Geoderma最新文献

{"title":"Floodplain forests outperform croplands as methane sinks while exhibiting greater microbial methane-production potential","authors":"Marie-Ange Moisan,&nbsp;Vincent Maire,&nbsp;Julien Tremblay,&nbsp;François Guillemette,&nbsp;Alexandre Roy,&nbsp;Marie-Josée Morency,&nbsp;Jacynthe Masse,&nbsp;Christine Martineau","doi":"10.1016/j.geoderma.2026.118071","DOIUrl":"10.1016/j.geoderma.2026.118071","url":null,"abstract":"<div><div>Floodplains represent major sources of methane, a greenhouse gas with significant warming potential, as high soil humidity favors microbial methane production (methanogenesis) over consumption (methanotrophy). Land use also influences methane dynamics by modulating soil properties that regulate methanogenesis and methanotrophy, with forest soils generally showing the greatest methanotrophic potential. However, how land use shapes microbial functions regulating soil methane fluxes remains largely uncharacterized in floodplains. This study aims to better understand the role of forests relative to grasslands and croplands in floodplain methane budgets by assessing soil methane fluxes and microbial functional potential and activity. We used metagenomics and metatranscriptomics to investigate carbon- and methane-cycling gene abundance and expression across land uses, and how these were linked to variations in soil methane fluxes in the Lake St-Pierre floodplain (Quebec). We demonstrated that forests were long-term methane sinks, exhibiting significantly higher uptake rates than croplands, underscoring the importance to protect forests in floodplain ecosystems. Despite greater methane uptake over years, forest soils exhibited a higher potential for anaerobic metabolisms and could switch to net sources at specific times and sites under high water table conditions. The expression of genes regulating acetate conversion, CO₂ reduction, and H₂ oxidation explained flux variations, indicating that substrate conversion and electron generation are key steps driving methane production and spatiotemporal variation in soil methane fluxes in floodplains. Overall, our study demonstrates how methane cycling varies between floodplain forests and croplands across temporal scales in response to environmental controls, clarifying their respective roles in climate regulation.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"474 ","pages":"Article 118071"},"PeriodicalIF":7.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149085377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soil science-informed data-driven modeling of effective saturated hydraulic conductivity","authors":"Farnaz Sharghi S.,&nbsp;Sara L. Bauke,&nbsp;Mehdi Rahmati,&nbsp;Wulf Amelung","doi":"10.1016/j.geoderma.2026.118083","DOIUrl":"10.1016/j.geoderma.2026.118083","url":null,"abstract":"<div><div>The translation of readily available soil data into soil hydraulic conductivity parameters, which describe water infiltration at the soil surface, is often limited by complex, non-linear interactions associated with soil structure that are rarely captured by classical predictor sets. We hypothesize that soil taxonomic information, particularly World Reference Base (WRB) soil groups, encodes meaningful pedogenic and structural information that can help bridge this gap. We test this hypothesis using eleven Soil Science-Informed Machine Learning (SoilML) models trained on Europe-wide in-situ observations from the Soil Water Infiltration Global (SWIG) database. Models were developed to predict infiltration-based effective saturated hydraulic conductivity (<em>K_s</em>) using combinations of WRB soil groups, land-use type, and classical soil properties (clay, sand, silt, organic carbon, and bulk density), with additional hydrological state variables included in selected scenarios. Our results showed that ’tree-based’ models, specifically CatBoost, outperform linear regression and kernel-based neural approaches. Importantly, incorporating WRB soil groups and land-use information consistently improves predictive performance, increasing explained variance by up to 20% compared to texture-only models. We demonstrate that WRB soil classification provides useful additional information that reflects pedogenic development and site-specific structural effects not represented by soil texture alone. This highlights the potential of integrating soil taxonomic and land-use information into data-driven pedotransfer approaches for more robust upscaling of continental-scale soil hydraulic properties. However, through the use of spatial cross validation, it is found that although SoilML models perform well in regional interpolation, they fail miserably in terms of generalization across unknown geography.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"474 ","pages":"Article 118083"},"PeriodicalIF":7.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149150545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preferential spatial distribution of organic matter across mineral phases within soil microstructures","authors":"Yahan Hu,&nbsp;Itamar A. Shabtai,&nbsp;Carmen Höschen,&nbsp;Werner Häusler,&nbsp;Stephan Kaufhold,&nbsp;Martin Pentrak,&nbsp;Steffen A. Schweizer","doi":"10.1016/j.geoderma.2026.118006","DOIUrl":"10.1016/j.geoderma.2026.118006","url":null,"abstract":"<div><div>Soils are complex biogeochemical systems in which organic matter (OM) and mineral surfaces are heterogeneously distributed. While interactions of OM with reactive mineral surfaces are broadly recognized to shape the fate of soil organic carbon, the mechanisms governing the preferential spatial distribution of OM across mineral phases within intact microstructures remain unknown. Here, we mapped soil microstructures incubated with ¹⁵N-enriched litter using nanoscale secondary ion mass spectrometry (NanoSIMS) at a resolution of 120 nm. To identify different mineral phases within mineral-dominated regions, we developed an unsupervised machine-learning segmentation which enabled us to cluster the sample surfaces with mineral references based on elemental signatures. The spatial preferential arrangement of mineral phases with pre-existing (¹⁴N-enriched) and newly formed (¹⁵N-enriched) OM was quantified by dilation and nearest neighbor edge-to-edge distance analyses. We found that comparable mineral phases and some of their weathering products neighbored one another. Pre-existing OM was pre-dominantly spatially adjacent to calcium carbonate within the pores while newly formed OM was spatially adjacent to pre-existing OM within pores. This highlights that pores channel the distribution of OM through soil microstructure with pre-existing OM regions providing preferential binding spots while distinct mineral phases did not appear to strongly influence the arrangement due to their constrained accessibility. This indicates that the coupled effects of soil pore architecture and the heterogeneous distribution of mineral phases shape OM stabilization, rather than being primarily driven by the allocation of the most reactive mineral phases.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"473 ","pages":"Article 118006"},"PeriodicalIF":7.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148894614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rainfall redistribution by agrivoltaic arrays drives soil erosion on karst hillslopes: mitigation through runoff harvesting","authors":"Ruyi Zi,&nbsp;Lang Peng,&nbsp;Zijing Yang,&nbsp;Tingsheng Chen,&nbsp;Bin Yang,&nbsp;Fayong Fang,&nbsp;Zixuan Zhang,&nbsp;Quanzhong Sun,&nbsp;Tianxu Mao,&nbsp;Zhen Han,&nbsp;Longshan Zhao","doi":"10.1016/j.geoderma.2026.118018","DOIUrl":"10.1016/j.geoderma.2026.118018","url":null,"abstract":"<div><div>The rapid expansion of agrivoltaic systems in karst regions has raised concerns regarding their impacts on soil hydrological processes and erosion dynamics in fragile landscapes. While these systems improve land-use efficiency, their structural configuration alters rainfall redistribution, potentially exacerbating soil erosion on karst hillslopes. However, quantitative understanding of these effects and their implications for soil and water conservation remains limited. This study quantified rainfall redistribution, soil erosion responses, and runoff harvesting potential under agrivoltaic systems in a karst mountainous area. Two field plots (30 m × 3 m) were established beneath photovoltaic (PV) arrays, including one plot equipped with a runoff collection system installed along panel drip lines. A one-year field monitoring experiment under natural rainfall conditions was conducted to assess rainfall redistribution patterns, soil loss, and runoff collection efficiency. Results showed that photovoltaic arrays significantly altered rainfall distribution patterns, with effects strongly dependent on rainfall intensity. During light to moderate rainfall events, 46.79%–66.46% of the total precipitation input during each event was concentrated along panel drip lines. During heavy rainfall to rainstorm events, 49.39%–63.21% of the event precipitation was redistributed to inter-panel areas, whereas less than 10% of the total event precipitation reached beneath panels. This spatial redistribution resulted in significantly higher soil erosion rates at panel edges and inter-panel zones compared to beneath panels (<em>P</em> &lt; 0.05). Annual soil loss exceeded 5000 t km⁻² yr⁻¹, and bedrock exposure increased from 9.92% to 18.68%, indicating enhanced erosion risk. The runoff collection system effectively intercepted concentrated flow, capturing 69.0%–72.9% of rainfall and reducing localized erosion. These results demonstrate that agrivoltaic-induced rainfall redistribution is a critical driver of soil erosion in karst environments, while targeted runoff harvesting can partially offset these effects. Overall, this study provides field-based evidence of the coupled impacts of agrivoltaic systems on rainfall redistribution and soil erosion, and highlights the importance of integrating hydrological regulation measures to sustain soil resources in karst agroecosystems.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"473 ","pages":"Article 118018"},"PeriodicalIF":7.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148884393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The soil carbon saturation controls phosphate sorption and mobility in organically amended Ferralsols","authors":"Hannah Van Ryckel,&nbsp;Lowie Lenaerts,&nbsp;Toon van Dael,&nbsp;Erik Smolders","doi":"10.1016/j.geoderma.2026.118019","DOIUrl":"10.1016/j.geoderma.2026.118019","url":null,"abstract":"<div><div>Phosphorus (P) fertilizer efficiency in highly weathered soils is constrained by phosphate sorption on iron (Fe) and aluminum (Al) oxides. Integrated soil fertility management promotes the combined use of P fertilizers and organic amendments (OAs), but the mechanisms underlying OA-P interactions remain unclear. This study evaluated how OA dose, OA quality, and time affect P mobility, assessed through phosphate sorption and diffusion from a fertilizer granule. Three Ferralsols were incubated with compost, farmyard manure (FYM), or straw at four doses (0–4 % w/w) in a full factorial design. Phosphate sorption strength (K_D) was quantified after 1 and 49 days of incubation and related to the soil’s degree of carbon saturation (DCS), an operational metric that is proportional to the molar ratio of organic C to the reactive Fe and Al oxides. Across all soils and treatments, K_D decreased with increasing DCS (R² = 0.66) at 49 days after amendment, consistent with increasing competition of organic anions with phosphate for sorption sites. In contrast, the short-term (1-day) effects of amendments on K_D were primarily related to soil pH. A diffusion experiment using Ferralsol samples from a field trial with three years of FYM application showed wider diffusion zones around fertilizer granules in FYM-amended than in control soils. Together, these findings suggest that OA-induced improvements in P fertilizer use efficiency observed in field trials are related to competition effects and that the effects of OA dose and quality can be predicted with a mechanistic model.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"473 ","pages":"Article 118019"},"PeriodicalIF":7.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148884325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized sequential extraction for Organic-Bound manganese in Soils: Enhancing the characterization of Mn(III) species","authors":"Xingxing Wang,&nbsp;Xiaohan Lu,&nbsp;Yiming Peng,&nbsp;Ming Zhou,&nbsp;Qiuyao Liu,&nbsp;Ke Wen,&nbsp;Xiangmei Zhai,&nbsp;Zhuojun Zhang,&nbsp;Mengqiang Zhu,&nbsp;Zezhen Pan,&nbsp;Chengshuai Liu,&nbsp;Zimeng Wang","doi":"10.1016/j.geoderma.2026.118025","DOIUrl":"10.1016/j.geoderma.2026.118025","url":null,"abstract":"<div><div>Redox cycling among multiple valence states of manganese in soils exerts a fundamental control over the biogeochemical cycling of virtually all elements. The redox reactive intermediate Mn(III) species complexed by organic matter has increasingly emerged as a dominant factor in these processes, and there is a need for a simple and reliable analytical method for the determination of the reactive Mn(III) species. However, the specificity of existing chemical extraction approaches remains uncertain, particularly with respect to whether the extraction process substantially dissolves other Mn(III)-bearing oxide phases and thereby biases the quantification of organically complexed Mn(III). To address this limitation, this study proposes an improved sequential extraction protocol refined for discerning manganese (Mn) fractions in soils, particularly incorporating an alkaline pyrophosphate (PP) extraction step for organic-bound reactive Mn(III) species. The method was validated using a set of Mn mineral standards and then applied to three groups of soil samples that span low, intermediate, and high Mn(III) contents based on linear combination fitting (LCF) analysis of X-ray absorption near edge structure (XANES) spectroscopy, including one group characterized by a high proportion of organically bound Mn(III). Alkaline PP extraction at pH 10.5 for 12 h caused negligible dissolution of common Mn(III)-bearing minerals in soils. Furthermore, correlation analysis between sequentially extracted Mn fractions and XANES-LCF fitting results revealed a positive relationship between PP-extractable Mn and organically bound Mn(III), suggesting that PP extraction may provide an effective approach for selectively targeting organically bound Mn(III). In addition, acidification prior to inductively coupled plasma mass spectrometry (ICP-MS) analysis may cause precipitation of organically complexed Mn in PP extracts. Validation experiments involving digestion and reduction treatments indicated that immediate analysis after acidification is essential, and that digestion is required when precipitates are present. The sequential extraction method developed in this study can supplement and refine the interpretation of spectroscopic analyses, offering a comprehensive and straightforward view of soil Mn speciation, especially for organically bound Mn(III) species.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"473 ","pages":"Article 118025"},"PeriodicalIF":7.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148894618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ligninolytic capabilities of indigenous Paraburkholderia sp. isolated from Reynoutria japonica rhizosphere: a potential mechanism enhancing plant invasiveness","authors":"Maja Zugan,&nbsp;Helena Plešnik,&nbsp;Lidija Strojnik,&nbsp;Nives Ogrinc,&nbsp;Tina Kosjek,&nbsp;Aleš Lapanje,&nbsp;Tomaž Rijavec","doi":"10.1016/j.geoderma.2026.118009","DOIUrl":"10.1016/j.geoderma.2026.118009","url":null,"abstract":"<div><div>Invasive alien plant species (IAPS) Japanese knotweed (<em>Reynoutria japonica</em>), native to East Asia, has spread to Europe, North America and other regions posing a threat to the indigenous species and ecosystems. Its invasion can be, among the aggressive growth, resilience and lack of predators, attributed to the phenolic compounds released by the plant or produced by the rhizosphere microbiome from lignin. We, therefore, isolated five lignin degrading <em>Paraburkholderia</em> spp. strains from the R. japonica rhizosphere and identified lignin degradation from three sources: (1) alkali lignin, (2) lignin from <em>R. japonica</em> plant biomass and (3) lignin from <em>R. japonica</em> black liquor. Furthermore, the degradation of lignin in <em>R. japonica</em> plant biomass was significantly more effective compared to alkali lignin. The accumulation of compounds such as hydroxycinnamic acid, nonanoic acid, and octanoic acid after degradation suggests that bacteria can partially break down lignin into intermediates, which may contribute to <em>R. japonica</em> invasiveness. Genome annotation analysis of the L4 strain further confirmed the ability of <em>Paraburkholderia</em> spp. to produce phenolic and other compounds involved IAPS promotion. Beta-ketoadipate and phenylpropanoid metabolic pathway were found to be predominant, with the lack of common lignin degrading enzymes (laccase, lignin- and manganese peroxidase).</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"473 ","pages":"Article 118009"},"PeriodicalIF":7.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148884327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Explicit depth representation improves the 3D modelling of soil carbon to nitrogen ratio in croplands","authors":"Hancheng Guo,&nbsp;Yushu Xia,&nbsp;Zhongxing Chen,&nbsp;Zheng Wang,&nbsp;Yuanyuan Yang,&nbsp;Songchao Chen,&nbsp;Zhou Shi","doi":"10.1016/j.geoderma.2026.118011","DOIUrl":"10.1016/j.geoderma.2026.118011","url":null,"abstract":"<div><div>The soil carbon-to-nitrogen ratio (C:N ratio) is a fundamental indicator of organic matter quality and nutrient cycling, yet its three-dimensional (3D) variability in croplands remains poorly understood. Accurate mapping of the C:N ratio is essential for evaluating sustainable agricultural practices, as it reflects the balance between soil organic carbon (SOC) and total nitrogen (TN) stabilization. Using the Hangjiahu Plain in the Yangtze River Basin of China, as a case study, we evaluated the predictive performance of 2.5D frameworks (which model discrete depth layers independently) and 3D digital soil mapping frameworks (which integrate soil depth as an explicit, continuous covariate) for soil C:N ratio to a depth of 1 m. A key methodological focus was comparing the direct prediction of the C:N ratio against indirect calculation from separate SOC and TN models. The results demonstrate that C:N ratio declined with soil depth, decreasing from 16.63 ± 2.12 in the 0–20 cm to 14.58 ± 3.87 in the 60–100 cm. Models based on a 3D assumption where depth is treated as an explicit spatial dimension consistently outperformed 2.5D models in estimating C:N ratio, achieving an R² of 0.56 and an RMSE of 2.25. Crucially, direct prediction of the C:N ratio showed higher predictive stability, particularly in deeper layers, by avoiding uncertainty propagation associated with separately predicted SOC and TN. These findings suggest that vertically informed DSM frameworks are vital for the reliable mapping of soil C:N ratio in high-resolution, profile-resolved agricultural assessments.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"473 ","pages":"Article 118011"},"PeriodicalIF":7.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148884433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating Fourier-derived temporal features from multi-year vegetation and soil moisture time series enhances soil organic matter mapping","authors":"Chenconghai Yang,&nbsp;Lin Yang,&nbsp;Lei Zhang","doi":"10.1016/j.geoderma.2026.118010","DOIUrl":"10.1016/j.geoderma.2026.118010","url":null,"abstract":"<div><div>Soil organic matter (SOM) is critical for soil health, ecosystem functioning, and climate regulation. Digital soil mapping (DSM) offers an efficient approach for estimating the spatial distribution of SOM, but its accuracy strongly depends on whether environmental covariates adequately represent soil spatial variability. In recent years, dynamic covariates that change over time, particularly remote sensing vegetation indices (VI) and soil moisture (SM), have been increasingly incorporated into DSM. However, many studies still rely on a static perspective (usually using temporally averaged representations) for establishing covariates, which leads to the fact that the intrinsic temporal dynamic features of those covariates cannot be well captured. In this study, we extracted temporal dynamic covariates from VI and SM time series data over multiple time windows (1-year, 3-year, 5-year, and 10-year) using a Fast Fourier Transform (FFT) approach and evaluated their performance in SOM mapping across paddy fields, drylands, and forests in Anhui Province, China, using a random forest model. The results indicate that the FFT-derived VI-FFT and SM-FFT covariates improved SOM mapping accuracy across all evaluated time windows, with the 1-year + 5-year combination achieving the best performance. Adding VI-FFT and SM-FFT covariates increased the metric of Lin’s concordance correlation coefficient (LCCC) by 13.9% and 12.6%, respectively. The combined use of VI-FFT and SM-FFT covariates achieved the highest predictive performance, with a model improvement of 35.0% on average. Our results underscore the importance of incorporating multi-year environmental dynamics for establishing a robust SOC-environment relationship. This suggests that future DSM efforts should move beyond static covariates by systematically extracting temporal features from historical observations of vegetation and soil moisture.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"473 ","pages":"Article 118010"},"PeriodicalIF":7.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148895943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aggregate pseudo-stability and soil strength dynamics in Mollisols under contrasting tractor configurations and traffic intensities","authors":"Boxiang Zhang,&nbsp;Renming Ma,&nbsp;Yanfeng Jia,&nbsp;Haoming Fan,&nbsp;Fangli Su,&nbsp;Chengjiu Guo,&nbsp;Michael Maerker","doi":"10.1016/j.geoderma.2026.118037","DOIUrl":"10.1016/j.geoderma.2026.118037","url":null,"abstract":"<div><div>Agricultural traffic compaction threatens the conservation of black soils (Mollisols), but the combined effects of machinery configuration and repeated traffic remain insufficiently characterized under field conditions. We conducted a field experiment in a post-harvest soybean field in Keshan County, Northeast China, using three tractor configurations at five additional post-harvest traffic intensities (1, 3, 5, 7, and 9 passes), together with a shared untrafficked reference plot (CK). We measured bulk density, soil moisture content, porosity, dry- and wet-sieved aggregate-size distributions, penetration resistance, and vane shear strength. Repeated passes were more strongly associated with changes in the 0–10 cm layer, whereas differences among machinery configurations became more pronounced in the 10–20 cm layer. Compaction induced a state of “aggregate pseudo-stability”: dry aggregate coarsening and soil strength increased, whereas wet-stable aggregation responded less consistently. This divergence indicates that mechanically strengthened clods did not show a corresponding and consistent improvement in water-stable aggregation. Traffic under the large machinery configuration also produced a loose, granular soil surface. These findings provide a practical basis for optimizing machinery selection and traffic management in mechanized Mollisol farmland.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"473 ","pages":"Article 118037"},"PeriodicalIF":7.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148932569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}