Environmental Science and Ecotechnology最新文献

{"title":"Habit-locked-in carbon-air-pollutant emissions dominate China's household footprints","authors":"Zhihui Zhang,&nbsp;Huihui Long,&nbsp;Dan Tong,&nbsp;Xuemei Wang,&nbsp;Shaoqing Chen","doi":"10.1016/j.ese.2026.100757","DOIUrl":"10.1016/j.ese.2026.100757","url":null,"abstract":"<div><div>Household consumption is a major driver of global carbon and air-pollutant emissions. As living standards rise, everyday routines become entrenched and reduce the responsiveness of demand to mitigation policies. Consumption-based accounting has traced these burdens through supply chains, yet the scale of emissions that remain locked in by behavioral inertia has stayed poorly quantified. Here we show that locked-in emissions of carbon and air pollutants account for nearly 84% of total household-driven emissions of CO₂, PM_2.5, NO_<em>x</em>, and SO₂ across China, far exceeding the contribution of net consumption growth. Food exhibits the highest locked-in share (approximately 97%), followed by residential expenditure (84–86%). Per-capita habit-locked emissions peak in East and North China, with 32–53% of these emissions originating in the production systems of Nei Mongol and Shandong. Scenario analysis to 2035 reveals that under business-as-usual scenario, habit-locked CO₂ emissions peak around 2030, while habit-locked air-pollutant emissions decline, whereas the deepest and most balanced reductions, 1285 Mt CO₂ together with 218 kt PM_2.5, 729 kt SO₂, and 126 kt NO_<em>x</em>, occur only when carbon-neutrality-oriented policies are paired with attenuated consumption inertia. These findings demonstrate that efficient demand-side synergistic mitigation in China requires systematic substitution of habit-locked carbon and air-pollutant emissions with lower-emission, affordable alternatives.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"33 ","pages":"Article 100757"},"PeriodicalIF":14.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148935697","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":"Poverty-modulated tree equity shapes health burdens across U.S. cities","authors":"Min-Ki Lee,&nbsp;Chang-Bae Lee,&nbsp;Sungyong You,&nbsp;Stephen J. Freedland,&nbsp;Michael R. Freeman","doi":"10.1016/j.ese.2026.100758","DOIUrl":"10.1016/j.ese.2026.100758","url":null,"abstract":"<div><div>Rapid urbanization concentrates both opportunity and health risk across cities worldwide. Although urban green infrastructure is widely promoted for public health, most evidence examines single outcomes or simple area metrics and rarely tests how socioeconomic context modulates the magnitude and pathways of these benefits. Whether tree-canopy equity delivers stronger returns in areas with the highest poverty remains unresolved. Here, we show that poverty-modulated tree equity shapes health burdens across 497 cities in the United States. Socioeconomic disadvantage is the dominant structural driver of eleven physical and mental health outcomes, yet higher Tree Equity Score is consistently associated with lower prevalence; these protective associations are strongest in high-poverty cities, where greening acts partly by mitigating heat and air-pollution hazards, whereas in low-poverty cities direct restorative pathways predominate. Models explain up to 72.6 percent of the variation in poor mental health, and a five-point rise in the Tree Equity Score corresponds to a 2.7–35 percent lower prevalence of multiple conditions. These findings demonstrate that the health returns of urban greening are context-dependent and require equity-focused strategies stratified by city poverty level.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"33 ","pages":"Article 100758"},"PeriodicalIF":14.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148935750","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 intI1 abundance quantifies livestock antimicrobial-resistance risk","authors":"Chengcheng Yao,&nbsp;Liusheng Lei,&nbsp;Wenyan Wang,&nbsp;Lan Jiang,&nbsp;Wenshan Yang,&nbsp;Yaqi Sheng,&nbsp;Zishu Liu,&nbsp;Xun Qian","doi":"10.1016/j.ese.2026.100759","DOIUrl":"10.1016/j.ese.2026.100759","url":null,"abstract":"<div><div>Livestock farming environments are major reservoirs of antimicrobial resistance (AMR), yet scalable genetic indicators that quantitatively capture AMR risk remain limited. The class 1 integrase gene <em>intl</em>1 is a hallmark of class 1 integrons (CL1s), which couple gene capture with horizontal transfer capacity and have emerged as leading candidates. However, their suitability as a direct proxy for livestock-associated AMR risk has not been rigorously tested at scale. Here we show that the abundance of <em>intI</em>1 functions as a robust quantitative indicator of livestock-associated AMR risk. Using a custom Class 1 Integrase Database expanded by 63.5% and integrating 4017 livestock metagenomes, 9625 livestock-derived isolate genomes, and approximately 1.2 million human clinical isolate genomes, we demonstrate that <em>intI</em>1 abundance tracks host- and geography-dependent risk patterns, that livestock CL1s carry compact, conserved resistance-cassette arrays matching clinical spectra, and that nearly all are plasmid-borne, with their efficient dissemination facilitated by Tn402, ISCR, and IS110 family elements. A random-forest model trained on these data predicts global <em>intI</em>1 abundance and associated risk with high accuracy (<em>R</em>² = 0.93), revealing persistent hotspots across Asia, sub-Saharan Africa, and South America over two decades. These findings establish <em>intI</em>1 as a practical, single-platform proxy that can be incorporated into One Health surveillance and early-warning systems.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"33 ","pages":"Article 100759"},"PeriodicalIF":14.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148935696","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":"Asymmetric intensification of heatwave-ozone compound extremes across China at 1 km resolution from 2000 to 2023","authors":"Yuxin Bi,&nbsp;Ruijun Xu,&nbsp;Yi Zheng,&nbsp;Nongping Feng,&nbsp;Jing Wei,&nbsp;Sirong Wang,&nbsp;Lu Luo,&nbsp;Jinying Huang,&nbsp;Kaiwen Zuo,&nbsp;Qiling Wang,&nbsp;Xinzong Zhang,&nbsp;Ziquan Lv,&nbsp;Suli Huang,&nbsp;Xue-Yan Zheng,&nbsp;Hong Sun,&nbsp;Ronghai Deng,&nbsp;Yuewei Liu","doi":"10.1016/j.ese.2026.100761","DOIUrl":"10.1016/j.ese.2026.100761","url":null,"abstract":"<div><div>Compound heatwave and ozone pollution events threaten public health as warming and photochemistry intensify. Yet the internal architecture of these events—how heatwaves and ozone separately influence frequency versus intensity—remains poorly resolved at national scale. Here we show, using 1 km resolution grids across China from 2000 to 2023, that heatwaves dominate the frequency of compound extremes while ozone dominates their intensity, and that this asymmetry strengthened after 2016. Population exposure rose primarily because the events themselves intensified, rather than from population growth. City-level influencing factors proved highly heterogeneous, reflecting local combinations of meteorology, pollution and socioeconomic conditions. These findings uncover an asymmetric architecture of compound risk and identify distinct levers—heat versus ozone—for targeted mitigation under continued warming.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"33 ","pages":"Article 100761"},"PeriodicalIF":14.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148994859","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":"AI links environmental DNA to human health","authors":"Changsheng Guo,&nbsp;Jian Xu,&nbsp;Jiang Chang,&nbsp;Shuping Wang,&nbsp;Xiaowei Zhang","doi":"10.1016/j.ese.2026.100760","DOIUrl":"10.1016/j.ese.2026.100760","url":null,"abstract":"","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"33 ","pages":"Article 100760"},"PeriodicalIF":14.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148935749","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":"Labor mobility buffers cascading supply-chain losses from occupational heat stress","authors":"Qianzi Wang,&nbsp;Qi Zhou,&nbsp;Shen Qu","doi":"10.1016/j.ese.2026.100727","DOIUrl":"10.1016/j.ese.2026.100727","url":null,"abstract":"<div><div>Escalating global temperatures threaten economic stability by worsening occupational heat stress and reducing workforce productivity. Despite advancements in macroeconomic modeling, current risk assessments rely on coarse annual aggregations and ignore internal labor mobility, thereby masking highly unequal sub-national vulnerabilities and underestimating how labor mobility buffers cascading supply-chain losses. Here we present a high-resolution, agent-based dynamic supply chain network model that integrates empirical daily mobility data across 313 Chinese cities to quantify the spatiotemporal cascading economic impacts of occupational heat exposure. We show that annual heat stress costs China 2933.5 billion CNY (2.6% of GDP), with systemic propagation through supply chains driving 59% of these losses. Crucially, labor mobility redistributes risk: net labor inflows into industrialized, high-heat southeastern regions provide a factor-compensation effect that buffers cascading losses by offsetting direct local productivity shocks, saving a net 7.2 billion CNY directly and 24.6 billion CNY indirectly nationwide. Under a 2030 warming scenario (SSP3-7.0), total losses expand 1.6-fold to 4672.9 billion CNY, though integrated multi-level adaptations—combining industrial restructuring with work-hour shifting—can mitigate these future losses by 30%. These findings reveal that demographic mobility dictates the economic geometry of climate vulnerability, highlighting that resilient climate adaptation requires synchronized network-level interventions rather than isolated local policies.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"32 ","pages":"Article 100727"},"PeriodicalIF":14.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13355723/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148424971","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":"Bioelectricity-driven forward osmosis for energy-neutral nutrient and water recovery","authors":"Jinyu Liu,&nbsp;Xiong Bi,&nbsp;Zefang Huang,&nbsp;Bingxin Li,&nbsp;Yichuan Zhu,&nbsp;Lijie Zhang,&nbsp;Wen Zhang,&nbsp;Heyang Yuan","doi":"10.1016/j.ese.2026.100730","DOIUrl":"10.1016/j.ese.2026.100730","url":null,"abstract":"<div><div>Wastewater treatment is shifting from simply removing pollutants to recovering valuable resources. Although membrane and bioelectrochemical technologies are promising tools for this transition, they typically operate independently and rely heavily on external power, limiting their scalability. Here we develop an energy-neutral system that couples electrically assisted forward osmosis (eFO) with a microbial desalination cell (MDC) to autonomously extract nutrients and water recovery from wastewater. Bioelectricity generated from organic oxidation in the MDC (&gt;7.0 mW) directly powers the eFO module (&lt;1.0 mW). This internal energy transfer drives magnesium ion migration to trigger struvite precipitation, boosting nutrient recovery by 184% and water flux by 57% compared to standalone operations. Using a hybrid model to optimize these complex dynamics, our closed-loop design sustains ideal concentration gradients and improves total desalination efficiency by 45%. By eliminating the need for external grids, this self-powered framework offers a practical and scalable blueprint for zero-energy wastewater refineries.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"32 ","pages":"Article 100730"},"PeriodicalIF":14.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148476777","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":"From sustainable development to enduring development: Renewing ecological, social, and human foundations","authors":"Zuyi Xia (Vice Chair and Secretary-General)","doi":"10.1016/j.ese.2026.100725","DOIUrl":"10.1016/j.ese.2026.100725","url":null,"abstract":"","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"32 ","pages":"Article 100725"},"PeriodicalIF":14.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13315770/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148362736","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":"Deep learning decodes multi-horizon dynamics and probabilistic risks of harmful algal blooms","authors":"Ke Yu,&nbsp;Bo Nie,&nbsp;Fengming Zhang,&nbsp;Huan Zhang,&nbsp;Qi Zhou,&nbsp;Renke Wei,&nbsp;Shen Qu","doi":"10.1016/j.ese.2026.100733","DOIUrl":"10.1016/j.ese.2026.100733","url":null,"abstract":"<div><div>Harmful algal blooms are expanding globally across freshwater ecosystems due to climate change and accelerating eutrophication, posing escalating threats to public health and economic stability. Robust early warning requires predictive frameworks that are accurate at hourly resolution, uncertainty-aware, and mechanistically interpretable. Existing process-based models are limited by sparse parameterization, while statistical and deep-learning approaches typically operate at daily resolution, produce only point predictions, and rely on threshold-based classifications or post-hoc explanations that fail to capture high-frequency temporal dynamics or quantify predictive uncertainty, thereby hindering proactive intervention and masking hidden ecological risks. Here we present BloomNet, an intrinsically interpretable deep neural network architecture configured for multi-horizon quantile forecasting, resolves these limitations by integrating future environmental covariates with historical observations from a hyper-eutrophic lake. Evaluated on a four-year hourly record, BloomNet achieves exceptional predictive stability across 24-, 48-, and 72-h horizons (<em>R</em>² up to 0.78, 24-h <em>MAPE</em> = 25.7%), outperforming long short-term memory, Transformer, and temporal convolutional network baselines while circumventing iterative error accumulation. The network's dual-path variable-selection and attention mechanisms decode shifting ecological drivers directly across horizons, revealing a transition from short-term thermal regulation (water temperature weight up to 0.640) to medium-term nutrient governance (total phosphorus weight up to 0.689), while isolating distinct multimodal attention spikes 24h prior to bloom onset. Real-time interpretability further reveals that driver importance and temporal dependencies shift dynamically between bloom-onset and non-bloom states. These probabilistic quantiles establish a graduated, risk-oriented warning protocol that transforms reactive water resource administration into precision ecotechnology.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"32 ","pages":"Article 100733"},"PeriodicalIF":14.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148634381","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":"In-sewer microplastics drive microbial metabolic shifts toward enhanced methanogenesis","authors":"Yaxin Wang,&nbsp;Xiuhong Liu,&nbsp;Zhipeng Zhang,&nbsp;Ruxian Jing,&nbsp;Xiaoyin Zhao,&nbsp;Weipeng Han,&nbsp;Chenduo Huang,&nbsp;Qing Yang","doi":"10.1016/j.ese.2026.100726","DOIUrl":"10.1016/j.ese.2026.100726","url":null,"abstract":"<div><div>Microplastics (MPs) in sewer systems can be transported extensively before entering wastewater treatment plants. Sewer systems harbor complex microbial communities under low-oxygen, sulfide-rich conditions that drive key biogeochemical cycles. These conditions drive microplastic aging, whereas these particles concurrently perturb sewer microbial ecology and metabolic functions. However, the underlying mechanisms of in-sewer microplastic aging and their subsequent impacts on sewer microbiomes remain unclear. Here we show that hydroxyl radicals preferentially attack ester bonds (C–O) in polyethylene terephthalate (PET) and polybutylene adipate terephthalate (PBAT) MPs, increasing surface roughness, reducing particle size, promoting surface oxidation, and ultimately inducing polymer chain scission. Exposure to PET and PBAT MPs at 30–500 particles L⁻¹ intensified oxidative stress, disrupted membrane integrity and permeability, impaired microbial activity, and suppressed sulfide production in a dose-dependent manner. These disruptions coincided with weakened microbial co-occurrence networks and a shift from stochastic toward deterministic community assembly. High doses of PET and PBAT MPs reduced hydrolytic/fermentative bacteria and sulfate-reducing bacteria by up to 63.4% and 49.7%, respectively, while enriching hydrogen-producing acetogenic bacteria and methanogenic archaea by 48.4–67.0%, consistent with reduced sulfidogenic potential and enhanced methanogenic potential. Changes in genes related to antioxidant defense, SOS response, quorum sensing (e.g., <em>sod</em>A, <em>kat</em>G, <em>lex</em>A, and <em>lux</em>S), and redox signaling suggested potential mechanisms of microbial metabolic perturbations aggravated by PET and PBAT MPs. Our results indicate that sewer systems are not passive conduits but active reactors that promote MP aging, and that MPs reshape microbial functions. Microplastic control may therefore help reduce downstream particle pollution and limit perturbations to urban sewage biogeochemistry.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"32 ","pages":"Article 100726"},"PeriodicalIF":14.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13319378/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148370092","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}