Environmental Monitoring and Assessment最新文献

{"title":"Agricultural activities drive the degradation of water purification services and exacerbate spatial injustice in the Shandong Peninsula urban agglomeration","authors":"Xuewei Wang,&nbsp;Jing Wang,&nbsp;Nuo Cheng,&nbsp;Guoqiang Qiu,&nbsp;Zhaofei Wu","doi":"10.1007/s10661-026-16100-8","DOIUrl":"10.1007/s10661-026-16100-8","url":null,"abstract":"<div><p>Anthropogenic pressures constitute substantial threats to the stability of aquatic systems. Grid-scale analyses are required to elucidate the impacts of anthropogenic pressures on water purification services (WPS) and associated spatial injustice (SI). In this study, livestock and poultry farming (LPF), fertilizer use (FU), and domestic activities (DA) were evaluated against total nitrogen (TN) and total phosphorus (TP) loads in the Shandong Peninsula urban agglomeration. Using comparable datasets for 2000 and 2020, we combined the InVEST model with SHAP and spatial clustering to estimate nutrient loads and identify nonlinear drivers and SI regions. The results indicate that areas with concentrated LPF and FU exhibit higher TN and TP loads coupled with lower resident income, reflecting pronounced SI. LPF contributed most strongly to TN and TP loads (50.26%–52.27%) and displayed threshold effects (13 head/ha in 2000; 5 head/ha in 2020), with LPF in high-load–low-income areas identified as SI regions approaching or exceeding thresholds. From 2000 to 2020, 1.69% of high-income regions shifted from high to low nutrient loads. However, widening income disparities led to a 9.44% increase in “High loads–Low income” areas, perpetuating SI. In high-load–low-income areas, the spatial extent of livestock production and fertilizer use was strongly associated with TN and TP loads. These findings identify livestock-intensive, low-income regions as priority areas for nutrient source control and environmental monitoring. Pollution-reduction measures should be accompanied by financial and technical support for communities with limited capacity to implement nutrient management.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149293818","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":"Technological approach to invasive species: the role of remote sensing and predictive modelling","authors":"Ayushi Gupta,&nbsp;Damanti Murmu,&nbsp;Prakash Rajak,&nbsp;Leesh Ray,&nbsp;Akhilesh Singh Raghubanshi,&nbsp;Hema Singh,&nbsp;Abhinav Wadhwa","doi":"10.1007/s10661-026-16070-x","DOIUrl":"10.1007/s10661-026-16070-x","url":null,"abstract":"<div><p>Remote sensing, predictive modelling and machine learning are increasingly central to detecting and monitoring invasive plant species across broad and heterogeneous landscapes. This review synthesises 25 years of remote sensing–based invasive plant species research (2000–2025) to determine how sensor selection, analytical methods and reporting practices have evolved. Records from Web of Science and Scopus were screened using defined eligibility criteria and coded by platform, sensor, species, region, method, impact category, accuracy reporting and linkage with the United Nations Sustainable Development Goals. Bibliometric keyword analysis was used to examine thematic structure and emerging research directions. The evidence shows rapid publication growth after 2015, continued dominance of satellite data, increasing use of uncrewed aerial systems, light detection and ranging, synthetic aperture radar and machine learning classifiers and persistent geographic imbalance. Of 166 retained studies, 149 provided extractable impact information and 76 reported overall accuracy values. The literature indicates a shift from descriptive mapping toward integrated monitoring, risk assessment and decision support frameworks for biodiversity conservation, restoration planning and invasive plant management.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13723693/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149316946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Spatio-temporal evolution and driving mechanisms of soil acidification in an intensive agricultural region of Northern China","authors":"Yi Yang,&nbsp;Weijie Wang,&nbsp;Xiaoguang Zhang,&nbsp;Shuqi Xiao,&nbsp;Jiaying Yang,&nbsp;Rui Su,&nbsp;Zengqiang Li,&nbsp;Xinwei Liu,&nbsp;Haiyan Du","doi":"10.1007/s10661-026-16112-4","DOIUrl":"10.1007/s10661-026-16112-4","url":null,"abstract":"<div><p>Soil acidification has emerged in intensively cultivated regions of northern China, but county-scale changes in soil pH and their associated factors remain poorly understood. We investigated soil pH in Linshu County, Shandong Province, using a digitized historical soil survey map from 1985 and field observations interpolated by ordinary kriging for 2007 and 2019. Geodetector was used to assess the explanatory power of environmental and agricultural variables for spatial variation in soil pH. Mean soil pH declined from 6.65 in 1985 to 6.09 in 2007 and 5.40 in 2019. The mapped proportion of strongly and extremely acidic soils rose sharply from 2.35% in 2007 to 67.18% in 2019. Parent material had the highest individual explanatory power in 1985 (q = 0.48), whereas nitrogen fertilizer application ranked highest in 2007 (q = 0.52). In 2019, crop type (q = 0.55) and nitrogen fertilizer application (q = 0.48) showed the strongest spatial associations with soil pH. These findings indicate marked soil acidification in the study area, accompanied by changing associations between soil pH and natural and agricultural variables.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149316945","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":"Prioritizing soil Pb verification targets under spatial outer testing for regional monitoring","authors":"Wenjing Sun,&nbsp;Chichen Zhou,&nbsp;Ridong Fan,&nbsp;Lin Li,&nbsp;Anchun Cheng,&nbsp;Jinkun Huang,&nbsp;Xunchang Fei,&nbsp;Behzad Fatahi","doi":"10.1007/s10661-026-16105-3","DOIUrl":"10.1007/s10661-026-16105-3","url":null,"abstract":"<div><p>Regional soil Pb monitoring must decide which samples to verify first under a fixed budget. We distinguish contamination status, screening status, and verification priority; the model ranks verification targets using labels defined by prespecified screening rules rather than confirmed contamination. Using 33,004 label-applicable samples, we excluded Pb concentration, screening thresholds, label-source identifiers, and spatial split identifiers from the predictor set. Candidate models were selected by grouped out-of-fold evaluation in the development set and tested in held-out 50 km × 50 km spatial blocks. CatBoost achieved an outer-test PR-AUC of 0.4300. Under a 15% verification budget, the 1036-sample priority list captured 330 of 441 samples classified as high risk by the screening rules (74.83%), with a 31.85% within-list rate and 4.99-fold enrichment. Restricting development to the dominant USGS component retained 73.51% top-15% capture, with strong rank agreement to the integrated model (Spearman <i>ρ</i> = 0.8977). Sensitivity analyses separated stable, rule-sensitive, proxy-sensitive, and dual-sensitive candidates. The resulting ranking supports phased verification within the evaluated rule and data domain; broader transfer requires independent confirmation.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149293854","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":"Extent and severity of land degradation in the Eastern Mindanao Corridor, Philippines: a multi-indicator assessment to support Land Degradation Neutrality","authors":"Djolly Ma. P. Dinamling,&nbsp;Rajendra P. Shrestha","doi":"10.1007/s10661-026-16094-3","DOIUrl":"10.1007/s10661-026-16094-3","url":null,"abstract":"<div><p>Land degradation poses a major challenge to sustainable development and Land Degradation Neutrality (LDN) in the Philippines. This study assessed land degradation across the approximately 1.6 million ha Eastern Mindanao Corridor (EMC), an ecological corridor experiencing forest–agriculture transitions, land-use intensification, and extractive pressures. Land degradation was assessed for 2013–2018 and 2018–2023 using five indicators: land cover change, land productivity dynamics, soil organic carbon, soil erosion, and salinity. The changes in the indicators were normalized and integrated into a composite Land Degradation Index (LDI), and sensitivity analysis was conducted to assess the robustness of the results to different weighting scenarios. The LDI indicated contrasting temporal patterns. In 2013–2018, 75.0% of the EMC was classified as stable and 16.6% as improved. During 2018–2023, stable areas increased to 83.4%, while improved areas declined to 6.1%; slight and moderate degradation increased, although severe degradation remained limited. The EMC shifted from widespread improvement toward predominantly stable conditions with increasing slight to moderate degradation. The overall distribution of LDI classes remained generally consistent across the different weighting scenarios. Across the two assessment periods, 82.0% of the corridor was classified as stable, while 7.5% was identified as brightspots indicating land-condition improvement, 10.1% as hotspots, and 0.5% as persistently degraded. Hotspots were concentrated particularly in grasslands, while forestlands dominated stable areas and brightspots. The five-indicator LDI provides a context-specific approach to regional-scale LDN monitoring and a spatial basis for identifying areas for further field validation and prioritizing land-management and restoration planning.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149316943","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":"From illumination expansion to ecological response: artificial light at night and detectability of forest vegetation responses across India","authors":"Dibyendu Dutta","doi":"10.1007/s10661-026-16117-z","DOIUrl":"10.1007/s10661-026-16117-z","url":null,"abstract":"<div><p>Artificial night-time light (NTL) is widely used as a satellite-derived proxy for anthropogenic activity, but its ecological implications at regional scales remain uncertain. This study examines the spatio-temporal expansion of NTL across India during 2012–2024 and evaluates its association with forest vegetation productivity, greenness, and phenology. VIIRS-derived NTL was analysed with satellite-based gross primary productivity (GPP), enhanced vegetation index (EVI), normalized difference vegetation index (NDVI), forest-type information, and phenological metrics. Total illuminated area increased from approximately 0.58 to 2.51 million km2, representing a more than fourfold expansion, while mean radiance increased from 0.46 to 1.23 nW cm^-2 sr^-1. Approximately 46–53% of illumination expansion occurred within 2 km and about 80% within 5 km of forest boundaries. NTL also showed strong correspondence with electricity consumption and urban population (r ≈ 0.92–0.96). At the annual aggregate scale, NTL showed strong raw correlations with EVI (r ≈ 0.83) and GPP (r = 0.74), but these relationships were strongly influenced by shared temporal trends. After detrending, correlations were − 0.008 for EVI, − 0.019 for NDVI, and 0.029 for GPP. Alternative detrending methods, lagged analyses, spatial-scale sensitivity, and phenological assessments showed no consistent moderate regionalscale response. Effect-size and statistical-power analyses further indicated that the overall dataset had reasonable sensitivity to a predefined moderate association (|r| = 0.30), while forest-type analyses had lower sensitivity. Overall, the results indicate that a moderate, spatially coherent annual-scale NTL–vegetation response is unlikely within the sensitivity of the available observations, while smaller, localized, seasonal, species-specific, or long-term ecological effects cannot be excluded.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149316944","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":"Aircraft emissions as emerging soil pollutants: Implications for soil quality, food safety and ecosystem health","authors":"J. Manoranjith,&nbsp;C. Sudhalakshmi,&nbsp;D. Jegadeeswari,&nbsp;D. Balachandar,&nbsp;B. Meena","doi":"10.1007/s10661-026-16078-3","DOIUrl":"10.1007/s10661-026-16078-3","url":null,"abstract":"<div><p>The expansion of global aviation has increased emissions of carbon dioxide (CO₂), nitrogen oxides (NO_x), sulfur oxides (SO_x), carbon monoxide (CO), unburned hydrocarbons, and particulate matter, including ultrafine particles. Aviation also affects climate through contrail formation and NO_x-mediated atmospheric chemistry. Beyond aircraft-engine exhaust, airport activities can introduce per- and polyfluoroalkyl substances (PFAS), particularly through aqueous film-forming foam (AFFF) releases and runoff, and may contribute microplastics through tire and pavement wear, waste, and other operational pathways. Airport-specific microplastic emission and deposition fluxes remain poorly quantified. Particle-associated pollutants and persistent airport-associated contaminants can reach soils through atmospheric deposition, runoff, and direct operational releases; atmospheric transformation of nitrogen and sulfur oxides can also deliver reactive species to receiving soils. Soil microbial communities may respond through changes in diversity, composition, and enzyme activities, including shifts in beneficial or pollutant-tolerant taxa. Soil–plant transfer may link contamination to food safety and ecosystem health. Airport studies indicate localized contamination near operational areas, although source attribution and temporal deposition trends remain unresolved. Potential management options include source-level emission reduction through sustainable aviation fuels, green buffer zones, soil amendments, microbial remediation, and phytoremediation; their effectiveness in reducing airport-soil contamination requires validation. Long-term causal evidence linking aviation-specific deposition to soil-function changes, plant uptake, and food-chain exposure remains limited. This review synthesizes pollutant sources, deposition pathways, effects on soil quality and microbial functioning, ecological and food-safety implications, methodological constraints, and management priorities for aviation-affected soils.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div><p>Graphical abstract showing the sources of aircraft emissions, their impact on soil health, and their mitigation and management strategies (Abbreviations: CO₂, carbon dioxide; SO₂, sulfur dioxide; NO₂, nitrogen dioxide; CH₄, methane; Pb, lead; Cd, cadmium; Ni, nickel; Zn, zinc; Cr, chromium; PAHs, polycyclic aromatic hydrocarbons; CEC, cation exchange capacity).</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149293807","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":"Joint effects of rainfall and antecedent moisture on nutrient anomalies of urban water across China","authors":"Du Chao,&nbsp;Junqi Li,&nbsp;Xiangyu Li,&nbsp;Zhiming Zhang","doi":"10.1007/s10661-026-16114-2","DOIUrl":"10.1007/s10661-026-16114-2","url":null,"abstract":"<div><p>Surface-water eutrophication is increasingly influenced by rainfall variability, yet the joint roles of event rainfall and antecedent wetness in shaping urban nutrient concentrations remain poorly resolved at the national scale. We integrated daily precipitation records and surface-water quality observations from 333 Chinese cities during 2019–2024 to quantify rainfall-related anomalies in ammonia nitrogen (NH₃-N), total phosphorus (TP), and total nitrogen (TN). Nine rainfall-antecedent moisture scenarios were defined by combining light, high, and extreme rainfall with dry, normal, and wet antecedent conditions characterized using an antecedent precipitation index (API). Monthly median concentrations on non-rainfall days were used as baselines to reduce seasonal effects. Nutrient anomalies differed significantly among the nine scenarios, with wetter antecedent conditions generally associated with more positive anomalies, particularly for NH₃-N and TP, whereas TN showed weaker scenario differentiation. Generalized additive models revealed significant joint nonlinear rainfall-API response surfaces. City-scale classification further identified six empirical response types. TP was dominated by wet-antecedent positive responses, while NH₃-N and TN more frequently showed mixed/inconclusive patterns; rainfall-intensity-specific types were comparatively rare. These results show pollutant- and city-specific heterogeneity in rainfall-related nutrient concentration responses and highlight the value of incorporating antecedent precipitation conditions into urban water-quality monitoring and stormwater management.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149293910","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":"Gap filling in long-term AOD time series using Iterative Singular Spectrum Analysis at a tropical AERONET site","authors":"Tiago Schmidt,&nbsp;Rafael da Silva Palácios,&nbsp;Amaury de Souza,&nbsp;Leone Francisco Amorim Curado","doi":"10.1007/s10661-026-16067-6","DOIUrl":"10.1007/s10661-026-16067-6","url":null,"abstract":"<div><p>Aerosol optical depth (AOD) is widely used in studies related to atmospheric monitoring, climate variability, and air quality, with the Aerosol RObotic NETwork (AERONET) providing high-quality records. However, AERONET AOD time series frequently contain observational gaps associated with cloud cover, especially in tropical regions characterized by strong hydrological seasonality. In this study, the performance of Iterative Singular Spectrum Analysis (ISSA) was evaluated for gap-filling an incomplete AOD time series from the AERONET Cuiabá-Miranda station (AOD-AERONET) in the Central-West region of Brazil. Daily AOD-AERONET data between 2005 and 2024 were used, with approximately <span>(47%)</span> of the daily observations identified as gaps and showing a predominantly seasonal distribution. The application of ISSA to the gap-filling of the AOD series involved the evaluation of different initialization and cross-validation strategies using model performance metrics, as well as different reconstruction parameters. The results showed that the climatological initialization, based on the Day of the Year (DOY) mean, outperformed the global-mean initialization, producing smaller errors and greater temporal consistency of the reconstruction, and that the cross-validation design plays an important role in the selection of optimal parameters.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13719766/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149293836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Environmental monitoring of the Lagoon of Lake Patria in South Tyrrhenian sea, Italy","authors":"Maria Toscanesi,&nbsp;Michele Arienzo,&nbsp;Luciano Ferrara,&nbsp;Carlo Donadio,&nbsp;Sergio Bravi,&nbsp;Diana Barra,&nbsp;Giuseppe Aiello,&nbsp;Roberta Parisi,&nbsp;Marco Guida,&nbsp;Antonietta Siciliano,&nbsp;Giovanni Libralato,&nbsp;Federica Carraturo,&nbsp;Nicola Maio,&nbsp;Adele Fabbrocini,&nbsp;Raffaele D’Adamo,&nbsp;Giuseppe De Simone,&nbsp;Corrado Stanislao,&nbsp;Claudia Cucolo,&nbsp;Marco Trifuoggi","doi":"10.1007/s10661-026-16064-9","DOIUrl":"10.1007/s10661-026-16064-9","url":null,"abstract":"<div><p>The ecosystem health state of one of the most important lagoons in south Italy, Lake Patria, on the Tyrrhenian Sea was studied. Thirty-one superficial sediment sites were monitored and analyzed for bathymetric conditions, granulometry, morphoscopy, total organic carbon, benthic foraminifera, ostracod and macrofauna assemblages, microbiology and eco-toxicological features, and polycyclic aromatic hydrocarbon loads. The survey revealed that lagoon depth was quite variable with a range from −1 to over −20 m and sediment were classified as medium sand seaward, very coarse sand in the northern sector, and fine or very fine gravel. Fecal coliform and Fecal Enterococci were absent, whereas sulfite reducing <i>Clostridia</i> levels were minimally detected and only at discrete locations, likely due to chemical pollution. Meiobenthic abundance and diversity indices highlighted oligotypic conditions with dominance of species tolerant to salinity and anoxic fluctuations and no substantial biodiversity difference respect to historical data. Macrobenthos survey showed a substantial decreasing of taxa respect to historic survey with only dead bivalves or presence of just one living gastropod species, <i>Ecrobia ventrosa</i>, likely due to anoxia and/or pollution conditions. Significant hot spots of polycyclic aromatic hydrocarbons surpassing the legal limits up to threefold were determined near wastewater delivering canals.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149293833","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}