Search Results (4,386)

We investigated the relationship between foliar blight, tree structure, and spectral signatures in a Pacific Madrone (Arbutus menziesii) orchard in Oregon using unoccupied aerial system (UAS) multispectral imagery and ground surveying. Aerial data were collected under both cloudy and sunny conditions using a six-band sensor (red, green, blue, near-infrared, red edge, and longwave infrared), and ground surveying recorded foliar blight and tree height for 29 trees. We observed band- and index-dependent spectral variation within crowns and between lighting conditions. The Normalized Difference Vegetation Index (NDVI), Modified Simple Ratio Index Red Edge (MSRE), and Red Edge Chlorophyll Index (RECI) showed higher consistency across lighting changes (adjusted R² ≈ 0.95), while the Green Chlorophyll Index (GCI), Modified Simple Ratio Index (MSR), and Green Normalized Difference Vegetation Index (GNDVI) showed slightly lower consistency (adjusted R² ≈ 0.92) but greater sensitivity to blight under cloudy skies. Diffuse skylight increased blue and near-infrared reflectance, reduced red, and enhanced blight detection using GCI, MSR, and GNDVI. Tree height was inversely related to blight presence (p < 0.005), and spectral variation within crowns was significant (p < 0.01), suggesting a role for canopy architecture. The support vector machine classification of tree crowns achieved 92.5% accuracy (kappa = 0.87). Full article

Micro- and nanoplastics (MNPs) are becoming an increasingly common environmental pollutant. They have been detected in fruit, vegetables, drinking water, seafood, meat, dairy products, and cereals, with particularly high levels often being found in processed foods. The presence of MNPs varies significantly depending on the type of food, geographical region, method of food preparation, and packaging materials used. Of the three main routes of human exposure to MNPs, ingestion is the most important. This article provides a comprehensive review of food contamination by MNPs, including an assessment of the impact of various factors on the MNP abundance. For the first time, it also evaluates the differences in MNP intake among individuals following three typical European dietary patterns: the Mediterranean, Western, and lacto-ovo-vegetarian. The lacto-ovo-vegetarian diet was found to result in the highest MNP intake (69.1 × 10⁶ particles/day), almost doubling that of the other tested patterns. This is mainly due to the very high proportion of fruit, vegetables, legumes, and nuts in daily meals. Taking into account both health concerns and MNP quantity consumed with meals (37.5 × 10⁶ particles/day), the Mediterranean diet is the healthiest. The review also highlights the need to raise awareness of food-related sources of MNPs. Full article

This study provides a comprehensive and systematic review of hyperspectral remote sensing in urban areas, with a focus on the evolving roles of airborne and spaceborne platforms. The main objective is to assess the state of the art and identify current trends, challenges, and opportunities arising from the scientific literature (the gray literature was intentionally not included). Despite the proven potential of hyperspectral imaging to discriminate between urban materials with high spectral similarity, its application in urban environments remains underexplored compared to natural settings. A systematic review of 1081 peer-reviewed articles published between 1993 and 2024 was conducted using the Scopus database, resulting in 113 selected publications. Articles were categorized by scope (application, method development, review), sensor type, image processing technique, and target application. Key methods include Spectral Unmixing, Machine Learning (ML) approaches such as Support Vector Machines and Random Forests, and Deep Learning (DL) models like Convolutional Neural Networks. The review reveals a historical reliance on airborne data due to their higher spatial resolution and the availability of benchmark datasets, while the use of spaceborne data has increased notably in recent years. Major urban applications identified include land cover classification, impervious surface detection, urban vegetation mapping, and Local Climate Zone analysis. However, limitations such as lack of training data and underutilization of data fusion techniques persist. ML methods currently dominate due to their robustness with small datasets, while DL adoption is growing but remains constrained by data and computational demands. This review highlights the growing maturity of hyperspectral remote sensing in urban studies and its potential for sustainable urban planning, environmental monitoring, and climate adaptation. Continued improvements in satellite missions and data accessibility will be key to transitioning from theoretical research to operational applications. Full article

Sweetpotato is a key staple crop in tropical and subtropical regions. Its vegetative propagation makes it a persistent reservoir, facilitating the emergence and spread of complex infections. Understanding its virome is crucial for disease management and food security. We investigated the sweetpotato virome in Burkina Faso using rolling circle amplification and Oxford Nanopore sequencing. Eight symptomatic leaf samples, previously undiagnosed using conventional methods, were analysed. Bioinformatic pipelines were employed followed by phylogenetic comparisons. Two viruses known to infect sweetpotato, namely sweet potato leaf curl virus (SPLCV) and sweet potato leaf curl deltasatellite 3 (SPLCD3), were consistently detected in all samples. Additionally, pepper yellow vein Mali virus (PepYVMV), cotton leaf curl Gezira alphasatellite (CLCuGeA) and cotton leaf curl Gezira betasatellite (CLCuGeB) were identified for the first time in this crop. Phylogenetic analysis confirmed their genetic proximity to isolates from tomato, okra and pepper. Their co-occurrence with SPLCV and SPLCD3 indicates a complex viral landscape that could influence disease severity. This study highlights the underestimated role of sweetpotato as a viral reservoir, influencing virus evolution and transmission. Further studies should assess their pathogenicity, co-infection dynamics and vector-mediated transmission to improve crop productivity. Full article

Understanding the spatiotemporal dynamics of coastal intertidal meta-ecosystems in response to sea-level rise (SLR) is essential for understanding the interactions between terrestrial and aquatic meta-ecosystems. However, given that annual SLR changes are typically measured in millimeters, ecosystems may take decades to exhibit noticeable shifts. As a result, the extent of lateral responses at a single point is constrained by the fragmented temporal and spatial scales. We integrated the tidal inundation gradient of a coastal meta-ecosystem—comprising a high-elevation flat (H), low-elevation flat (L), and mudflat—to quantify the potential application of inferring the spatiotemporal impact of environmental features, using China’s Yangtze Estuary, which is one of the largest and most dynamic estuaries in the world. We employed both flood ratio data and tidal elevation modeling, underscoring the utility of spatial modeling of the role of SLR. Our results show that along the tidal inundation gradient, SLR alters hydrological dynamics, leading to environmental changes such as reduced aboveground biomass, increased plant diversity, decreased total soil, carbon, and nitrogen, and a lower leaf area index (LAI). Furthermore, composite indices combining the enhanced vegetation index (EVI) and the land surface water index (LSWI) were used to characterize the rapid responses of vegetation and soil between sites to predict future ecosystem shifts in environmental properties over time due to SLR. To effectively capture both vegetation characteristics and the soil surface water content, we propose the use of the ratio and difference between the EVI and LSWI as a composite indicator (ELR), which effectively reflects vegetation responses to SLR, with high-elevation sites driven by tides and high ELRs. The EVI-LSWI difference (ELD) was also found to be effective for detecting flood dynamics and vegetation along the tidal inundation gradient. Our findings offer a heuristic scenario of the response of coastal intertidal meta-ecosystems in the Yangtze Estuary to SLR and provide valuable insights for conservation strategies in the context of climate change. Full article

University students are subject to various demands in their role as academics. Such pressures tend to amplify emotional distress, making them more susceptible to mental health hazards. This study investigates the influence of enclosed courtyards on students’ mental health within educational facilities, focusing on their distinct spatial configurations, such as semi-open layouts and vegetation cover, as well as their effects on intellectual functioning and well-being. The research used electroencephalography (EEG) to examine brainwave activity and quantify the influence of the spatial design of enclosed courtyards on the mental and emotional well-being of students. An experiment with 16 students and EEG measurements was conducted in the Faculty of Engineering courtyard at Egypt’s Ain Shams University in Cairo, providing 60–70% statistical power to detect medium effect sizes (Cohen’s d = 0.5, α = 0.05), which is sufficient for exploratory research. The study explores the psychophysiological implications of the brain’s electrical signals as neurological measurements, such as alpha and theta brainwaves, in order to assess individuals’ relaxation, restoration, and attention levels. The findings show that natural characteristics of the courtyard, expansive space, and visual stimuli have a significant effect on restoration and attention. While the sample size is limited and the design is context-specific, the results provide preliminary evidence that meticulously designed enclosed courtyards can improve students’ mental well-being. These findings invite further multi-site validation to assess generalizability. This study contributes to the expanding domain of neurolandscape” by demonstrating the interplay between built environments and mental health in educational contexts. Full article

Introduced salmonids are a major threat to New Zealand’s non-migratory galaxiids, yet evidence for predator-driven habitat shifts remains limited. We experimentally tested whether dwarf galaxiids (Galaxias divergens) altered habitat use in response to rainbow trout (Oncorhynchus mykiss) presence or odour. Two habitat contrasts were offered: coarse versus fine substrate and open versus vegetated cover, under three predator treatments (trout-present, trout-odour-only, trout-absent). Generalised linear mixed models showed no significant effects of trout treatment on galaxiid habitat choice in either experiment. Substrate use was stable, with a consistent preference for coarse substrate regardless of predator cues, while vegetation cover had no detectable influence on behaviour. These results suggest that trout presence is unlikely to deter dwarf galaxiids from entire river reaches, but their limited behavioural response may leave them more exposed to predation where refuge is scarce. Habitat enhancement, particularly maintaining coarse substrate and reducing fine sediment, is likely to support the resilience of this short-lived, r-selected species. Full article

Lilium species produce some of the most commercially valuable ornamental flowers in the world, characterized by their attractiveness and high demand in cut flower markets. However, it is necessary to strengthen the competitiveness of this sector in the global market. Due to strong competition from international producers and an increasingly demanding market regarding quality, shelf life, and sustainability, alternatives are being sought to counteract the use of conventional agrochemicals. The use of nanoparticles has emerged as a promising strategy in ornamental horticulture due to their ability to enhance plant growth, improve stress tolerance, and stimulate physiological processes, ultimately contributing to higher quality and productivity. The hypothesis of this research is that the foliar application of selenium and titanium dioxide nanoparticles during the vegetative growth and flowering stages significantly enhances the growth, development, and flowering of Lilium plants when compared with untreated plants. Therefore, the physiological effects of SeNPs and TiO₂NPs applied via foliar application in two concentrations (SeNPsD1, SeNPsD2, TiNPsD1, and TiNPsD2) were evaluated against absolute control. The treatments were applied in two phenological stages (vegetative and reproductive development), and their effects on vegetative and reproductive variables in Lilium plants were evaluated from 120 to 270 days after sowing. The surface of seeds obtained from SeNPsD1-treated plants was further analyzed via scanning electron microscopy (SEM) coupled with energy-dispersive X-ray spectroscopy (EDS). The results demonstrate that the application of SeNPs generated variable effects depending on the phenological stage. In the vegetative stage (46 DAS), SeNPsD2 increased the number of leaves by 118%, while SeNPsD1 increased the fresh weight of leaves by 110%. Regarding ovaries, the application of SeNPsD2 resulted in a 276% increase in fresh weight and a 230% increase in dry weight, while SeNPsD1 achieved an increase of 164% in fresh weight. Furthermore, at this stage, SeNPsD2 promoted a 223% increase in the number of bulbils, a 240% increase in fresh weight, and a 199% increase in dry weight. In the reproductive stage (69 DAS), SeNPsD1 increased the leaf fresh weight by 1% and yielded a 107% increase in the number of ovaries, in addition to 307% and 328% increases in their fresh and dry weights, respectively. In the same stage, SeNPsD2 increased the fresh ovary weight by 153%, compared with the control. Finally, capsule formation was observed only under the SeNPsD1 treatment. Meanwhile, TiO₂NPs had an effect on the number of buds and the number of open buds: the number of buds increased by 115% with TiNPsD1 (69 DAS) and the number of open buds increased by 104% (46 DAS) with TiNPsD1; in the reproductive stage, the number increased by 115% with TiNPsD1 compared with the control. In the seed capsules of plants treated with selenium nanoparticles (SeNPsD1), although no surface selenium was detected via EDS, elements that had possibly been physiologically redistributed were identified, including iron (Fe), silicon (Si), and aluminum (Al). These findings confirm the hypothesis of this research, demonstrating that the foliar application of SeNPs and TiO₂NPs to Lilium plants during the vegetative and reproductive stages significantly improves their vegetative growth, reproductive development, and floral quality under controlled conditions. This work presents the first comparative evidence regarding the effects of SeNPs and TiO₂NPs on the vegetative and reproductive characteristics of Lilium Sunny Oriental, providing unprecedented information for the use of nanotechnology in ornamental horticulture. The findings confirm the potential use of nanoparticles as agents to optimize the productivity and commercial quality of ornamental flowers in highly competitive markets. Full article

(1) Background: Monilinia and Botrytis blight are significant diseases affecting wild blueberry fields, leading to substantial yield losses. Traditional methods for disease assessment rely on destructive sampling, which is labor-intensive and subjective. This study explored the use of multispectral and hyperspectral sensors through simple and machine learning approaches to detect and assess Monilinia and Botrytis blight diseases. (2) Methods: In this study, we adopted two experimental approaches: plot and patch assessment trials. These were conducted using a randomized complete block design at three locations in Nova Scotia. Disease detection was performed using vegetative indices (VIs) and spectral reflectance analysis, with destructive samples also assessed. Analysis of variance, correlations and classification approaches were used in the analysis. (3) Results: Significant spectral differences were observed between healthy and diseased plants, particularly in the near-infrared region (715–1050 nm). Nine significant wavelength bands were identified for blight disease detection. Classifier analysis revealed that support vector machines (SVM) and random forests (RF) outperformed k-nearest neighbors (KNN), achieving an overall accuracy of 96.6% and 76.8% in the broad and severity disease level classifications. (4) Conclusions: Despite some limitations, these findings underscore the potential of remote sensing tools for efficient, non-destructive disease management in wild blueberry fields. Full article

Fertilization is occasionally applied to promote early growth of outplanted tree seedlings. However, the effectiveness of fertilization can be obscured by topographic variations and competing vegetation. The aim of this study was to reevaluate the effects of fertilization and glutathione disulfide (GSSG) on Cryptomeria japonica D. Don (Japanese cedar) seedling height using a four-year dataset from a previous study showing no significant effects using linear models. The impact of treatment was examined using random forest, generalized additive models (GAMs), and structural equation models (SEMs), while accounting for topography and competing vegetation. Topographic features, including the topographic wetness index, were the primary determinants of height growth, reflecting C. japonica’s preference for moist environments. Although the effects of fertilization and GSSG were limited, the GAMs indicated marginal positive interactions in specific stable topographic contexts. The SEMs revealed that fertilization and GSSG indirectly negatively reduced height by increasing competing vegetation coverage. By applying these advanced statistical approaches, we demonstrate how treatment effects that conventional analyses might overlook can be detected, illustrating the methodological contribution of this study. These findings show that topography plays a dominant role in early C. japonica growth, and fertilization and GSSG provide only modest, context-dependent benefits. Full article

Background and Objectives: Chronic kidney disease (CKD) is closely associated with gut dysbiosis, and sulforaphane (SFN), a bioactive compound found in cruciferous vegetables, may help to mitigate this condition. Methods: These are secondary exploratory analyses from a previous study that included 16 patients with CKD (stages 3 to 5). The patients were divided into two groups: the Sulforaphane (SFN) group (400 mcg/day of SFN) and the placebo group, both of which received treatment for four weeks. Fecal DNA extraction was performed, and amplicon sequencing was conducted on an Illumina MiSeq V3 platform. The sequence data were analyzed using the QIIME 2 software package. Plasma uremic toxin concentrations (indoxyl sulfate, IS, and p-cresyl sulfate, pCS) were measured by HPLC with fluorescence detection. Results: No significant differences were observed in the gut microbiota alpha microbial richness and diversity after supplementation. However, supplementation with SFN altered the taxonomic composition and resulted in changes to the complexity of the microbial network. A distinct set of Amplicon Sequence Variants (ASVs) was observed post-supplementation with SFN, dominated by genera such as Megamonas, Sphingobium, Clostridia, and Hungatella, indicating a treatment-specific microbial signature. The placebo group showed significant increases in IS and pCS, whereas the SFN group presented non-significant changes. Conclusions: SFN supplementation for one month did not significantly alter microbial diversity or uremic toxin levels in non-dialysis CKD patients; however, it led to changes in microbial composition and network complexity, suggesting a modulatory effect on specific microbial interactions. Full article

Fusarium verticillioides, an important global pathogenic fungus, compromises crop quality and yield by infecting maize, sugarcane, and some Solanaceae, endangering food security through contaminated grains and cereals with the fumonisin B1 (FB1) toxin. While Con7 has been reported as a transcription factor involved in the sporulation and pathogenicity of some pathogenic fungi, the function of FvCon7 and its regulatory genes in F. verticillioides remains uncharacterized. Gene deletion mutants of ΔFvcon7 were constructed through homologous recombination, which exhibited defects in vegetative growth, survival, sporophore development, conidiation, conidial germination, and carbon metabolism. Carbon metabolism defects led to a significant accumulation of glycogen granules in hypha and lipid bodies in conidia. Additionally, ΔFvcon7 displayed impaired cell wall structure and integrity, along with an altered expression of genes encoding cell wall-degrading enzymes (such as chitinase), as detected by qRT-PCR. Moreover, Fvcon7 also plays a role in the pathogenicity of maize and sugarcane through different splicing, defective conidia, reduced survival viability, differential expression of secreted proteins, and deficiencies in antioxidant stress capacity. Furthermore, using yeast one-hybrid (Y1H) assays, FvCon7 was found for the first time to directly regulate the expression of FvFUMs by binding to the CCAAT box within the promoters of six key FvFUMs, thereby affecting FB1 production. Overall, FvCon7 functions as a global transcription factor regulating multiple phenotypes. This study provides a theoretical basis for elucidating the mechanism of transcription factor FvCon7 regulating toxin production and pathogenesis in F. verticillioides. Full article

Abandoned coal mine lands, particularly waste coal piles that predate the Surface Mining Control and Reclamation Act (SMCRA) of 1977, pose significant environmental and safety risks. Unlike sites mined after SMCRA—where operators are legally mandated to conduct reclamation—there is no legal obligation for companies or individuals to restore lands disturbed before the law’s enactment. As a result, these historical sites remain largely unmanaged and understudied. This study develops a satellite imagery-based analytical workflow to identify and monitor such historical waste coal piles. Using supervised classification of Sentinel-2 imagery with four machine learning models, we identified waste coal piles in both active mining areas and regions disturbed prior to SMCRA. Among the models tested, Random Forest achieved the highest accuracy for classifying waste coal, with a precision of 86% and a recall of 77%. A subsequent time-series analysis revealed that historical waste coal piles have undergone gradual but consistent vegetation recovery since 1986, indicating a natural reclamation process. These areas showed minimal changes in disturbance magnitude, suggesting the absence of significant disturbing events. In contrast, active mining regions showed substantial disturbance consistent with ongoing operations. The combined classification and change detection approach successfully distinguished historical waste coal piles from those in active mining regions, with a precision of 78% and recall of 100%. These findings highlight the potential of remote sensing and temporal analysis to support the identification and assessment of historical waste coal piles. The proposed approach can help prioritize reclamation efforts and inform policy decisions addressing the long-term environmental impacts of historical coal mining. Full article

Understanding the tradeoff and synergy among ecosystem services (ESs) and their influencing factors is a prerequisite for simultaneously managing multiple ESs and holds significant importance for achieving harmonious regional development between humans and nature. Existing research predominantly focuses on the overall characteristics of tradeoff and synergy, while studies on spatially differentiated tradeoff and synergy characteristics remain limited. In addition, their driving mechanisms are not yet fully understood, especially in large-scale river basins. This study, taking the Yellow River Basin (YRB) from 2000 to 2023 as the study area, employed multi-source data and multiple models to quantify three ESs, including soil erosion negative service (indirectly reflecting the soil conservation service function), carbon sequestration, and water yield. Combining Pearson correlation analysis, a geographically weighted regression model, and optimal parameter geographical detection, we identified the spatiotemporal interaction relationships and their dominant drivers. The results indicated that soil erosion negative services decreased by 24.89%, while carbon sequestration and water yield increased by 53.30% and 38.47%, respectively. The most significant improvements in the three ESs were observed in the midstream of the YRB. Spatially, soil erosion negative service decreased from west to east. Carbon sequestration exhibited a spatial pattern of higher values in the south and east and lower values in the north and west. Water yield decreased from south to north. Tradeoff relationships existed between soil erosion negative service and carbon sequestration and between soil erosion negative service and water yield. A synergistic relationship existed between carbon sequestration and water yield. Over time, the proportion of areas showing synergy among these three ESs decreased. However, synergistic areas remained more common than tradeoff areas. This was especially evident in the relationship between carbon sequestration and water yield, where synergy consistently accounted for over 78% of the YRB. Rainfall, soil properties, and fractional vegetation cover were identified as important drivers of the tradeoff/synergy between soil erosion negative service and carbon sequestration. Rainfall, temperature, fractional vegetation cover, and elevation were significant drivers of the interactions between carbon sequestration and water yield. Population density, fractional vegetation cover, GDP density, and rainfall were the main influencing factors for the tradeoff/synergy between soil erosion negative service and water yield. Our general methodology and results provide valuable decision-making references for policymakers, highlighting the necessity of considering the spatiotemporal heterogeneity in ESs tradeoff characteristics and their underlying driving factors. Full article

This two-part study assesses the impact of biogas inhibition on large-scale waste-to-energy anaerobic digestion (WtE-AD) plants through techno-economic and life cycle assessment approaches. The first part addresses technical and economic aspects. An anaerobic co-digestion system using vegetable waste (FVW) and meat waste (MW) was operated at laboratory scale in a semi-continuous regime with daily feeding to establish a stable process and induce programmed failures causing methanogenic inhibition, achieved by removing MW from the reactor feed and drastically reducing the protein content. Experimental data, combined with bioprocess scale-up models and cost engineering methods, were then used to evaluate the effect of inhibition periods on the profitability of large-scale WtE-AD processes. In the experimental stage, the stable process achieved a yield of 521.5 ± 21 mL CH₄ g⁻¹ volatile solids (VS) and a biogas productivity of 0.965 ± 0.04 L L⁻¹ d⁻¹ (volume of biogas generated per reactor volume per day), with no failure risk detected, as indicated by the volatile fatty acids/total alkalinity ratio (VFA/TA, mg VFA L⁻¹/mg L⁻¹) and the VFA/productivity ratio (mg VFA L⁻¹/L L⁻¹ d⁻¹), both recognized as effective early warning indicators. However, during the inhibition period, productivity decreased by 64.26 ± 11.81% due to VFA accumulation and gradual TA loss. With the progressive reintroduction of the FVW:MW management and the addition of fresh inoculum to the reaction medium, productivity recovered to 96.7 ± 1.70% of its pre-inhibition level. In WtE-AD plants processing 60 t d⁻¹ of waste, inhibition events can reduce net present value (NPV) by up to 40.2% (from 0.98 M USD to 0.55 M USD) if occurring once per year. Increasing plant capacity (200 t d⁻¹), combined with higher revenues from waste management fees (99.5 USD t⁻¹) and favorable electricity markets allowing higher selling prices (up to 0.23 USD kWh⁻¹), can enhance resilience and offset inhibition impacts without significantly compromising profitability. These findings provide policymakers and industry stakeholders with key insights into the economic drivers influencing the competitiveness and sustainability of WtE-AD systems. Full article