环境科学与生态学最新文献

{"title":"Integrated computational and in vivo evidence prioritizes MYH6 as a candidate node in PFOS-associated HCM-like cardiac remodeling.","authors":"Hao Gao, Li Ma, Shiyi Tan, Xulei Zuo, Wei Wang, Linlin Zhang, Qin Ding, Rongli Sun, Yuepu Pu, Juan Zhang","doi":"10.1016/j.envpol.2026.128925","DOIUrl":"10.1016/j.envpol.2026.128925","url":null,"abstract":"<p><p>Per- and polyfluoroalkyl substances (PFAS), particularly perfluorooctane sulfonate (PFOS), persist in humans and have been associated with cardiovascular outcomes, but cardiac-specific molecular responses remain incompletely characterized. We integrated transcriptomic screening, ensemble machine learning, molecular docking and 100-ns molecular dynamics, cross-species cardiac single-cell atlases with virtual knockout, and a time-stratified mouse exposure study (approximately 5 μg/kg/d for 4-8 weeks) to prioritize candidate molecular nodes associated with PFOS-related cardiac remodeling. Robustness analyses supported the stability of the machine-learning prioritization, and MYH6 was repeatedly selected and enriched in cardiomyocytes across human and mouse atlases. Docking and simulation supported a structurally plausible modeled PFOS-MYH6 complex. In exposed mice, Myh6 expression declined over time as septal asymmetry and interstitial fibrosis increased. Batch docking revealed 11 of 26 PFAS with scores at least as favorable as PFOS, indicating compound-level variation in modeled MYH6 compatibility. Together, the data prioritize MYH6 as a candidate molecular node associated with PFOS-related HCM-like remodeling and integrate these multiscale observations into a testable putative AOP-like hypothesis.</p>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":" ","pages":"128925"},"PeriodicalIF":7.2,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148757005","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":"Diurnal variations of ozone formation sensitivity in southeastern China based on GEMS: Insights from gridded thresholds and machine learning.","authors":"Naihua Chen, Jianyong You, Yuxiang Yang, Yuchao Liu, Jinfeng Zeng, Shuyao Chen, Yi Zhao, Hongkai Xu, Baoye Hu","doi":"10.1016/j.envpol.2026.128966","DOIUrl":"10.1016/j.envpol.2026.128966","url":null,"abstract":"<p><p>Tropospheric ozone (O₃) formation is often limited by NOx, VOCs, or both, necessitating detailed understanding of its spatiotemporal sensitivity for effective control. This study used hourly Geostationary Environment Monitoring Spectrometer (GEMS) data to investigate the diurnal variations of O₃ formation sensitivity over Fujian Province, Southeast China, during the 2024 warm season. GEMS observations reveal pronounced diurnal and spatial heterogeneity in O₃ precursor indicators. Gridded (0.25°) HCHO/NO₂ thresholds for regime transitions were derived from a steady-state O₃-NOx-VOC model with GEOS Composition Forecast (GEOS-CF) simulations. The NOx-Limited transition threshold ( [Formula: see text] ) declines notably from 08:45 to 13:45 LT and is substantially higher in coastal than inland regions. Extreme Gradient Boosting (XGBoost) machine learning with Shapley Additive Explanations (SHAP) analysis indicates that [Formula: see text] is dominantly governed by VOC reactivity (VOCR) across scales. After applying the gridded thresholds, we find that warm season O₃ production across Fujian is predominantly NOx-Limited, with the province-wide fraction rising from ∼71% at 08:45 LT to 92% at 14:45 LT. Inland areas remain NOx-Limited all day, whereas coastal cities display morning VOC-Limited conditions that shrink toward urban cores; many of which stay VOC-Limited during peak photochemistry hours. Thus, in high-emission coastal urban centers, NOx-only controls may be ineffective or counterproductive, requiring prioritized VOC reductions. In contrast, NOx abatement remains a critical priority for inland regions. This work highlights the unique capability of GEMS to resolve diurnal precursor variability and demonstrates that spatially and temporally differentiated control strategies are essential for effective O₃ mitigation in Fujian and similar coastal regions.</p>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":" ","pages":"128966"},"PeriodicalIF":7.2,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148757360","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":"Synergistic and antagonistic interactions of PM_2.5 with high and low temperatures on sperm motility: Evidence from a prospective cohort study.","authors":"Shuo Wang, Wanjing Tan, Mengyao Gao, Wenliang Li, Qinglan Zheng, Rongrong Jiang, Zhe Tong, Hao Wu, Minhao Shao, Huifen Xiang, Yubo Ma","doi":"10.1016/j.envpol.2026.128910","DOIUrl":"10.1016/j.envpol.2026.128910","url":null,"abstract":"<p><p>Given that temperature and fine particulate matter (PM_2.5) may jointly influence semen quality through overlapping biological pathways, including oxidative stress, inflammation, and endocrine disruption, while epidemiological evidence regarding their interaction remains limited, we conducted this study to evaluate their associations and potential interactions. We applied linear mixed models (LMMs) with natural cubic splines to characterize potential nonlinear associations between temperature and semen quality. To further examine whether these associations differed by PM_2.5 exposure levels, we conducted stratified piecewise regression analyses of temperature separately within the higher and lower PM_2.5 exposure groups across the low- and high-temperature segments. Temperature showed inverted U-shaped associations with semen quality during the 0-90, 0-9, 10-14 day exposure windows. Further stratified piecewise regression analyses suggested a synergistic interaction between high temperature and PM_2.5 and an antagonistic interaction between low temperature and PM_2.5, mainly affecting progressive motility and total motility. Our findings suggest that PM_2.5 may modify the association between temperature exposure and sperm quality, particularly progressive motility and total motility, and that the combined effect of high temperature and PM_2.5 warrants further attention in male reproductive health research and prevention.</p>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":" ","pages":"128910"},"PeriodicalIF":7.2,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148757028","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":"Corrigendum to 'Field-calibrated threshold-distance assessment of lead dispersion from controlled lead-acid battery plate combustion' [Environ. Pollut. 408 (2026) 128853].","authors":"Md Shaheduzzaman Roky, Md Hasib Mia, Subroto Kumar, Mst Shahanaz Islam Hira, Shahat Shiddiqe, Mahadi Hasan, Asad Ud-Daula","doi":"10.1016/j.envpol.2026.129111","DOIUrl":"10.1016/j.envpol.2026.129111","url":null,"abstract":"","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":" ","pages":"129111"},"PeriodicalIF":7.2,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148917827","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":"Multi-class urinary antibiotic exposure, dietary sources, and childhood overweight and obesity risk through lipid metabolic disruption: evidence from multicenter cohorts in China.","authors":"Xinli Song, Jieyu Liu, Li Chen, Yi Zhang, Ruolin Wang, Jianuo Jiang, Lan Zhang, Yanle Xiong, Jingyang Su, Ziqi Dong, Yang Qin, Dengcheng Zhang, Zhenting Lu, Zhiying Song, Jinghong Liang, Jun Ma, Yanhui Dong","doi":"10.1016/j.envpol.2026.128907","DOIUrl":"10.1016/j.envpol.2026.128907","url":null,"abstract":"<p><p>Given widespread antibiotic use and residues, this study examined associations of multi-class urinary antibiotic exposure with childhood overweight and obesity (OWOB) risk, identified potential dietary sources, and explored lipidomic signatures and potential indirect effects. We analyzed two cohorts from China: the 4C cohort (Inner Mongolia, 2024; n = 692) for diet-exposure analyses and the CBPEF cohort (Xiamen, 2018/2020; n = 594) for repeated-measures exposure-adiposity and lipidomics analyses. Twenty-four urinary antibiotics across six classes were measured by LC-MS/MS. BMI percentile, OWOB, and untargeted serum lipidomics were assessed, with lipidomics performed in a CBPEF subsample of 73 children. Multi-class antibiotic exposure and co-exposure were common in both cohorts, with >94% of children in the 4C cohort and ≥98% in the CBPEF cohort having at least two detected antibiotics. In the 4C cohort, fish/seafood intake was associated with higher detection of sulfonamides, tetracyclines, and quinolones, with the strongest diet-exposure association observed for seafood intake and sulfonamide detection (OR = 2.17, 95% CI: 1.05-4.48), whereas plant-based intake was inversely associated with total detected antibiotic counts (β = -0.492). In the CBPEF cohort, each additional antibiotic detected was associated with a 0.63-point increase in BMI percentile (95% CI: 0.34-0.92), and each additional human antibiotic detected was associated with 14% higher odds of OWOB (OR = 1.14, 95% CI: 1.04-1.24). Cumulative sulfonamide, quinolone, macrolide, tetracycline, and phenicol counts were positively associated with BMI percentile (β range: 1.15-2.45). Lipidomic analyses identified 102 candidate lipids shared by urinary antibiotic exposure metrics and BMI percentile, with PC1-based indirect-effect signals across multiple antibiotic classes and pathway annotations mainly involving steroid/cholesterol-related metabolism. These findings suggest that contemporary Chinese children and adolescents commonly experience multi-class antibiotic exposure, particularly involving quinolones and macrolides, which may partly reflect dietary and environmental sources and contribute to childhood obesity risk, with lipidomic signatures suggesting involvement of steroid/cholesterol-related metabolism.</p>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":" ","pages":"128907"},"PeriodicalIF":7.2,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148676480","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":"Climate Change Experienced by Life on Earth—Drivers and Mechanisms of Future Trends in Microclimates","authors":"C. Greiser, E. Gril, I. M. D. Maclean, R. Beugnon, P. le Roux, J. Kemppinen, M. W. Rhodes, J. Aalto, D. M. Christiansen, P. De Frenne, S. Haesen, D. Klinges, M. Kopecký, J. Lenoir, M. Luoto, L. M. Mercado, M. Rantanen, G. Strandberg, L. van den Brink, J. Lembrechts, K. Van Meerbeek","doi":"10.1111/gcb.71140","DOIUrl":"https://doi.org/10.1111/gcb.71140","url":null,"abstract":"Microclimate, the climate directly experienced by organisms, is crucial for understanding ecological responses to climate change, yet its long‐term dynamics and the drivers of decadal microclimate changes remain underexplored in ecology and global change biology. Microclimate changes do not necessarily track macroclimate trends. Changes in meteorological conditions (e.g., cloud cover, wind patterns) and vegetation dynamics (e.g., canopy opening, desertification in drylands, shrub encroachment in the tundra) associated with climate change can lead to locally divergent microclimate trends, thereby altering spatial variability. Understanding and quantifying how macroclimate change translates to fine‐scale microclimate change experienced by organisms, populations and communities is therefore essential for predicting ecological responses to global environmental change. This review examines how macroclimate change drives microclimate changes as experienced by life on Earth—and how these micro‐scale changes may, in turn, feed back into the regional and global climate system. Our primary focus is on near‐surface air and soil temperature—due to their relevance to most terrestrial organisms and ecosystem processes. The review is structured around three pathways of microclimate changes: (I) direct effects of changes in meteorological conditions, (II) indirect effects via vegetation changes, and (III) feedbacks between microclimate and climate change. Using three mechanistic model simulations in real‐world landscapes, we illustrate and quantify the key mechanisms that lead to divergent warming trends. We show that microclimate change emerges from interacting atmospheric, land‐surface, and biophysical processes, which can differ substantially across space and time. Predicting future microclimates therefore requires accounting for these processes and their temporal dynamics. By providing an accessible synthesis of these processes, this review aims to strengthen links between ecology and atmospheric science and improve our understanding of how climate change translates into microclimatic conditions relevant to life on Earth.","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"1 1","pages":""},"PeriodicalIF":11.6,"publicationDate":"2026-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149226493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"The Importance, Challenges and Solutions of a Changing Climate for Conserving Migratory Animals and the Ecosystem Services They Provide","authors":"Hannah F. R. Hereward, Madeleine G. Barton, Blaise Martay, James W. Pearce‐Higgins, Kirsty H. Macphie, Sarah E. Scott, James M. Williams, Robert A. Robinson","doi":"10.1111/gcb.71153","DOIUrl":"https://doi.org/10.1111/gcb.71153","url":null,"abstract":"","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"12 1","pages":""},"PeriodicalIF":11.6,"publicationDate":"2026-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149226494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Development of efficient betaine-based natural deep eutectic solvents for metal leaching from waste printed circuit boards.","authors":"Emmanuel Anuoluwapo Oke, Johannes Hermanus Potgieter","doi":"10.1007/s11356-026-38292-9","DOIUrl":"https://doi.org/10.1007/s11356-026-38292-9","url":null,"abstract":"<p><p>The rapid growth of electronic waste has intensified the need for sustainable approaches for metal recovery from waste printed circuit boards (WPCBs). In this study, betaine-based natural deep eutectic solvents (NADES) were developed as lixiviants for metal extraction from WPCBs. Betaine (BET) was used as the hydrogen bond acceptor, while ethane-1,2-diol (ETD), propane-1,2-diol (PPD), and butane-1,2-diol (BTD) served as hydrogen bond donors (HBDs) to investigate the influence of HBD structure on the physicochemical properties and leaching performance of the resulting NADES. Fourier transform infrared spectroscopy (FTIR) indicated intermolecular interactions between BET and the diol-based HBDs, while thermogravimetric analysis/derivative thermogravimetry (TGA/DTG) showed pronounced mass-loss-rate maxima above 240 °C for all three NADES. Rheological measurements revealed Newtonian flow behaviour, with viscosity increasing with increasing diol chain length; BET:ETD exhibited the lowest viscosity (50.1 mPa·s) at 20 °C. Under the experimental conditions of 75 °C, 6 h, 1.0 M H₂O₂, 500 rpm, and a solid-to-liquid ratio of 1:20, BET:ETD achieved leaching efficiencies of 99.3% for Cu, 99.5% for Pb, 97.8% for Fe, 95.4% for Al, 90.5% for Sn, and 73.9% for Ti. Kinetic analysis based on the shrinking core model and activation energy evaluation indicated a mixed-control mechanism involving interfacial reaction and diffusion processes. SEM, XRD, and FTIR analyses further indicated substantial dissolution of metallic phases while the polymeric and glass-fibre matrix was largely preserved. Overall, the results demonstrate that betaine-based NADES, most especially BET:ETD, offer tunable physicochemical properties and effective metal-leaching performance for WPCB recycling.</p>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":" ","pages":""},"PeriodicalIF":5.8,"publicationDate":"2026-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149222988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Spatiotemporal controls of soil Pb distribution and ecological risk in the Qorveh mining region, Western Iran.","authors":"Mahin Saedpanah, Bubak Souri","doi":"10.1007/s10661-026-16074-7","DOIUrl":"https://doi.org/10.1007/s10661-026-16074-7","url":null,"abstract":"<p><p>To investigate the spatiotemporal variability of lead (Pb) in mining environments, 100 topsoil samples were collected from different locations across a semi-arid mining district in western Iran over a 4-month monitoring period, with sampling conducted at different sites in each month. Key explanatory variables, namely, pH, electrical conductivity (EC), soil organic carbon (SOC), zirconium (Zr), and elevation and slope as topographic attributes alongside normalized difference vegetation index (NDVI), were integrated into the Geographic and Temporal Weighted Regression (GTWR) framework. Pb was selected because of its strong association with mining activities, high environmental persistence, and ecological significance. The effectiveness of the GTWR model was evaluated and compared with Ordinary Least Squares (OLS), Geographically Weighted Regression (GWR) and Temporally Weighted Regression (TWR) using multiple statistical evaluation metrics and model-fitting criteria. In addition, the ecological implications of Pb contamination were assessed using the risk quotient (RQ) index. The evaluation metrics demonstrated the superiority of GTWR (R² = 0.79) over the other models. The results indicate that Pb distribution was influenced by geological, geochemical, and biological factors, with Zr showing a predominantly spatially positive association, EC exhibiting spatially variable effects, and NDVI and pH showing relatively stable temporal associations with Pb. Furthermore, RQ values exceeded the ecological threshold throughout the study area, indicating widespread potential ecological risk. Integrating GTWR with ecological risk assessment provides a useful framework for characterizing heterogeneous Pb patterns and supporting the identification of priority areas for environmental monitoring and risk management in mining-affected landscapes.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149222973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Factors influencing surface ozone concentrations in Wuhan: an interpretable machine learning analysis.","authors":"Dong-Yang Yang, Su-Ying Chai, Ji-Xiong Wang, Jiu-Yuan Yu, Zeng-Zeng Yu, Yan Cao, Yi-Yao Wen, Fang Bai, Wei-Hua Zhao, Wei-Jie Guo","doi":"10.1007/s10661-026-16066-7","DOIUrl":"https://doi.org/10.1007/s10661-026-16066-7","url":null,"abstract":"<p><p>Ground-level ozone (O₃) has become a major challenge for air quality improvement in China, but its short-term variability is controlled by complex interactions among pollutant persistence, precursor conditions, and meteorological factors. In this study, hourly air quality observations and ERA5 reanalysis meteorological data for an urban monitoring site in Wuhan during 2019-2025 were integrated to evaluate O₃ temporal variability and interpretable machine learning prediction. Three models, namely, deep neural network (DNN), random forest (RF), and extreme gradient boosting (XGBoost), were compared using baseline and lag-enhanced feature sets, and SHapley Additive exPlanations (SHAP) were used to interpret predictive contributions. O₃ remained at relatively high levels during 2019-2025, with exceedances of the national grade II standard in 2019, 2023, and 2024, while most primary pollutants generally declined. O₃ exhibited a unimodal diurnal cycle with afternoon peaks at 14:00-16:00 and a seasonal pattern of summer > spring > autumn > winter. The enhanced XGBoost model achieved the best short-term prediction performance, with R² = 0.9756 and RMSE = 6.35 μg m^-3 on the test set. SHAP analysis showed that the 1-h lagged O₃ concentration was the dominant predictor, indicating strong short-term persistence rather than independent chemical forcing. NO₂ and lagged NO₂ showed negative predictive contributions, consistent with the expected role of NO titration under high-NOₓ conditions, whereas temperature and radiation-related variables showed positive contributions. These results suggest that interpretable machine learning can help identify the statistical conditions associated with O₃ variability, but the absence of direct VOC observations means that O₃ sensitivity and VOC-related control implications should be further verified using VOC measurements or chemical transport/observation-based modeling.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149223053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}