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Calcareous soils, typically characterized by low fertility, low organic matter and nitrogen content, and often deficient in phosphorus, zinc, and iron, as well as having low microbial activity, require the development of sustainable soil conditioners to improve fertility. To address these shortcomings and promote sustainable agriculture, biochar, especially with acidic character, may offer a promising solution. This study investigates the effects of modified biochar by H₂SO₄ and ZnSO₄ on soil properties and wheat yield under field conditions. For this purpose, biochar (B), acidified biochar (AB), Zn enriched biochar (BZn), and acidified-Zn enriched biochar (ABZn) were applied to the field at two different doses (0.5 and 1.0%) together with the control treatment (Ck) without biochar application. AB_1.0% was determined as the most effective treatment in decreasing soil pH (0.15 units), while B1.0% was determined as the most effective treatment in increasing organic carbon and cation exchange capacity, 13% and 32%, respectively. The effect of the treatments varied for specific nutrients. The highest antioxidant enzyme activities were found in acidified biochars where the lowest yields were obtained. Compared to the Ck, the highest catalase (CAT) (32%) was determined in ABZn_1.0%, ascorbate peroxidase (APX) (56%) and glutathione peroxidase (GPX) (36%) were determined in ABZn_0.5%, and superoxide dismutase (SOD) (28%) was determined in AB_0.5%. The highest proline (PRO), with the least decrease in yield, was found in the AB_1.0% application, which is 205% more than Ck. B and BZn treatments all increased the grain yield, and the highest increase was 20% in B_1.0% when compared to the Ck.

Wind erosion represents a locally significant soil degradation process in the Czech Republic, particularly in intensively farmed lowland regions. While areas susceptible to wind erosion have been previously identified, spatially explicit quantification of potential soil loss expressed in t/ha per year at the national scale has so far been lacking. This study presents a comprehensive assessment of potential wind-driven soil loss across the Czech Republic using the Wind Erosion Equation (WEQ). Special attention is given to the soil erodibility index (I), which was derived from extensive laboratory analyses of soil aggregates and evaluated using multiple statistical representations (Q₂₅, median, mean, Q₇₅, and Q₉₀). The resulting variants were used to quantify the sensitivity of modelled soil loss to erodibility assumptions and to compare exceedance of national (9 t/ha per year) and European (2 t/ha per year) reference limits. Results show substantial spatial variability in index I and associated soil loss estimates. Using the recommended median-based variant, approximately 10% of agricultural land exceeds the European reference limit, while only 0.8% exceeds the national threshold. Higher quantile scenarios (Q₇₅ and Q₉₀) identify erosion hotspots in dry lowland regions and are suitable for preventive planning. The presented outputs provide the first spatially consistent national framework for assessing potential wind erosion losses in the Czech Republic.

Measuring the reference evapotranspiration (ET₀) is difficult and costly. Some regions can have variable microclimates and these can often be quite far from climate stations. Therefore, it is optimal to use local measurements rather than a regionally calculated ET₀. In this respect, one piece of equipment that provides cheap and reliable measurement results is ET_Gauge equipment. In this study, ET₀ values measured with ET_Gauge equipment were compared with daily and monthly ET₀ values calculated by five different commonly used empirical methods (Thornthwaite_Adj, Blaney-Criddle, Penman-Monteith = PM, Jensen-Haise and ASCE standardised Penman-Monteith = ASCE SZ PM). During the measurement period, daily ET₀ values measured with ET_Gauge varied between 0–10 mm/day and the average was determined as 4.5 ± 2.7 mm/day in the study area. In the calculations made with the empirical models, the change in Thornthwaite_Adj is 1.3–6.6 mm/day with an average of 3.8 ± 1.6 mm/day, the change in Blaney-Criddle is 1.8–7.2 mm per day with an average of 5.1 ± 1.4, the change in PM is 1.2–10.5 mm/day with an average of 5.8 ± 2.7 mm/day, the change in Jensen-Haise was 5.8 ± 2.7 mm/day with an average of 5.5 ± 2.7 mm/day, and the change in ASCE SZ PM was calculated as 1.0–10.1 mm/day with an average of 5.4 ± 2.5 mm/day. Considering the obtained results, the ET_Gauge equipment can be used safely in creating irrigation programmes.

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.

Rainfall is a major contributor to water erosion of sloping cropland in Northeast China. Identifying how rainfall and slope gradient (S) influence runoff depth (RD) and sediment yield (SY) is crucial for preventing water erosion. Field measurements from runoff plots were collected from 2023 to 2024, and K-means clustering was applied to clarify the rainfall patterns. Response of RD and SY to the rainfall pattern and S were analysed. Key factors impacting RD and SY were explored. The results showed that three rainfall patterns were identified for 34 erosive rainfall events: A (41.2%, medium duration, medium rainfall intensity, and medium rainfall amount (RA)). B (50.0%, short duration, high rainfall intensity, and low RA) and C (5.4%, long duration, low rainfall intensity, high RA). Furthermore, the cumulative RD and SY increased with S for the same rainfall pattern. The cumulative RD and SY responded similarly to rainfall patterns for the same S. The contribution of the rainfall pattern to the cumulative RD and SY decreased in the order of C, A, and B. In addition, rainfall duration (D) and maximum 30-minute rainfall intensity were the key factors affecting RD and SY for rainfall pattern A, respectively. Rainfall erosivity (R) was the key factor affecting RD and SY for rainfall pattern B and C. R and RD were the dominant factors influencing the RD and SY for all rainfall events, respectively.

This study systematically investigated the synergistic improvement of expansive soil using organic fertiliser (OF), slow-release fertiliser (SRF), and rice straw (RS) through Box-Behnken design (BBD) and response surface methodology (RSM). Key findings include: the quadratic models demonstrated high statistical significance (root density: R² = 0.765, F = 25.84; shear strength: R² = 0.885, F = 18.65; swelling rate: R² = 0.20, F = 15.23; all P < 0.001) with low prediction errors (root content: ± 0.08 mg/cm³; shear strength: ± 0.58 kPa; swelling rate: ± 0.38%); The combination of 12.30% OF + 0.7 kg/m³ SRF + 0.4% RS achieved 58% improvement in shear strength, 32% improvement in root content, 42.7% reduction in swelling rate; OF exhibited negative linear effects on root density (β = – 0.18, P = 0.002) with >10% dosage reducing root growth by 9.0%; SRF showed positive linear impacts on shear strength (β = +0.25, P = 0.001) and root density (β = + 0.12, P = 0.023); RS enhanced shear strength below 0.5% (β = + 0.08, P = 0.042) but impaired root density due to pore clogging (β = – 0.15, P = 0.008). The optimised formulation, validated by triplicate centre-point tests (coefficient of variation ≤ 2.1%), is recommended for slope stabilisation while limiting OF to ≤ 10% to prevent performance degradation. This data-driven approach provides actionable insights for balancing agricultural waste utilisation and geotechnical performance in expansive soil improvement.

This research focuses on the effects of large-scale clearcuts resulting from salvage logging after spruce (Picea abies) forest dieback caused by an extreme bark beetle infestation, and on the effect of logging residues management (chopping vs. clearing) on the distribution of potentially toxic elements (PTEs) in soil. Pseudo-total contents of Cd, Cr, Cu, Ni, Pb and Zn were determined in soil samples collected separately from the organic (F+H) and mineral (0–10, 10–20, and 20–30 cm depths) soil layers. The distribution of elements was influenced mainly by sampling locality and position in the soil profile. In general, the contents of Cd, Ni and Cr were higher in the mineral layers, whereas Pb was more concentrated in the FH layer. A significant effect of logging residues management on the distribution of PTEs was observed only for Pb and Zn. We expect that the relative decrease of Pb and increase of Zn contents in the “chopped” treatment was mostly due to the higher input of mineral soil and wood residues to the FH layer. Since the stand was harvested relatively recently, the effects of soil preparation have probably outweighed those of spreading or removing logging residues.

In order to remove soil tetracycline residue and identify the effect of tetracycline on soil nematode community, agricultural waste returning was applied in a maize monocropping field, northeast China. The results showed that plant parasites were the dominant genera in high concentration of soil tetracycline; however, bacterivores were the dominant genera in all organic matter amendments. Maturity index, structure index and enrichment index showed the highest values in biochar and compost mixed amendments and these treatments had the highest tetracycline removal rate and the highest concentration of macro-aggregates, total organic C and available N, followed by biochar seperate amendments. Overall, biochar and compost mixed amendments efficiently reduced the risk of soil tetracycline pollution below the threshold, with the characteristics of cheap, improving soil fertility and above all, environmentally friendly.

Machine learning makes geochemical mapping highly adaptable, as its data-driven nature allows predictions to evolve with new information. In this study, topsoil nickel (Ni) data were compiled from various sources, each with different sampling times and analytical methods. To effectively use such imbalanced data into spatial modelling, it was necessary to test how the data uncertainty propagated through the final maps. A comprehensive benchmark of the quantile random forest algorithm was conducted to identify conditions under which the model performs optimally. Predictive maps of topsoil Ni at a 20-metre resolution were subsequently generated and compared using a multi-faceted evaluation strategy. This approach assessed how model adjustments – particularly those addressing the uncertainty introduced by the regression-based conversion of legacy measurements – affected the performance. Extensive benchmarking revealed that while out-of-sample validation showed only modest improvements (e.g., root mean square error (RMSE) reduced from 12.6 to 11.2 mg/kg) when modifying training data, covariates, or algorithm parameters, the resulting prediction grids differed substantially. The analysis also demonstrated that output variability across model scenarios occurred at different spatial scales: weighting approaches had localised effects, whereas high variability in the input data propagated more broadly across the region.

Soil rill erodibility (K_r) and critical shear stress (τ_c) are important parameters in some physical soil erosion models. In the present study, the temporal variations in K_r and τ_c by overland flow were investigated using undisturbed topsoil samples collected from three cropped plots (ryegrass, lucerne, and corn) and a fallow plot. In this study, the potential factors leading to these changes were examined from March to September 2022 in western Sichuan Province, China. The results revealed significant seasonal variations in K_r, τ_c, soil bulk density (SD), soil cohesion (SC), and soil water-stable aggregate (WSA). The K_r values were significantly lower, whereas τ_c values were slightly higher for cropped plots when compared to that for the fallow plot. The mean K_r values for cropped plots were 4.51~17.26 times lower than that for the fallow plot. In contrast, the mean τ_c values for the cropped plots were 1.03~1.08 times higher than that for the fallow plots. The results also indicated a negative correlation of K_r with SD, SC, WSA, soil organic matter content (SOC), and root weight density (RWD), while a positive correlation of τ_c with SD, SC, WSA, and RWD. Furthermore, an exponential decrease in K_r was observed with an increase in SD, SC, WSA, SOC, and RWD. An increase in SD, SC, WSA, and RWD of the experimental plots led to a further increase in τ_c.

The concentration of Cu, Fe, Pb, Zn and As in the surface water intended for human consumption and other uses in the Mantaro River basin were analysed using multivariate methods. The water samples were collected from seven water bodies in the Junín region in June 2019, in the low discharge period. In each body of water, a sector with six sampling sites was established. The Cu, Fe, Pb, Zn and As contents were determined by the flame atomic absorption spectrophotometry method. The correlation analysis revealed positive and significant correlations (P < 0.05) for the Zn/Pb, Pb/Fe and Zn/Fe pairs with a good association, higher than 0.80 and for the Pb/Cu, Fe/Cu, As/Pb and As/Zn pairs a weak degree of association (P < 0.05). The analysis of the main components showed three components with their own values > 1. The hierarchical grouping analysis classified the evaluated water bodies into three groups according to the concentration of the Cu, Fe, Pb, Zn and As. The high concentrations of heavy metals and arsenic recorded in the CIMIRM and MERIS irrigation channels reveal that the Mantaro River continues to be a sink for mine wastewater discharges and runoff from mining liabilities at the headwaters of the Mantaro basin. It is, therefore, necessary to implement urgent management policies to control and reduce the levels of contamination by potentially toxic metals and metalloids in the Mantaro River.

This review focuses on the behaviour of four psychoactive compounds (carbamazepine, tramadol, sertraline and citalopram) in the environment. The review presents how they may directly affect freshwater systems, soils and living organisms and to which extent. The transformation of these very stable compounds in soils were controlled by oxidation, demethylation, decarboxylation and hydroxylation. Sorption to organic matter and clay particles controlled their mobility. Despite their expected sorption in soils, sediments and sludge, all compounds can be taken up by plants and by fish. In plants, all compounds and several of their metabolites were found in the leaves, indicating the mobility and transformation of the compounds within the plant systems. Factors that control the compounds mobility in plants were found to be the pH of soils and the xylem flow. As for fish, many of the compounds were found in the brain and muscles of fish, some of which, depending on the species, affected the behaviour of the fish. The implications of these compounds so widely present in the environment indicate the need for certain measures to be put into place to prevent these compounds from continuously entering plant and animal systems.

Plantain is the most important crop for the Peruvian Amazonian population, developed in recent alluvial soils rich in nutrients, but fragile and susceptible to degradation. Therefore, the impact of permanent cultivation was evaluated, through modelling, on indicators of recent alluvial soil quality and production in plantations of Musa paradisiaca L. var. Harton, in the Aguaytia River valley, Peru. The treatments were areas with permanent plantain plantations of 2 (T0), 15 (T1), 4 (T2), and 5 (T3) years of management, evaluating soil physicochemical indicators and plantain production indicators. The results show significant differences for all yield and soil indicators evaluated, except for bulk density (Bd), clay fraction, soil organic matter (OM) and N. The modelling determined a significant positive impact on Bd and a significant negative impact on pH, P, pseudostem diameter and height, commercial fingers and bunch weight. In conclusion, the modelling shows trends of quality and yield reduction in 15 years of permanent management of plantain Var. Harton, and compromises the sustainability of the agroecosystem in the medium term.

A precise measurement of evapotranspiration (ET) and soil water storage (SWS) is necessary for crop management and understanding hydrological processes in agricultural catchments. In this study, we extracted the vegetative indices (VIs, including normalised difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI), and enhanced vegetation index (EVI)) from satellite images of the Nučice catchment. We found a consistent seasonal pattern of VIs across the catchment with higher values and variation ranges during spring and summer and lower values and variation ranges during autumn and winter. Spatial variation of VIs also followed a seasonal trend, decreasing during crop growth and increasing after crop harvesting. Seasonal correlations were observed between monthly average ET and SWS with VIs throughout one crop season, which can be expressed mathematically as exponential functions. We propose that VIs can be used as a surrogate measure for ET and SWS in catchments with poor monitoring capabilities. Further studies are required to investigate the spatial distribution of ET and SWS throughout the watershed and their relationship with VIs. Furthermore, our research emphasises the importance of subsurface recharge in the water balance of the investigated fields. It suggests that subsurface flow may be influenced by potential gradients of the water table, driving its seasonal behaviour in response to bedrock morphology.

This study focuses on the effect of agricultural soil management on soil organic matter (SOM) composition. The addition of manure and crop residues was tested under different pedoclimatic conditions. The quality of SOM was assessed using diffuse reflectance infrared spectroscopy. The following parameters were calculated from the spectra:   sum of aliphatic bands (ΣAL), aromatic bands at wave numbers 1 620 and 1 520 cm^–1 (AR₁₆₂₀ and AR₁₅₂₀), potential wettability (PWI), organic matter quality (OMQ), and decomposability (DI) indexes. The addition of manure or crop residues may not cause fundamental changes in the qualitative composition of SOM. Rather, pedoclimatic conditions determine which components are fixed in the soil on a long-term scale. A dominant effect of soil type was found in the distribution of all spectral parameters studied using main effect ANOVA. The main differences between the soil types concern the aromatic, oxygen and nitrogen groups contained in the SOM. Chernozems are soils with higher OMQ and DI, whereas Cambisols are soils with low OMQ and DI and the highest PWI. The stabilisation of SOM in soils can thus be based on the biochemical persistence of organic molecules, their specific affinity for minerals and the formation of aggregates that protect enclosed SOM.

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.

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.

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.

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 study investigated how remote sensing techniques can pinpoint pollution in surface water areas. Researchers focused on the municipalities of Boumerdes, Corso, and Tidjalabine in Algeria’s Boumerdes province. The team used geographic information systems (GIS) to analyse pollution levels and their spatial distribution. Specifically, they employed the Normalised Difference Vegetation Index (NDVI) to identify areas teeming with biodiversity and healthy vegetation. Furthermore, the compactness index provided insights into the overall evolution of the drainage network. This data proved invaluable in identifying areas likely impacted by pollution. Our study is part of a scientific approach to detecting, monitoring, and intervening in water pollution. The core objective was to develop an alternate approach to protecting productive farmland and populated areas by mitigating pollution in these susceptible zones. The NDVI and compactness index, along with their associated database, hold significant promise for environmental preservation efforts. This spatial procedure effectively maps the spatial temporal distribution of pollutants, providing targeted management strategies. The method’s user-friendly nature makes it easily applicable in other African countries.

The 2021 Cyclone Seroja was a category 3 storm that made landfall on Lembata Island, causing extensive damage. This study aims to identify key interpretations of sediment transport related to tropical cyclones (TC) Seroja and past floods using a geopedological approach, estimate the return period through frequency analysis, and determine the rainfall threshold for flooding using HEC-RAS software. Extreme rainfall data from global precipitation model (GPM) (2000–2023) in Wei Laing watershed were analysed alongside LiDAR terrain data, physical and chemical properties of soil, and land cover data. Based on geopedological analysis, the result shows that the erosional-transfer zone of Wei Laing Watershed has thin, loamy, and slightly sandy soils due to erosion and limited pedogenesis. The depositional zone contains flood deposits with abrupt vertical texture changes, reflecting transported coarse grains and finer in-situ sediments. The modern flood deposit (TC Seroja flood deposit) was identified by texture, CaCO₃ content, organic matter, and coarse organic material. The fine-grained flood deposits (≤ 4 cm) are classified as slackwater deposits, consist of silty clay loam and silt loam textures, reflecting deposition under slow-flowing conditions. TC Seroja corresponds to a 50-year return period. Hydrological modelling indicates a 60 mm/day rainfall threshold for flooding, with 77 flood events recorded between 2000–2023. The model is confirmed by thick past flood deposits enriched with coarse organic materials. These findings provide insight into flood dynamics and sedimentary responses, supporting future flood risk mitigation efforts.

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.

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.

To evaluate the effects of organic fertilizer and microbial agents on soil water and salt distribution, microorganisms, and crop yield on coastal saline-alkaline land, eight treatments were established, i.e., two maize varieties (Dajing Jiu 26 (J) and Quchen Jiu (Q)) and four organic fertilizer and microbial agent application methods (no organic fertilizer or microbial agent application (O₀M₀), single organic fertilizer application (O₁M₀), single microbial agent application (O₀M₁), and combined organic fertilizer and microbial agent application (O₁M₁)). The soil water content in the 40–50 cm soil layer under JO₁M₁ was 3.35% greater than that under JO₀M₀ at the mature stage. The soil organic carbon (SOC) and soil total nitrogen (STN) in the 0–10 cm soil layer under JO₁M₁ were 16.69% and 21.37% greater, respectively, than those under JO₀M₀ at the jointing stage. The actinomycete content was 58.79% greater in QO₁M₁ than in QO₀M₀. The urease activity was greater in O₁M₀ than in the other management practices. Compared with that in JO₀M₀ and QO₀M₀, the alkaline phosphatase activity in JO₁M₁ and QO₁M₁ was 47.36% and 33.97% higher, respectively. Compared with those of JO₀M₀, the catalase activity and sucrase activity of JO₁M₁ were 57.62% and 22.78% higher, respectively. Compared with JO₀M₀ and QO₀M₀, JO₁M₁ and QO₁M₁ increased the grain yield by 20.69% and 16.42%, respectively, and increased the biomass by 23.36% and 26.45%, respectively. In summary, organic fertilizer and microbial agents provide a scientific model for the rational use of saline soils and the development of their potential.

The unsustainable conversion of forest areas into agricultural land poses a serious danger to the soil eminence of Arunachal Pradesh’s environmentally delicate hilly topography. Understanding the impacts of this land-use change is crucial for preventing further degradation. This study aimed to develop soil quality indices (SQIs) for different land use types: natural forest (NF), current jhum cultivation (JC), fallow jhum land (FJC), and pineapple cultivation (PA). Samples of soil were taken at a depth of 0 to 15 cm and examined for 22 potential soil quality indicators, with 19 showing significant (P < 0.05) influence from land use, constituting the total dataset (TDS). Principal component analysis (PCA) was employed on TDS to identify the minimum data set (MDS), comprising dehydrogenase activity, diethylenetriaminpentahacetic acid (DTPA)-extractable iron, and bulk density, contributing 73%, 19%, and 8% to the overall SQI, respectively. Subsequently, different SQIs were estimated using linear/nonlinear and additive/weighted scoring functions. The results revealed substantial alterations in SQIs among the land use types, through NF exhibiting the highest soil quality. Notably, the nonlinear SQIs exhibited greater sensitivity to land use conversion compared to their linear counterparts, indicating their potential as a more robust tool for assessing soil quality changes. This study concludes that the transformation of land use in the hilly regions of subtropics of Arunachal Pradesh has led to the deterioration of soil quality. The proposed indexing framework, leveraging the sensitivity and clarity of nonlinear SQIs, can effectively evaluate and compare soil quality across different land use scenarios, thereby informing sustainable land management strategies.

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.

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.

Although it is known that land cover affects soil water and thermal regimes, the influence of different land covers on soil water content and temperature in urban areas is rarely explored. Five soil surface treatments were selected in this study: bare soil, concrete paving, bark mulch, mown grass, and unmown grass. Soil water contents and temperatures were measured at five depths (5, 10, 25, 50, and 80 cm) over one year. The highest water contents were recorded under mulching. Under grass, water contents were lower and showed greater oscillations due to precipitation and evapotranspiration, while under mown grass, values were higher than under unmown grass. Similarly, near-surface bare soil water contents also fluctuated. The water content under the concrete remained almost constant. While the soil under concrete paving, bare surfaces and even mown grass warmed up considerably during the day because of the absorption of solar radiation and cooled down at night due to the emission of stored heat, the soil under bark mulch and unmown grass cover showed smaller temperature fluctuations, mainly due to the low thermal conductivity of the surface layer and surface shading. The effects revealed throughout the entire soil profiles decreased with depth.

To study the effects of straw return and aeration of the water layer on oxygen and redox status in the water column and at different depths in paddy field soil, a short-term incubation experiment was conducted with four treatments: (1) no straw return (NS); (2) straw return without aeration (S); (3) straw return and 30 minutes of aeration per day (SO30); and (4) straw return and 90 minutes of aeration per day (SO90). Compared to NS, S decreased dissolved oxygen (DO) and redox potential (ORP) by 23-58% and 47-53 mV, respectively, and increased active reducing substance (ARS) by 21-46% in the water and soil layers. The aeration treatments increased DO and ORP by 25-120% and 11-86 mV, respectively, and reduced ARS by 5-16% compared to S. The results indicated that straw return to paddy fields exacerbated hypoxia and reducing conditions in the soil. SO90 achieved better effects than SO30 in alleviating the negative impact of straw return by supplying more oxygen, but the effects weakened over time and with soil depth.

In this study, Shewanella oneidensis MR-1, an iron (Fe)-reducing bacterium, was inoculated to a red soil, which was then incubated. Soil samples were taken regularly to analyse the variation of iron oxides and phosphorus (P) fractions. The results showed that the MR-1 inoculation increased the content of the free iron oxides, but decreased the activity of the iron oxides in the soil, and had no significant influence on the amorphous iron oxides. The MR-1 inoculation increased the resin-P and residual-P, decreased the NaHCO₃-extracted inorganic P (NaHCO₃-P_i) and NaOH-extracted inorganic P (NaOH-P_i), but did not significantly influence the diluted HCl-extracted inorganic P (D.HCl-P_i) and concentrated HCl-extracted inorganic P (C.HCl-P_i). The presence of MR-1 influenced the correlation between the free iron oxides and NaOH-P_i. In the CK where deactivated MR-1 was applied, there was a significant positive correlation between the free iron oxides and the NaOH-P_i; in the treatment with the live MR-1 inoculation, there was no correlation between them. In addition, there was a significant positive correlation between the free iron oxides and the C.HCl-P_i, and there was a significant negative correlation between the NaHCO₃-P_i, resin-P, and residual-P. Therefore, the MR-1 inoculation improved the P availability by decreasing the activity of the iron oxides and consequently improved the P use efficiency in the red soil.