Search Results (499)

Climate change and soil degradation pose a challenge to grape quality, motivating the development of integrated monitoring approaches combining soil analysis with remote sensing techniques. However, harmonized information addressing this multidisciplinary challenge remains scarce. Therefore, this systematic review synthesizes the scientific literature published since 2020 with the aim of (i) identifying key soil properties and techniques applied, (ii) evaluating remote sensing approaches and their integration with soil data, and (iii) highlighting knowledge gaps and challenges for sustainable precision viticulture. A search in Scopus yielded 197 full-text articles classified into three thematic groups and analyzed using a standardized extraction protocol. Our synthesis reveals that pH, electrical conductivity, soil organic matter, and cation exchange capacity are the most consistently reported physicochemical parameters across the reviewed studies, while next-generation sequencing and multi-omics approaches are increasingly adopted in microbiological research to characterize rhizosphere communities and their links to terroir expression. In remote sensing, multispectral UAV platforms and satellite missions (Sentinel-2, Landsat) combined with vegetation indices, principally NDVI, dominate the toolset for monitoring vine vigor and water status. Nevertheless, genuine integration of remote-sensing outputs with root-zone soil measurements remains uncommon, with most studies treating both data streams independently. The principal knowledge gaps identified concern the absence of standardized sustainability assessment frameworks, limited cross-terroir transferability of predictive models, and insufficient long-term multi-site datasets to underpin climate change adaptation in vineyard management. Full article

This study evaluates the ecological impacts of seawater desalination discharge on coastal marine ecosystems through a sequential analytical framework linking systematic literature synthesis, field-monitoring evidence, spatial analysis, and predictive ecological modeling. The novelty of the study lies in combining multi-regional evidence from Mediterranean coastal zones, Persian Gulf waters, and Pacific coastal environments with threshold-based ecological risk assessment, thereby linking discharge-related environmental stressors with biological responses and ecosystem-function alterations. The systematic review first retained 750 studies published between 2004 and 2024 for qualitative synthesis. On this basis, 59 high-quality references with sufficient numerical information were selected for the main quantitative meta-analysis, while field-monitoring data were used to support the interpretation of distance-based discharge gradients. Spatial interpolation and hierarchical modeling were then applied to evaluate exposure–response patterns and ecological threshold behavior. The results showed that desalination facilities generated measurable ecological impacts mainly within 50–200 m of discharge points, with a critical transition distance of approximately 127 m where hypersaline conditions, typically 1.5–2.0 times ambient seawater levels, were associated with marked changes in marine community structure. Benthic assemblages showed taxon-specific responses, with mollusks and echinoderms exhibiting greater sensitivity than polychaetes and small crustaceans. Marine vegetation declined strongly under combined salinity, thermal, and chemical stress, while phosphonate-based antiscalants accumulated in filter-feeding organisms and produced bioaccumulation factors up to 42.1 times ambient levels. Ecosystem-function indicators, including microbial community composition and sediment organic matter processing, remained altered up to 300 m from discharge points, indicating that functional impacts may extend beyond the primary hypersaline plume. The predictive modeling framework further demonstrated that ecological risk decreased nonlinearly with distance and varied according to discharge intensity, local hydrodynamics, and biological sensitivity. These findings indicate that conventional uniform buffer-based assessment may underestimate the ecological footprint of desalination discharge. Sustainable desalination management should therefore adopt site-specific monitoring, species-sensitive protection thresholds, improved brine-management technologies, and adaptive mitigation strategies based on real-time environmental feedback. Full article

Introduction: AQUArestore is a three-year project focused on promoting adaptive ecological restoration strategies for river ecosystems in the vulnerable cross-border region of Portugal. The project responds to pressing environmental challenges across the territory, including severe habitat degradation, climate vulnerability, declining water security, and biodiversity loss, with particular concern for freshwater fish communities, making river restoration essential to preserve native species and freshwater ecosystem services. Objective: The project aims to develop a replicable framework for restoration of Mediterranean transboundary riverine habitats, supporting the objectives of the EU Nature Restoration Law (NRL, Regulation 2024/1991). The consortium AQUArestore will develop (1) robust restoration indicators, (2) implement living labs for restoration experimentation, and (3) establish capacity-building and training programs for technicians and citizens. Methodology: The project kick-off meeting was used to operationalize project tasks, detail the implementation calendar and milestones, and clarify responsibilities of each project member and partner institutions within the different work tasks. The meeting gathered consortium members from the coordinating institution CEF-ISA (researchers at the Instituto Superior de Agronomia) and partners WWF Portugal (an environmental NGO) and Mushmore Cooperative, each one contributing according to their respective expertise and institutional objectives. Results: The AQUArestore project kick-off meeting took place in January 2026 at ISA, Lisbon, and included a presentation of the NRL and a detailed discussion of project task development. In detail, the activities will begin with the compilation of information on previously restored sites (Task 1). This will support the development and validation of environmental and biodiversity indicators of restoration outcomes, including those linked to freshwater fish assemblages and riparian vegetation (Task 2). The project will then establish two living labs as platforms to test nature-based solutions in collaboration with stakeholders and local communities (Task 3). In parallel, AQUArestore will strengthen technical capacity through training for practitioners and public authorities (Task 4). Finally, dissemination will be supported through citizen science, communication activities, and stakeholder engagement, fostering a broader impact (Task 5). Together, these tasks provide an integrated, science-based, and participatory framework aiming to support adaptive river restoration under climate and environmental changes. Conclusions: By integrating ecological restoration, biodiversity and environmental monitoring, and stakeholder engagement, AQUArestore is expected to contribute to the recovery of Mediterranean freshwater ecosystems and improve habitat quality and connectivity for native fish communities, enhancing resilience to climate change and other anthropogenic pressures. Full article

Protected areas (PAs) are increasingly challenged by the need to reconcile biodiversity conservation with sustainable human use, particularly in landscapes containing underutilized or resting area (RA). This study evaluated the potential of resting forest and agricultural lands to enhance biodiversity and support sustainable land use within protected areas of Cesme, Türkiye. A Geographic Information System (GIS)-based multi-criteria evaluation approach was employed, integrating land cover data, soil group maps, topographic parameters, and protected area classifications to generate Plant Suitability Maps (PSMs). Eight thematic layers were developed, incorporating soil depth, slope, erosion risk, and land capability classes to identify suitable plant species and land-use options. The results indicate that the strategic use of resting agricultural lands could contribute up to 35.5% to ecological enhancement, while resting forest lands could contribute an additional 18%. The proposed plant assemblages include medicinal and aromatic species, erosion-control plants, and economically valuable perennial species that support ecosystem services such as pollination, beekeeping, and agro-tourism. Overall, the findings demonstrate that integrating RA management into conservation planning can simultaneously strengthen biodiversity, improve ecosystem services, and generate socio-economic benefits for local communities. The proposed GIS-based framework offered a transferable and scalable methodology for sustainable land management in Mediterranean landscapes and other protected regions worldwide. Also, in this research, the aim was to determine plant species using GIS-based suitability analyses of multi-spatial datato guide vegetation decisions in multi-criteria PA. Full article

Machine learning approaches to wildfire spread prediction are constrained by the lack of standardized, multi-source, spatiotemporal datasets that fuse terrain, weather, and fire-state information into a single ML-ready format. We present WildfireCube, a reproducible event-centric pipeline and methodology for constructing dense fourth-order spatiotemporal tensors of shape (T, C, H, W) at 30 m spatial and 3 h temporal resolution. Following the analysis-ready data convention established in the Earth Observation community, the pipeline fuses four open data sources: the Copernicus GLO-30 Digital Elevation Model for static terrain derivatives, ERA5-Land reanalysis for hourly weather forcing, Sentinel-2 Level-2A imagery for spectral vegetation and burn-severity indices, and NASA FIRMS active-fire hotspot detections for fire-state reconstruction via ordinary kriging. The resulting 13-channel normalized tensor separates causal drivers into three physically motivated groups: static landscape controls (elevation, slope, aspect, fuel load), dynamic atmospheric forcings (wind components, temperature, precipitation), and evolving fire state (fire-front mask, burn severity, fractional burn, observation confidence). A physics-informed normalization framework maps all channels to bounded ranges using fixed physical constants rather than sample statistics, ensuring cross-event comparability and exact invertibility. We demonstrate the pipeline on 13 wildfire events across the United States, Canada, and Greece (2017–2023), producing a processed catalog exceeding 300 GB compressed and spanning a 14-fold range in burned area, a 27 °C range in mean temperature, and different fire regimes. Event tensors are stored in chunked Zarr archives with Zstandard compression, achieving a 2.58× compression ratio. As future work, the pipeline will be applied to a 40-event target catalog projected to exceed 2 TB of raw data, providing the multi-regime diversity and scale required for training robust deep learning models for spatiotemporal wildfire prediction. Full article

This review aims to critically examine food industry by-products as potential sources of natural preservatives and to discuss how this evidence can be translated into adolescent food literacy, label interpretation, and critical food choices. Adolescents are increasingly exposed to food labels and claims about “natural,” “clean-label,” “upcycled,” “sustainable,” and “circular” foods, which may not always be transparent or supported by sufficient evidence regarding their safety, efficacy, sensory quality, consumer acceptance, or environmental benefit. Therefore, they need more than nutritional information; they need to interpret labels, question sustainability claims, and understand how food innovations are produced, tested, communicated, and regulated. Food by-products such as fruit and vegetable pomaces, peels, seeds, skins, olive and wine residues, cereal by-products, coffee silverskin, and cocoa residues are promising resources for clean-label preservation and circular food systems because they may contain phenolics, flavonoids, carotenoids, anthocyanins, essential oils, pectin, dietary fibers, and other compounds with antioxidant, antimicrobial, coloring, stabilizing, and texturizing properties. However, the bioactive potential alone does not guarantee that a by-product-derived ingredient is safe, effective, acceptable, scalable, or sustainable. Its use requires extraction, stabilization, real-food validation, safety assessment, sensory optimization, regulatory compliance, and sustainability evaluation. The review concludes that by-product-derived natural preservatives are both technological resources and educational tools. Future research and education should connect food preservation, label interpretation, food safety, sensory quality, sustainability evidence, and consumer decision-making to empower adolescents as critical consumers and informed agents of change in sustainable food systems. Full article

Cold-temperate forest ecosystems in northeastern China have experienced significant changes due to long-term anthropogenic disturbances. To elucidate how different natural forest stands influence the structure, function, and assembly processes of soil microbial communities, we performed 16S rRNA and ITS amplicon sequencing (n = 3 plots per stand) across three natural stands in Northeast China: a 10-year-old natural poplar forest (A1), a 20-year-old natural larch mixed forest (A2), and a 40-year-old natural spruce-pine mixed forest (A3). The results demonstrated that significant variations in aboveground vegetation were accompanied by significant differences in soil physicochemical properties. Specifically, soil organic carbon (SOC) and total nitrogen (TN) were significantly lower in A1 compared to the coniferous stands (p < 0.05). While α-diversity remained stable across stands (p > 0.05), β-diversity revealed distinct community structures (PERMANOVA, p < 0.05). Neutral Community Model (NCM) analyses indicated a shift in bacterial assembly from a stronger stochastic influence in A1 (R² = 0.431) to a more prominent deterministic influence in A3 (R² = 0.188). Because stand age and canopy composition co-vary in our sampling design, we cannot fully disentangle their individual contributions. This comparative observational study reveals distinct soil microbial community structures across the three natural forest types. The transition across forest stands was associated with shifts in dominant microbial taxa and a tendency toward stronger deterministic assembly processes in coniferous stands. These patterns are consistent with differences in litter quality and soil physicochemical properties, providing observational evidence that may inform sustainable management of cold-temperate forests. Full article

Public Open Spaces (POSs) are fundamental to sustainable urban development, yet their planning and design potential as resilience-generating infrastructure in coastal cities remains insufficiently explored. In tsunami-prone contexts, POSs can be reconceptualized as multifunctional spatial systems that integrate environmental sustainability with disaster-responsive urban design. This study investigates how POSs can be planned and designed as tsunami-responsive infrastructure to enhance coastal urban resilience. Using a grounded theory approach supported by a focused literature review, data were collected through 72 unstructured interviews with tsunami-affected communities, urban planners and designers, disaster resilience experts, sociologists, and coastal environmental planners, etc. The findings identify three resilience-oriented POS typologies: (1) evacuation-integrated open spaces structured as spatial corridors and elevated assembly landscapes; (2) protective and mitigative landscapes employing topographic modulation, vegetative buffers, and water-sensitive design; and (3) adaptive shelter-embedded open spaces designed as flexible civic grounds capable of rapid transformation into temporary refuge infrastructure. The study proposes an architectural and urban design framework that positions POSs as adaptive coastal infrastructure simultaneously serving everyday civic functions while supporting evacuation, mitigation, emergency response, and climate adaptation. This approach advances resilience-focused architecture and risk-informed coastal urbanism. Full article

This article analyzes the information provided by the sedimentary sequences of 29 lakes in central Mexico, 10 of which are currently paleolakes. During the Late Quaternary, the lakes of central Mexico experienced environmental changes driven by global and local climatic and geological processes, showing regional trends of wet and dry periods. Paleoenvironmental reconstructions are based on the use of 20 indicators, including diatoms, pollen, geochemistry, mineralogy, granulometry, magnetic susceptibility, and isotopes. Seven major episodes are recognized in the historical evolution of the lakes of central Mexico: i. Late Miocene–Pliocene: A period that includes the formation of large lakes in central Mexico by volcano tectonic activity under a regime of continuous humidity. ii. Pleistocene–Drought and climatic variability of the interglacial period. iii. Drying and successive lacustrine transgression during the Last Glacial Maximum. iv. Spatial climate variability in the Heinrich 1 period. v. Lake regression and expansion of terrestrial vegetation in the Bølling–Allerød period. vi. Transgression of lakes of central Mexico during the Younger Dryas and mid-Holocene periods. vii. Late Holocene: A period that includes lake desiccation influenced by the impact of human activities. The analysis of the data allows us to propose six challenges for the scientific community in future research of central Mexico. Full article

Plant diversity is a key indicator of ecosystem structure, function, and restoration status, yet its rapid assessment remains challenging in sandy ecosystems where vegetation is sparse, spatially heterogeneous, and strongly affected by exposed soil backgrounds. In such environments, conventional greenness-based spectral indices may not adequately capture species-level variation because plant communities are controlled not only by photosynthetic biomass but also by soil moisture, micro-topography, and dune-related habitat heterogeneity. This study evaluated the potential of Sentinel-2-derived spectral indices for estimating plant α-diversity in the Hunshandak Sandland, northern China. Based on field observations from 888 plots collected during 2017–2024, four α-diversity metrics—species richness, Shannon–Wiener index, Simpson index, and Pielou evenness index—were calculated and compared with 21 spectral indices using correlation analysis, partial least squares regression (PLSR), and random forest (RF) models. The results showed that model performance varied substantially among diversity metrics. Species richness was estimated with the highest accuracy, whereas Shannon–Wiener, Simpson, and Pielou indices showed weaker predictability, indicating that remotely sensed spectral indices were more sensitive to species number than to abundance distribution and evenness. Moisture- and soil-background-sensitive indices, including the Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI), Bare Soil Index (BSI/BRI), and Chlorophyll Absorption Ratio Index (CARI), showed relatively stable relationships with plant diversity across different vegetation gradients. Although the overall explanatory power was moderate rather than high, the results demonstrate the practical value of Sentinel-2 spectral indices for regional screening of plant diversity patterns in sandy ecosystems. This study provides empirical evidence for biodiversity monitoring and ecological restoration assessment in semi-arid sandy landscapes and highlights the need to integrate environmental covariates, multi-source remote sensing, and phenological information in future studies. Full article

Floodplains are key components of inland river systems of Australia with floodplain vegetation playing important roles in habitat provision, nutrient cycling, and supporting strong cultural values. These vegetation communities are highly dynamic, particularly in response to flooding. However, decades of water development and highly managed water resources are linked to wetland habitat decline in this region. We explored patterns of vegetation response to flooding over twenty years at the Narran Lakes Ramsar site, a terminal floodplain wetland system in the northern Murray–Darling Basin, Australia. We collated data from previous monitoring efforts and resampled permanent plots for understorey vegetation structure and composition. Three flood events were surveyed over a 20-year period, with each event surveyed on two occasions first, following initial drawdown (minimal standing water) and a second survey under dry or drier conditions (~6 months after the recession of floodwaters). Overall, we observed a high diversity of native plant species (~110 species) in understorey communities across the wetland and high compositional turnover both between flood events and within years (i.e., paired surveys). Notably, vegetation cover, but not species richness, was greatest in the 2023 survey following the largest of the three flood events investigated. Understorey composition was strongly driven by inundation regimes, particularly the duration of recent inundation, and the number of wet and dry years prior. Large flood events are critical for supporting vegetation resilience in these systems, increasingly so under a drier climate and with stretched water resources. Continued long-term monitoring of vegetation through flood cycles at the Narran Lakes will be critical to understanding ecological responses to longer-term changes in climate and hydrology to inform adaptive water management and maintain the values of this Ramsar site. Full article

This study proposes an interdisciplinary approach that integrates bioclimatology, agronomy, environmental education, and information and communication technologies (ICT) to analyze their potential to support sustainable land management in the context of climate change. The research focuses on the application of bioclimatic indices, the continentality index (Ic), the ombrothermic index (Io), and the thermicity index (It/Itc), combined with the use of a virtual herbarium as a didactic resource for interpreting ecological indicators associated with vegetation. The study was conducted using a pretest–posttest design aimed at assessing students’ self-reported understanding of ecological concepts, bioclimatology, geobotany, and the use of digital tools for learning plant species. The results show a significant improvement in students’ perceived understanding following the educational intervention, with the mean questionnaire score increasing from 21.99 (SD = 5.03) in the pretest to 31.33 (SD = 5.06) in the posttest (t(69) = 37.13, p < 0.001). The normalized gain (g = 0.42) indicates a moderate improvement in students’ self-reported comprehension of bioclimatic and ecological concepts. These findings highlight the potential of ICT to strengthen environmental education and to foster the development of competencies related to sustainable agricultural and forest land management. Full article

Background/Objectives: In Italy, food waste within school meal services represents a major public health and sustainability challenge, with approximately 21.7% of meals discarded, and vegetables and legumes among the most frequently rejected components. Low consumption of these foods during childhood contributes to unhealthy dietary trajectories and increased long-term cardiometabolic risk. Evidence indicates that information-based nutrition education alone is insufficient to modify children’s eating behaviors within complex food environments. This study aimed to describe and evaluate the LO-VEg project, a school-based intervention designed to address dietary behavior and food waste simultaneously by integrating environmental nudging with child-centered communication strategies. Methods: The LO-VEg project was implemented as a quasi-experimental ecological school-based intervention combining environmental nudging strategies and multisensory communication tools to promote vegetable and legume consumption in primary school canteens. The intervention involved approximately 1500 pupils across four primary schools in the Lombardy region of Italy and was conducted over a 10-week period within routine school meal settings. Consumption outcomes were assessed through aggregated anonymous plate-waste observations collected during school meals. Results: Preliminary aggregated analyses indicated favorable trends in vegetable and legume consumption and plate-waste reduction during the intervention period. The broader intervention architecture also included communication, digital, and family-oriented components, which are described in the present manuscript as part of the implementation framework. Conclusions: The LO-VEg project suggests that integrating environmental nudging with child-centered communication strategies may represent a scalable approach to improving dietary behaviors and reducing food waste in school settings. Full article

Background: Mindful eating strategies have shown promise in addressing obesity and food insecurity among children. However, limited research has examined the acceptability of mindful eating programs among low-socioeconomic families in rural areas. This study evaluated caregivers’ and teachers’ acceptability and satisfaction with a 14-week, school-based mindful eating program for preschoolers to inform future implementation. The program effectively improved home eating environment, household food insecurity, and child body mass index. Methods: A convergent parallel mixed methods study design was used to evaluate the 14-week mindful eating intervention among 200 preschoolers from 26 Head Start classrooms in rural Michigan, United States. After intervention completion, acceptability and satisfaction data were collected and assessed from 192 caregivers and 23 classroom teachers via (1) quantitative online survey data analyzed using descriptive statistics, and (2) qualitative data from individual interviews completed with a subset of parents and teachers that were analyzed with thematic analysis. Results: Both quantitative and qualitative data showed high acceptability and satisfaction. Caregivers (survey: 88.9%, interview: 94.1%) and teachers (survey: 87.0%, interview: 100%) were satisfied with the program. Teachers (survey: 82.6%, interview: 87.5%) agreed the program improved children’s eating behaviors. Most surveyed caregivers (81.1%) agreed the completion of child letters sent home after the program session helped caregiver–child communication. Several barriers and suggestions for implementation were also identified by interviewed teachers and caregivers, including the limited availability of specific fruits and vegetables in local areas, concerns about preschoolers’ comprehension of curriculum, and recommendations on improving recruitment strategies. Conclusions: This study highlighted the high acceptability and satisfaction of a mindful eating program among caregivers and classroom teachers. The findings offered implications for future interventions to integrate mindful eating programs into early childcare organizations to help address child obesity and food insecurity. Future research exploring nutrition-related policies to sustain implementation of mindful eating programs is needed. Clinical Trial Registration: The clinical trial was registered at ClinicalTrials.gov (NCT05780008) on 27 February 2023. Full article

The advent of smart farms, enabled by information and communication technologies (ICT) and the Internet of Things (IoT), has improved productivity and sustainable agriculture. However, the large-scale implementation of smart farms is currently hampered by physical constraints. These constraints have led to the concept of open-field smart farming as a viable alternative. In this paradigm, data from unmanned aerial vehicles (UAVs) play a central role in effective and sustainable agricultural management. The quantitative analysis of such data requires highly reliable technological solutions. The objective of this study is to conduct a comparative analysis of image binarization algorithms for UAV-based soybean canopy extraction across growth stages and to contribute to the development of an image labeling methodology. UAVs were used to capture images of soybean fields at different growth stages, and a comparative analysis was performed using binarization image algorithms. The performance of each algorithm was evaluated using Normalized Cross Correlation (NCC) and Mean Absolute Error (MAE). The results indicate that the Excess Green (ExG) and Excess Green minus Excess Red (ExGR) vegetation indices provide accurate and stable soybean canopy extraction across growth stages when combined with Adaptive and Otsu binarization algorithms. These indices are particularly suitable for extracting soybean canopy from UAV-based data, thereby expanding the scope of precision analysis in the agricultural sector and providing data for advancing precision agriculture technology. This study contributes to the standardization and efficient use of UAV-based agricultural data processing. However, since manual weeding was performed prior to image acquisition to ensure that only soybean plants were present, reflecting standard agricultural practices in South Korea, additional validation would be required for application in fields where weeds are naturally present. Full article