Environmental Pollution最新文献

{"title":"Oxidative stress-mediated neurotoxicity of para-xylene and neuroprotection by gluconolactone in Xenopus laevis","authors":"Lu Han,&nbsp;Wenyi Huang,&nbsp;Lingyun Meng,&nbsp;Xinyi Duan,&nbsp;Yufei Wu,&nbsp;Qihui Lin,&nbsp;Xiaohua Wu,&nbsp;Qi Chen,&nbsp;Wanhua Shen","doi":"10.1016/j.envpol.2025.126756","DOIUrl":"10.1016/j.envpol.2025.126756","url":null,"abstract":"<div><div>Para-xylene (PX) is a commonly used industrial solvent that poses significant neurotoxic risks, however, the underlying physiological mechanisms remain inadequately defined. In this study, we exposed <em>Xenopus laevis</em> tadpoles to PX and used RNA sequencing and enzymatic assays to explore the underlying neurotoxic mechanisms. Our findings revealed a marked reduction in the expression of genes associated with oxidative stress defense, notably superoxide dismutase (<em>sod1.L</em>) and catalase (<em>cat.L</em>). These observations were validated by quantitative PCR and enzyme activity assays, which confirmed decreased SOD and CAT activities alongside elevated levels of oxidative damage markers, including malondialdehyde (MDA) and lactate dehydrogenase (LDH). PX treatment leads to increased neuronal apoptosis and abnormal swimming behavior. Notably, the co-administration of glucuronolactone (GA) with PX restored the activities of these critical enzymes and reduced oxidative damage, suggesting a mitigating effect of GA on PX-induced stress. Further validation using diethyldithiocarbamate (DDC) to inhibit SOD activity underscored the enzyme's pivotal role in mediating PX toxicity. Additionally, TUNEL assays demonstrated that GA effectively prevented neuronal apoptosis in the optic tectum, while behavioral assessments indicated a recovery in normal swimming patterns. Collectively, these results indicate that PX exposure triggers oxidative stress, leading to neuronal damage and behavioral deficits, whereas GA confers a protective effect by re-establishing antioxidant balance and reducing cell death.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"382 ","pages":"Article 126756"},"PeriodicalIF":7.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144520779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spread performance and underlying mechanisms of pathogenic bacteria and antibiotic resistance genes adhered on microplastics in the sediments of different urban water bodies","authors":"Jingxi Shu, Siyu Hou, Henghao Cao, Xin Liu, Weiyao Cai, Yuanhong Zeng, Xuemei Luo, Weiguo Tu, Yajie Zhang, Changsong Zhao, Zhaoqiong Chen","doi":"10.1016/j.envpol.2025.126758","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126758","url":null,"abstract":"Urban water bodies often pose frequent human activities, the pollution of microplastics (MPs) in these sediments, and pathogenic bacteria and antibiotic resistance genes (ARGs) enriched on the MPs may have risk to human health. However, there is little known about these issues. In this paper, three typical urban water bodies (the urban park lake, the urban inland river, and the urban-rural lake) were selected to identify the characteristics of MPs. Furthermore, the enrichment and driving mechanisms of pathogenic bacteria and ARGs on MPs in sediments were studied. These three water bodies were polluted with MPs, dominated by polyethylene (PE)-MPs and polystyrene (PS)-MPs. <em>Gammaproteobacteria</em>, <em>Pseudomonadota</em>, etc. as the main types of pathogenic bacteria, with <em>Pseudomonas aeruginosa</em> and <em>Acinetobacter baumannii</em> as significantly enriched in the urban inland rivers. The predominant ARGs were bacitracin- (<em>bacA</em>) and sulfonamide- (<em>sul1</em>) resistant ARGs. Transposase was the main genetic elements that drove the transfer of ARGs and the main resistance mechanism of ARGs was antibiotic efflux. The enrichment behavior of pathogenic bacteria and ARGs on MPs was also driven by the types of MPs, especially PS-MPs. The pathogenic bacteria at urban inland rivers had more types of ARGs, transfer elements and resistance mechanisms, thus the risk of pathogenic bacteria resistance needed specific concern. The results of our study were of great significance to gain insights into the pathogenic resistance risks and ecological risks of pathogenic bacteria and ARGs in sediments of urban water bodies.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"46 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144520968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Systematic Approach to Mitigate Ozone Pollution in Northern Taiwan: Evidence from De-pollutant Analysis","authors":"Thi-Thuy-Nghiem Nguyen, Manisha Mishra, Laddawan Noynoo, Thi-Cuc Le, Guan-Yu Lin, Tsai-Yin Lin, Racha Dejchanchaiwong, Perapong Tekasakul, Chuen-Jinn Tsai","doi":"10.1016/j.envpol.2025.126752","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126752","url":null,"abstract":"Strict air pollution control regulations in Taiwan have led to a gradual decrease in PM_2.5 and most gaseous pollutants from 2012 to 2022, except for ozone (O₃). With annual average concentrations frequently surpassing the Taiwan Ambient Air Quality Standards (AAQS) of 60 ppb (95^th percentile of daily maximum 8-hour averages), O₃ remains a major air quality concern in northern Taiwan. The present study applied machine learning (ML) models, including positive matrix factorization-eXtreme Gradient Boost-SHapely Additive Explanation (PMF-XGB-SHAP), on three years of hourly data to investigate the influence of meteorological parameters, emission sources and other pollutants on O₃ formation at an urban site in Taipei. Then, novel de-pollutant models were developed by controlling the anthropogenic emission factors in the model to quantify the impact of reduction on ambient O₃ levels, and de-weather was applied to assess the impact of meteorological parameters. Findings showed that meteorology contributed 46.7–54.8% and 44.9–54.0% to daytime and nighttime O₃ levels, respectively, with relative humidity (RH) and boundary layer height (BLH) as dominant influencing factor. Among pollutants, NO_X displayed a consistent negative association, while PM_2.5 showed a positive relationship with daytime O₃ levels. The association between vehicular VOCs and O₃ varied across years, reflecting changes in traffic patterns. Furthermore, de-pollutant analysis demonstrated that simultaneous 50% reductions in CO, SO₂, and VOCs from industrial emissions could lower O₃ concentrations by 13.4–22.6% during pollution episode days. By providing a quantitative, source-specific pathway for precursor control, the de-pollutant modelling approach establishes a framework for air quality management in other regions grappling with complex, multi-source ozone pollution.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"19 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144521069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PFAS in the Buzz: Seasonal Biomonitoring with Honey bees (Apis mellifera) and Bee-collected Pollen","authors":"Viktoria Müller, Jörg Feldmann, Eileen Prieler, Robert Brodschneider","doi":"10.1016/j.envpol.2025.126750","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126750","url":null,"abstract":"Per- and polyfluoroalkyl substances (PFAS) are emerging environmental contaminants with known persistence, bioaccumulation potential, and ecotoxicological relevance. This study investigates the occurrence, distribution, and potential exposure pathways of PFAS in honey bee-related matrices (pollen, forager bees, hive bees). Samples were collected from six sites over a full season representing diverse land uses (urban, semi-urban, rural, and agricultural). A total of nine different PFAS were detected across 90 samples, with short-chain compounds such as 4:2 FTS, PFPS, and PFBS predominating. Hive bees exhibited the highest average sum of target PFAS concentration (5.29 ng g^ꟷ1), followed by forager bees (1.93 ng g^ꟷ1), and pollen (1.10 ng g^ꟷ1). Differences in PFAS occurrence among sample types, especially PFPS between forager and hive bees, suggested various exposure routes, including pollen ingestion, atmospheric deposition, and contact with contaminated surfaces. Temporal and spatial differences were notable. Site-specific PFAS patterns highlighted potential contamination sources, such as fluorinated pesticide use, while seasonal variation suggested influence from plant phenology and rainfall. Principal component analysis (PCA) confirmed the dominance of shared PFAS profiles, with some outlier samples exhibiting unique signatures. PFPS and PFBS were positively correlated with total fluorine (TF) concentrations, while 4:2 FTS showed a strong site-specific association. Extractable organic fluorine (EOF) remained below detection limits (800 ng F g^ꟷ1), but TF was present in all samples above LOD (500 ng F g^ꟷ1) confirming the presence of additional unidentified fluorinated compounds. Although EOF and PFAS concentrations varied, we showed that forager bees can introduce PFAS in the hive, either on their bodies, or through contaminated resources such as nectar or pollen. These findings demonstrate the suitability of honey bees as bioindicators for PFAS contamination but emphasise the need for harmonised sampling to fully assess PFAS exposure dynamics.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"70 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144520782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing PAH Contamination in Brazilian Urban Soils: Eco-Friendly Microextraction for Source Identification and Risk Evaluation","authors":"Jhonatan Bispo de Oliveira, Helvécio Costa Menezes, Patterson Patrício de Souza, Zenilda de Lourdes Cardeal","doi":"10.1016/j.envpol.2025.126745","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126745","url":null,"abstract":"Polycyclic aromatic hydrocarbons (PAHs) are considered persistent organic pollutants that have a significant impact on the environment and human health. This study investigates PAH contamination in soils across various land use areas in Divinópolis, Brazil, using a novel analytical approach that integrates direct immersion solid-phase microextraction (DI-SPME) with a hydrophilic microporous cartridge (HMCart) and comprehensive two-dimensional gas chromatography (GC×GC/FID) for enhanced detection and quantification. The HMCart-DI-SPME method combined with GC×GC/FID demonstrated outstanding analytical performance, achieving low detection limits (1.0–6.8 μg kg^-1), high recoveries (93.67–109.67%), and good precision (6.16–15.76% RSD). The ΣPAH ranged from 141.77 to 1133.07 μg kg^-1, with the highest levels observed in industrial areas, surpassing 800 μg kg^-1. Benzo[a]pyrene equivalent (BAPeq) values ranged from 63.95 μg kg-¹ in most samples to 691.79 and 814.40 μg kg^-1 in industrial areas, exceeding the safety threshold of 210 μg kg^-1. Source apportionment analysis revealed a predominance of petrogenic PAHs in commercial and residential areas, whereas industrial areas showed a strong pyrogenic signature, primarily related to fossil fuel combustion and textile industry activities. Isomeric ratios, multivariate analysis and Positive Matrix Factorization (PMF) model confirmed the spatial variation of PAH sources and highlighted the anthropogenic influence on contamination levels. The results emphasize the importance of continuous monitoring of PAH pollution in urban-industrial environments and validate the HMCart approach as a sustainable and effective alternative for forensic environmental analysis.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"53 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144520836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term Organic Fertilization Shields Soil Prokaryotes from Metal Stress While Mineral Fertilization Exacerbates It.","authors":"Aleksandra Pieńkowska, Jenin Fleischmann, Sören Drabesch, Ines Merbach, Gennuo Wang, Ulisses Rocha, Thomas Reitz, E. Marie Muehe","doi":"10.1016/j.envpol.2025.126747","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126747","url":null,"abstract":"Metal contamination in agricultural soils threatens prokaryote dynamics essential for soil health and crop productivity. Yet, whether fertilization in the long-run affects their resilience to metals remains unclear. This study examined the biogeochemical impacts of realistically low-dose applications of cadmium, zinc, and lead in soils subjected to 119 years of non-fertilization, mineral-fertilization (NPK), organic-fertilization (manure), or combined mineral-organic fertilization. Amended metals remained in the mobile fraction with the order: mineral&lt;unfertilized&lt;mineral+organic&lt;organic, mirroring the effects on soil prokaryotes. In both unfertilized and mineral-fertilized soils, 16S rRNA gene copy numbers declined by 30% upon metal addition, but recovery timing differed: in unfertilized soil, recovery began after three days, whereas in mineral-fertilized soil, numbers declined until day seven before recovering. This coincided with an increase in metal-resistant taxa, particularly in mineral-fertilized soil, with 10 significantly affected OTUs, and to a lesser extent in unfertilized soil, with 5 affected OTUs. Carbon-, nitrogen-, and phosphorus-mining enzyme activities increased 50 to 100% in mineral-fertilized soils, suggesting enhanced nutrient acquisition to mitigate metal toxicity. In contrast, organic-fertilized soil hosted stable enzymatic activities and microbial copy numbers with minimal community shifts (1 affected OTU), indicating greater resistance to metal amendment. Combined mineral-organic fertilization stabilized copy numbers and enzymatic activity upon metal amendment, but 8 OTUs were affected, including specialized nutrient cyclers, suggesting increased availability of previously adsorbed NPK cations. Our findings indicate that organic fertilization shields prokaryotes from metal stress, while mineral fertilization exacerbates it, highlighting the benefits of organic practices for maintaining soil health and productivity.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"27 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144520894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accelerated prediction of molecular properties for per- and polyfluoroalkyl substances using graph neural networks with adjacency-free message passing","authors":"Hector Medina, Rachel Drake, Carson Farmer","doi":"10.1016/j.envpol.2025.126705","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126705","url":null,"abstract":"The molecular contaminant chemical space is vast, necessitating the development of methods and tools to accelerate the computation of molecular properties, study interactions, and ultimately aid to the engineering of technological solutions for environmental remediation and exposome reduction. Graph neural networks (GNNs) offer a promising approach due to their structural similarity to molecular graphs and their ability to learn complex relationships through graph-based structures. However, GNN-based model training can be computationally expensive, especially for large molecular datasets. In this work, we evaluated the predictive performance of a novel Graph-Enhanced multilayer perceptron (GE-MLP) on molecular properties of per- and polyfluoroalkyl substances (PFAS), and compared it against the performances of two traditional GNN-based architectures, namely Graph Convolutional Networks (GCN) and Graph Attention Networks (GAT). The GE-MLP architecture, which incorporates structural information into a dense neural network framework, was trained on and validated on a dataset of 15,000 PFAS, generated using tight-binding methods, and calibrated against experimental results. The targeted properties were electron affinity (EA), ionization potential (IP), and HOMO-LUMO gap (HL). In contrast to traditional graph-based architectures, GE-MLP offers the advantages of processing molecular fingerprints and node-level descriptors in a purely feedforward manner, embedding structural information using molecular fingerprints and node-level descriptors in place of adjacency-based message passing. Our findings reinforce the usefulness of graph-based architectures in predicting molecular properties of complex contaminants such as PFAS, as compared against traditional machine learning (ML) models. Furthermore, the GE-MLP emerged as a strong GNN-based contender, demonstrating the highest predictive performance for IP,suggesting that integrating structural information via atomic and fingerprint based molecular descriptors into dense neural networks offers a viable alternative to adjacency-based message passing methods. Finally, our GE-MLP provides a computationally efficient alternative to other GNN-based methods due to savings in model training, offering a scalable, message-passing-free approach to molecular property prediction while retaining structural awareness. Future work includes the expansion of the data set to 3.5 million fluorinated compounds to improve generalization, as well as architectural improvements that include transfer learning, topological embeddings, and hybrid models to further advance predictive accuracy and applicability.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"47 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144520780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unsupervised SAM segmentation of zebrafish body: Application to melanin analysis","authors":"Yuan Meng, Jing-Xuan Zhou, Yu-Ting Yang, Xing-Peng Wei, Si-Yu Li, Hong-Gang Ni","doi":"10.1016/j.envpol.2025.126751","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126751","url":null,"abstract":"Zebrafish have always been a valuable model for studies on human health. Their transparency makes it highly suitable for observing melanin synthesis. Moreover, their high genetic similarity to humans facilitates the study of human diseases, including pigmentation disorders. However, accurate quantification of melanin in zebrafish is essential for determining the efficacy of inhibitors. This study investigated melanin content in zebrafish exposed to varying concentrations of 1-phenyl 2-thiourea (PTU) and α-Arbutin. To improve the accuracy and reduce the manual effort associated with melanin quantification, we employed the emerging Segment Anything Model (SAM) for unsupervised image segmentation of zebrafish. The model demonstrated high accuracy, achieving 100% in generating body masks that delineate the zebrafish body and 96.7% in automatically selecting appropriate masks. Melanin content was then calculated by pixel-level integration within these masks. Overall, melanin synthesis is inhibited with the increase in inhibitor concentration. This approach enables more precise quantification while minimizing manual effort. The proposed method produces quantitative results comparable to existing methods, while offering a simpler and more precise approach.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"51 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144516244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Presence and accumulation of pharmaceutical compounds in agricultural soils receiving six years of biosolids applications","authors":"W. Shu, G.W. Price, K. Khosravi, C.D. Metcalfe","doi":"10.1016/j.envpol.2025.126736","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126736","url":null,"abstract":"The use of biosolids derived from municipal wastewater treatment sewage solids in agriculture has raised concerns regarding the presence and potential accumulation of contaminants of emerging concern (CEC) in soils. This study investigated the influence of six consecutive years of applications of an alkaline treated biosolid (ATB) in an agricultural field on the concentrations of seven pharmaceutical compounds considered as CECs including, carbamazepine (CBZ), caffeine (CAF), dimethylxanthine (DMX), norfloxacin (NOR), gemfibrozil (GEM), diclofenac (DIC), and warfarin (WAR). Soils from a research site receiving annual ATB application rates (0, 14, and 42 Mg ha^-1) over six years (2009-2014) were analyzed for the target pharmaceuticals. Soil samples were analyzed using a combination of accelerated solvent extraction, solid phase extraction (SPE), and liquid chromatography with mass spectrometry (LC-MS). CEC concentrations increased significantly (p &lt; 0.05) with ATB application rate, with CBZ, CAF, and NOR reaching maximum concentrations of 35.2, 41.6, and 47.9 ng g^-1, respectively, in the highest application rate plots. Seasonal changes in CEC concentrations were measured, with an increase directly after application of biosolids but significant reductions at post-harvest. Incremental increases in target CEC concentrations were observed in the soils at the post-application and post-harvest sampling periods over the six years. The findings highlight the need for comprehensive management strategies to mitigate potential risks associated with the presence of biosolids derived CECs in agricultural soils.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"49 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144516242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drying-Rewetting Legacy Mitigates Freezing-Thawing Effects on Soil Microbial Communities and Greenhouse Gas Emissions in Plateau Riparian Wetlands","authors":"Lin Ma, Yongtai Pan, Hui Liu, Guihua Liu, Wenzhi Liu","doi":"10.1016/j.envpol.2025.126753","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126753","url":null,"abstract":"Climate change intensifies compound disturbances in soil ecosystems, yet how legacy effects from prior events shape microbial responses to subsequent stresses remains poorly understood. Here, we investigated the legacy effects of drying-rewetting (DW) and freeze-thaw (FT) on greenhouse gas (GHG) emissions and microbial community dynamics across riparian wetlands of the Tibetan Plateau with distinct land-use histories (urban, grazing, and natural). The results showed that urban soils consistently amplified CO₂ emissions compared to grazing and natural lands, whereas natural soils exhibited a pronounced decline in fungal ITS gene abundance, contrasting with the resilience observed in urban and grazing counterparts. Notably, sequential DW-FT perturbations triggered cross-stress mitigation, reducing CO₂ emissions and enriching Actinobacteria—a bacterial phylum negatively correlated with cumulative CO₂ release. Concurrently, DW legacies drove the taxonomic restructuring of fungal communities, favoring the dominance of Ascomycota in natural soils subjected to subsequent FT cycles. Prior DW exposure uniquely amplified the relative abundance of bacterial amplicon sequence variants (ASVs) under FT fluctuations, while standalone FT legacies lacked comparable regulatory capacity. Furthermore, in bacterial co-occurrence networks exposed to two DW cycles, an incomplete cluster emerged, indicating short-term adaptation via compartmentalization. Fungal clusters under FT cycles exhibited simplified co-response patterns but activated mutualism. Our study demonstrates that DW/FT legacy effects on GHG emissions and microbial communities are land-use dependent; DW legacies mitigate FT-induced microbiome disruptions in plateau riparian soils, with fungi showing heightened sensitivity to FT and bacteria displaying adaptability to DW, highlighting taxon-specific responses to compound disturbances.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"19 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144520783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}