Soil Accumulation Research Articles

Regional variations in the chemical composition of fresh and composted beach wrack on the island of Gotland, Sweden – Considering future treatments

Harvesting beach wrack biomass (stranded seaweed) from coastal zones to use in agriculture could mitigate eutrophication while contributing to resource substitution of fossil-based inputs in food production. As such, beach wrack holds great resource potential in a bio-based circular economy, but its chemical properties prove challenging, and more research is required to develop treatment techniques that will allow the realization of such a system. We compiled results from chemical analyses of fresh beach wrack conducted 2012–2023 from a database within the marine policy scheme LOVA in Gotland, Sweden, to study spatial and seasonal variations in macronutrients and cadmium (Cd) content since cadmium is a highlighted risk metal for beach wrack use. This data was complemented by sampling composted beach wrack from compost sites (passive pile treatment), including analysis of ammonium and nitrate.There was considerable variation in the chemical composition of the beach wrack depending on location and season. Fresh beach wrack from the LOVA-sampling exhibited an average C content of 17.32 %, N content of 1.24 %, P content of 0.17 %, and K content of 1.3 %, which is in line with earlier studies. Composted material also showed significant differences between locations in C, N, C/N, ammonium-N, nitrate-N, P, K and Cd.The C/N and ammonium-N/nitrate-N ratios in composted beach wrack differed significantly between different composts, indicating differences in mineralization processes and maturity.Average cadmium levels were below the EU cd-limit for biofertilisers 1,5 mg/kg DW, cd-level in fresh beach wrack (LOVA − 1,24 mg/kg), and in composted beach wrack (1,09 mg/kg DW). However, single values exceed the EU limit, and long-term effects of cadmium soil accumulation could not be ruled out.The results confirm that regional variations in beach wrack quality require investments in treatment techniques and strategies to make beach wrack usable.

Microplastics in the agricultural soils: Pollution behavior and subsequent effects

AbstractMicroplastics (MPs), as a class of organic pollutants, pose numerous threats to soil. Their accumulation in agricultural soils has garnered significant attention due to the unknown impacts and risks they bring to agricultural production processes. This paper analyzes the source and distribution of MPs in farmland, systematically summarizes the accumulation, adsorption, migration, decomposition, and other pollution behaviors of MPs in farmland soil environment, in detail discusses the effects of microplastic (MP) pollution on soil physicochemical properties and soil microbial communities, outlines the main hazards they pose to agricultural crops, animals, and farmland soil enzyme activities, as well as the potential health risks of MPs to humans. The results indicate that MPs have been widely distributed in the agricultural soil environment through physics, chemistry, and carriers' activities, facilitating the transfer of substances between the environment and endangering the health of the ecological environment. MPs can also transfer along the food chain from low to high nutritional levels, posing a potential threat to human food safety. Finally, the future research direction and content of farmland MPs are put forward, providing relevant information and research ideas for understanding the MP pollution in farmland soil and future research directions.

Prediction of future microplastic accumulation in agricultural soils

This study shows the general exponential rise in microplastic accumulation in agricultural soils, with fertilizer application speeding up this increase, and future predictions of microplastic concentrations. Utilizing data from the Broadbalk winter wheat experiment at Rothamsted Research, UK, from 1846 to 2022, Poisson regression models were applied to microplastic counts under different soil treatments, including farmyard manure, inorganic fertilizers, and control conditions. A mass conversion factor was applied to obtain the w/w relationship. Results indicated a significant annual increase in microplastic concentrations across all treatments, with fertilized soils showing a notably higher accumulation rate. Our study forecasts that, in 50 and 100 years from now, soils treated with fertilizers are expected to reach microplastic concentrations of 168.9 mg kg−1 (95% CI: 60.32–473.09) and 1159 mg kg−1 (95% CI: 200.49–6699.8) respectively, levels converging on those used in many experiments. This highlights the urgent need for strategies to mitigate microplastic pollution in agricultural fields. The results also help to choose predicted concentrations in global change experiments, as well as to motivate further research to explore the mechanisms of microplastic accumulation and the integration of these insights into broader agricultural and ecological models to guide sustainable practices and environmental conservation.

Assessment of Global Antibiotic Exposure Risk for Crops: Incorporating Soil Adsorption via Machine Learning.

The overuse and misuse of antibiotics could significantly increase their accumulation in soils. Consequently, antibiotics possibly enter food chain through crop uptake, posing a threat to global food security. Assessing the exposure risks of antibiotics for crops is crucial for addressing this global issue. In this study, we assessed global antibiotic exposure risk for crops, incorporating a machine learning adsorption model based on 4893 data sets from nine antibiotics. The optimized machine learning adsorption model, using the eXtreme Gradient Boosting algorithm and the class-specific modeling strategy, demonstrated relatively good performance. Notably, we introduced unsaturated soil conditions and considered spatiotemporal variations in soil moisture and temperature for the first time in such a risk assessment. Global distributions of antibiotic exposure risk for crops were predicted for March, June, September, and December. The results indicate that soil moisture significantly influences the exposure risk assessment. Relatively high exposure risk for crops was observed during months with colder local temperatures: generally June for the Southern Hemisphere and December for the Northern Hemisphere. The resulting map highlights high-risk agricultural regions, including southern Canada, western Russia, and southern Australia.

Linking terrestrial biogeochemical processes and water ages to catchment water quality: A new Damköhler analysis based on coupled modeling of isotope tracers and nitrate dynamics

Catchment-scale nitrate dynamics involve complex coupling of hydrological transport and biogeochemical transformations, imposing challenges for source control of diffuse pollution. The Damköhler number (Da) offers a dimensionless dual-lens concept that integrates the timescales of exposure and processing, but quantifying both timescales in heterogeneous catchments remains methodologically challenging. Here, we propose a novel spatio-temporal framework for catchment-scale quantification of Da based on the ecohydrological modeling platform EcH2O-iso that coupled isotope-aided water age tracking and nitrate modeling. We examined Da variability of soil denitrification in the heterogeneous Selke catchment (456 km2, central Germany). Results showed that warm-season soil denitrification was of catchment-wide significance (Da >1), while its high spatial variations were co-determined by varying exposure times and removal efficiencies (e.g., channel-connected lowland areas are hotspots). Moreover, Da seasonally shifted from processing-dominance to transport-dominance during the wet-spring season (from >1 to <1), implying important linkages between summer terrestrial denitrification and subsequent winter river water quality. Under the prolonged 2018–2019 droughts, denitrification removal generally reduced, resulting in further accumulation in agricultural soils. Moreover, the space-time responses of Da variability indicated important implications for catchment water quality. The older water in lowland areas exhibited extra risks of groundwater contamination, whilst agricultural areas in the hydrologically responsive uplands became sensitive hotspots for export and river water pollution. Importantly, the lowland pixels intersecting river channels exhibited high removal efficiencies, as well as high resilience to the disturbances (wet-spring Da shifted to >1 under drought conditions). The proposed catchment-wide Da framework is implied by mechanistic modeling, which is transferable across various environmental conditions. This could shed light on understanding of catchment N processes, and thus providing site-specific implications of non-point source pollution controls.

The combined application of arbuscular mycorrhizal fungi and biochar improves the Cd tolerance of Cinnamomum camphora seedlings

Cadmium (Cd) toxicity is a universal environmental threat to plant growth. Either arbuscular mycorrhizal fungi (AMF) or biochar have been shown to effectively mitigate Cd toxicity in plants. Additionally, the camphor tree (Cinnamomum camphora) has been used for phytoremediation of Cd-contaminated soils. However, the potential interacting effects of these treatments and their underlying mechanisms remain unclear. Therefore, we conducted a mesocosm experiment to examine the effects of mycorrhizal inoculation (inoculation with sterilized AMF, with Rhizophagus intraradices and Diversispora versiformis, either alone or their mixture) and/or rice-husk biochar amendment on camphor trees grown in Cd-spiked soils (0, 15, 150 mg Cd per kg soil). We found that Cd addition significantly reduced plant biomass and increased Cd accumulation in plant tissues and soil. Single application of either AMF or biochar significantly inhibited Cd uptake by plants. Nevertheless, AMF inoculation alone improved plant biomass, net photosynthetic rate (Pn), phosphorus (P) uptake and glomalin-related soil protein (GRSP) production, as well as alleviated Cd accumulation in plant shoots to a greater extent than biochar amendment; biochar performed better than AMF in reducing soil Cd mobilization under the highest Cd contamination. These results suggest that AMF and biochar adopt different strategies to reduce Cd toxicity in plants. Moreover, the combination of AMF and biochar showed the highest mycorrhizal colonization, Pn and plant biomass, as well as the lowest Cd uptake by plants under the highest Cd contamination. Particularly, the mixed fungi of R. intraradices and D. versiformis combined with biochar produced the most profound effect on plant biomass under Cd contaminations. These results suggested that the combination of AMF inoculation and biochar amendment had synergistic effects, and their combination performed better than their single application under Cd-contaminated soil. Furthermore, these additive benefits were mainly attributed to the higher total GRSP and mycorrhizal viability. This work suggests that applying mixed fungi of R. intraradices and D. versiformis together with biochar amendment may be a potential method not only for camphor production but also for the phytoremediation of soil exposed to Cd contamination.

Straw removal reduces Cd availability and rice Cd accumulation in Cd-contaminated paddy soil: Cd fraction, soil microorganism structure and porewater DOC and Cd

The impacts of straw removal on rice Cd absorption, behaviour of Cd and microbial community in rhizosphere soil were investigated in paddy fields over two consecutive seasons. The results of the experiments in two fields revealed that straw removal promoted the transformation of soil Cd from acid-extractable and oxidisable fraction to residual fraction and reduced soil DTPA-Cd content with the reduction in DOC and Cd ions in soil porewater, thereby decreasing Cd content in rice. Specifically, the Cd content in brown rice was below 0.2 mg·kg−1 when all rice straw and roots were removed in the slightly Cd-contaminated soils. The α-diversity of soil microbial communities was less influenced by continuous straw removal, β-diversity was altered and the relative abundances of Anaeromyxobacter, Methylocystis and Mycobacterium microbes were increased. Redundancy analysis and network analysis exhibited that soil pH predominantly influenced the microbial community. Path analysis revealed that the Cd content in brown rice could be directly influenced by the soil Total-Cd and DTPA-Cd, as well as soil pH and OM. Straw removal, including roots removal, is an economical and effective technique to reduce Cd accumulation in rice plants.

Zinc oxide nanoparticles and nano-hydroxyapatite enhanced Cd immobilization, activated antioxidant activity, improved wheat growth, and minimized dietary health risks in soil-wheat system

Cadmium (Cd) accumulation in alkaline soils has posed a serious global food safety and health threat. In this work, the effects of zinc oxide nanoparticles (ZnO NPs) and nano-hydroxyapatite (n-HAP) on Cd uptake by wheat in Cd-contaminated soils were evaluated by potting experiments. Results revealed that wheat grain yield increased with the application of nanomaterials (NPs), particularly at higher concentrations. The addition of ZnO NPs or n-HAP reduced Cd concentrations in wheat grains, shoots, and roots by 8.40∼44.54 %, 34.50∼57.28 %, 9.32∼41.26 % and 6.72∼14.29 %, 18.18∼32.19 %, and 1.08∼11.02 % compared with those in controls, respectively, while simultaneously increasing leaf antioxidative activity of SOD, POD, and CAT and decreasing MDA content. Soil pH increased and exchangeable Cd was transformed into more stable organically-bound and residual-bound Cd, thereby reducing soil available Cd content (0.1 g/kg ZnO NPs:16.97 %; 2.0 g/kg n-HAP:14.98 %). As a result, Cd enrichment in wheat tissues was reduced significantly by 0.1 g/kg ZnO NPs or 2.0 g/kg n-HAP. The health risk was assessed, and the Target Hazard Quotient (THQ) value was <1 with 0.1 g/kg ZnO NPs, which was within the safe range (P<0.05). Principal component analysis (PCA) suggested that ZnO NPs were more effective than n-HAP in preventing Cd from entering plant roots. Furthermore, soil availability Cd was most affected by soil fractionation, whereas Cd concentrations in wheat tissues had the greatest effect on grain Cd accumulation. These results provide a key basis for the safe and sustainable application of nanoparticles and indicate that type and concentration should be fully considered when selecting nanomaterials to control Cd stress.

Heavy Metal Accumulation in Soil and Plants Using Municipal Solid Waste Compost in Variable pH Conditions

ABSTRACT Municipal solid waste composts (MSWC) are extensively utilized as organic soil conditioners and fertilizers in agricultural fields across many countries. However, the use of MSWC can lead to heavy metal pollution in soil and plants, which may adversely affect plant growth. This study examined the impact of MSWC on the heavy metal content in plants and soil across various pH levels. The experiment was conducted in a pot setting with three replications. The research findings indicated that MSWC application increased the levels of copper (Cu) and zinc (Zn) in soils but had no significant effect on lead (Pb), nickel (Ni), manganese (Mn), and iron (Fe) levels. Additionally, increases were observed in the Cu, Zn, and Fe content in plants, while Pb and Ni content remained unchanged. Cu, Zn, and Fe are essential for plant growth, and their enhancement in both soil and plants is a direct result of their relatively high presence in the MSWC used. The soil-plant transfer coefficients show that the transfer of heavy metals from soil to plants is highest under acidic conditions, indicating that the heavy metal content in MSWC can vary depending on soil pH and application rate. Therefore, it is crucial to carefully analyze and evaluate the heavy metal contents of soil and compost samples before employing MSWC in agricultural fields.

Coordinated responses of rice (Oryza sativa) to the stresses of benzotriazole ultraviolet stabilizers (BZT-UVs): Antioxidative system, photosynthetic activity, and metabolic regulation

Massive use of plastic products has caused their accumulation in soils, releasing large amounts of endogenous plastic additives (e.g., benzotriazole ultraviolet stabilizers, in short BZT-UVs) into terrestrial ecosystems. However, their plant toxicity is little known. Herein, we investigated the occurrence of BZT-UVs in contaminated farmland and selected three BZT-UV congeners to explore their toxic effects on the antioxidant, photosynthetic, and metabolic perturbation on rice (Oryza sativa). Results showed that the mean concentrations of ∑BZT-UVs in soil and plant samples were 180.7 ng/g dw and 156.4 ng/g dw, respectively. UV-P, UV-327 and UV-328 were the dominant BZT-UV congeners in both of soils and plants. Three BZT-UV congeners caused oxidative damages to rice in a dose-dependent manner, especially for UV-328. Functional genes involved in chlorophyll synthetases was inhibited by over 50 % under the stress of BZT-UVs, whereas those responsible for chlorophyll degradation were obviously promoted. The chlorophyll content was thus decreased, leading to a weakened photosynthesis system and an unbalanced carbon metabolism. The transcriptome and metabolome proved that the flux of carbohydrate metabolism and amino acid metabolism were obviously promoted in plants induced by BZT-UVs, which could inhibit the growth of rice. These findings offered insights into the coordinated responses of plants and advanced our understanding of potential ecological risks of BZT-UVs to terrestrial ecosystems.

Unraveling spatial heterogeneity of soil legacy phosphorus in subtropical grasslands.

Humans have profoundly altered phosphorus (P) cycling across scales. Agriculturally driven changes (e.g., excessive P-fertilization and manure addition), in particular, have resulted in pronounced P accumulations in soils, often known as "soil legacy P." These legacy P reserves serve as persistent and long-term nonpoint sources, inducing downstream eutrophication and ecosystem services degradation. While there is considerable scientific and policy interest in legacy P, its fine-scale spatial heterogeneity, underlying drivers, and scales of variance remain unclear. Here we present an extensive field sampling (150-m interval grid) and analysis of 1438 surface soils (0-15 cm) in 2020 for two typical subtropical grassland types managed for livestock production: Intensively managed (IM) and Semi-natural (SN) pastures. We ask the following questions: (1) What is the spatial variability, and are there hotspots of soil legacy P? (2) Does soil legacy P vary primarily within pastures, among pastures, or between pasture types? (3) How does soil legacy P relate to pasture management intensity, soil and geographic characteristics? and (4) What is the relationship between soil legacy P and aboveground plant tissue P concentration? Our results showed that three measurements of soil legacy P (total P, Mehlich-1, and Mehlich-3 extractable P representing labile P pools) varied substantially across the landscape. Spatial autoregressive models revealed that soil organic matter, pH, available Fe and Al, elevation, and pasture management intensity were crucial predictors for spatial patterns of soil P, although models were more reliable for predicting total P (68.9%) than labile P. Our analysis further demonstrated that total variance in soil legacy P was greater in IM than SN pastures, and intensified pasture management rescaled spatial patterns of soil legacy P. In particular, after controlling for sample size, soil P was extremely variable at small scales, with variance diminished as spatial scale increased. Our results suggest that broad pasture- or farm-level best management practices may be limited and less efficient, especially for more IM pastures. Rather, management to curtail soil legacy P and mitigate P loading and losses should be implemented at fine scales designed to target spatially distinct P hotspots across the landscape.

Long-term straw return promotes accumulation of stable soil dissolved organic matter by driving molecular-level activity and diversity

Agricultural management practices play pivotal roles in affecting soil organic matter formation pathways, particularly through changes in soil dissolved organic matter (DOM). The potential effects of long-term straw return on the molecular-level activity and transformations of DOM were investigated in this study. Over 9 years, the soil DOM from straw return had high stability, unsaturation degree, oxidability, and strong aromaticity. The relative abundance of biologically refractory DOM components (i.e., lignin-, condensed aromatic-, and tannin-like formulas) increased by 4 %-33 %, whereas the relative abundance of biodegradable DOM components (i.e., lipids and protein/amino sugar-like formulas) decreased by 15 %-23 % under straw return. Furthermore, the positive effects of straw return on the intergroup transformations of biologically refractory compounds favored the persistence of recalcitrant organic matter in the soil. Importantly, intragroup transformations of recalcitrant-active molecules and biologically refractory compounds were critical pathways for stable DOM accumulation under straw return, and these were mainly driven by thermodynamically limited processes. Thus, our results indicated that long-term straw return promoted the persistence of stabilized soil DOM by driving molecular-level activity and diversity.

Effects of dissolved organic matter on distribution characteristics of heavy metals and their interactions with microorganisms in soil under long-term exogenous effects

Long-term waste accumulation (LTWA) in soil not only alters its physical and chemical properties but also affects heavy metals and microorganisms in polluted soil through the dissolved organic matter (DOM) it produces. However, research on the impact of DOM from LTWA on heavy metals and microorganisms in polluted soil is limited, which has resulted in an incomplete understanding of the mechanisms involved in LTWA soils remediation. This study focuses on the DOM generated by waste accumulation and analyses the physicochemical properties, microbial community structure, and vertical distribution of heavy metals in four types of LTWA soils at different depths (0–100 cm). A causal analysis is conducted using structural equation modelling. The results indicate that due to the retention effect of the soil and microorganisms, heavy metal pollution is concentrated on the soil surface layer (>30 cm). With increasing depth, there is a decrease in heavy metal concentration and an increase in microbial diversity and abundance. DOM plays a significant role in regulating the concentration of soil heavy metals and the diversity and abundance of microorganisms. The DOM from different soils gradually transforms into substances dominated by tyrosine, tryptophan, and fulvic acid, which sustain the normal life activities and gene expression of microorganisms. Bacteria such as Pseudarthrobacter, Desulfurivibrio, Thiobacillus, and Sulfurimonas, which are involved in energy transformation, along with genes such as water channel protein and YDIF, which enhance heavy metal metabolism, ensure that microbial communities can maintain basic life processes in polluted environments and gradually select for dominant species that are adapted to heavy metal pollution. These novel discoveries illuminate the potential for modulating the composition of DOM to amplify microbial activity, while concurrently offering insights into the migration patterns of various long-term exogenous pollutants. This foundational knowledge provides a foundation for the development of efficacious remediation strategies.

Shallow groundwater table fluctuations promote the accumulation and loss of phosphorus from surface soil to deeper soil in croplands around plateau lakes in Southwest China

The continuous excessive application of phosphorus (P) fertilizers in intensive agricultural production leads to a large accumulation of P in surface soils, increasing the risk of soil P loss by runoff and leaching. However, there are few studies on the accumulation and loss of P from surface soil to deep soil profiles driven by shallow groundwater table (SGT) fluctuations. This study used the intensive cropland around 7 plateau lakes in Yunnan Province as an example and conducted in situ monitoring of P storage in the soil profile and SGT during the rainy season (RS) and dry season (DS) as well as simulation experiments on soil P loss. The aim was to study the spatiotemporal variation in P accumulation in the soil profile of cropland driven by SGT fluctuations in the RS and DS and estimate the P loss in the soil profile driven by SGT fluctuations. The results showed that fluctuations in the SGT promoted P accumulation from the surface soil to deeper soil. The proportions of P stored in various forms in the 30–60 cm and 60–100 cm soil layers in the RS were greater than those in the DS, while the average proportion in the 0–30 cm soil layer in the DS was as high as 48%. Compared with those in the DS, the maximum decreases in the proportion of P stored as TP and Olsen-P in the 0–100 cm soil layer in the RS were 16% and 58%, respectively, due to the rise in the SGT (SGT <30 cm), while the soil TP storage decreased by only 1% when the SGT was maintained at 60–100 cm. The critical thresholds for soil Olsen-P and TP gradually decreased with increasing soil depth, and the risk of P loss in deeper soil increased. The loss of soil P was increased by fluctuations in the SGT. Based on the cropland area around the 7 plateau lakes, P storage, and SGT fluctuations, the average loss intensity and loss amount of TP in the 0–100 cm soil layer around the 7 plateau lakes were estimated to be 25 kg/ha and 56 t, respectively. Therefore, reducing exogenous P inputs, improving soil endogenous P utilization efficiency and maintaining deep soil P retention are the basic strategies for preventing and controlling P accumulation and loss in deep soil caused by SGT fluctuations.

Machine learning-driven source identification and ecological risk prediction of heavy metal pollution in cultivated soils

To overcome challenges in assessing the impact of environmental factors on heavy metal accumulation in soil due to limited comprehensive data, our study in Yangxin County, Hubei Province, China, analyzed 577 soil samples in combination with extensive big data. We used machine learning techniques, the potential ecological risk index, and the bivariate local Moran’s index (BLMI) to predict Cr, Pb, Cd, As, and Hg concentrations in cultivated soil to assess ecological risks and identify pollution sources. The random forest model was selected for its superior performance among various machine learning models, and results indicated that heavy metal accumulation was substantially influenced by environmental factors such as climate, elevation, industrial activities, soil properties, railways, and population. Our ecological risk assessment highlighted areas of concern, where Cd and Hg were identified as the primary threats. BLMI was used to analyze spatial clustering and autocorrelation patterns between ecological risk and environmental factors, pinpointing areas that require targeted interventions. Additionally, redundancy analysis revealed the dynamics of heavy metal transfer to crops. This detailed approach mapped the spatial distribution of heavy metals, highlighted the ecological risks, identified their sources, and provided essential data for effective land management and pollution mitigation.

Cadmium accumulation in farmlands through irrigation: evidence from multimedia fate modeling and scenario simulations

The studies of heavy metal input and output fluxes from farmland soils will contribute to sustainable agricultural practices. However, debate on the primary pollution to crops has not resulted in the emergence of practical remediation strategies. Hence, the flux should be identified with precision for targeted pollution control. In this study, a catchment downstream of a metal mining area was selected for investigation of Cadmium pollution in the topsoil of farmlands, including the input and output fluxes in different environmental media. The results showed that irrigation was the main input source of Cd to soil, accounting for more than 75%, in which the contribution of dissolved Cd in water was 1–2 orders of magnitude higher than that of Cd adsorbed on suspended particles. Crop harvesting, surface runoff, and leaching were the main Cd output pathways from this area. The dynamic prediction results under different scenarios showed that Cd in farmland soil would be in a cumulative state in the following years by 2050. Straw removing could significantly reduce Cd accumulation in farmland soil. In addition, the substantial increase of crop yield in the future would increase the Cd output flux. This work revealed the accumulation pattern of Cd in farmland soils, and will aid in the development of remediation strategies for cadmium contamination of agricultural soils.

The Role of Climate, Mineralogy and Stable Aggregates for Soil Organic Carbon Dynamics Along a Geoclimatic Gradient

AbstractOrganic matter accumulation in soil is understood as the result of the dynamics between mineral‐associated (more decomposed, microbial derived) organic matter and free particulate (less decomposed, plant derived) organic matter. However, from regional to global scales, patterns and drivers behind main soil organic carbon (SOC) fractions are not well understood and remain poorly linked to the pedogenetic variation across soil types. Here, we separated SOC associated with silt‐ and clay‐sized particles (S + C), stable aggregates (&gt;63 μm, SA) and particulate organic matter (POM) from a diverse range of grassland topsoils sampled along a geoclimatic gradient. The relative contribution of the two mineral‐associated fractions (S + C &amp; SA) to SOC differed significantly across the gradient, while POM was never the dominant SOC fraction. Stable aggregates (&gt;63 μm) emerged as the major SOC fraction in carbon‐rich soils. The degree of decomposition of carbon in stable aggregates (&gt;63 μm) was consistently between that of the S + C and POM fractions and did not change along the investigated gradient. In contrast, carbon associated with the S + C fraction was less microbially decomposed in carbon‐rich soils than in carbon‐poor soils. The amount of SOC in the S + C fraction was positively correlated to pedogenic oxide contents and texture, whereas the amount of SOC associated with stable aggregates (&gt;63 μm) was positively correlated to pedogenic oxide contents and negatively to temperature. We present a conceptual summary of our findings, which integrates the role of stable aggregates (&gt;63 μm) with other major SOC fractions and illustrates their changing importance across (soil‐)environmental gradients.

Effects of Seasonal Freezing and Thawing on Soil Moisture and Salinity in the Farmland Shelterbelt System in the Hetao Irrigation District

Water resources are scarce, and secondary soil salinization is severe in the Hetao Irrigation District. Farmland shelterbelt systems (FSS) play a critical role in regulating soil water and salt dynamics within the irrigation district. However, the understanding of soil water and salt migration within FSS during the freeze–thaw period remains unclear due to the complex and multifaceted interactions between water and salt. This study focused on a typical FSS and conducted comprehensive monitoring of soil moisture, salinity, temperature, and meteorological parameters during the freeze–thaw period. The results revealed consistent trends in air temperature and soil temperature overall. Soil freezing durations exceeded thawing durations, and both decreased with an increasing soil depth. At the three critical freeze–thaw nodes, the soil moisture content at a 0–20 cm depth was significantly lower than at a 40–100 cm depth (p &lt; 0.05). The soil water content increased with time and depth at varying distances from the shelterbelt, with an average increase of 7.63% after freezing and thawing. The surface water content at the forest edge (0.3H, 4H) was lower than inside the farmland (1H, 2H, 3H). Soil salt accumulation occurred during both freezing stable periods and melting–thawing periods in the 0–100 cm soil layer near the forest edge (0.3H, 4H), with the highest soil salinity reaching 0.62 g·kg−1. After the freeze–thaw period, the soil salt content in each layer increased by 11.41–47.26% compared to before the freeze–thaw period. Salt accumulation in farmland soil near the shelterbelt was stronger than in the far shelterbelt. The multivariate statistical model demonstrated goodness of fit for soil water and salt as 0.94 and 0.72, respectively, while the BP neural network model showed goodness of fit for soil water and salt as 0.82 and 0.85, respectively. Our results provide an efficient theoretical basis for FSS construction and agricultural water management practices.

The Influence of Slope Exposure, Profile Depth and Erosion Processes on Changes in the Content of Potassium, Phosphorus and Humus in Brown Soils of Mountain Pastures of Uzbekistan

Humus, potassium, and phosphorus are key components of soil that play crucial roles in ecosystem productivity, plant growth, and development. They control a wide range of processes, including greenhouse gas fluxes, nutrient cycling, infiltration, and water retention. This article presents the results of evaluating humus, potassium (K), and phosphorus (P) content in the profile of brown soils in mountain pastures of Uzbekistan, as well as their distribution within these soils. The brown soils studied in the mountain pastures of Uzbekistan have a loamy granulometric composition, with the clay fraction not exceeding 20%. The carbonate content is low (2.5-9%), with the maximum amount found in the carbonate horizon. The soils exhibit weak leaching. The total humus content in the upper horizon varies from 1 to 6.6%. It was observed that the soils on the more moistened northern and western slopes contain more humus than those on the southern and eastern slopes, indicating a dependence of high humus content on slope exposition. For the first time, the article allocates phosphorus and potassium of near, labile, and potential reserves (as a percentage of the total content) to estimate the change in the nature of brown soils under economic use. It was found that the potential reserve of phosphorus and potassium (35.5-90%) prevails in soils. Further study of the features of humus, potassium, and phosphorus, their accumulation, and restoration in brown soils is essential for developing recommendations for the rational use, anti-erosion protection, and increased productivity of mountain pastures in Uzbekistan.

Mineral accumulation, relative water content and gas exchange are the main physiological regulating mechanisms to cope with salt stress in barley

Salinity has become a major environmental concern for agricultural lands, leading to decreased crop yields. Hence, plant biology experts aim to genetically improve barley’s adaptation to salinity stress by deeply studying the effects of salt stress and the responses of barley to this stress. In this context, our study aims to explore the variation in physiological and biochemical responses of five Tunisian spring barley genotypes to salt stress during the heading phase. Two salinity treatments were induced by using 100 mM NaCl (T1) and 250 mM NaCl (T2) in the irrigation water. Significant phenotypic variations were detected among the genotypes in response to salt stress. Plants exposed to 250 mM of NaCl showed an important decline in all studied physiological parameters namely, gas exchange, ions concentration and relative water content RWC. The observed decreases in concentrations ranged from, approximately, 6.64% to 40.76% for K+, 5.91% to 43.67% for Na+, 14.12% to 52.38% for Ca2+, and 15.22% to 38.48% for Mg2+ across the different genotypes and salt stress levels. However, under salinity conditions, proline and soluble sugars increased for all genotypes with an average increase of 1.6 times in proline concentrations and 1.4 times in soluble sugars concentration. Furthermore, MDA levels rose also for all genotypes, with the biggest rise in Lemsi genotype (114.27% of increase compared to control). Ardhaoui and Rihane showed higher photosynthetic activity compared to the other genotypes across all treatments. The stepwise regression approach identified potassium content, K+/Na+ ratio, relative water content, stomatal conductance and SPAD measurement as predominant traits for thousand kernel weight (R2 = 84.06), suggesting their significant role in alleviating salt stress in barley. Overall, at heading stage, salt accumulation in irrigated soils with saline water significantly influences the growth of barley by influencing gas exchange parameters, mineral composition and water content, in a genotype-dependent manner. These results will serve on elucidating the genetic mechanisms underlying these variations to facilitate targeted improvements in barley's tolerance to salt stress.