Soil contamination is a major contemporary issue. In light of increasing efforts to align seedling production with the sustainable use and preservation of soil resources, this study aimed to explore the potential of selected plant-growth-promoting bacteria as natural alternatives to mineral fertilizers, a major soil pollutant in the forestry sector. The experiment involved inoculating one-year-old sessile oak (Quercus petraea) seedlings with multiple single bacterial treatments and a consortia derived from sessile oak rhizosphere and monitoring their effects on plant physiological parameters such as chlorophyll, carotenoid, and nitrogen content, along with selected parameters of the rapid chlorophyll a fluorescence induction curve (an OJIP curve). The results indicated that the selected bacterial strains improved specific plant physiological parameters at certain points during the monitoring period; however, further research is necessary to draw statistically significant conclusions. Although these bacteria did not directly enhance photosynthetic parameters, their potential remains evident and could be harnessed through improved application methods. Future studies should focus on identifying site conditions that support the proliferation of the introduced bacterial populations.

Plant domestication has led to a series of morphological and physiological changes aimed at making species more suitable for human use and consumption. In Vitis vinifera ssp. sativa, these changes include increased sugar content and berry size, modifications in seed morphology, and the transition from dioecy to hermaphroditism. This process, which began approximately 6000–8000 years ago in the Transcaucasian region, unfolded in multiple stages and involved the natural abandonment of wild Vitis populations. While it contributed to the phenotypic diversification of modern grapevine cultivars, it also came at the expense of biodiversity. Selection for yield and quality has resulted in the loss of resilience traits in cultivated grapevines. In this study, 23 Vitis species of American origin were examined, analyzing for each their native range, susceptibility to biotic and abiotic stresses, and their suitability for propagation. The study, characterization, and compilation of these American Vitis species provide a valuable resource for consultation and use in targeted grapevine breeding programs. These efforts aim to recover adaptive traits from wild progenitors, enhance the resilience of cultivated grapevines, and address the challenges posed by modern agriculture and sustainability.

The Arieș River, in the Apuseni Mountains of Romania, has been historically impacted by gold mining, resulting in elevated concentrations of metal trace elements. This study assessed the river’s ecological status between 2022 and 2024 by integrating physico-chemical parameters at four sites and diatom-based bioindicators at the same sites in 2024 across monitoring sectors. Key results showed strong mining influence downstream of Baia de Arieș, with episodic acidification (pH down to 5.7), elevated conductivity (>400 μS/cm), and notable exceedances in metal trace elements, particularly Cu (up to 237 μg/L) and Cd (up to 4.18 μg/L). Analysis showed a dominance of α-mesosaprobic taxa (e.g., Amphora ovalis, Navicula cryptocephala, Nitzschia inconspicua), including teratological forms, at polluted sites, while sensitive species persisted upstream. Multivariate analyses indicated that metal trace elements and nutrients are the main drivers of chemical and biological patterns. These findings highlight diatoms as sensitive bioindicators of mining-related impacts. Incorporating diatom-based monitoring into management strategies can support early detection of pollution and more effective protection of freshwater ecosystems.

Poyang Lake, China’s largest freshwater lake, is an ecologically significant but increasingly vulnerable system threatened by eutrophication and harmful algal blooms driven by human activities. Phytoplankton organisms, as primary producers and sensitive bioindicators, provide critical insights into these ecological changes; however, comprehensive seasonal assessments remain scarce. This study examined intra-annual phytoplankton dynamics at 15 representative sites, with the objectives of quantifying seasonal and spatial variations in community composition, density, biomass, and diversity, and identifying key environmental drivers. Surface water samples were collected during four seasons. Phytoplankton were identified microscopically, and diversity was quantified using Shannon–Wiener, Pielou’s evenness, and Margalef’s richness indices. Concurrent measurements included water temperature (WT), dissolved oxygen (DO), nutrients (TN, TP, NO3−-N, NO2−-N, NH4+-N), chemical oxygen demand (COD), pH, and transparency. Pearson correlation and redundancy analysis (RDA) were applied to evaluate phytoplankton–environment relationships. A total of 118 phytoplankton species belonging to 7 phyla were identified. Chlorophyta, Cyanobacteria, and Bacillariophyta exhibited the highest species richness. The highest seasonal abundances were observed for Microcystis wesenbergii (0.998) in winter, Aulacoseira granulata var. angustissima (0.780) in spring, and Snowella lacustris (0.520) in autumn, indicating pronounced seasonal shifts in dominant taxa across Poyang Lake. Phytoplankton density and biomass peaked in summer, while diversity indices significantly declined with increasing WT. RDA revealed that WT, DO, TP, and transparency collectively explained 45.7% of the community variation, with DO emerging as the most influential factor. These findings demonstrate that physical drivers, particularly thermal conditions and oxygen availability, exert stronger influences on phytoplankton diversity than nutrients alone, challenging nutrient-centric paradigms. Management should integrate hydrological and oxygen regulation with nutrient control, while long-term monitoring, depth-stratified sampling, and trait-based approaches are recommended to improve predictive models under climate variability.

In recent decades, road transport has become one of the dominant factors shaping environmental conditions, with both beneficial and adverse consequences. While transport infrastructure facilitates access to essential services and supports societal well-being, vehicular emissions remain a major source of air quality degradation. Among the pollutants released, nitrogen dioxide (NO2) and fine particulate matter (PM2.5) are of particular concern due to their adverse health effects, especially in densely trafficked urban areas. Pollutant levels are determined not only by traffic intensity but also by external influences such as meteorological conditions and roadway design. This study examines how different intersection configurations affect ambient concentrations of PM10, PM2.5, and NO2. Field monitoring and dispersion modeling were carried out for a three-arm intersection and a roundabout. NO2 concentrations were quantified using a reference chemiluminescence method, while PM10 and PM2.5 were measured with an optical aerosol spectrometer. Traffic flow characteristics associated with each intersection geometry were simulated in PTV Vissim, and pollutant dispersion patterns were subsequently analyzed using the CadnaA modeling environment. Field measurements revealed lower PM concentrations (reduction in PM10, PM2.5–10 and PM2.5 concentration—30.1%, 45.1% and 22.8%) and higher NO2 concentrations (increase in NO2 concentration—143.3%) at the roundabout.

Water is a critical resource for both environmental integrity and human health. This study assessed the concentrations of potentially toxic elements (PTEs)—Pb, Cd and Hg—in surface waters adjacent to six urban settlements within the Barranca de Metztitlán Biosphere Reserve (MBR), Mexico. Ecological and health risks were evaluated for vulnerable groups, including children, adolescents, and the elderly. Cd and Hg water concentrations surpassed the national and international water quality criteria at three locations. Ecological and health risk analysis of Pb was not conducted as Pb concentrations were below LOD (0.02 ppm). Ecological risk analysis revealed a low potential risk for Cd exposure but a high risk for Hg at its highest concentration in the reserve. Health risk assessment revealed that Cd and Hg pose a non-carcinogenic risk, particularly to children under three years old. Hazard quotients (HQ) and cumulative risk indices (HI) exceeded safe thresholds at multiple sites. Infants (0–11 months) were the most susceptible, even at contaminant levels near detection limits. These findings emphasize the importance of routine monitoring and early intervention strategies to mitigate exposure risks, especially in vulnerable populations within the MBR.

Microplastics (MPs) are widespread contaminants in seabeds, where they are bioavailable to benthic organisms including polychaetes. Among them, the bearded fireworm represents a potential target for MP, given its opportunistic predatory and scavenging habits, reaching high densities and displaying a wide expansion range in the Mediterranean Sea. In this pilot bench-scale study, we investigated MP ingestion and egestion in this species through a simplified two-level trophic chain, using mussels as prey. Mediterranean mussels were first exposed to fluorescently labelled polystyrene microspheres (micro-PS, nominal size of 10 µm) and offered to fireworms. Within three days, fireworm faecal pellets, intestines, and body fluids were collected and digested to quantify MP. In-depth microscopy analyses were carried out to evaluate potential chemical and physical alterations of MPs during gut passage. Minimal retention of MPs in fireworm tissues was observed, while faecal pellets contained substantial quantities of micro-PS. Despite most MPs exhibiting negligible chemical changes, they were covered by faecal matter and colonised by bacteria, with minor surface alterations. Our findings provide the first evidence of MP trophic transfer from a filter feeder to a carnivorous polychaete. The rapid excretion of MPs by bearded fireworms gives insights into polychaete-mediated MP fluxes and MP fate in benthic ecosystems.

Understanding the dose of ambient PM2.5 inhaled by middle school students during active commuting between home and school is essential for optimizing their travel routes and reducing associated health risks. However, accurately modeling this remains challenging due to the difficulty of measuring ambient PM2.5 concentrations along commuting routes at a population scale. In this study, we overcome this limitation by employing spatiotemporally dense observations of on-road ambient PM2.5 concentrations collected through a massive mobile monitoring fleet consisting of around 200 continuously operating taxis installed with air quality monitoring instruments. Leveraging these rich on-road PM2.5 observations combined with a GIS-terrain-based PM2.5 dosage modeling approach, we (1) assess middle school students’ PM2.5 dosages during morning (7:00 am–8:00 am) home–school walking commuting along the shortest-distance route; (2) examine the feasibility of identifying an alternative route for each student that minimizes PM2.5 dosages during commuting; (3) investigate the trade-off between the relative reduction in PM2.5 dosage and the relative increase in route length when opting for the alternative lowest-dosage route; and (4) examine whether exposure inequalities exist among students of different family socioeconomic statuses (SES) during their home–school commutes. The results show that (1) 18.8–57.6% of the students can reduce the dose of PM2.5 by walking along an alternative lowest-dose route; (2) an alternative lowest-dose route could be found by walking along a parallel, less-polluted local road or walking on the less-trafficked side of the street; (3) seeking an alternative lowest-dose route offers a favorable trade-off between effectiveness and cost; and (4) exposure inequities do exist in a portion of students’ walking commutes and those students from higher-SES are more likely to experience higher exposure risks. The findings in our study could offer valuable insights into commuter exposure and inspire future research.

Human activities have triggered microplastic pollution, and estuaries have emerged as critical yet understudied ecosystems in Chile. This study investigated sediment microplastic pollution in the Lenga (highly industrialized) and Tubul-Raqui (fisheries village) ecosystems, characterized by contrasting anthropogenic impacts, in the Biobío Region, Chile. Microplastic particles, including fibers, foam, fragments, and film, were detected in both estuaries. The Lenga estuary, heavily industrialized, exhibited a significantly higher total abundance of microplastics compared to the Tubul-Raqui estuary. However, the mean concentrations of microplastics in the studied estuaries are notably lower than those reported in other global studies, aligning more closely with levels found in less polluted estuaries around the world. FTIR analyses identified six types of polymers in Lenga, with polyamide (PA) being the most prevalent, constituting 35% of all polymers detected. Conversely, in Tubul-Raqui, polyvinyl chloride (PVC) emerged as the predominant polymer, comprising 25% of the total. Furthermore, significant correlations were observed with sediment physico-chemical parameters, such as organic matter and pH. These findings confirm the existence of microplastic pollution in both estuaries, highlighting the necessity of continued monitoring and assessment of potential environmental impacts in these ecologically valuable ecosystems.

The health impact of air pollutants has generated a trend in the design and manufacture of portable, personal and fixed PM monitoring systems to help reduce exposure to air pollutants. However, these devices still need to be improved and properly evaluated to compete with environmental monitors in the market. In this work, a test chamber with controlled environmental conditions and wireless connectivity is developed for the evaluation of low-cost portable and personal PM sensors. The developed system ensures rapid evaluation tests ranging from seconds to hours to corroborate prolonged operation and correct calibration. The system is controlled by a Python-based graphical user interface (GUI) and monitors PM concentration, altitude, relative humidity, atmospheric pressure, illuminance, and temperature measurements. Fifty measurement tests with a duration of 10 min each were conducted to ensure robust performance and data transfer. Subsequently, four calibration tests were conducted using two SENSIRION SPS30 (SPS A and SPS B) personal PM sensors and two PMS5003 (PMS A and PMS B) personal PM sensors. The Prana Air PAS-OUT-01 sensor served as the reference to calculate the correlations and the descriptive statistics between each sensor to be calibrated. A contamination source was employed utilizing a monodispersed aerosol generator for 0.46 µm latex polystyrene particle atomization. Linear regression was applied during the calibration to determine the calibration coefficients, which were then used to adjust the sensor readings in the respective code and descriptive statistics of the sensor calibration tests were calculated. For the PMS5003 sensors, the Pearson correlation coefficients (r) after calibration were PMS A: 0.9870 and PMS B: 0.9898 compared to their uncalibrated values of PMS A: 0.9828 and PMS B: 0.9863. In contrast, the uncalibrated SPS A sensor initially had a correlation of 0.9939, which slightly decreased to 0.9917 after calibration. Meanwhile, the uncalibrated SPS B sensor showed a correlation of 0.9422, which improved to 0.9715 after calibration.