Environmental Research最新文献

{"title":"Longitudinal zonation and hydrothermal variation jointly influence the bacterioplankton community assembly in peatland rivers in the Tibetan plateau.","authors":"Zhiwei Li, Pengzhan Li, Jiahao Zhang, Xiongdong Zhou, Shimin Tian","doi":"10.1016/j.envres.2025.123000","DOIUrl":"10.1016/j.envres.2025.123000","url":null,"abstract":"<p><p>Hydrothermal variation reshapes bacterioplankton assembly processes, thereby altering carbon mineralization, sequestration, and overall dynamics across the climate-sensitive Tibetan Plateau. Yet the role of longitudinal zonation along the river continuum in influencing these processes remains poorly understood. Here, we analyzed 16 S rRNA gene sequences from 24 river sections in the Zoige Basin-the largest peatland on the Tibetan Plateau-under contrasting hydrothermal regimes (cold-dry vs. warm-wet). We examined taxonomic diversity, community composition, and assembly processes across different longitudinal zones (upstream vs. downstream). Upstream (stream orders 1-3) communities exhibited significantly higher α-diversity (Shannon-Wiener Index H' = 4.73 ± 1.19) and β-diversity (Bray-Curtis dissimilarity d_BC = 0.27 ± 0.07), and showed stronger sensitivity to precipitation and water temperature. In contrast, downstream (stream orders 4-6) communities displayed lower diversity (H' = 3.15 ± 0.64, d_BC = 0.44 ± 0.13), primarily influenced by total organic carbon. Stochastic processes dominated community assembly (57.5 %-91.9 %), with dispersal limitation prevailing upstream (37.9 %-60.4 %) and homogeneous dispersal being more pronounced downstream (54.5 %-71.2 %). Warmer and wetter conditions enhanced upstream network interactions and increased the contribution of deterministic processes from 24.4 % to 42.5 %. Among 90 core taxa identified, 64.4 %-predominantly Pseudomonadota-exhibited significant preferences for lower total organic carbon, higher mean monthly precipitation, and lower water temperature. These findings highlight the joint influence of bacterioplankton communities by longitudinal zones and hydrothermal regimes, and suggest that the pronounced sensitivity of upstream communities provides important insights into climate-driven variations in ecosystem functioning and informs biodiversity conservation in peatland river ecosystems.</p>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":" ","pages":"123000"},"PeriodicalIF":7.7,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145231133","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 “Subchronic inhalation exposure to ultrafine particulate matter alters the intestinal microbiome in various mouse models” [Environ. Res. 248 (2024) 118242]","authors":"Candace Chang ,&nbsp;Rajat Gupta ,&nbsp;Farzaneh Sedighian ,&nbsp;Allen Louie ,&nbsp;David M. Gonzalez ,&nbsp;Collin Le ,&nbsp;Jae Min Cho ,&nbsp;Seul-Ki Park ,&nbsp;Jocelyn Castellanos ,&nbsp;To-Wei Ting ,&nbsp;Tien S. Dong ,&nbsp;Nerea Arias-Jayo ,&nbsp;Venu Lagishetty ,&nbsp;Mohamad Navab ,&nbsp;Srinivasa Reddy ,&nbsp;Constantinos Sioutas ,&nbsp;Tzung Hsiai ,&nbsp;Jonathan P. Jacobs ,&nbsp;Jesus A. Araujo","doi":"10.1016/j.envres.2025.122855","DOIUrl":"10.1016/j.envres.2025.122855","url":null,"abstract":"","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"286 ","pages":"Article 122855"},"PeriodicalIF":7.7,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217200","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":"Photodegradation of methylene blue using carbonized bagasse doped with cerium oxide nanoparticles","authors":"Saul A. Aguilar-Maruri ,&nbsp;Raúl Ocampo-Pérez ,&nbsp;Lourdes Ramos-Galicia ,&nbsp;Virginia Collins-Martínez ,&nbsp;Gabriela Palestino ,&nbsp;Noriaki Sano","doi":"10.1016/j.envres.2025.122977","DOIUrl":"10.1016/j.envres.2025.122977","url":null,"abstract":"<div><div>The increasing need for sustainable and effective materials for environmental remediation drives the development of new catalytic supports for photocatalytic processes. Despite numerous advances, a gap remains in utilizing biomass-based materials for efficient photocatalysis, particularly in degrading organic pollutants. This research explored the potential of agave bagasse, a waste product from tequila production in Mexico, as a sustainable catalytic support doped with cerium oxide nanoparticles (CeONP) to degrade methylene blue (MB). The hybrid structures were synthesized through ultrasonic coupling and pyrolysis, where agave bagasse was doped with 0.5 wt% CeONPs. The resulting materials were characterized using Raman spectroscopy, XRD, XPS, SEM, and nitrogen physisorption. The degradation of MB was evaluated under both LED and UV light using a heterogeneous photocatalysis process. Under UV light, the photocatalytic performance remained high, achieving over 99.5 % degradation across multiple reuse cycles. In contrast, the efficiency under LED light was lower due to the reduced photon energy. Post-cycle analysis reveals structural fragmentation and changes in the distribution of cerium nanoparticles, impacting material effectiveness. Scavenger experiments revealed that by ∙O₂⁻, h⁺, and ∙OH radicals, the degradation of MB by our composite is primarily driven. This study highlights the revalorization of agave bagasse as an effective and durable photocatalyst, providing a solution for waste management and the demand for efficient photocatalytic materials in environmental applications.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"286 ","pages":"Article 122977"},"PeriodicalIF":7.7,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217272","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 variations and a local PCB hotspot have altered metabolomic profiles in ringed seals.","authors":"Anais Remili, Bharat Chandramouli, Aaron Fisk, Joey Angnatok, Tanya M Brown","doi":"10.1016/j.envres.2025.123006","DOIUrl":"10.1016/j.envres.2025.123006","url":null,"abstract":"<p><p>Environmental contaminants and climate change pose ongoing threats to Arctic marine mammals, yet their combined physiological impacts remain poorly understood. Here, we analyzed 234 metabolites in liver (n = 27, from 2010 to 2011) and serum/plasma (n = 38, from 2009 to 2011) to assess the health of ringed seals exposed to a local polychlorinated biphenyl (PCB) \"hotspot\" as well as other co-occurring contaminants from long-range sources. Demographic analyses revealed significant age and sex differences, with adult males carrying higher ∑PCB and ∑DDT (dichlorodiphenyltrichloroethane) concentrations than juveniles and females, reflecting bioaccumulation and maternal offload during lactation. Liver metabolite profiles showed stronger contaminant correlations than blood, indicating hepatic metabolism is more directly affected by contaminant exposure. Seals in the year 2010, marked by high sea surface temperatures and reduced ice cover, exhibited distinct serum/plasma signatures including polyunsaturated fatty acid depletion and increased saturated fatty acids, suggesting metabolic adaptation to environmental stress. Liver methionine sulfoxide levels correlated with PCBs (r_s = 0.44, p = 0.02), suggesting that PCBs may be inducing oxidative stress, while chlordanes correlated with amino acids (r_s = -0.49 to 0.45, p = 0.01-0.03), suggesting disrupted protein metabolism. Significant correlations between stable isotope values and contaminant-associated metabolites indicated that dietary factors may confound toxicological relationships. For example, mercury correlations with specific fatty acids paralleled δ¹³C patterns, highlighting challenges in distinguishing direct toxicological effects from shared ecological drivers. These metabolite profiles reveal how persistent pollutants and warming conditions jointly disrupt energy balance, oxidative status, and protein metabolism, demonstrating metabolomics' value for detecting sub-lethal health impacts in Arctic marine mammals.</p>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":" ","pages":"123006"},"PeriodicalIF":7.7,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145228431","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":"Decadal Decline in Heat-Attributed Excess Mortality and Evolving Population Vulnerability: Evidence from a Neighborhood-Scale Study.","authors":"Shan Jin, Qi Li, Xihan Yao, Lei Chen, Chunfang Wang, Tian Xia, Gaoyuan Yan, Zhaowu Yu, Huiting Yu","doi":"10.1016/j.envres.2025.123011","DOIUrl":"https://doi.org/10.1016/j.envres.2025.123011","url":null,"abstract":"<p><p>While prior research has established the mortality risk of heat waves, limited evidence exists on the temporal dynamics of excess mortality and premature death burden, particularly at fine spatial scales. Here, we assessed decadal changes in heat-attributed excess mortality and years of life lost (YLL) with rapid aging. We analyzed daily mortality and meteorological data from 211 neighborhoods in Shanghai, China, during two warm-season periods (June-September, 2009-2011 and 2019-2021). A quasi-Poisson regression coupled with a distributed lag non-linear model was used to estimate neighborhood-specific associations between heat waves and YLL rates (per 100,000 population), followed by multivariate meta-analysis. Heat-attributable burden was further quantified using YLL per death and annual excess deaths (ED). Our results revealed a substantial decline in heat-attributed mortality burden over the decade. YLL per death decreased from 1.00 (95% CI: 0.85, 1.15) years to 0.19 (95% CI: 0.06, 0.32), and annual ED dropped from 327 (95% CI: 277, 380) to 64 (95% CI: 58, 66). The duration of lagged heat effects also shortened. Stratified analyses showed persistently higher excess mortality among males, older adults, and those with lower education, while YLL burden shifted from males to females. Individuals aged 0-64 and the less educated exhibited higher YLL per death across periods. This neighborhood-level analysis provides robust empirical evidence of declining excess mortality and dynamic vulnerability transitions under intensifying heat exposure. The findings underscore the need for spatially adaptive and demographically targeted heat adaptation strategies for ongoing climate change and urban aging.</p>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":" ","pages":"123011"},"PeriodicalIF":7.7,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145228423","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":"Retraction notice to \"Sustainable, economical and rapid treatment of multiple lung diseases using therapeutic potential of curcumin nanoparticles\" [Environ. Res. 233 (2023) 116477].","authors":"Qudsia Kanwal, Samiah Shahid, Abeel Ahmad, Arif Nazir, Muhammad Yasir, Aneela Anwar, Samar Z Alshawwa, Munawar Iqbal","doi":"10.1016/j.envres.2025.121959","DOIUrl":"10.1016/j.envres.2025.121959","url":null,"abstract":"","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":" ","pages":"121959"},"PeriodicalIF":7.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144223891","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":"Machine learning-Powered estimation of simultaneous removal of sulfamethoxazole, 17-β Estradiol, and carbamazepine via photocatalytic degradation with M-Al@ZnO","authors":"Arkadeepto Majumder ,&nbsp;Pubali Mandal ,&nbsp;Manoj Kumar Yadav ,&nbsp;Alagu Lavanya T ,&nbsp;Lavanya B ,&nbsp;Abhradeep Majumder","doi":"10.1016/j.envres.2025.122989","DOIUrl":"10.1016/j.envres.2025.122989","url":null,"abstract":"<div><div>The recalcitrant nature of emerging contaminants in water has raised serious concerns, and addressing their removal aligns with the aims of SDG 6. This has necessitated research on photocatalysis, but its cost-intensive nature requires thorough optimization, which is a tedious manual process. Hence, in this study, different machine learning (ML) models (Elastic-Net, Lasso, XGBoost, Gradient Boosting (GB), Random Forest (RF), and Artificial Neural Network (ANN)) have been used to model the photocatalytic degradation of sulfamethoxazole, 17β-Estradiol, and carbamazepine in the presence of M-Al@ZnO. The training dataset included removal of the 3 contaminants, with pH varied from 2 to 10 (M-Al@ZnO dose = 0.5 g/L and contaminant concentration = 1000 μg/L), M-Al@ZnO dose varied from 0.1 to 1 g/L (pH = 8, and contaminant concentration = 1000 μg/L), and contaminant concentrations varied from 500 to 2000 μg/L (pH = 8 and M-Al@ZnO dose = 0.5 g/L). Across all the models, GB exhibited the most promising results (R²: 0.9648 and RMSE: 3.9581). SHAP analysis revealed that irradiation time (∼60–85 %) was the dominant factor, followed by pH (∼20–45 %) and dose (∼5–15 %), with pollutant concentrations having minimal or negative impact on removal. The models were then used to predict data at non-experimented points (pH varied between 2 and 10, dose varied between 0.1 and 1/g/L, and time varied between 20 and 120 min). Contour plots generated using GB-predicted data explained the interactive effects of dependent variables and hinted that at optimum conditions (pH = 8, Dose = 0.7 g/L), the system can effectively remove 90 % of contaminants within 90 min.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"286 ","pages":"Article 122989"},"PeriodicalIF":7.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217270","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":"Airway exposure to microplastics: Potential mechanisms from epithelial barrier damage to the development of allergic rhinitis","authors":"Xu Zhang ,&nbsp;Mengyuan Liu ,&nbsp;Zhiqiang Zhang ,&nbsp;Xinyu Huang ,&nbsp;Daoming Bai ,&nbsp;Rui Yang ,&nbsp;Maohua Wang ,&nbsp;Peng Wang ,&nbsp;Chunping Yang","doi":"10.1016/j.envres.2025.123007","DOIUrl":"10.1016/j.envres.2025.123007","url":null,"abstract":"<div><div>Microplastics, as global pollutants, are widely distributed in the atmosphere and pose a potential threat to human respiratory health. This review summarizes the multiple mechanisms by which airborne microplastic exposure triggers allergic rhinitis (AR). Research indicates that microplastics drive AR progression through several pathways: (1) physical abrasion and chemical toxicity that disrupt the airway epithelial barrier (2) adsorbed pollutants (e.g., PAHs) that induce oxidative stress and inflammation; and (3) induction of a Th2 immune shift and IgE class-switching, leading to immune dysregulation. By integrating evidence from environmental toxicology, immunology, and clinical medicine, this paper elucidates the role of microplastics as an emerging environmental risk factor in AR pathogenesis and proposes multi-dimensional intervention strategies, including barrier repair, pollution control, and immune modulation. We emphasize the urgent need for interdisciplinary research to address the health challenges posed by microplastics and call for collaborative efforts across environmental governance, precision medicine, and public education to mitigate their impact on global public health.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"286 ","pages":"Article 123007"},"PeriodicalIF":7.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217273","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":"Gestational PFAS concentrations in association with maternal depression and perceived stress during pregnancy and postpartum in the ECHO cohort.","authors":"Susanna D Mitro, Wei Yang, Assiamira Ferrara, Monique M Hedderson, Max Aung, Himal Suthar, Radhika S Raghunathan, Yeyi Zhu, Alicia K Peterson, Morgan Reynolds, Kurunthachalam Kannan, Emily Oken, Margaret R Karagas, Alison E Hipwell, Thomas G O'Connor, Courtney Carignan, Carrie V Breton, Theresa M Bastain, Catherine Karr, Kristen Lyall, Lyndsay A Avalos","doi":"10.1016/j.envres.2025.122997","DOIUrl":"10.1016/j.envres.2025.122997","url":null,"abstract":"<p><p>Depression and perceived stress are common perinatal morbidities. We assessed associations between prenatal per- and polyfluoroalkyl substances (PFAS) with prenatal and postpartum depression and perceived stress. We analyzed concentrations of 7 PFAS in maternal plasma or serum in the Environmental influences on Child Health Outcomes (ECHO) cohort (n = 4403). We ascertained prenatal depression diagnosis; prenatal and postpartum depressive symptom severity using a Patient-Reported Outcomes Measurement Information System Depression (PROMIS-D) t-score; and prenatal and postpartum perceived stress using a Perceived Stress Scale (PSS) t-score. Linear and modified Poisson models assessed associations of PFAS with outcomes. Quantile g-computation assessed PFAS mixtures. We evaluated effect modification by nativity and Social Vulnerability Index. N-MeFOSAA was positively associated, PFDA was inversely associated, and PFOS and PFOA were nonlinearly associated with multiple outcomes. For example, the highest category of N-MeFOSAA was associated with 0.93 (95 %CI: -0.17, 2.03) units higher postpartum PROMIS-D t-scores, and 1.88 (95 %CI: 1.05, 2.72) units higher postpartum PSS t-scores. In contrast, the highest category of PFDA was associated with 25 % (risk ratio [RR]: 0.75 [95 %CI: 0.56, 1.01]) lower risk of depression diagnosis and 0.83 (95 %CI: 0.14, 1.51) units lower prenatal PSS t-scores. The middle and highest categories of PFOS were associated with 26 % (RR: 1.26 [95 %CI: 1.05,1.52]) higher and 38 % (RR: 0.62 [95 %CI: 0.37, 1.05]) lower risk of depression diagnosis; and 0.97 (95 %CI: 0.09, 1.84) units higher and 0.04 (95 %CI: -1.53, 1.62) units lower prenatal PSS t-score. Some PFAS may be associated with altered depressive symptoms and perceived stress; investigation into mechanisms is needed.</p>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":" ","pages":"122997"},"PeriodicalIF":7.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224735","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":"Spatial heterogeneity identification for rainfall-derived inflow and infiltration in urban sewer systems based on water level sensor networks: Insights from an interpretable deep learning method","authors":"Yue Zheng ,&nbsp;Xinyu Chen ,&nbsp;Qing Zhang ,&nbsp;Yiping Zhang ,&nbsp;Yongming Wang ,&nbsp;Xiaoli Zou ,&nbsp;Yongchao Zhou","doi":"10.1016/j.envres.2025.122999","DOIUrl":"10.1016/j.envres.2025.122999","url":null,"abstract":"<div><div>Due to the spatial heterogeneity of rainfall-derived inflow and infiltration (RDII) in urban sewer systems, accurately identifying the subcatchment with the most severe RDII is crucial for the subsequent management of the sewer system. With the increase in monitoring sensors in sewer systems, it is an urgent problem to mine information from the rich water level data to identify subcatchments with severe RDII. Traditional modeling methods either rely on large amounts of data related to water quality and flow, or struggle to capture the topological patterns and complex nonlinear relationships in sewer systems. Thus, this study proposes a severe RDII subcatchment identification method based on the water level sensors and interpretable deep learning algorithm. First, the sewer system is divided into several subcatchments based on the locations of the sensors. Deep learning prediction models for each subcatchment in dry and wet weather are developed using low-cost water level monitoring data. The deep learning models are subsequently analyzed using explainable artificial intelligence (XAI) method to identify RDII severity. After the method was tested in the case study, the developed deep learning models were proven to capture the response relationships between different monitoring sites and external rainfall. Moreover, the results show that the utilization of simple water level sensors, combined with advanced interpretable deep learning algorithms, can effectively identify different degrees of RDII in each subcatchment. This work provides a feasible method for spatial heterogeneity identification for RDII based on low-cost measurements that reduces monitoring and modeling costs, and has the potential for widespread application.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"286 ","pages":"Article 122999"},"PeriodicalIF":7.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145211240","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}