Search Results (43,660)

Bodanella lauterborni W.M. Zimmermann and Heribaudiella fluviatilis (Areschoug) Svedelius are members of brown algae (Phaeophyceae) that exclusively inhabit freshwater habitats. Heribaudiella fluviatilis is the most frequently reported freshwater brown alga, widely distributed in the Northern Hemisphere. In contrast, B. lauterborni, one of the rarest algae globally, has been reported in only four glacial Alpine lakes and has not been observed in nature for nearly 50 years. Since 2019, the species has been considered locally extinct at its type locality, and its presence in the other three lakes is also questionable. Here, we report the occurrence of B. lauterborni in three springs on the Vlasina Plateau (Southeast Serbia), being the first finding of the species in Southeast Europe and the fifth discovery globally in environmental conditions not previously described for the species. We also provide detailed data on the morphology, ecology, and biogeography of B. lauterborni and H. fluviatilis. Additionally, we report the non-obligate association Hildenbrandio rivularis-Heribaudielletum fluviatilis discovered in two rivers. Our findings significantly expand the known ecological and geographical range of phaeophytes, highlighting Southeast Europe as a refugium for freshwater Phaeophyceae biodiversity. Full article

Nitrate-rich vegetables are increasingly recognised as a key subgroup of phytochemical-dense foods that have significant potential for preventing and managing chronic diseases. Although dietary nitrates were historically approached with caution due to concerns about nitrosamine formation, contemporary evidence highlights their beneficial effects on vascular, metabolic and cognitive functions. Ageing is characterised by endothelial dysfunction, impaired nitric oxide (NO) synthesis and increased oxidative stress, which elevates cardiovascular risk. In this context, nitrate-rich vegetables offer a natural way to restore NO bioavailability and support cardiometabolic health. This narrative review provides an integrative overview of nitrate-rich vegetables as sources of bioactive phytochemicals with therapeutic relevance. We summarise the biochemical pathways of nitrate and nitrite metabolism, including the enterosalivary nitrate–nitrite–NO cycle, the role of oral microbiota, and red blood cell-mediated nitrite reduction. Particular emphasis is placed on NOS-independent NO production, which becomes increasingly important with age, and on the synergistic interactions between dietary nitrates and other phytochemicals such as polyphenols, vitamin C, flavonoids and betalains. These compounds enhance NO stability, reduce oxidative stress, modulate inflammatory signalling and support mitochondrial function, thereby amplifying the health benefits of nitrate-rich vegetables. Beetroot, with its high nitrate content and distinctive antioxidant profile, is highlighted as a prime example. Clinical and mechanistic studies suggest that nitrate-rich vegetables may lower blood pressure, improve endothelial function and cerebral perfusion, enhance cognitive performance and muscle oxygenation, and increase exercise efficiency, particularly in older adults. Additional benefits include anti-inflammatory effects, modulation of platelet function and improvements in metabolic parameters, all of which are relevant to the prevention of chronic diseases such as hypertension, type 2 diabetes and atherosclerosis. While dietary nitrate is generally considered low-risk for healthy adults, caution is warranted in susceptible populations, such as infants and individuals with impaired renal function. Finally, significant research gaps remain, including the need for long-term, well-controlled trials and personalised strategies that account for variability in microbiota composition and nitrate metabolism between individuals. Full article

The ongoing warming–wetting trend is profoundly reshaping water and land resources (WLR) in alpine regions, challenging their ecological functions. Focusing on the Yellow River source region above Huangheyan Station, we developed a synergistic WLR allocation framework explicitly oriented towards ecological function enhancement. We systematically assessed the spatiotemporal evolution of WLR and key ecological functions from 2000 to 2020, and projected future dynamics for 2030–2060 under four SSP scenarios. A multi-objective optimization model was established to minimize water shortage, maximize water conservation capacity (WCC), maximize vegetation water use efficiency (WUE), and minimize soil erosion amount (SEA), solved using the Non-dominated Sorting Genetic Algorithm II algorithm. (NSGA-II) The results indicate significant ecological improvements over the past two decades (Net Primary Production(NPP) +14.3%, WCC +67.9%, SEA −34.1%). Critically, the optimized allocation schemes demonstrated substantial benefits across all future scenarios, enhancing WCC by 4.6–20.2%, improving WUE by 0.6–10.7%, and reducing SEA by 3.9–9.1%. This study offers a useful reference for coordinating ecological conservation and resource management in climate-sensitive and ecologically fragile alpine regions. Full article

Soil erosion in mountain environments is governed by the interaction of climatic drivers, surface conditions, and geomorphic connectivity. Recently, disturbance by large herbivores has been recognized as a potentially important but poorly quantified geomorphic driver. However, the combined effects of freeze–thaw processes and ungulate disturbance on sediment production remain unclear. This study provides quantitative field-based evidence linking deer activity to hillslope sediment flux in a montane forest catchment in central Japan. A six-year dataset (2019–2025), including climatic conditions, deer detections from camera traps, understory vegetation cover, and hillslope sediment flux (<9.5 mm) was analyzed. Multiple regression analysis was conducted using daily sediment flux as the response variable and maximum 1 h rainfall, freeze–thaw frequency, and daily deer detections as explanatory variables. The results showed that deer detections had a significant positive effect on sediment flux, whereas rainfall intensity and freeze–thaw frequency did not exhibit strong independent effects. Particle-size analysis further indicated that eroded sediment was markedly coarser than the surface soil, suggesting that short-term climatic drivers alone did not control sediment transport. These findings demonstrate that biotic disturbance by large herbivores can play a dominant role in hillslope sediment flux under cold, high-elevation conditions by modifying surface conditions and sediment connectivity. From a sustainability perspective, these results highlight the importance of managing deer populations to maintain ecosystem stability, prevent land degradation, and support sustainable forest and watershed management under changing environmental conditions. Full article

Background/Objectives: Poor diet quality is common among young Saudi adults, characterised by high fast-food intake and low fruit and vegetable consumption. This study investigated the association between diet quality and lifestyle factors using a validated short Healthy Eating Index (sHEI). Methods: This study adopted a cross-sectional design, gathering responses through a self-completed online questionnaire. Demographic data were collected. Diet quality was assessed using the Arabic version of the sHEI, physical activity was evaluated with the Arabic short form of the International Physical Activity Questionnaire (IPAQ), and sleep quality was measured using the Athens Insomnia Scale (AIS). Saudi residents aged 18–25 years were eligible; pregnant or lactating individuals and those with chronic conditions affecting dietary intake were excluded. Results: Among 478 participants (mean age 21.1 ± 1.9 years), 88.1% were female, 24.7% were overweight or obese, and half reported poor diet quality. Moderation scores were slightly higher (54.2% high), whereas adequacy scores were nearly equal (49.8% high and 50.2% low). Most participants reported low physical-activity levels (78.5%) and poor sleep quality (55.2%). Sleep quality was significantly associated with all diet quality measures, increasing the odds of good total sHEI (OR = 1.74, p = 0.003), adequacy (OR = 1.49, p = 0.034), and moderation (OR = 1.54, p = 0.021). Conclusions: Sleep quality is significantly associated with diet quality among young Saudi adults. While body mass index and physical activity showed no significant associations, improving sleep quality may promote healthier dietary behaviours. Future studies should explore pathways linking sleep and diet. Full article

Accurate vegetable disease detection in complex cultivation environments remains challenging because early lesions are often small, low-contrast, and easily confounded by cluttered backgrounds. To address this issue, we propose VDD-Net, a feature-enhanced detection network based on YOLOv10 for robust vegetable disease detection in protected agriculture. The proposed framework integrates three modules: a receptive field enhancement (RFE) module to improve local perception of small lesions, an adaptive channel fusion (ACF) module to strengthen multi-scale feature aggregation and suppress background interference, and a global context attention (GCA) module to capture long-range dependencies and improve contextual discrimination. Experiments on a custom vegetable disease dataset showed that VDD-Net achieved an mAP@0.5 of 95.2% with only 7.78 M parameters. To further evaluate robustness, zero-shot cross-domain testing was conducted on the PlantDoc dataset, where VDD-Net achieved an mAP@0.5 of 76.5%, outperforming the baseline and showing improved generalization to natural scenes. In addition, after TensorRT optimization and FP16 quantization, the model maintained real-time inference on edge platforms, reaching 89.3 FPS on Jetson AGX Orin and 24.2 FPS on Jetson Nano. These results indicate that VDD-Net provides a practical balance among detection accuracy, cross-domain robustness, and deployment efficiency for intelligent disease monitoring in modern agriculture. Full article

Aquatic macrophytes constitute essential bioindicators of the ecological status of Mediterranean wetlands. We evaluated 136 Andalusian wetlands across four biogeographical regions (Sierra Morena, Betic Ranges, Guadalquivir Valley, and Coastal Zone) by contrasting two methodological approaches. We compared a standard biological valuation index, based on hydrophyte valuation and total species richness, with a biogeographical assessment focused strictly on the originality, singularity, and integrity of hydrophyte assemblages. Results revealed a critical nonlinear decoupling between both metrics. Traditional valuation prioritized the Coastal and Guadalquivir zones, inflating the value of communities saturated by widespread taxa and masking their lower structural integrity. Conversely, the biogeographical analysis identified Sierra Morena as the reservoir of highest structural stability despite its natural species poverty. Furthermore, residual analysis exposed highly original hidden jewels systematically undervalued by standard protocols. Since richness-dependent metrics risk neglecting unique hydrophyte components, we propose a dual conservation strategy integrating irreplaceability and structural integrity. Ultimately, this framework provides actionable insights for the sustainable management of Mediterranean aquatic biodiversity, aligning conservation practices with global ecological sustainability goals. We caution that management decisions based solely on richness thresholds may inadvertently prioritize common habitats over functionally unique but species-poor refugia. Full article

Background/Objectives: Parkinson’s disease (PD) is a progressive neurodegenerative disorder that poses a substantial threat to global human health. Yam (Dioscorea opposita Thunb.) is a traditional medicinal and edible plant that has long been used in Asia, Africa, and the Caribbean. Its major bioactive components, such as dioscin and polysaccharides, have been reported to exhibit neuroprotective effects; however, the impact of dietary yam on PD progression remains to be elucidated. Therefore, we sought to evaluate its neuroprotective potential and the underlying mechanisms in 1-methyl-4-phenyl-1,2,3,6 tetrahydropyridine (MPTP)-induced PD mice. Methods: Mice received six-week dietary yam supplementation. Behavioral, histological, and neurochemical analyses were performed to assess motor function, dopaminergic neuron integrity, and dopamine levels. Gut microbiota and metabolic profiles were analyzed using 16S rRNA gene sequencing and non-targeted metabolomics. Transcriptomic sequencing and Western blot analysis of the substantia nigra pars compacta (SNc) were conducted to investigate molecular mechanisms, and integrative multi-omics analysis was applied to explore microbiota–metabolite–host interactions. Results: Yam supplementation improved motor function, preserved nigrostriatal dopaminergic neurons, and restored striatal dopamine levels in PD mice. Notably, yam was associated with the maintenance of intestinal homeostasis by strengthening barrier integrity and enriching beneficial taxa, including Ileibacterium, Lachnospiraceae NK4A136 group, and Blautia. Consistently, yam also elevated neuroprotective purines and amino acids, including inosine, xanthine, and succinic acid. At the molecular level, yam treatment modulated mitochondrial oxidative phosphorylation by increasing PGC-1α and COX7c expression, and reduced inflammasome-related neuroinflammatory signaling. Integrative modeling showed significant associations between yam-modulated genes and PD-related indices with microbiota and metabolites. Conclusion: These findings suggest that yam may represent a potential dietary strategy for alleviating PD-related neurodegeneration by modulating the microbiota–gut–brain axis. Full article

As global urbanization accelerates, biophilic urbanism has emerged as a key nature-based strategy for enhancing public health. While plants are critical active agents for psychological restoration, the specific pathways through which vegetation characteristics influence human–environment interactions remain fragmented. This knowledge gap hinders the evidence-based translation of biophilic principles into actionable urban design and governance. This study conducts a systematic bibliometric analysis of 443 peer-reviewed articles (2000–2025) at the intersection of restorative landscapes, urban settings, and plant-based interventions retrieved from the Web of Science Core Collection. Employing multiple visualization tools (VOSviewer, bibliometrix, and CiteSpace), we map publication trends, international collaborations, and thematic evolution. The results demonstrate a significant shift in the field, moving beyond the validation of foundational restorative theories (e.g., ART and SRT) to a more precise, implementation-oriented framework. This shift is characterized by the operationalization of vegetation attributes as controllable design variables, increasingly relating biophilic principles to broader nature-based solutions (NbS) agendas and evidence-informed urban governance. Thematic clustering analysis identified three core knowledge domains: (1) the role of plants as active exposure agents and behavioral mediators in psychological restoration; (2) the impact of specific plant characteristics—such as canopy structure, species diversity, and seasonal variation—on therapeutic outcomes; and (3) the integration of urban green spaces into broader governance frameworks to promote health equity and inclusive well-being. Our analysis highlights that plant-based interventions are evolving from aesthetic ornaments into precision design levers for fostering human–nature interactions. This study provides a science-based foundation for developing practical design guidelines and policy frameworks, shifting biophilic urbanism toward a robust governance strategy for creating equitable, restorative, and resilient cities. Full article

Ecosystem services (ESs) support human well-being, but their integrated assessment in urban green spaces remains challenging, particularly at the project scale, where finer spatial resolution (tens of meters) is required. Historical parks are complex socio-ecological systems with non-linear ES interactions. This study develops a design-oriented framework to assess how restoration interventions influence regulation, maintenance, and cultural ES potential provision. Indicators derived from field surveys and established models were selected according to CICES V5.2 and adapted to ecological and cultural features of historical parks. Survey units were defined for each ES section to enable a spatially explicit comparison between current and design scenarios. A normalized scoring system was applied to evaluate category-level changes and overall interaction patterns. The framework was tested on the restoration project of Monza Park (northern Italy). Results show a marked increase in cultural and regulation services (+28% and +17%, respectively), while maintenance services exhibited a slight decrease (−3%). These trends are reflected in the Cumulative Indicator Score (CIS), indicating an overall positive balance of ES provision in the design scenario. The Design Effectiveness Score (DES) showed consistently non-negative values (DES ≥ 0), reaching maximum effectiveness in transitions to woody vegetation (DES ≈ 1). The Synergy–Trade-off Score (STS) confirmed a general increase in ES supply across all categories, with a clear prevalence of synergies over trade-offs. The proposed framework supports the data-driven, spatially explicit evaluation of design alternatives and can guide decision-making in historical park restoration. Full article

Labor shortages and the need for increased productivity have accelerated the development of robotic harvesting systems for greenhouse crops; however, reliable operation under fruit occlusion and clustered arrangements remains a major challenge, particularly due to the limited integration between perception and motion planning modules. The paper presents the design and experimental validation of an autonomous robotic system for greenhouse tomato harvesting. The proposed platform integrates a rail-guided mobile base, a six-degrees-of-freedom robotic manipulator, and an adaptive end effector with a hybrid vision framework that combines convolutional neural networks and watershed-based segmentation to enable robust fruit detection and localization under occluded conditions. The proposed approach enables improved separation of overlapping fruits and provides accurate spatial localization through stereo vision combined with IMU-assisted camera-to-robot coordinate transformation. An occlusion-aware trajectory planning strategy was developed to generate collision-free manipulation paths in the presence of leaves and stems, enhancing harvesting safety and reliability. The system was trained and evaluated using a dataset of real greenhouse images supplemented with synthetic data augmentation. Experimental trials conducted under practical greenhouse conditions demonstrated a fruit detection precision of 96.9%, recall of 93.5%, and mean Intersection-over-Union of 79.2%. The robotic platform achieved an overall harvesting success rate of 78.5%, reaching 85% for unobstructed fruits, with an average cycle time of 15 s per fruit in direct harvesting scenarios. The rail-guided mobility significantly improved positioning stability and repeatability during manipulation compared with fully mobile platforms. The results confirm that integrating hybrid perception with occlusion-aware motion planning can substantially improve the functionality of robotic harvesting systems in protected cultivation environments. The proposed solution contributes to the advancement of automation technologies for greenhouse vegetable production and supports the transition toward more sustainable and labor-efficient agricultural practices. Full article

The study aimed to characterize the quality and evaluate the content of bioactive substances in cold-pressed pumpkin seed and walnut oils obtained from the specific varieties (Cucurbita pepo var. oleifera and Juglans regia L.). The analyses included the determination of acid value, peroxide value, and anisidine value. The content of chlorophylls and carotenoids was identified, and the fatty acid, phytosterol, and tocopherol profiles were characterized. The results were subjected to principal component analysis and compared with the physicochemical parameters of other popular niche oils. It was shown that both oils tested have unique, relatively simple fatty acid profiles (only 5–6 dominant acids were identified). In addition, significant differences in squalene content were observed: pumpkin seed oil showed a higher concentration than other vegetable oils. In contrast, walnut oil was found to lack squalene, which is atypical among the analyzed niche oils. Full article

The salinization of natural grasslands is a growing global concern. The Songnen Plain in northeastern China represents a typical soda–saline grassland region, yet an integrated understanding of how salinization reshapes plant, soil, and microbial components in this ecosystem remains limited. In this study, we investigated plant community characteristics, soil physicochemical properties, and soil microbial communities across a salinity gradient (from non-saline to extremely severe saline) using field surveys, laboratory analyses, and structural equation modeling (SEM). Our results showed that vegetation species diversity, the Shannon–Wiener index, and Simpson’s index all decreased from mild to severe salinization. Soil nutrient indicators, including total nitrogen (TN), total phosphorus (TP), and total potassium (TK), significantly decreased with increasing salinity. SEM revealed that plant community diversity had a significant positive effect on soil microorganisms, whereas soil properties, particularly available potassium (AK) and electrical conductivity (EC), exerted significant negative effects on microbial diversity. Together, these results provide an integrated view of how salinization restructures plant–soil–microbe interactions across the Songnen Plain grasslands. These findings improve understanding of saline–alkali grassland degradation from a plant–soil–microbe perspective and provide a theoretical basis for ecosystem restoration in this region. Full article

This paper explores the feasibility of early-season crop classification based on Sentinel-2-time series using the TimeSen2Crop dataset (≈1 million pixels, 16 crops). The aim of the study was to evaluate the spectral-phenological separability of crops during the season and compare the performance of classical tabular algorithms, deep sequence models, and a seasonally oriented hybrid stacking scheme. Based on multispectral observations, a feature set was formed from 9 optical channels and 13 vegetation indices for 30 dates. F-criteria were calculated, confirming a sharp increase in interclass separability during the active vegetative growth phase and substantiating three time series truncation scenarios (early, early + mid-season, and full season). Random Forest (macro-F1: 0.46/0.74/0.75) was used as the base tabular model. LSTM, BiLSTM, GRU, 1D-CNN, and Transformer were trained in parallel, with Transformer showing the best results among the deep architectures (0.42/0.68/0.78). The main contribution of the work is a hybrid multi-layer stacking scheme combining heterogeneous base algorithms and OOF meta-features, which provides the highest quality (0.51/0.83/0.86) in all scenarios. The obtained results confirm the effectiveness of phenology-oriented selection of time windows, informative indices, and hybrid ensemble learning for improving the accuracy of early-season crop monitoring. Full article

(1) Background: The recent decade appears to be the hottest since the beginning of modern measurements. Changes in climate patterns related to extreme events and disturbances in forest ecosystems are well documented. Six prominent protected areas (PAs), mountainous forest ecosystems in Serbia, were assessed from the perspective of species potential distribution and vulnerability. (2) Methods: Seven different machine learning models were employed, evaluated using AUC, the maximum F-measure, and TSS and joined into an ensemble model for each of the eight tree species/groups taken from the National Forest Inventory. Representatives from four groups of environmental variables were included: 1. climate (Ellenberg’s Climate Quotient), 2. soil (soil organic carbon), 3. topography (elevation), and 4. remotely sensed indices (NDVI). Future climate was derived from four scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). Stable/gain/loss areas and species vulnerability were calculated with a focus on the end of the 21st century. (3) Results: By the 2090s, generally, contraction of Silver fir, Norway spruce, and European beech is expected, together with the promotion of Downy oak and Sessile oak, in all climate scenarios at all PAs. Two high-mountain PAs expect to see promotions in average forest suitability, one PA both a promotion and a reduction in two scenarios, and three PAs reductions in forest ecosystems in general. (4) Conclusions: National parks “Kopaonik” and “Tara” appear to be the least endangered, followed by “Golija”, while “Stara planina”, “Djerdap”, and “Fruska gora” are expected to experience overall reductions in forest habitats. Full article