voltage gradient of 2 V/cm and a remediation duration of 4 days, EDTA proved most effective for Anthrosols, achieving removal rates of 17.8% for Cd and 12.8% for Pb-lower than those observed for Acrisols and Chernozems, likely due to AT’s high pH background. These results suggest that combining EKR with other remediation techniques could enhance efficiency for such soils. For Acrisols soil, extending the remediation time to 10 days significantly improved metal removal: Cd removal reached 91.1% with CA, while Pb removal attained 62.7% with EDTA. Chernozems soil exhibited higher sensitivity to EKR, with pronounced focusing phenomena. In CH1, Cd removal in anode-proximal (S1) zone reached 99%, but accumulation in the cathode-adjacent (S4 and S5) reduced the average removal rate to 22%, indicating the potential for improvement through cathodic control. Similarly, in CH2, Pb removal in S5 achieved 84.8%, while focusing in S1 suggested the need for anodic optimisation. These findings highlight the influence of soil properties and operational parameters on EKR efficiency, providing insights for tailored remediation strategies.

Periodic waterlogging is more common due to more frequent extreme precipitation but its impact on soil organic carbon (SOC) loss is obscure in straw-return farmland. We compared soil properties and biochemical characteristics of SOC (compositions of non-cellulosic and amino polysaccharides) in adjacent periodic waterlogged farmland (PWF) and non-waterlogged farmland (NWF) in a semi-humid warm temperate region. SOC mineralization was also measured at 60% (aerobic) or 100% (anaerobic) of field capacity at 25 °C for 82 days. The negative effect of periodic waterlogging on SOC contents and soil aggregate stability were observed in the 20–80 cm depth but were offset in topsoil (0–20 cm) due to straw-return. Periodic waterlogging increased the non-cellulosic sugar content and amino sugar content in SOC and the mass ratio of (galactose plus mannose) to (arabinose plus xylose) at 40–80 cm depth except at 0–40 cm depth. By the end of 82 days’ incubation, when aeration status changed from anaerobic to aerobic conditions, total C loss as CO₂ increased similarly (123.9%) in PWF and NWF soils in the top 40 cm, but more C loss occurred under PWF than under NWF (78.9% vs. 46.9%) in the 40–80 cm depth, which was probably ascribed to its higher non-cellulosic sugar and amino sugar content. Our result emphasized the importance of straw-return for maintaining soil quality under periodic waterlogged farmland.

In this study, the evaluation of soil quality was realised using the Analytic Hierarchy Process, and the obtained values were integrated with Evaluated Soil Ecological Units (BPEJs). Different maps of the Czech Republic were elaborated with BPEJs classified into five soil protection classes based on the obtained model values (with or without the values for production potential), the ratio of 80% (production potential values) to 20% (model values) or 60% (production potential values) to 40% (model values) and 40% (production potential values) to 60% (model values). The evaluation of BPEJs based on the mentioned criteria showed differences in their classification into individual soil protection classes and possibilities of their use or withdrawal from the agricultural land fund. Compared with the existing categorization of BPEJs into soil protection classes (according to Decree No. 48/2011 Coll.), the use of presented model (plus production potential) values, the ratio of 80 : 20%, 60 : 40% or 40 : 60% (production potential: model) caused the numbers of BPEJs increased in those soil protection classes where the withdrawal of soils from the agricultural land fund is possible only exceptionally or it is possible to use the soils for building purposes only under certain conditions.

This study aims to identify the gully erosion typology and development using a geomorphological approach. Gully geomorphology features were executed using combined photogrammetric approaches: aerial photography (unmanned aerial vehicle, UAV) and terrestrial photo data (structure from motion, SfM). The UAV data are used to identify the gully orientation, while SfM derives the geomorphological features in the gully dimensions. Five canopy-free gully erosion points were selected for the UAV-SfM data acquisition. Typically, SfM data offer higher resolution (0.11–0.57 cm) than UAV data (0.61–2.08 cm). Modelling using SfM can provide an in-depth illustration of gully dimensions such as rill erosion, scars, and cracks. The findings demonstrate that the gully depth and width are larger on the middle slope. This phenomenon is influenced by the strength of the flow and the silt transported by the water, which reaches a peak on the middle slope. The lower slopes have a solid form since the power of the flow weakens as it transports the accumulated silt from the upper and middle slopes. The study’s findings can be relied on to guide communities in strengthening the gully body in the middle slope. Furthermore, the findings can be tested and adopted globally with comparable typologies.

Ground heat flux (G) is often an overlooked component of the surface energy balance, and its accurate determination remains challenging. In the present study, the accuracy of various G estimation methods is examined using long-term measurements from the Central European mountain meadow. The impact of different G approximation on calculated evapotranspiration by the Penman-Monteith method (ET) is analysed. Soil heat flux measurements and surface temperature data were used to determine G, while net radiation was used to approximate G. Neglecting G led to an overestimation of ET in the daily timestep. On the contrary, the FAO-recommended hourly approximation overestimated G, underestimating ET. Site-specific calibrations of G prediction models improved their accuracy. For daily average G, as well as for hourly average G, simple constant parameter models (i.e., models including a single parameter specifying the fraction of net radiation directly) provide satisfactory accuracy of ET evaluation. However, in an hourly timestep, net radiation fails as a predictor of G shortly after sunrise and before sunset. The findings emphasise the importance of considering G in ET calculations and the need for site-specific calibrations of G estimation models.

Soil salinity is a growing problem for agricultural production in irrigated areas of arid and semi-arid regions. The extent of salinity levels has not been fully studied in the Kesem irrigation scheme in Ethiopia's Afar region. The objective of the study was to identify the main issues related to soil salinity and their variations, and to assess the influence of environmental variables on soil salinity using multivariate analysis (MVA). The dominant cations in the soil were found to be soluble Na⁺, Ca²⁺ and K+ while SO₄^2-and Cl^- were the dominant anions. These ions are responsible for the salinity in the scheme. Groundwater table surveys showed that cultivated fields experienced greater fluctuations in groundwater levels compared to abandoned land due to frequent irrigation. The first two principal components (PCA) explained approximately 60% and 63% of the total variation in salinity for the top and bottom layers, respectively. The difference between the top and bottom layers suggests a management influence. According to redundancy analysis (RDA), the groundwater depth and length of irrigation years were identified as the major environmental factors contributing to 99% and 52% of the variability in salinity, respectively. These findings highlight the importance of considering the rising groundwater levels in future land management decisions.

Contour tillage is an agricultural practice that significantly contributes to enhancing water retention, reducing the risk of flooding, and mitigating soil erosion. Information about the tillage direction is used for modelling water and tillage erosion. In our study, we used Light Detection and Ranging (LiDAR) visualizations, originally developed for archaeological research, to visualise tillage traces and map tillage direction in the Nitra district (SW Slovakia). The tillage traces were visible in all agricultural parcels, on various agricultural fields, under various agricultural crops. The LiDAR visualisations also revealed pre-collectivization field patterns and even prehistorical field patterns in certain areas. Among the 5 961 investigated points, we recorded the application of contour tillage in 30.63% of the cases. The preference for contour tillage varied among farmers, with the highest reported percentage reaching 49.74%. Our analysis did not reveal a significant correlation between the preference for contour tillage and the slope steepness.

Soil water energy determines soil water balance, plant water uptake, and soil thermal properties, but the effects of cover crops (CCs) on in situ measured soil water energy and temperature are not well understood. This study investigated how CCs affect in situ measured soil water potential (SWP), temperature, and saturated hydraulic conductivity (K_fs) during 2 years, with the hypothesis that CC-induced water transpiration can lower SWP. The CCs used included crimson clover (Trifolium incarnatum L.), winter wheat (Triticum aestavum L.), hairy vetch (Vicia villosa), oats (Avena sativa), triticale (Titicale haxaploide Lart.), barley (Hordeum vulgare L.), flax (Linum usitatissimum L.), and winter peas (Lathyrus hirsutus L.). Soil water potential and temperature sensors were installed at 0–10, 10–20, and 20–30 cm depths. Additionally, K_fs was measured in situ using a Guelph permeameter. Results showed that actively growing CCs can lower SWP, leading to increased water transpiration from the field compared with no cover crop (NC) management. Also, by lowering soil temperature, CCs can increase evapotranspirational efficiency compared to NC management. Further, by increasing evapotranspirational efficiency, CC, management resulted in increased subsurface water infiltration and storage as shown by higher K_fs values compared to NC management. In general, CCs have the potential to reduce SWP and temperature during their growth stages and this can be beneficial to seed germination and microbial activities.

This work presents the advantages and risks of selected soil quality criteria using data from the monitoring of agricultural soils in the Czech Republic. Soil samples were taken from 71 sites covering various soil types. Basic soil parameters and mid-infrared spectra were measured. Indicators describing the quality of soil organic matter (SOM), and soil were calculated. The results show that soil types differ significantly in the qualitative indicators of soil organic matter. More acidic soils with lower clay content contain lower proportions of aromatic and higher proportions of aliphatic organic compounds than neutral soils with higher clay particles content. These soils differ little in total carbon content and C/N ratio but considerably in C/clay ratio. Cambisols are the least degraded soils in the Czech Republic in terms of C/clay ratio, which is controversial in many respects. The results indicate that more aliphatic organic matter is important for the SOM content in the upper part of the agricultural soil, and more aromatic organic matter is mainly bound to the clay fraction. The results raise questions about the suitability of uniform C/clay target values proposed in European legislation as a criterion for assessing soil degradation due to carbon loss.

Erratum in: Soil & Water Res., 20: 69. Doi: 10.17221/2/2025-SWR

Soil organic matter and pores distribution within aggregates were studied using X-ray computed tomography (XCT; Nikon XT H 225ST and GE Phoenix L240) and advanced 2D/3D measurements by the digital Keyence VHX-6000 microscope (Japan). A new methodological approach with computed tomography involvement for studying the spatial arrangement of pores, porosity, and soil morphology is presented. Changes in studied parameters are documented along the transect of intensively used Haplic Chernozem. Soil disturbance due to erosion and colluvial soil profile formation is reported. Moreover, soil organic matter quality and aggregate stability were evaluated. Obtained results showed statistically significant differences between the control and eroded sites and between eroded and accumulated sites. The correlation coefficients were the highest for soil organic carbon (SOC) and humic substances C_HS (r = 0.805) and C_HS and C_HA/C_FA (r = 0.764). The highest porosity, aggregates stability and coefficients stability were confirmed on the eroded site. The computed tomography measurements also document the high disturbance of Haplic Chernozem on the control site and the newly formed profile of Colluvisol. Despite excellent complementary technique further research is necessary to improve micro-XCT resolution and capacity for the soil micromorphological study.

Wind erosion primarily affects sandy soil in arid areas.  However, the specific winter meteorological conditions (freeze-thaw cycles) lead to the disintegration of aggregates into erosion-risk fractions even on clay soils. These changes in the winter erodibility of clay soils were investigated in an area with frequent occurrences of wind erosion in southeastern Moravia (Czech Republic, Central Europe) between the years 2014/2015 and 2020/2021.  The percentage of non-erodible fraction (NEF) before and after winter was assessed. NEF was set as particles larger than 0.84 mm and also larger than 2.00 mm (based on field observations), while soils containing less than 40% NEF have the highest susceptibility to wind erosion. Autumn NEF_0.84 content was 80 and 95%, indicating significant resistance to wind, and although there was a significant decrease in spring to 65%, it still exceeded the 40% threshold. Autumn NEF_2.00 content of 60–70% also indicates a significant resistance to wind erosion. However, spring values were well below the 40% threshold (8 to 35%), indicating significant susceptibility to wind erosion. It showed a significant negative influence of winter on NEF2.00 content and, thus, a greater susceptibility to erosion in spring compared to NEF_0.84. Our results also document vegetation efficiency on the presence of NEF.

At the soil level, earthworms are key indicators of water-related processes which help soils to accept, retain, release and transmit water by influencing the soil structure through their burrowing, casts, and drilosphere. The water repellency is an indicator of soil structure stability both for the natural soil and for the earthworm casts (bioturbated soil). The water repellency of earthworm casts is a complex property that should be approached both at ecological and functional level in earthworm categorization because this cast property influences the transport and flow processes in soil, such as those of water, nutrients, pollutants, and gas diffusion. The earthworms have been described as bioremediators of soil water repellency. Casts of the earthworm species Lumbricus terrestris collected from an urban green space have been analysed for particle size composition (texture), organic carbon (OC) content and CaCO₃ content in relation to their water repellency (the hydrophobicity). The findings of this study showed that the main drivers determining the water repellency of the casts of L. terrestris, as indicator of their structural stability, are chemical (the contents of OC and respectively CaCO₃) and physical (contents of clay, silt and fine sand). The water repellency (hydrophobicity) of the casts decreased with their content of clay and silt and increased with their content of organic matter and CaCO₃. The hydrophobicity of earthworm casts is in direct positive relation with their previous water accumulation, i.e. the current penetration time of water increases or decreases if the previous penetration time of the water increased or decreased, respectively. The water drop penetration times indicated that the analysed earthworm casts were slightly water-repellent. A small to medium degree of water repellency has been mostly reported as appropriate for the aggregate stability of the soil.

Many methods are used in a laboratory for packing sieved soil. Determination of soil properties is expected to vary with the applied packing method. The objective of this investigation was to test the impact of initial soil sieving duration and scraping of exposed soil surfaces on saturated hydraulic conductivity (K_s) of an initially air-dry loam soil determined by the simplified falling-head technique. Two sieving durations (5 and 30 min) were considered. A brush was used to scrape exposed surfaces for half of the tested soil columns. A long sieving yielded finer soil than a short sieving and 9–22% smaller values of K_s. Scraping the exposed soil surfaces yielded 4–17% smaller K_s values than those obtained on the not scraped columns. None of the observed differences was statistically significant. Therefore, sieving duration and treatment of the exposed soil surfaces were minor factors influencing the determination of K_s. Reaching general conclusions about sieving duration and scraping effects requires testing these factors with other soils, initial soil water conditions and K_s measurement techniques.

This study aimed to examine the changes in selected soil properties at Lítov spoil heap (Sokolov, Czech Republic) and compare the current situation with the situation described twenty years ago. A total of 110 soil samples were taken at Lítov at the same sites as in 1998. The analyses of basic soil characteristics involved: exchangeable soil pH (pH_KCl), organic carbon content (C_ox), quality of humic substances (A_400/A₆₀₀), exchangeable acidity (E_a), and two types of aluminium contents in the soil. Changes in all soil characteristics between 1998 and 2018 were statistically evaluated, compared, and visualized using Geographical Information Systems (GIS). We have observed an increase of pH_KCl, C_ox and a slight improvement in humus quality compared to the results from 1998. The temporal changes of soil characteristics were evident in the whole area, and the influence of reclamation methods was also pronounced. Soil development close to the regional common natural conditions was found in the area where agricultural reclamation measures (i.e., covering with topsoil) were carried out. Furthermore, afforestation – mainly by deciduous trees – supported the improvement of soil characteristics favourable for plant growth. High pyrite content and marshland were identified as the main causes that led to vegetation cover mortality.

Most studies of agroforestry system biodiversity focus on assessing visible, aboveground biodiversity, largely ignoring soil biodiversity. To fill this gap, a preliminary assessment of soil biodiversity in an agroforestry system was undertaken based on changes in soil enzyme activity. The study was conducted in the village of Maziarnia, Lubelskie Voivodeship, Poland, Europe. Arable fields with spring wheat, mid-field trees and perennial mixed forest were selected for the study. Soil material for physicochemical analyses (pH_H2O, pH_KCl, sorption properties, total carbon and total nitrogen) and biochemical analyses (activity of acid phosphatase, alkaline phosphatase, urease and dehydrogenases) was collected in the spring and autumn of 2022. The present study showed that the biochemical properties of the soils of the selected study sites varied depending on the type of ecosystem determining habitat conditions. Each ecosystem that makes up the agroforestry system studied is characterised by a distinctive microbiome composition and its own level of enzymatic activity. The obtained results support the thesis that agroforestry systems significantly increase the functional diversity and overall biodiversity of agricultural landscapes. However, a full, objective characterisation of the processes taking place in agroforestry systems requires long-term monitoring.

Soil salinization is one of the most widespread soil degradation processes, especially in arid and semi-arid regions. In such climatic conditions, soluble salts accumulate in the soil, leading to deterioration in soil properties and ultimately reduced crop yield. The purpose of this study was to analyse the relationship between the level of soil salinity and the main spectral indicators obtained from Landsat satellite data. The studied area was the Maisky district, which is located in the southeastern part of the Pavlodar region of Kazakhstan. The variants of the research were agricultural lands using sprinkler irrigation and flood irrigation, as well as sites without irrigation. To analyse the relationships, we used the normalized difference vegetation index (NDVI), salinity indices (SI) and soil indices such as SI 1, SI 2, SI 3, SI 4, normalized difference salinity index (NDSI), soil adjusted vegetation index (SAVI), and brightness index (BI). The normalized difference salinity index (R-NIR)/(R + NIR), using a quadratic statistical relationship, showed the best correlation with the laboratory data. The vegetation index NDVI showed the weakest correlation due to dryness or poor crop growth. As a result of the lack of clear control over irrigation and agrotechnical measures, the indicators of cation exchange capacity in irrigated plots using the flooding method were higher than in other irrigation methods. During irrigation, it is necessary to ensure clear rules, according to which the supplied water and fertilizers will have a positive effect on the soil and the entire agroecosystem. The methods used in this research can be useful in mapping and studying saline soils using satellite data in natural and climatic conditions of arid and semi-arid regions.

The purpose of this study was to evaluate the application of biostimulation and bioventing for the treatment of crude oil-contaminated soils. The research needed to check how various industrial biostimulants will perform in the treatment of contaminated soils and whether or not there is a synergetic effect that has to do with the stimulant composition. Soil samples used for this study were collected from South Africa. The soil samples were air-dried for 24 h and subsequently passed through a standard sieve of 2 mm screen. The soil consists of 79.32% sand (2.00–0.02 mm), 14.71% silt (0.02–0.002 mm) and 5.97% clay (< 0.002 mm). A microcosm system containing 1 kg of soil contaminated with crude oil (5% w/w) for biostimulation (BSTc) treatment was amended with varying ratios of municipal wastewater (MWW) and brewery wastewater (BWW) to investigate the possible synergy. The bioventing (BVTc) treatment involves the supply of atmospheric air to the bioreactors through the vadose zone for 30mins flow duration every 48 h intervals at ambient condition for 28 days. The BSTc and BVTc treatments recorded 48–58% and 54–75% total petroleum hydrocarbon (TPH) removal efficiencies, respectively, as the BWW amendment noted appreciable removal compared to MWW, while the control treatment recorded 35%. The result showed that the attempt to boost the TPH removal efficiency using the bioventing with the wastewater amendment was effective, as the presence of enough oxygen in the system resuscitated the activities of the microbial community for enhanced TPH biodegradation. This study inferred that combined bioventing and biostimulation techniques proved to be an effective bioremediation strategy for the treatment of crude oil contaminated soils and could serve as a vital tool towards the mitigation of pollution aftermath faced by communities involved in oil production and/or processing activities.

The depletion of organic carbon in the topsoil and the reduction of the humic horizon leads to a decrease in soil productivity. This study focussed on evaluating the influence of water erosion on the quantity and quality of organic carbon (OC) in the topsoil. The determination of the differences in the OC with dependence on the soil thickness and the role of the soil texture in a depletion of OC in the humic horizon and its labile fractions were studied in four arable land localities (Haplic Chernozem, HC; Eutric Regosol, ER). The following carbon parameters were included: total organic carbon (TOC), labile carbon oxidisable by KMnO₄ (C_L), cold and hot water-extractable organic carbons (CWEOCs) and (HWEOCs), respectively. The higher the soil thickness was, the higher the OC contents were at a depth of up to 0.1 m (TOC; r =0.387, P < 0.01; C_L; r = 0.266, P < 0.01), which indicates a more pronounced organic and mineral material washing off. This process was more pronounced on the texturally finer HC than the coarser ER soil. In the case of water-extractable organic carbon (WEOC), the vertical movement was dominant, while in the case of C_L, the horizontal one was dominant. In the case of erosion, the spatial variability of the OC is not only the result of the erosion-accumulation activities, but also from the proportion of the OC forms. The erosion significantly interferes in the stabilisation mechanisms of organic substances, and even also influences one of the strongest factors – the soil texture.

This study aims to compare the soil quality indexing model by adding and weighting the soil under different land uses and slope positions on the southwest slope of Mount Merapi, Indonesia. Soil sampling was carried out based on a landscape analysis divided into four geomorphological units (slopes): upper, middle, lower and foot slopes. The research design was nested where the soil sample was located (surface soil 0–30 cm). Based on the research results, soil quality indices (SQI) of forest on the upper slopes is very high. SQI of dry fields on the middle, lower and foot slopes is low to medium. SQI of mixed gardens on the middle and lower slopes is low to medium. SQI of snake fruit land on the middle, lower and foot slopes is medium to high. SQI of grassland on the lower slopes is medium to high, and SQI of paddy fields on the foot slopes is medium to high. Weighted soil quality index (SQIw) has a higher correlation (R² = 0.90) and can predict soil quality better than the adding soil quality index (SQIa) model (R² = 0.76). Indicators that most influence soil quality are the percentage of sand, total N, C-POM, C-Min, pH, and aggregate stability, that indicators are entirely influenced by organic matter, site-specific management to maintain SQI by maintaining organic matter. The selected indicators in this study can be used to determine the SQI in similar areas.

Soil is an irreplaceable natural resource, with irreplaceable ecosystem functions. One of the greatest risks of soil degradation in the Czech Republic is accelerated erosion, which causes numerous damages to soil properties with negative impacts on the environment. The climate development in recent decades and its forecasts may further intensify these processes. This article deals with the analysis of the impacts of changes in selected climatic factors on the development of erosion processes, which in the conditions of the Czech Republic are influenced mainly by the development of precipitation in the growing season and the development of the values of erosion potential of water released by snowmelt in the winter (non-growing) period. The analysis was carried out on a total area of 459.5 km², in different morphological and climatic conditions. The impact of climate change was assessed using historical and updated values of rain erosivity and snow erosion potential factors. The results show an increase in the risk of erosive loss in the growing season for all the analysed areas, while the values of erosive loss in the non-growing period differ from each other depending on the climatic and morphological conditions of the areas under study.

Soil organic carbon (SOC) is an important soil characteristic as well as a way how to mitigate climate change. Information on its content and spatial distribution is thus crucial. Digital soil mapping (DSM) is a suitable way to evaluate spatial distribution of soil properties thanks to its ability to obtain accurate information about soil. This research aims to apply machine learning algorithms using various environmental covariates to generate digital SOC maps for mineral topsoils in the Liberec and Domažlice districts, located in the Czech Republic. The soil class, land cover, and geology maps as well as terrain covariates extracted from the digital elevation model and remote sensing data were used as covariates in modelling. The spatial distribution of SOC was predicted based on its relationships with covariates using random forest (RF), cubist, and quantile random forest (QRF) models. Results of the RF model showed that land cover (vegetation) and elevation were the most important environmental variables in the SOC prediction in both districts. The RF had better efficiency and accuracy than the cubist and QRF to predict SOC in both districts. The greatest R² value (0.63) was observed in the Domažlice district using the RF model. However, cubist and QRF showed appropriate performance in both districts, too.

Water erosion poses a significant threat to more than 50% of agricultural land in the Czech Republic. Maize (Zea mays L.) is particularly susceptible to soil erosion, with the bare soil space between maize rows exposed to erosive agents. Intercropping has emerged as a potential solution to mitigate soil erosion risks in maize cultivation. A series of soil erosion field experiments were conducted from 2022 to 2023 using natural rainfall to investigate the influence of selected intercrop mixtures during the growing season on sediment yields and surface runoff volume. The results revealed a gradual decrease in surface runoff volume and sediment yields over the growing season. Significantly reduced surface runoff volume and soil loss were observed in two tested intercropped plots S2 – rye (Secale cereale) and incarnate clover (Trifolium incarnatum); S3 – ryegrass only (Lolium)), compared to a control plot managed conventionally with maize (S1). Surface runoff volume and soil loss from S2 and S3 reached 2.57–43.5% and 1.26–11.65% of the control plot, respectively. These findings highlight the soil conservation effect of intercrop technologies (S2 and S3) in mitigating soil erosion in maize cultivation. The importance of vegetation cover in reducing soil erosion intensified over time. Intercropping holds promise as a sustainable agricultural management strategy for sloping maize fields.

Life Cycle Assessment (LCA) is normally used independently of the physical and temporal location of the product, process or service under analysis. This makes LCA results more easily comparable and globally accepted. At the same time, it has drawbacks though, e.g. land use will have the same impact regardless of location. However, the use of certain terrains in high erosion risk areas as compared to others in low erosion risk areas will have a different impact on the ecosystem. The availability of airborne Light Detection and Ranging (LiDAR) data (ALS) allows a quick and accurate morphogeometric analysis of any terrain. For this reason, this article offers a methodology, based on Revised Universal Soil Loss Equation (RUSLE) method and airborne LiDAR data, for the straightforward detection of zones with high vulnerability to erosion problems. Based on these local erosion risk data, a method is developed to assess the environmental impact of land use, based on its location. In this way, the LCA methodology is incorporated to gather local data, dependent on the specific location of the activity under analysis. The methodology developed has been applied, as a case study, to a specific municipality in the high mountains of the Autonomous Community of La Rioja (Spain).