Geoderma最新文献

{"title":"Changes in the soil and rhizosphere microbiomes associated with bacterial wilt decline in the tomato monoculture field","authors":"Junwei Peng ,&nbsp;Jinfeng Hou ,&nbsp;Hong Liu ,&nbsp;Dmitri V. Mavrodi ,&nbsp;Olga V. Mavrodi ,&nbsp;Feifei Sun ,&nbsp;Minchong Shen ,&nbsp;Xia Wang ,&nbsp;Keke Dang ,&nbsp;Min Yan ,&nbsp;Hui Liang ,&nbsp;Yuanhua Dong ,&nbsp;Jiangang Li","doi":"10.1016/j.geoderma.2025.117273","DOIUrl":"10.1016/j.geoderma.2025.117273","url":null,"abstract":"<div><div>Monoculture farming streamlines field equipment use and increases the efficiency of planting and harvesting, but at the same time, exacerbates the severity of soilborne diseases. Disease-suppressive soils are an effective and sustainable resource for managing soilborne diseases in monoculture systems. However, the evolution and mechanisms of soil suppressiveness remain elusive, limiting the broader acceptance of suppressive soil in agriculture. This study investigated changes in the belowground tomato microbiome during long-term monoculture leading to an outbreak and subsequent suppression of bacterial wilt, a destructive soilborne disease. The wilt incidence steadily increased, culminating in the most severe outbreak in the fifth cropping cycle. Surprisingly, in the seventh crop, wilt symptoms spontaneously declined, signifying a transition toward the disease-suppressive state. This transition involved the enrichment of <em>Streptomyces</em> and trace elements (Mn, Ni) in the bulk soil, accompanied by increased diversity and abundance of <em>Pseudomonas</em> in the rhizosphere<em>.</em> Greenhouse disease assays confirmed that the suppressive soil had significantly lower wilt incidence and shaped a healthy rhizosphere community characterized by reduced prevalence of pathogenic taxa and greater resource utilization diversity, compared to its disease-conducive counterpart. Moreover, functional analysis of the suppressive rhizosphere metagenome revealed enrichment of genes for the synthesis of antibiotics, polysaccharides, nitrogen metabolism, mineral absorption, and energy production. Drenching tomato seedlings with suppressive rhizosphere soil suspensions enriched beneficial rhizosphere microorganisms such as <em>Pseudomonas</em> and <em>Bacillus</em>, improving plant growth and physiological characteristics compared to seedlings treated with conducive rhizosphere soil suspensions. Furthermore, <em>Pseudomonas</em> and <em>Bacillus</em> were isolated and validated for their antagonistic ability against <em>R. solanacearum</em>, demonstrating their inhibitory effect on bacterial wilt in greenhouse trials. This study is among the first to directly demonstrate that long-term tomato monoculture can induce specific soil suppressiveness against <em>Ralstonia</em> wilt, while also revealing the key changes in soil and rhizosphere microbiomes and their function associated with this phenomenon.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"457 ","pages":"Article 117273"},"PeriodicalIF":5.6,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143768137","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":"Corrigendum to “Heat flow characteristics and thermal resistance model for soil-rock mixtures during freezing-thawing processes: Damping properties” [Geoderma 439 (2023) 116662]","authors":"Jianguo Lu ,&nbsp;Yindong Wang ,&nbsp;Wansheng Pei ,&nbsp;Xusheng Wan ,&nbsp;Liling Tan ,&nbsp;Fei Deng","doi":"10.1016/j.geoderma.2025.117227","DOIUrl":"10.1016/j.geoderma.2025.117227","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"456 ","pages":"Article 117227"},"PeriodicalIF":5.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791132","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":"Corrigendum to “Influence of soil properties and feedstocks on biochar potential for carbon mineralization and improvement of infertile soils” [Geoderma 332 (2018) 100–108]","authors":"Ali El-Naggar ,&nbsp;Sang Soo Lee ,&nbsp;Yasser Mahmoud Awad ,&nbsp;Xiao Yang ,&nbsp;Changkook Ryu ,&nbsp;Muhammad Rizwan ,&nbsp;Jörg Rinklebe ,&nbsp;Daniel C.W. Tsang ,&nbsp;Yong Sik Ok","doi":"10.1016/j.geoderma.2025.117254","DOIUrl":"10.1016/j.geoderma.2025.117254","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"456 ","pages":"Article 117254"},"PeriodicalIF":5.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791253","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":"Erratum to “Influence of soil properties and feedstocks on biochar potential for carbon mineralization and improvement of infertile soils” [Geoderma 332 (2018) 100–108]","authors":"Ali El-Naggar ,&nbsp;Sang Soo Lee ,&nbsp;Yasser Mahmoud Awad ,&nbsp;Xiao Yang ,&nbsp;Changkook Ryu ,&nbsp;Muhammad Rizwan ,&nbsp;Jörg Rinklebe ,&nbsp;Daniel C.W. Tsang ,&nbsp;Yong Sik Ok","doi":"10.1016/j.geoderma.2025.117255","DOIUrl":"10.1016/j.geoderma.2025.117255","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"456 ","pages":"Article 117255"},"PeriodicalIF":5.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791257","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":"Does digital soil mapping prediction performance of soil texture improve when adding uncertain field texture estimates? A study based on clay content","authors":"Anne C. Richer-de-Forges ,&nbsp;Songchao Chen ,&nbsp;Gerard B.M. Heuvelink ,&nbsp;Stephan van der Westhuizen ,&nbsp;Thomas G. Orton ,&nbsp;Hocine Bourennane ,&nbsp;Dominique Arrouays","doi":"10.1016/j.geoderma.2025.117277","DOIUrl":"10.1016/j.geoderma.2025.117277","url":null,"abstract":"<div><div>Hand-feel soil texture observations (HFST) are less accurate, yet much more numerous, than laboratory measurements of soil texture (LAST). Therefore, it is tempting to incorporate both LAST and HFST information as calibration data in digital soil mapping (DSM) of particle-size distribution. We used about 1000 LASTs and 15,000 HFSTs over an area of about 6,800 km². We incorporated the uncertainties of HFST and LAST calibration data in DSM and compared it with a case where measurement errors were ignored. We added progressively HFST calibration data to LAST data and ran predictions and k-fold validations keeping the same validation set for all experiments. We added HFSTs according to different strategies: either based on the most uncertain predicted areas from the LAST-only model, or those from the preceding LAST + nHFST model, or randomly. We discuss the pros and cons of these different strategies. Adding HFST data brought useful information for model calibration, but only if the uncertainty was accounted for. Various strategies for adding HFSTs led to different unbalanced samplings, maps and prediction intervals. We explain how these various unbalanced samplings sharpened or enlarged the predictive distribution of various clay content ranges. Adding a too large number of HFSTs led to an over-optimistic estimation of the 90 % prediction interval and to large homogeneous patterns, smoothing the spatial variation of clay content. Adding HFSTs using weights to acknowledge their uncertainty substantially improved DSM predictions, but the number of HFSTs and the strategy to add them must be carefully adapted.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"456 ","pages":"Article 117277"},"PeriodicalIF":5.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739883","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":"Corrigendum to “Empirical estimation of saturated soil-paste electrical conductivity in the EU using pedotransfer functions and Quantile Regression Forests: A mapping approach based on LUCAS topsoil data” [Geoderma 454 (2025) 117199]","authors":"Calogero Schillaci ,&nbsp;Simone Scarpa ,&nbsp;Felipe Yunta ,&nbsp;Aldo Lipani ,&nbsp;Fernando Visconti ,&nbsp;Gábor Szatmári ,&nbsp;Kitti Balog ,&nbsp;Triven Koganti ,&nbsp;Mogens Greve ,&nbsp;Giulia Bondi ,&nbsp;Georgios Kargas ,&nbsp;Paraskevi Londra ,&nbsp;Fuat Kaya ,&nbsp;Giuseppe Lo Papa ,&nbsp;Panos Panagos ,&nbsp;Luca Montanarella ,&nbsp;Arwyn Jones","doi":"10.1016/j.geoderma.2025.117253","DOIUrl":"10.1016/j.geoderma.2025.117253","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"456 ","pages":"Article 117253"},"PeriodicalIF":5.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791131","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":"Kinetics and dynamics of dissolved organic nitrogen, and nitrogen cycling genes in the soil profile of an irrigated vineyard with surface-applied organic amendments","authors":"Mehdi Sharifi ,&nbsp;Lori Phillips ,&nbsp;Seanna Zintel ,&nbsp;Brent Seuradge","doi":"10.1016/j.geoderma.2025.117246","DOIUrl":"10.1016/j.geoderma.2025.117246","url":null,"abstract":"<div><div>Understanding the dynamics of dissolved organic nitrogen (DON) in the vineyard’s soil is crucial for nitrogen (N) management in this agroecosystem. This study investigated the kinetics and dynamics of DON, including underlying microbial mechanisms, in the soil profile of an irrigated Merlot vineyard in the Okanagan Valley, BC, Canada. Biennial treatments from 2011 to 2018 included wood-based mulch with or without agricultural compost (26.7 and 13.7 Mg ha⁻¹ fresh weight, respectively) and a non-amended control. In the Fall of 2018, composite soil samples were collected at 15 cm intervals down to 60 cm depth. Microbial N cycling functional potential was determined, and initial DON concentrations, and potentially releasable DON (N₀-_DON), and the DON release rate constant (k-_DON) were assessed via 100-day aerobic incubation. Pre-incubation DON levels (0.89–44.1 mg N kg⁻¹) were higher in mulch + compost ≥ mulch &gt; control and decreased with depth. DON release followed first-order kinetics, with N₀-_DON ranging from 12.1 to 188 mg N kg⁻¹ and being unaffected by amendments, but decreased with depth. Cumulative DON averaged 33.8 mg N kg⁻¹ and was also unaffected by amendments, but it decreased with depth. The k-_DON (0.016–0.224 wk⁻¹) was influenced by amendments and depth, with higher values in mulch + compost compared to mulch-only and control, and it declined with depth. Organic amendments doubled bacterial proteolytic capacity, positively correlating with N parameters. Bacillota-related proteolytic (<em>npr</em>) and nitrate reduction (<em>nrfA</em>) genes were associated with cumulative DON and nitrate release during the incubation, suggesting that mineral N released by proteolytic activity was re-immobilized into microbial biomass, maintaining plant-available N throughout the soil profile. First-order kinetics further support the key role of soil organisms in DON dynamics. In low-N systems like vineyards, DON supply rivals mineral N and increases with organic amendments. While DON supplementation supports mineral N supply, its potential capacity diminishes over the long term, necessitating periodic applications to maintain effectiveness. The relatively fast release of N_min and DON from mulch + compost makes it ideal for early spring applications to synchronize N release with grapevine N uptake. These findings are particularly relevant for organic vineyards with limited access to N sources.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"456 ","pages":"Article 117246"},"PeriodicalIF":5.6,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734967","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 single-layer equivalent soil mass method for the evaluation of soil organic carbon stocks: Sources of errors, simplification, and associated detectable change","authors":"Pascal Boivin,&nbsp;Téo Lemaître,&nbsp;Julien Clark,&nbsp;Marie Guittonneau,&nbsp;Cédric Deluz","doi":"10.1016/j.geoderma.2025.117279","DOIUrl":"10.1016/j.geoderma.2025.117279","url":null,"abstract":"<div><div>It has been well established that for consistent soil organic carbon stock (<em>SOCS</em>) monitoring over time, the <em>SOCS</em> must be determined in an equivalent soil mass (ESM) layer rather than a depth layer. This work focused on the single-layer ESM method, its cost, accuracy and simplification. With the objective of simplifying ESM method and reducing costs, we sampled 393 fields in western Switzerland and experimentally questioned the sampling methods, the sources of variance and the minimum detectable change (<em>MDC</em>) of <em>SOCS</em>, and possible simplification. The layer mass was accurately determined using gouge-augers, thus overcoming a major drawback in performing ESM <em>SOCS</em> evaluation. The relationships between number of aliquots and estimated SOCS variance was determined. Sampling at fixed depth and layer bulk density resulted in unacceptable errors and MDCs exceeding several decades when converted to years before a change was detectable. We introduced a new procedure to fully consider the coarse fraction volume in the layer, which remains a major source of error on the <em>SOCS</em> when the coarse fraction volume exceeds 10 % of the layer volume, while not impacting the detectability of the change. The single-layer ESM method provided an <em>MDC</em> corresponding to less than 10 years before <em>SOCS</em> change detectability under the average regional conditions, and mass correction results in negligible increase in <em>MDC</em> compared to that of the 0–30 cm layer. Simplifying this method by using the average soil organic carbon content of the layer mass correction only slightly increased the <em>MDC</em>, thus providing an opportunity to decrease the cost of <em>SOCS</em> monitoring significantly.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"456 ","pages":"Article 117279"},"PeriodicalIF":5.6,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734968","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 organic carbon stocks and stabilization mechanisms in tidal marshes along estuarine gradients","authors":"Friederike Neiske ,&nbsp;Maria Seedtke ,&nbsp;Annette Eschenbach ,&nbsp;Monica Wilson ,&nbsp;Kai Jensen ,&nbsp;Joscha N. Becker","doi":"10.1016/j.geoderma.2025.117274","DOIUrl":"10.1016/j.geoderma.2025.117274","url":null,"abstract":"<div><div>Tidal marshes in estuaries store large amounts of soil organic carbon (SOC) and are dominated by the interaction of tidal inundation and salinity with biotic ecosystem components, leading to strong spatio-temporal heterogeneity. Little is known how these estuarine conditions affect SOC stabilization. Our aim was to assess (i) SOC stocks, (ii) SOC stabilization mechanisms (aggregation and mineral-association), and (iii) their environmental drivers along estuarine gradients. We analyzed SOC stocks and SOC density fractions in topsoil (0–10 cm) and subsoil (10–30 cm) of three marsh zones representing three flooding regimes (daily, monthly, yearly) in three marsh types along the salinity gradient (salt, brackish, freshwater) of the Elbe Estuary, Germany. The SOC stocks in 0–30 cm ranged between 9.3–74.6 t ha⁻¹, and decreased with increasing salinity and flooding. This was linked to decreasing plant biomass and soil fine texture. Organic matter (OM) associated with minerals (C_MAOM) constituted the largest SOC fraction (59 % of SOC), followed by aggregate-occluded OM (C_oPOM) (24 %) and free particulate OM (C_fPOM) (16 %). The C_MAOM amount in topsoils decreased with increasing salinity, reflecting decreasing soil fine texture. Amounts of C_oPOM were higher in topsoils and high marshes, indicating negative effects of flooding on aggregation. The contribution of C_fPOM to total SOC increased with increasing flooding, likely related to its preservation under reducing soil conditions. Our results emphasize that increasing marine influence (rising salinity and flooding frequency) leads to a decrease in SOC content and stabilization. Therefore, sea–level rise has the potential to negatively impact SOC storage in estuarine marshes.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"456 ","pages":"Article 117274"},"PeriodicalIF":5.6,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725366","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":"National-scale mapping topsoil organic carbon of cropland in China using multitemporal Sentinel-2 images","authors":"Jie Xue ,&nbsp;Xianglin Zhang ,&nbsp;Songchao Chen ,&nbsp;Zhongxing Chen ,&nbsp;Rui Lu ,&nbsp;Feng Liu ,&nbsp;Bas van Wesemael ,&nbsp;Zhou Shi","doi":"10.1016/j.geoderma.2025.117272","DOIUrl":"10.1016/j.geoderma.2025.117272","url":null,"abstract":"<div><div>Precise monitoring of soil organic carbon (SOC) is urgently needed in agricultural regions to tackle global challenges like food security, water regulation, land degradation, and climate change. Remote sensing technology has emerged as a powerful method for detecting variations in SOC at localized scales. However, its application on a broader, national scale faces limitations, especially in countries like China, where soil landscapes exhibit significant diversity. This study aimed to couple bare soil reflectance and conventional environmental covariates to map Chinese cropland SOC content at a 10-m spatial resolution. First, a new time-series bare soil extraction method, the Two-Dimensional Bare Soil Separation Algorithm, was applied, utilizing Sentinel-2 images from 2018 to 2022 to generate a continuous spectral reflectance composite. Then, nine indices with the strongest correlation to SOC were selected. Additionally, a list of environmental covariates was prepared based on SCORPAN model. Finally, bootstrapping random forest models were fitted using the covariates selected through forward recursive feature selection (FRFS), and the spatial prediction SOC map was created. The results indicated that the framework was suitable for mapping SOC in croplands of China, with the best model using remote sensing indices and environmental covariates selected through FRFS achieving an R² of 0.62, an RMSE of 4.84 g kg⁻¹, and an uncertainty depicted by a 90 % prediction interval range of 17.88 g kg⁻¹. The final map showed that the Northeast China had the highest SOC content in cropland. Climatic conditions, position, and remote sensing indices are key covariates in national-scale SOC estimation. This study can be easily implemented across broad areas for the prediction of SOC with computational efficiency. The 10-m spatial resolution SOC map of China contributes to land management and the development of policies for precision agriculture.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"456 ","pages":"Article 117272"},"PeriodicalIF":5.6,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725365","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}