Geoderma最新文献

{"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":"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":"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}

{"title":"Mangrove restoration is not agriculture: nutrient enrichment destabilizes blue carbon by increasing microbial access to protected pools","authors":"Armando Cavalcante Franco Dias","doi":"10.1016/j.geoderma.2026.118015","DOIUrl":"10.1016/j.geoderma.2026.118015","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"473 ","pages":"Article 118015"},"PeriodicalIF":7.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148895944","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":"Long-term monitoring of dissolved organic matter using a multi-analytical approach reveals spruce decline as a primary driver of soil solution browning","authors":"Adrien Saphy,&nbsp;Marie-Noëlle Pons,&nbsp;Sophie Rihs,&nbsp;Jeremy Masbou,&nbsp;Emilie Beaulieu,&nbsp;Marie-Claire Pierret","doi":"10.1016/j.geoderma.2026.118012","DOIUrl":"10.1016/j.geoderma.2026.118012","url":null,"abstract":"<div><div>Surface water browning is a widespread phenomenon in the Northern Hemisphere, although its underlying drivers remain debated. In this study, we combined 20  years of dissolved organic carbon (DOC) measurements with five years of optical characterization in soil solutions collected at multiple depths from two contrasting forest plots in the Strengbach catchment (Vosges Mountains, France): a spruce stand affected by dieback and a beech stand. We developed a conceptual framework to interpret the optical properties of DOC in soil solutions, based on commonly used indices and distinguishing between two endmembers: litter-derived and microbial-derived signatures. Our results reveal a marked browning in soil solutions associated with spruce decline, characterized by increasing DOC and aromaticity. DOC concentrations increased significantly at several soil depths between 2004 and 2024, with an intensified increase following bark beetle infestation in 2013, reaching up to 2  ppm-C/year at 5 and 30  cm depth. This increase was accompanied by a shift towards more litter-derived DOC and a concomitant decrease in microbial-derived signatures, exacerbated in deeper soil solutions. A soil sequence representing a post-decline gradient further demonstrated that spruce decline increased soil lignin content, resulting in higher DOC and aromaticity in soil solutions, driven by litter input changes. The reduced microbial activity following clear-cut may explain the lower microbial signature. Overall, the disturbance of forest cover associated with spruce decline is a major driver of soil solution browning, raising concerns regarding the quality of downstream surface waters.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"473 ","pages":"Article 118012"},"PeriodicalIF":7.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148884328","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":"A deep learning super‑resolution framework for spatial downscaling: Application to soil organic carbon","authors":"Mick Cai,&nbsp;Budiman Minasny","doi":"10.1016/j.geoderma.2026.118017","DOIUrl":"10.1016/j.geoderma.2026.118017","url":null,"abstract":"<div><div>Downscaling existing digital soil maps is needed to provide the spatial detail required for fine-resolution land management and carbon accounting. This is particularly important for soil organic carbon (SOC), where existing national maps are often inadequate for local decision-making. Current downscaling approaches commonly rely on field measurements, high-resolution covariates at the target location, or simple bilinear interpolation, which can limit their applicability and accuracy in data-limited regions. Deep learning super-resolution methods have recently been explored for environmental variables and can provide a promising pathway for downscaling coarse digital soil maps. Here, we present a deep super‑resolution framework based on the Residual Channel Attention Network (RCAN) and demonstrate its application on SOC maps, showing that RCAN can downscale 90 m inputs to 30 m by learning transferable coarse‑to‑fine patterns. We found that RCAN maintained a strong correlation between estimated and reference SOC (R² ≥ 0.992) and achieved great accuracy (median error ≤ 0.0036%) within the dominant SOC range. RCAN consistently outperformed bilinear interpolation by reducing prediction errors, improving reconstruction fidelity, and better preserving fine-scale spatial structure. These results highlight the potential of a deep learning super‑resolution framework for spatial downscaling, using SOC as an example of its applicability in data‑limited contexts.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"473 ","pages":"Article 118017"},"PeriodicalIF":7.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148894620","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":"In Memoriam: Professor J. Malcolm Oades (1937–2026)","authors":"Ingrid Kögel-Knabner,&nbsp;Carsten W. Müller","doi":"10.1016/j.geoderma.2026.118029","DOIUrl":"10.1016/j.geoderma.2026.118029","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"473 ","pages":"Article 118029"},"PeriodicalIF":7.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148979436","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":"Tracking biological and mechanical subsoil amelioration via multi-coil electromagnetic induction","authors":"Aaron Sobbe,&nbsp;Jessica Schmäck,&nbsp;Cosimo Brogi,&nbsp;Anja Klotzsche,&nbsp;Lutz Weihermüller,&nbsp;Harry Vereecken,&nbsp;Enzo Rizzo,&nbsp;Jan van der Kruk","doi":"10.1016/j.geoderma.2026.118001","DOIUrl":"10.1016/j.geoderma.2026.118001","url":null,"abstract":"<div><div>Subsoil compaction limits root growth and water uptake, often amplifying crop stress during drought. Biological “bio-drilling” with deep-rooting plants is a sustainable alternative to mechanical tillage, creating stable biopores and improving soil structure and water infiltration, but assessing its long-term effectiveness remains challenging. This study evaluates the use of a multi-coil electromagnetic induction (EMI) system to monitor subsoil responses to various loosening strategies, including biological treatments (Lucerne and Ryegrass mixture) and mechanical deep loosening with or without compost incorporation. EMI surveys prior to the experiment revealed inherent soil heterogeneity, emphasizing the importance of baseline mapping for robust experimental design. To isolate management-induced signatures, an innovative data processing workflow was implemented to effectively disentangle anthropogenic structural legacies from the dominant pedological “soil memory” (i.e., inherent natural soil heterogeneity). Time-lapse surveys tracked treatment effects over subsequent cropping seasons. Complementary EMI point measurements showed a distinct negative trend in apparent electrical conductivity (<em>ECa</em>), consistent with soil drying associated with crop development and root water uptake. This suggests that biological and mechanical amelioration may leave lasting structural signatures in the subsoil that modify water accessibility and hydraulic connectivity, ultimately enhancing the crop’s ability to exploit deep water reserves. By combining spatial and temporal monitoring, EMI provides a powerful tool to link soil structural changes to crop water dynamics and resource use efficiency. This work shows how non-invasive geophysical methods can reveal subtle but ecologically meaningful responses in the soil-root continuum under real cropping conditions and supports the potential of bio-drilling to reduce subsoil compaction.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"473 ","pages":"Article 118001"},"PeriodicalIF":7.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148884329","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}