Environmental Science and Ecotechnology最新文献

{"title":"Coupled biogenic and soil emissions amplify heatwave-driven secondary pollution","authors":"Peng Wang,&nbsp;Wenxuan Yu,&nbsp;Zhaolei Zhang,&nbsp;Miao Feng,&nbsp;Meng Gao,&nbsp;Chunfeng Tian,&nbsp;Yiheng Wang,&nbsp;Alex Guenther,&nbsp;Yuqiang Zhang,&nbsp;Zhijin Li,&nbsp;Pingqing Fu,&nbsp;Gregory R. Carmichael,&nbsp;Hongliang Zhang,&nbsp;Jianmin Chen,&nbsp;Renhe Zhang,&nbsp;Drew Shindell","doi":"10.1016/j.ese.2026.100720","DOIUrl":"10.1016/j.ese.2026.100720","url":null,"abstract":"<div><div>Global air pollution policies have drastically lowered anthropogenic emissions, yet climate change threatens regional air quality through poorly understood natural feedbacks. Extreme heat accelerates biogenic volatile organic compound and soil nitrogen emissions, fueling ozone and secondary organic aerosol formation. Although standalone impacts of these biogenic sources are documented, chemical interactions between co-elevated vegetation and soil fluxes remain unconstrained. Here we show that a temperature-driven synergistic mechanism between biogenic terpenoids and soil nitrogen emissions severely exacerbated secondary air pollution during China's unprecedented 2022 heatwave. Integrating ground observations, satellite data, and chemical transport modeling, we demonstrate that a massive surge in biogenic terpenoids enhances atmospheric oxidation capacity by generating reactive peroxy radicals. These radicals accelerate the conversion of soil nitric oxide to nitrogen dioxide without consuming ozone, driving a 21% regional ozone increase across the Yangtze River Basin and boosting secondary organic aerosol loads by up to 4 μg m⁻³. These findings reveal a potent natural feedback loop that counteracts anthropogenic mitigation gains, underscoring the necessity of integrating coupled ecological dynamics into future climate adaptation and pollution control strategies.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"32 ","pages":"Article 100720"},"PeriodicalIF":14.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13355211/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148424992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decade-scale contrasts in sediment metal(loid)s across Qinghai–Xizang Plateau lakes","authors":"Jun Chen,&nbsp;Ziyao Zhou,&nbsp;Libo Chen,&nbsp;Chengshuo Hua,&nbsp;Xuebin Lu","doi":"10.1016/j.ese.2026.100723","DOIUrl":"10.1016/j.ese.2026.100723","url":null,"abstract":"<div><div>Lake sediments on the Qinghai–Xizang Plateau capture shifting metal(loid) dynamics within an alpine ecosystem uniquely vulnerable to climate change and anthropogenic pressures. However, plateau-wide ecological risk assessments incorporating quantitative source apportionment remain scarce, leaving a critical gap that hinders targeted ecosystem conservation and precise policy interventions. Here we present a plateau-scale analysis of sediment geochemistry across 110 lakes over two decadal periods (2014 and 2024), utilizing a hybrid positive matrix factorization–random forest framework. Arsenic serves as the primary diagnostic sentinel, persistently exceeding baseline thresholds across both decades. Although mean chromium concentrations declined from 85.7 to 68.0 mg kg⁻¹, the broader multi-metal pool exhibits remarkable regional stability, with low baseline ecological risks dominated by cadmium toxicity alongside localized high-risk anomalies in Lakes Tosu, Gahai, and Xiligou. Hybrid source apportionment demonstrates that a mixed footprint of transport emissions, transboundary atmospheric influx, and lithogenic weathering increasingly drives geochemical variance, surging from 44% to 66% over ten years, whereas the independent arsenic source remains invariant at approximately 15%. These patterns reveal that while natural weathering constrains the regional background, localized anthropogenic signatures are rapidly intensifying around emerging infrastructure corridors. This predictive framework establishes a transferable template for tracking contaminant dynamics in vulnerable alpine headwaters, providing a vital baseline for targeted, source-specific mitigation globally.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"32 ","pages":"Article 100723"},"PeriodicalIF":14.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13311183/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148353890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disturbance intensity shapes universal and context-dependent functional traits in anaerobic microbiomes","authors":"Abeed F. Mohidin,&nbsp;Soheil A. Neshat,&nbsp;Ezequiel Santillan,&nbsp;Stefan Wuertz","doi":"10.1016/j.ese.2026.100729","DOIUrl":"10.1016/j.ese.2026.100729","url":null,"abstract":"<div><div>Trait-based frameworks, notably Grime's competitor–stress-tolerant–ruderal theory, offer a powerful lens for predicting how environmental fluctuations govern community structure. Yet, classical ecological models assume environments combining extreme stress and intense disturbance are non-viable for sustained colonisation, leaving a critical bottleneck in our ability to predict how microbial systems withstand compounded operational pressures. This gap severely hinders the predictive management of engineered microbiomes critical for global waste-to-energy conversion. Here we extend the application of classic ecological frameworks by demonstrating that anaerobic digester microbiomes deploy distinct, predictable life-history strategies across a 182-day compounded gradient of biomass turnover and organic loading. High-intensity single-event disturbances drive severe volatile fatty acid accumulation (propionate reaching 2,955 mg L⁻¹), selectively shifting the microbiome toward stress-tolerant and stress-tolerant–ruderal strategies. Traits associated with ribosome function, molecular chaperones, and enzymatic reactive oxygen species detoxification were particularly enriched under highly disturbed conditions. Conversely, intermediate regimes were associated with ruderal strategies that prioritise rapid growth over resource-uptake efficiency, dropping total chemical oxygen demand removal to 41%. Cross-system comparisons encompassing anaerobic digestion, activated sludge, and soil ecosystems, revealed both universal and context-dependent ecological traits. Survival-associated traits linked to cell maintenance and repair, protective mechanisms, and cell motility were universally associated with stress-tolerant or ruderal strategies across ecosystems, whereas nutrient transport and metabolic traits exhibited greater context dependency. These insights establish a gene-resolved framework that reconciles microbial trait selection with ecological theory, providing a roadmap to engineer microbiome resilience against process failures.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"32 ","pages":"Article 100729"},"PeriodicalIF":14.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13355828/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148424943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reply to: Beyond carbon sequestration: The critical oversight of emission avoidance in restoration of wetland ecosystems","authors":"Csaba Tölgyesi,&nbsp;Nándor Csikós,&nbsp;Vicky M. Temperton,&nbsp;Elise Buisson,&nbsp;Fernando A.O. Silveira,&nbsp;Caroline E.R. Lehmann,&nbsp;Péter Török,&nbsp;Zoltán Bátori,&nbsp;Ákos Bede-Fazekas","doi":"10.1016/j.ese.2026.100721","DOIUrl":"10.1016/j.ese.2026.100721","url":null,"abstract":"","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"32 ","pages":"Article 100721"},"PeriodicalIF":14.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13285710/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148309624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global microplastic pollution poses a disproportionate reproductive threat to critically endangered marine fishes","authors":"Chunhui Liu,&nbsp;Xiangang Hu,&nbsp;Ruiqi Wang,&nbsp;Xiaofan Li,&nbsp;Peng Deng,&nbsp;Qian Qu","doi":"10.1016/j.ese.2026.100732","DOIUrl":"10.1016/j.ese.2026.100732","url":null,"abstract":"<div><div>Microplastic pollution is ubiquitous across the global ocean, threatening marine ecosystems. While environmental baselines often treat contamination as a temporally uniform stressor, the reproductive period represents the most physiologically vulnerable window in the life cycle of marine fishes. However, it remains unknown how seasonal reproductive aggregations spatiotemporally interact with microplastic accumulation hotspots and vector-driven co-contaminants at a global scale. Here we show that the spatiotemporal overlap between peak spawning and pollution intensity poses a disproportionate threat to marine fish communities, particularly critically endangered species. Integrating 6327 seawater microplastic observations and reproductive traits of 992 species across 65 large marine ecosystems, we reveal that microplastic-mediated vector effects for polycyclic aromatic hydrocarbons and perfluorooctane sulfonate peak precisely during the critical spring spawning window, amplifying synergistic bio-risks by up to 42.3%. This reproductive-period vulnerability is exacerbated by climate-driven warming and hypoxia, which synergistically maximize microplastic bioconcentration factors, leading critically endangered fishes to endure compound vector exposures nine times higher than least-concern taxa. With 7.8% of global critical spawning grounds currently exceeding ecological safety thresholds, these findings fundamentally challenge existing static conservation paradigms. Explicitly incorporating these seasonal life-cycle dimensions into global marine management is imperative to safeguard threatened biodiversity and fisheries sustainability.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"32 ","pages":"Article 100732"},"PeriodicalIF":14.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13396896/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148585332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plastic particle risk is shaped by transformation history","authors":"Swaroop Chakraborty","doi":"10.1016/j.ese.2026.100731","DOIUrl":"10.1016/j.ese.2026.100731","url":null,"abstract":"","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"32 ","pages":"Article 100731"},"PeriodicalIF":14.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148476780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anthropogenic disturbance decouples coastal soil organic carbon and bulk density","authors":"Feixue Shen,&nbsp;Lin Yang,&nbsp;Xiuqiang Peng,&nbsp;Dianpeng Li,&nbsp;Chenconghai Yang,&nbsp;Yue Pu,&nbsp;Mao Guo,&nbsp;Yuru Yan,&nbsp;Chenghu Zhou","doi":"10.1016/j.ese.2026.100728","DOIUrl":"10.1016/j.ese.2026.100728","url":null,"abstract":"<div><div>Coastal blue carbon ecosystems play a pivotal role in mitigating global climate change through rapid sediment burial and efficient carbon preservation. However, accurate carbon accounting is severely hindered by the systematic neglect of soil bulk density (BD) variations and the uncritical reliance on terrestrial-derived pedotransfer functions, masking hidden uncertainties in regional carbon stock assessments. Here we present a high-resolution, multi-depth assessment of soil organic carbon (SOC) content and BD across a 1-m vertical gradient in the intensively managed coastal zone of Jiangsu Province, China. Machine learning frameworks reveal a striking spatial and vertical decoupling between SOC and BD driven by divergent environmental controls: SOC content responds to soil depth and ocean salinity, whereas BD aligns with hydro-geomorphic distance to the coast. Vegetation mediates a tight vertical negative coupling (<em>p</em> &lt; 0.001) in natural salt marshes, whereas anthropogenic activities decouple this relationship in croplands, restricting standard pedotransfer function predictability in all layers (<em>R</em>² ≤ 0.22). Across all layers, conventional spatial estimation models yield high baseline prediction uncertainty (<em>RMSE</em> = 0.22 g cm⁻³). These findings demonstrate that independent, high-resolution BD profiling is indispensable for valid blue carbon verification. Our results establish a transferable baseline to optimize depth-specific sampling and refine global coastal carbon accounting models under intensifying human pressures.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"32 ","pages":"Article 100728"},"PeriodicalIF":14.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13355218/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148424932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cross-sector deep learning scales life cycle assessment using unified textual descriptions","authors":"Kai Zhao,&nbsp;Biao Luo,&nbsp;Xiting Peng,&nbsp;Zhu Deng,&nbsp;Peng Zhang,&nbsp;Chen Li,&nbsp;Tao Liu,&nbsp;Xiaonan Wang,&nbsp;Zhijun Gui,&nbsp;Shanying Hu","doi":"10.1016/j.ese.2026.100724","DOIUrl":"10.1016/j.ese.2026.100724","url":null,"abstract":"<div><div>Life cycle assessment (LCA) is a foundational framework for quantifying global environmental impacts to guide decarbonization and circular economy transitions. Yet, conventional inventory compilation remains severely bottlenecked by data scarcity and intensive manual curation, with existing machine learning solutions typically confined to isolated industrial sectors rather than offering a scalable way to overcome these limitations. This fragmentation prevents pan-industrial scaling, thereby masking hidden environmental risks and hindering rapid, data-driven sustainability interventions. Here we develop LCA-TextNet, a generalizable deep learning framework that bypasses domain-specific feature engineering by predicting 25 life cycle impact indicators across 20 distinct industrial sectors directly from knowledge-based textual descriptions. Leveraging a Transformer-based architecture trained on over 16,000 datasets, the model maps high-dimensional text embeddings into uniform semantic spaces, achieving high accuracy (<em>R</em>² &gt; 0.8) across 70% of sectors. Crucially, integrating application-domain stratification with an incremental learning strategy successfully mitigates distribution shifts during cross-version database validation, slashing climate change mean absolute error by 70%, from 2.0 to 0.6 kg CO₂-equivalent per unit. By exploiting the widespread asymmetry between ubiquitous descriptive text and scarce inventory metrics, this framework establishes a scalable paradigm that transforms textual knowledge into rapid, pan-industrial environmental intelligence to accelerate green transitions.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"32 ","pages":"Article 100724"},"PeriodicalIF":14.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13312156/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148353834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global data–water symbiosis reduces AI infrastructure's carbon and water footprint","authors":"Aijie Wang ,&nbsp;Congchao Zhang ,&nbsp;Tiefu Xu ,&nbsp;Dragan Savic ,&nbsp;Jingjing Jiang ,&nbsp;Peng Xiao ,&nbsp;Chuan He ,&nbsp;Yu Tao ,&nbsp;Glen Daigger ,&nbsp;Nanqi Ren","doi":"10.1016/j.ese.2026.100702","DOIUrl":"10.1016/j.ese.2026.100702","url":null,"abstract":"<div><div>Data centres support artificial intelligence (AI) development but place rapidly increasing demands on electricity and freshwater resources, with cooling representing a significant portion of their total energy consumption. Wastewater treatment plants (WWTPs) discharge large volumes of treated effluent with substantial cooling potential; however, their integration with data centre infrastructure has not been evaluated. Here we construct a global geodatabase of over 4775 data centres and 57,547 municipal WWTPs across 98 countries, integrating spatial analysis, engineering systems modelling, optimisation, and life-cycle assessment to quantify the benefits of combining treated water reuse with bidirectional thermal recovery. The analysis reveals a strong global spatial co-occurrence between data centres and WWTPs, enabling optimized national-scale pairings in which treated effluent is used for data centre cooling and the return heat is recovered to support sludge drying and anaerobic digestion. This symbiotic approach reduces greenhouse gas emissions by approximately 84 million tonnes of CO₂ equivalent annually, conserves approximately 1300 million m³ of freshwater, and provides net annual cost savings of approximately US$95.4 billion. The greatest mitigation and water-saving potential lies in the United States, Japan, China, the Netherlands, and the United Kingdom. These findings establish data–water symbiosis as a readily scalable infrastructure solution that decouples AI from its carbon and water footprints. WWTPs are poised to evolve from disposal facilities into critical energy-coupling hubs, enabling efficient thermal and water exchange across urban systems and accelerating progress towards multiple Sustainable Development Goals.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"31 ","pages":"Article 100702"},"PeriodicalIF":14.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147802982","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":"Plastic leachates drive conjugative transfer of antibiotic resistance genes","authors":"Yongsheng Chen ,&nbsp;Kaiqiang Yu ,&nbsp;Yuhong Sun ,&nbsp;Yuxi Yan ,&nbsp;Gege Yin ,&nbsp;Junjian Wang ,&nbsp;Xia Li ,&nbsp;Song Tang ,&nbsp;Paul Pronyk ,&nbsp;Yu Xia","doi":"10.1016/j.ese.2026.100705","DOIUrl":"10.1016/j.ese.2026.100705","url":null,"abstract":"<div><div>Plastic pollution pervades aquatic ecosystems worldwide, releasing leachates that interact intimately with microbial communities. Antibiotic resistance genes (ARGs) disseminate rapidly through horizontal gene transfer via plasmid conjugation, posing a severe and accelerating threat to public health and environmental stability. While microplastic particles are known to promote ARG exchange within biofilms, the influence of soluble chemical leachates derived from degrading plastics has remained unclear. Here we show that photodegraded leachate from polyvinyl chloride (PVC)—a widely used material in water infrastructure—substantially enhances conjugative transfer of ARGs in both laboratory model systems and natural aquatic microbiomes. Exposure increased transconjugant abundance up to 26.4-fold and conjugation efficiency up to 44.6-fold, with non-monotonic responses modulated by leachate concentration and microbial community diversity. Characterization of the leachate revealed high proportions of biolabile dissolved organic matter alongside additives; mechanistic assays demonstrated that these effects arise through elevated intracellular reactive oxygen species (21% increase), activation of the SOS response and DNA-repair pathways, increased extracellular protein production facilitating cell–cell contact, and compensatory adjustments in the electron transport chain that maintain ATP homeostasis. These results demonstrate that plastic leachates act as potent but previously overlooked facilitators of ARG dissemination beyond the physical effects of microplastics. Our findings reveal a critical synergy between plastic pollution and the global antimicrobial-resistance crisis, underscoring the urgent need for targeted regulations on plastic additives and degradation products in aquatic systems.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"31 ","pages":"Article 100705"},"PeriodicalIF":14.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147859092","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}