Geoderma最新文献

{"title":"A novel ecological risk assessment method of potentially toxic elements based on soil nematode communities","authors":"Xiujuan Yang ,&nbsp;Li Cao ,&nbsp;Bijun Cheng ,&nbsp;Huirong Duan ,&nbsp;Zixuan Fu ,&nbsp;Xiaofang Xu ,&nbsp;Qianying Xiang ,&nbsp;Shuhan Wang ,&nbsp;Xiaoqing Yan ,&nbsp;Zhihong Zhang ,&nbsp;Hongmei Zhang","doi":"10.1016/j.geoderma.2025.117403","DOIUrl":"10.1016/j.geoderma.2025.117403","url":null,"abstract":"<div><div>Potentially toxic elements (PTEs) in soil near coal mines threaten soil biota, ecosystem stability, and human health. Soil nematodes, which quickly respond to environmental changes, are reliable biological indicators of PTEs contamination. However, research on establishing a systematic ecological risk assessment model for PTEs contamination using general community indices and nematode-based indices (NBIs) are limited. To address the research gap, we selected 7 cities in Shanxi Province, China, where coal mining is actively conducted. Bayesian kernel machine regression (BKMR) was used to analyze dose–response relationships of PTEs, general community indices, and NBIs. Additionally, based on the general community indices and NBIs, the study developed ecological risk assessment models of PTEs using machine learning techniques. The results showed moderate pollution with significant spatial and seasonal variations, and PTEs such as Pb, Hg, Mn, and Zn concentrations significantly exceeded (0.2 to 6.35 times) than background values. Structure index (SI), nematode channel ratio (NCR), and maturity index (MI) showed negative linear dose–response relationships with PTEs concentration. The ridge regression (Ridge) model performed the best for the nemerow synthetic pollution index (NSPI) and potential ecological risk index (RI) of comprehensive PTEs, while the random forest (RF) model performed the best for the pollution load index (PLI). NCR, MI, and Shannon-Weaver diversity index (H) were the most important factors in determining NSPI (NCR = 21.08 %, MI = 20.78 %, and H = 18.48 %) and RI (NCR = 20.90 %, MI = 20.90 %, and H = 19.50 %). The results highlight that PTEs contamination near coal mine areas was severe, leading to significant disturbances in nematode community structure. Applying general community indices and NBIs, Ridge and RF models can effectively predict the ecological risks of PTEs.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"460 ","pages":"Article 117403"},"PeriodicalIF":5.6,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144471533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Warming alters microplastic-induced soil carbon priming across diverse terrestrial ecosystems","authors":"Changyi Lu ,&nbsp;Yifang Zhang ,&nbsp;An-Qi Sun ,&nbsp;Ruixia Han ,&nbsp;Qing-Lin Chen","doi":"10.1016/j.geoderma.2025.117414","DOIUrl":"10.1016/j.geoderma.2025.117414","url":null,"abstract":"<div><div>Microplastics threaten terrestrial ecosystems, with biodegradable types potentially amplifying soil organic carbon losses through the priming effect. However, the response of microplastic-induced priming effect to global warming across ecosystems remains largely unknown. Here, we collected soils from farmland, grassland, and forest ecosystems across 1200 km in northeastern China, and explored the polybutylene succinate (PBS)-induced priming effect under two temperature conditions (25 ℃ and 29.5 ℃). We found that the input of PBS significantly increased soil CO₂ emission irrespective of ecosystem type and temperature, accompanied by an increase lability of soil dissolved organic matter (DOM). At 25°C, PBS induced a positive priming effect across all ecosystems—the strongest in grassland soils, followed by farmland and forest, and this effect was closely linked to changes in soil nitrogen transformation potential and availability. Warming slightly increased the intensity of cumulative priming effect in farmland soils (22–32 %) but significantly decreased it from 19 % to –32 % in forest soils and from 51 % to −21 % in grassland soils. These differences may be attributed to the varying responses of soil DOM chemodiversity to warming, with newly formed DOM molecules increasing in farmland soils after PBS addition but not in forest or grassland soils. Together, these findings advance our understanding of the mechanisms driving microplastic-induced priming effect and provide insights into how microplastic pollution may alter soil carbon cycling under global warming.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"460 ","pages":"Article 117414"},"PeriodicalIF":5.6,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144480713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sodium sorption and desorption in riparian soils impacted by road salt application","authors":"Luana G.G. Camelo,&nbsp;Tim P. Duval","doi":"10.1016/j.geoderma.2025.117412","DOIUrl":"10.1016/j.geoderma.2025.117412","url":null,"abstract":"<div><div>Sodium chloride (NaCl) is regularly used as road salt in cold regions to improve road safety during icy conditions. Once these ions enter the environment, Na is stored in the soils, with high concentrations of it leading to soil structure deterioration, organic matter leaching, and nutrient displacement. These impacts raise concerns about potential road salt effects in riparian soils, as these soils come into contact with direct runoff from urban areas and elevated Na levels in streams. Aiming to quantify the retention and release of Na in these ecosystems, this study evaluated Na sorption and desorption mechanisms of 18 different riparian soil types. The adsorption process followed a Langmuir isotherm within the tested concentration range (0–4800 mg Na/L) with deviation from linearity starting at ∼600 mg Na/L. The soils retained Na at the expense of other cations (Ca, Mg, and K), with maximum adsorption capacities ranging from 4000 to 13,700 mg Na/kg. Na build up in riparian soils is mostly driven by organic matter content, with clay and initial Na levels contributing to a lesser extent. Significant proportions of this adsorbed Na (&gt;65 %) readily desorbed back into solution in the controlled experiments, illustrating the highly dynamic association of Na with soil components. These findings suggest that the first flushes following the road salt application season may mobilize previously retained Na in the field. The net effect of this behavior may be a recurring desorption and leaching of essential macronutrients from the soil.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"460 ","pages":"Article 117412"},"PeriodicalIF":5.6,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144480712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term application of cattle manure alters functional N cycling genes and improves maize yield and nitrogen use efficiency","authors":"Yansheng Li ,&nbsp;Muqing Liu ,&nbsp;Zhenhua Yu ,&nbsp;Changkai Liu ,&nbsp;Xiaojing Hu ,&nbsp;Junjie Liu ,&nbsp;Jian Jin ,&nbsp;Yuan Chen ,&nbsp;Xingyi Zhang ,&nbsp;Guanghua Wang ,&nbsp;Xiaobing Liu","doi":"10.1016/j.geoderma.2025.117398","DOIUrl":"10.1016/j.geoderma.2025.117398","url":null,"abstract":"<div><div>Using livestock manure as organic fertilizer on farmlands has resulted in increased crop yields in many areas; however, the impact of long-term manure application on N cycling microorganisms and their effect on nitrogen utilization efficiency (NUE) associated with increased maize yield remains unclear. In this study, a long-term field trial was performed to compare four fertilization regimes: no fertilizer (CK), conventional synthetic fertilizer (CF), CF with 15 Mg ha⁻¹ (FM1) and 30 Mg ha⁻¹ (FM2) of dry-weight cattle manure, applied annually. After 10 and 12 years, FM1 and FM2 significantly boosted maize yield, especially after cycles of soybean–maize rotation, and improved NUE by 19–33 % and 17–53 %, respectively, compared with CF, with a positive correlation with increases in yield. Principal coordinate analysis showed that different fertilizer regimes were partitioned into four groups of N-related microbial communities. Proteobacteria, Actinobacteria, and Acidobacteria were the main phyla involved in N cycling. Among the genes involved in N cycling, <em>gdhA</em>, <em>narB</em>, <em>nasD</em>, <em>norB</em>, <em>napA</em>, <em>nirB</em>, <em>nifA</em> and <em>hao</em> demonstrated significant correlations with both plant N uptake and NUE. The insignificant differences between FM1 and FM2 in the relative abundance of most N genes in 2021 and 2023 helped to explain the similar crop outcomes between these two treatments. Compared with FM1, FM2 had a higher relative abundance of <em>narG</em> and a smaller size of constructed metagenome-assembled genomes (MAGs).</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"460 ","pages":"Article 117398"},"PeriodicalIF":5.6,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144471531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transferability of pedotransfer functions for estimating soil hydraulic properties: An analysis of controlling factors for forest soils in Switzerland","authors":"Julian Schoch ,&nbsp;Madlene Nussbaum ,&nbsp;Lorenz Walthert ,&nbsp;Andrea Carminati ,&nbsp;Peter Lehmann","doi":"10.1016/j.geoderma.2025.117397","DOIUrl":"10.1016/j.geoderma.2025.117397","url":null,"abstract":"<div><div>Soil hydraulic properties (SHP) are essential for estimating fluxes in terrestrial ecosystems, plant available water, and root water uptake. To provide SHP for large scale applications, pedotransfer functions (PTFs) are used. Many PTFs are trained for a specific region and its applicability outside this region is controversial. In this study, we analyse the controlling factors affecting PTF transferability across forest soils in Switzerland, focusing on confounders, and the entire modelling framework that we denote as model-building-and-form-of-statistical-function (i.e., the statistical method used to link covariates and responses, as well as model training and selection). We trained parsimonious Lasso models and Random Forest models with data from 24 forest sites located in the Swiss Central Plateau to create new PTFs (SwiPT). These were then transferred, alongside existing European PTFs, to forest soils of another Swiss region (Valais), which is topographically, climatically, and geologically considerably different. Our key finding is that PTFs using fewer covariates (specifically, only sand and clay content) demonstrated in average higher predictive performance when transferred, compared to PTFs using up to 11 covariates. We identify the presence of covariates acting either as confounders or whose measurement uncertainty undermines any predictive gains they might offer, as the main contributors to the limited transferability of PTFs with many covariates. In the context of measurement uncertainty, we discuss how bias introduced by different methods and laboratories could potentially contribute to this limited transferability. In addition, based on our analyses related to model-building-and-form-of-statistical-function, we conclude that effectively limiting or reducing the number of covariates is essential for developing transferable PTFs. This work advances our understanding of the mechanisms limiting PTF transferability and highlights key aspects for improving their generalisation.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"460 ","pages":"Article 117397"},"PeriodicalIF":5.6,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144338315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intercropping-driven effects on soil organic carbon mineralization and its temperature sensitivity are associated with soil C-N-P stoichiometry and carbon-acquiring microorganisms and enzymes","authors":"Ziyu Yang ,&nbsp;Jinmeng Hu ,&nbsp;Xiaowei Chen ,&nbsp;Yuping Zhang ,&nbsp;Yizhe Wang ,&nbsp;Jianwei Peng ,&nbsp;Jiangchi Fei ,&nbsp;Gongwen Luo ,&nbsp;Chaolin Liao","doi":"10.1016/j.geoderma.2025.117411","DOIUrl":"10.1016/j.geoderma.2025.117411","url":null,"abstract":"<div><div>By cultivating diverse plants on a same land, intercropping can enhance soil organic carbon (SOC) sequestration and crop production efficiency. However, the impact of different intercropping practice on SOC mineralization and its stability under global climate change remains limited. Herein, an eight-year field-based experiment with maize monoculture and four intercropping patterns was employed to investigate the intercropping-induced change in the SOC mineralization rate and its temperature sensitivity (Q₁₀). The carbon–nitrogen-phosphorus (C-N-P) stoichiometry of soil and microbiome, C-acquiring enzyme activities, and the abundances of 15 functional genes relating to SOC mineralization were employed to identify their relationships with SOC mineralization rate and its Q₁₀. The results showed that the responses of SOC mineralization rate and its Q₁₀ to intercropping practice varied based on the intercropping patterns and maize growth stages. Compared to monoculture, the maize intercropping with gingelly and sweet potatoes consistently exhibited lower Q₁₀ across maize four growth stages, the maize-peanut system presented lower Q₁₀ during the elongation, flowering and mature stages, and the maize-soybean system showed lower value specifically during the mature stage. Maize intercropping, particularly with soybean and sweet potato, significantly increased most of the C-mineralization gene abundance and C-acquiring enzyme activity we studied. In addition, most the C-acquiring gene abundance and enzyme activity we studied as well as the C-N-P contents and stoichiometic ratios of soil and microbial biomass were significantly related to the SOC mineralization rate and its Q₁₀. These findings elucidated the benefits of maize-based intercropping in SOC mineralization and its stability, which was largely associated with the response of soil C-N-P stoichiometry and C-acquiring microorganisms and enzymes to intercropping patterns and plant development. This study suggests that soil C pools can be stabilized while enhancing food production through intercropping under climate change.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"460 ","pages":"Article 117411"},"PeriodicalIF":5.6,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144365481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How to solve small sample size problems in time-series soil organic carbon mapping: New insights from the Third Law of Geography","authors":"Jingzhe Wang ,&nbsp;Zipeng Zhang ,&nbsp;Yankun Wang ,&nbsp;Cheng-Zhi Qin ,&nbsp;Xiangyue Chen ,&nbsp;Yinghui Zhang ,&nbsp;Zhongwen Hu","doi":"10.1016/j.geoderma.2025.117402","DOIUrl":"10.1016/j.geoderma.2025.117402","url":null,"abstract":"<div><div>Accurate and up-to-date mapping of soil organic carbon density (SOCD) spatial distribution and temporal dynamics is essential for understanding terrestrial ecosystem carbon fluxes and monitoring global climate change. However, the available historical soil sample data remained insufficient to meet the high-precision spatiotemporal mapping requirements of SOCD across large regions. Therefore, we attempted to apply the Third Law of Geography (also known as the Law of Geographic Similarity) to address the issue of small sample size in modelling. In this study, we proposed a weighted multivariate similarity index and a similarity threshold index, along with the identification of optimal thresholds for measuring geographic similarity, to effectively increase the soil sample size. Based on the different input samples, we designed various modeling schemes for SOCD mapping. Our results suggest that the geographic similarity threshold-driven framework successfully reconciles the trade-off between sample quantity and quality, increasing sample sizes by up to three times while enhancing spatial representativeness and reducing prediction uncertainty. Accuracy evaluation and uncertainty analysis consistently demonstrated that models incorporating similarity-based input samples outperformed those relying solely on limited local samples. In comparison to the model utilizing only a limited data sample, the S1-1980 s model, achieved a coefficient of determination (<span><math><msup><mrow><mi>R</mi></mrow><mn>2</mn></msup></math></span>) of 0.04 and a root mean square error (<span><math><mrow><mi>R</mi><mi>M</mi><mi>S</mi><mi>E</mi></mrow></math></span>) of 2.47 Kg C m⁻². Conversely, the S3-1980 s model, based on similarity-expanded samples, demonstrated a significant improvement, achieving an <span><math><msup><mrow><mi>R</mi></mrow><mn>2</mn></msup></math></span> of 0.64 and a <span><math><mrow><mi>R</mi><mi>M</mi><mi>S</mi><mi>E</mi></mrow></math></span> of 1.36 Kg C m⁻². Consequently, the prediction using the improved model achieved accurate detection of regional spatiotemporal patterns of SOCD. This study provides a reference for addressing small sample size issues in time-series soil organic carbon mapping.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"460 ","pages":"Article 117402"},"PeriodicalIF":5.6,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144336012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative analysis of soil thermal conductivity in the permafrost regions of the Qinghai–Tibetan Plateau and the Arctic","authors":"Wenhao Liu ,&nbsp;Ren Li ,&nbsp;Tonghua Wu ,&nbsp;Guojie Hu ,&nbsp;Xiaodong Wu ,&nbsp;Shenning Wang ,&nbsp;Junjie Ma ,&nbsp;Jianzong Shi ,&nbsp;Shengfeng Tang ,&nbsp;Xiaofan Zhu ,&nbsp;Yongping Qiao","doi":"10.1016/j.geoderma.2025.117409","DOIUrl":"10.1016/j.geoderma.2025.117409","url":null,"abstract":"<div><div>The Qinghai-Tibetan Plateau (QTP) and the Arctic are prime examples of permafrost distribution in high-altitude and high-latitude regions. A nuanced understanding of soil thermal conductivity (STC) and the various influencing factors is essential for improving the accuracy of permafrost simulation models in these areas. Nevertheless, no comparative analysis of STC between these two regions has been conducted. Therefore, this study aims to investigate the characteristics and influencing factors of STC at varying depths within the active layer (5 to 60 cm) during freezing and thawing periods in the QTP and the Arctic, using the regional-scale STC data products simulated through the XGBoost method. The findings indicate the following: (1) the mean STC of permafrost in the QTP is higher than that in the Arctic permafrost region. The STC in the QTP demonstrates a declining trend over time, while the Arctic permafrost maintains relative stability. The mean STC values in the QTP permafrost region during the thawing period are significantly higher than those during the freezing period. (2) STC of the QTP exhibits a fluctuating pattern at different depths, in contrast, the average STC value in the Arctic increases steadily with depth, with an increase rate of approximately 0.005 Wm⁻¹ K⁻¹/cm. (3) The analysis of influencing factors revealed that although moisture content, bulk density, and porosity are the primary drivers of regional variations in STC between the QTP and the Arctic permafrost, moisture elements in the QTP region have a greater influence on STC and the effect is stronger with increasing depth and during the freeze–thaw cycles. Conversely, soil saturation, bulk density, and porosity in the Arctic have significant impacts. This study constitutes the first systematic comparative analysis of STC characteristics.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"460 ","pages":"Article 117409"},"PeriodicalIF":5.6,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144330378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pathways to improving MIR prediction accuracy for soil carbon, nitrogen and pH using external libraries at national scale","authors":"Felipe Bachion de Santana,&nbsp;Giulia Bondi,&nbsp;Karen Daly","doi":"10.1016/j.geoderma.2025.117410","DOIUrl":"10.1016/j.geoderma.2025.117410","url":null,"abstract":"<div><div>The European Union’s proposed Soil Monitoring and Resilience Law will require reliable methodologies for monitoring soil properties such as total carbon (TC), total organic carbon (TOC), total nitrogen (TN), and soil pH (Water). This study investigates the potential of MIR spectroscopy in predict these soil attributes at a national level using an external archive of ∼3700 samples collected in 2023. Predictions were based on support vector regression models calibrated with regional archives of ∼850 samples for TC, TOC, and TN, and 1,264 samples for pH scanned in 2021.</div><div>The findings shows the importance of spectral control charts for properties like pH, which does not present specific peaks in the MIR spectra and is derived from combinations of other chemical groups, like carboxylic acids and carbonates. In this case, spectral control charts improved pH prediction, reducing RMSEP by ∼50 % (0.31 to 0.22), but classified 876 of 3,545 samples as unrepresentative, requiring classical analysis. In contrast, for parameters with distinct MIR peaks, such as TC, TOC, and TN, comparable accuracy was obtained without control charts by simply aligning the range of predicted values with those in the model calibration, i.e. excluding predicted values that fell outside the calibration range. This is a simple strategy and only excluded, on average, 55 samples of ∼3700.</div><div>In conclusion, spectral control charts are essential for indirect predictions but unnecessary for direct ones. For direct predictions, excluding out-of-range values is an effective strategy to ensure accuracy, with unrepresentative samples requiring reference analysis.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"460 ","pages":"Article 117410"},"PeriodicalIF":5.6,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144335711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Phosphorus fertilization of grasses with dairy processing waste materials and contributions of soil microorganisms towards phosphorus uptake","authors":"Á. Velasco-Sánchez ,&nbsp;Y. Hu ,&nbsp;S.G. Sommers ,&nbsp;G.Y.K. Moinet ,&nbsp;J.W. Van Groenigen ,&nbsp;I. Trinsoutrot-Gattin ,&nbsp;N. Bennegadi-Laurent","doi":"10.1016/j.geoderma.2025.117406","DOIUrl":"10.1016/j.geoderma.2025.117406","url":null,"abstract":"<div><div>Dairy processing waste (DPW) is one of the largest agro-industrial residues globally and has the potential of reducing the dependency on mineral phosphorus (P) fertilizers in grasslands. However, the agronomical value and the effects of DPW and the secondary materials produced from it on grass yields and soil microorganisms remains largely unexplored. In a 112-day greenhouse experiment, we evaluated the biomass production and P uptake of two grass species, grown on a loamy topsoil, with contrasting growth strategies (<em>Lolium perenne L.</em> fast-grower <em>vs Dactylis glomerata L.</em> slow-grower) and the effects on soil microorganisms under the fertilization of raw DPW sludge, and its secondary materials (ash and hydrochar). We compared the fertilized pots with a positive control with triple-superphosphate (TSP) and a negative control without P application. Our results showed that Olsen P and plant P concentrations were highest in the treatment with TSP after one month of application for both grass species. However, biomass production, P uptake and phosphorus use efficiency (PUE) were the greatest for sludge at day 112 for both species (56.39 ± 3.34 g pot⁻¹, 0.20 g ± 0.02 P and 56.18 ± 12.44 %, n = 8). Ash and hydrochar resulted in lower biomass production than TSP and sludge and their PUE was low (&lt; 20 %). Fungi and arbuscular mycorrhiza fungi PLFA markers were among the most important variables in explaining P uptake. The results of our study suggest that application of DPW sludge and soil’s fungal biomass can reduce the dependency on mineral P fertilizers in grassland.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"460 ","pages":"Article 117406"},"PeriodicalIF":5.6,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}