Search Results (33,569)

The Cape Canaveral Barrier Island, home to the National Aeronautics and Space Administration (NASA)’s Kennedy Space Center and the United States (U.S.) Space Force’s Cape Canaveral Space Force Station, is situated in a unique ecological transition zone that supports diverse wildlife. This study evaluates the recent changes in vegetation cover (2016–2023) and dune elevation (2007–2017) within the Cape Canaveral Barrier Island using high-resolution optical satellite and light detection and ranging (LiDAR) data. The study period was chosen to depict the time period of a recent increase in rocket launches. The study objectives include assessing changes in vegetation communities, identifying detectable impacts of liquid propellant launches on nearby vegetation, and evaluating dune elevation and tide level shifts near launchpads. The results indicate vegetation cover changes, including mangrove expansion in wetland areas and the conversion of coastal strands to denser scrubs and hardwood forests, which were likely influenced by mild winters and fire management. While detectable impacts of rocket launches on nearby vegetation were observed, they were less severe than those caused by solid rocket motors. Compounding challenges, such as rising tide levels, beach erosion, and wetland loss, potentially threaten the resilience of launch operations and the surrounding habitats. The volume and scale of launches continue to increase, and a balance between space exploration and ecological conservation is required in this biodiverse region. This study focuses on the assessment of barrier islands’ shorelines. Full article

Postharvest diseases cause considerable losses of fruits and vegetables during transportation and storage, and synthetic fungicides are the first option for their prevention. However, promising alternatives to chemical fungicides are currently available, and several post-harvest diseases can be controlled using microbial antagonists. This study utilised a comprehensive methodology to assess the antagonistic and synergistic interactions between four yeasts and two bacteria in conjunction with sodium bicarbonate (SB) during the treatment of sweet cherries and plums. The aim of this study was to evaluate the effects of microbial antagonists and sodium bicarbonate on fruits. The in situ treatments showed a protective effect exerted by the antagonists P. guillermondii and H. uvarum, and their combination with SB. However, in vivo studies did not indicate enhanced efficacy when combined with this compound. In conclusion, the use of microbial antagonists in conjunction with SB has been successful in preventing post-harvest rot of cherries and plums. Tests conducted on live organisms have shown that microbial antagonists are viable alternatives to synthetic fungicides for the control of stone fruit rot. Full article

The Yellow River Basin is rich in coal resources, but the ecological environment is fragile, and the ecological degradation of vegetation is exacerbated by the disruption caused by high-intensity mining activities. Analyzing the dynamic evolution of vegetation in the Henan section of the Yellow River Basin and its mining areas over the long term run reveals the regional ecological environment and offers a scientific foundation for the region’s sustainable development. In this study, we obtained a long time series of Landsat imageries from 1987 to 2023 on the Google Earth Engine (GEE) platform and utilized geographically weighted regression models, Sen (Theil–Sen median) trend analysis, M-K (Mann–Kendall) test, coefficient of variation (CV), and the Hurst index to investigate the evolution of vegetation cover based on the kNDVI (the normalized difference vegetation index). This index is used to explore the spatial and temporal characteristics of vegetation cover and its future development trend. Our results showed that (1) The kNDVI value in the Henan section of the Yellow River Basin exhibited a trend of fluctuating upward at a rate of 0.0509/10a from 1987 to 2023. The kNDVI trend in the mining areas of the region aligned closely with the overall trend of the Henan section; however, the annual kNDVI in each mining area consistently remained lower than that of the Henan section and displayed a degree of fluctuation, predominantly characterized by medium–high variability, with areas of moderate and high fluctuations accounting for 73.5% of the total. (2) The kNDVI in the study area showed a significant improvement in vegetation cover and its future development trends. We detected a significant improvement in the kNDVI index in the area; yet, significant improvement in this index in the future might cause vegetation degradation in 87% of the study area, which may be closely related to multiple factors such as the intensity of mining at the mine site, anthropogenic disturbances, and climate change. (3) The vegetation status of the Henan section of the Yellow River Basin shows a significant positive correlation with distance from mining areas, accounting for 90.9% of the total, indicating that mining has a strong impact on vegetation cover. This study provides a scientific basis for vegetation restoration, green development of mineral resources, and sustainable development in the Henan section of the Yellow River Basin. Full article

Background: The prevalence of obesity and related complications is increasing relentlessly worldwide. The effect of intentional weight loss strategies for obese individuals on fat-free muscle mass (FFMM) and metabolic and general health is not well known. The aim of this research is to measure the effects of dietary intake and physical activity level on FFMM change during intentional weight loss in obese subjects. Materials and Methods: Nine hundred and sixty-five overweight and obese community free-living subjects had the effects of physical activity level and dietary intake on FFMM change during intentional weight loss assessed in a prospective longitudinal study. Anthropometric, physical activity, dietary intake, inflammatory markers, and oxidative damage were assessed at baseline and follow-up. Validated questionnaires were used to measure dietary intake and physical activity. We compared FFMM loss or gain between subjects stratified by calorie, protein, and fruit and vegetable intake and physical activity levels. The Cox proportional hazards analysis was used to determine the independent effects of dietary intake and physical activity on FFMM changes. Results: A total of 965 subjects [(mean (SD) age 39 ± 12 years, 801 (83%)] females] were assessed at baseline with follow-up for a period of 427 ± 223 days. Using the WHO criteria for body mass index (BMI), 284 (30%) subjects were found to be overweight and 584 (62%) were obese. We found significant correlations between fat–muscle mass ratio (FMR) and inflammatory and oxidative damage markers. After adjusting for important prognostic indicators, age, gender, occupation, physical activity, and fruit and vegetable consumption were found to be significantly associated with FFMM at baseline (p < 0.05). We found no statistically significant difference in dietary protein or amino acids intake in subjects who gained FFMM compared to those who lost FFMM both at baseline and follow-up. By contrast, high consumption of fruits and vegetable and increased calorie intake were associated with increased odds of FFMM gain (p < 0.05). Increased physical activity was independently associated with significant FFMM gain after adjusting for other important indicators ([hazard ratio (95% CI): 0.49 (0.25, 0.97); p = 0.039]. Conclusions: Increased physical activity and high calorie, fruit and vegetable intake are associated with FFMM preservation or gains during intentional weight loss in obese subjects. Full article

In the context of climate change, wildfires occur more frequently and significantly impact the vegetation–soil–water continuum. Soil water is a critical factor for understanding wildfire occurrence and predicting wildfire hazards. However, there is a lack of specific bibliometric analysis of the research on the mechanisms by which soil water influences wildfire occurrence. Therefore, this study conducted a bibliometric analysis of wildfire and soil water, aiming to understand their relationship, research characteristics, and future development trends. We used the Bibliometrix software package in R 4.4.0, which provides different methods for analyzing bibliometric data. A total of 1585 publications were analyzed from 1990 to 2023. The results of the study showed that the number of publications showed an overall growth trend during the period, with an average annual increase rate of 4.4%. The average annual citations per paper exhibited a pattern of rapid increase, followed by slow growth, and then rapid decrease. Ten highly productive authors in the field contributed 12.2% of the total publications during this period. Over the past 30 years, the University of Aveiro has consistently ranked first in terms of paper quantity. Most of the top ten productive institutions are in the United States, Australia, and several European countries. Fifty-eight countries engage in research related to wildfires and soil water, with close collaboration observed between the United States, Canada, and Spain. The four most frequently used keywords are “wildfire”, “fire”, “water repellency”, and “runoff” (with a total frequency of 1385). Water properties relevant to soil characteristics in the word cloud primarily include hydrophobicity, runoff, erosion, and infiltration. Erosion, wildfires, and runoff are crucial in the field but have yet to receive substantial development. The correlation of post-wildfire soil water properties with infiltration, runoff, and erosion processes is most likely to be addressed in future research. The findings will help researchers assess the post-wildfire disaster chain and its impact on the ecological environment, with clear trends, gaps, and research directions in the areas. Full article

Net ecosystem productivity (NEP) plays a vital role in quantifying the carbon exchange between the atmosphere and terrestrial ecosystems. Understanding the effects of dominant driving forces and their respective contribution rates on NEP can aid in the effective management of terrestrial carbon sinks, especially in rapidly urbanizing coastal areas where climate change (CC) and human activities (HA) occur frequently. Combining MODIS NPP products and meteorological data from 2000 to 2020, this paper established a Modis NPP-Soil heterotrophic respiration (R_h) model to estimate the magnitude of NEP in China’s coastal zone (CCZ). Hotspot analysis, variation trend, partial correlation, and residual analysis were applied to explore the spatiotemporal patterns of NEP and the contributions of CC and HA to the dynamics of NEP. We also explored the changes in NEP in different land use types. It was found that there is a clear north–south difference in the spatial pattern of NEP in CCZ, with Zhejiang Province serving as the main watershed for this difference. In addition, NEP in most regions showed an improvement trend, especially in the Beijing–Tianjin–Hebei region and Shandong Province, but the pixel values of NEP here were generally not as high as that in most southern provinces. According to the types of driving forces, the improvement of NEP in these regions primarily results from the synergistic effects of CC and HA. NEP changes in provinces south of Zhejiang are mainly dominated by single-factor-driven degradation. The area where HA contributes to the increase in NEP is much larger than that of CC. From the perspective of land use types, forests and farmland are the dominant contributors to the magnitude of NEP in CCZ. Full article

Prosthetic valve endocarditis (PVE) is the medical term used to describe a focus of infection involving a valvular substitute within the heart. It is a significant concern in the field of cardiology, and the epidemiology of PVE has seen notable developments over the last five decades. The disease currently affects an older demographic and is becoming increasingly prevalent in patients with transcatheter-implanted valves. It is imperative that we urgently address the significant challenges posed by PVE. It is a disease that has a wide range of potential aetiologies, clinical presentations, and courses. In developed countries, Staphylococcus aureus is now the predominant causative organism, resulting in an aggressive form of disease that frequently afflicts vulnerable or elderly populations. However, it is clear that Enterococcus species present a significant challenge in the context of PVE following TAVR procedures, given their elevated prevalence. The 2023 Duke/International Society for Cardiovascular Infectious Diseases infective endocarditis diagnostic criteria now include significant developments in microbiological and image-based techniques for diagnostic purposes, specifically the incorporation of fluorine-18 fluorodeoxyglucose positron emission tomography and computed tomography. These developments unequivocally enhance the diagnostic sensitivity for PVE, while maintaining the specificity. They do so in accordance with the results of studies conducted specifically for the purpose of validation. The lack of rigorous scientific studies and a shortage of funding and resources for research have led to a significant gap in our understanding. Randomized controlled trials could provide invaluable insight and guidance for clinical practice, but they are missing, which represents a major gap. It is clear that there is an urgent need for more research. PVE is a life-threatening condition that must be handled by a multidisciplinary endocarditis team at a cardiac centre in order to improve outcomes. The emergence of innovative surgical techniques has empowered clinicians to steer more patients away from surgical procedures, despite the presence of clear indications for them. A select group of patients can now complete parenteral or oral antimicrobial treatment at home. Additionally, antibiotic prophylaxis is the best option for individuals with prosthetic valves who are going to have invasive dental procedures. These individuals should be given antibiotics beforehand. Full article

Background: Rodents severely damage the ecological environment of grasslands, and rodent mounds of different ages require distinct management strategies. Understanding the age of these mounds aids in formulating targeted restoration measures, which can enhance grassland productivity and biodiversity. Current surveys of rodent mounds rely on ground exposure and mound height to determine their age, which is time-consuming and labor-intensive. Remote sensing methods can quickly and easily identify the distribution of rodent mounds. Existing remote sensing images use ground exposure and mound height for identification but do not distinguish between mounds of different ages, such as one-year-old and two-year-old mounds. According to the existing literature, rodent mounds of different ages exhibit significant differences in vegetation structure, soil background, and plant diversity. Utilizing a combination of vegetation indices and hyperspectral data to determine the age of rodent mounds aims to provide a better method for extracting rodent hazard information. This experiment investigates and analyzes the age, distribution, and vegetation characteristics of rodent mounds, including total coverage, height, biomass, and diversity indices such as Patrick, Shannon–Wiener, and Pielou. Spectral data of rodent mounds of different ages were collected using an Analytical Spectral Devices field spectrometer. Correlation analysis was conducted between vegetation characteristics and spectral vegetation indices to select key indices, including NDVI₆₇₀, NDVI₇₀₅, EVI, TCARI, Ant, and SR. Multiple stepwise regression and Random Forest (RF) inversion models were established using vegetation indices, and the most suitable model was selected through comparison. Random Forest modeling was conducted to classify plateau zokor rat mounds of different ages, using both vegetation characteristic indicators and vegetation indices for comparison. The rodent mound classification models established using vegetation characteristic indicators and vegetation indices through Random Forest could distinguish rodent mounds of different ages, with out-of-bag error rates of 36.96% and 21.74%, respectively. The model using vegetation indices performed better. Conclusions: (1) Rodent mounds play a crucial ecological role in alpine meadow ecosystems by enhancing plant diversity, biomass, and the stability and vitality of the ecosystem. (2) The vegetation indices SR and TCARI are the most influential in classifying rodent mounds. (3) Incorporating vegetation indices into Random Forest modeling facilitates a precise and robust remote sensing interpretation of rodent mound ages, which is instrumental for devising targeted restoration strategies. Full article

An overview of the wetland vegetation of the hinterland of western Sicily, between the hills located south of the Palermo Mts. and the Sicani Mts., is presented herein. This study was conducted according to Braun-Blanquet’s phytosociological method, through a survey carried out mainly within six important biotopes: (1) Gorgo Lungo (“Bosco Ficuzza”; municipality of Godrano); (2) Gorgo Marosa (on the southern side of Rocca Busambra; municipality of Godrano); (3) Gorgo di Piano Scala (on the northern side of Mt. Cardellia; municipality of Corleone); (4) and (5) Gorgo Carcaci and Gorgo Carcaciotto (both on the south-eastern slope of Mt. Carcaci; municipality of Castronovo di Sicilia); and (6) Gorgo S. Andrea (municipality of Castronovo di Sicilia). A vegetation analysis was carried out on the basis of 107 field relevés, together with other data taken from scientific literature. A total of 28 plant communities were identified, between hydrophytics of the classes Lemnetea minoris (3 associations) and Potamogetonetea pectinati (6 associations), helophytics of the Phragmito-Magnocaricetea class (14 associations and 1 community), ephemeral of the Isöeto-Nanojuncetea class (2 communities) and perennial herbaceous vegetation of the Molinio-Arrhenatheretea class (1 association and 1 community). A new syntaxon is also described (Callitricho obtusangulae-Glycerietum notatae ass. nova), as an endemic association of the hinterland of western Sicily, referred to as the Alopecuro-Glycerion spicatae alliance. For all surveyed communities, new insights into syntaxonomy and diagnostic taxa are provided, as well as for the floristic composition, synecology, syndynamism and synchorology of the aquatic vegetation of western Sicily. Full article

The aim of this study is to identify the main factors of anthropogenic impact and indicators of landscape transformation in the Fatala River Basin in the Republic of Guinea. Our fieldwork in the Boke and Kindia regions was the main source of materials and data. The landscape and ecological situation of nine key study plots were characterized. These key plots make up a representative series of transformed and natural landscapes. We complemented our fieldwork with Landsat satellite image analysis. We learned that the main factors of anthropogenic impact in the Fatala River Basin are the systematic burning of vegetation, mechanical disturbances of soil and vegetation cover, the depletion of fertile topsoil, grazing, and the littering of the landscape with household waste. The indicators of landscape transformation are deforestation, changes in the natural vegetation cover, and mechanically disturbed lands. We identified five main stages of agro-landscape development, starting from the clearing of a plot by burning vegetation (stage I) and ending with the completion of the agricultural activity in the plot and its abandonment to restore the topsoil (stage V). The limiting factors of nature management are elevation differences, the rapid restoration of vegetation cover, and rocky/gravelly substrate. It is possible to identify transformed landscapes in large or hard-to-reach regions using satellite images. Thus, natural or quasi-natural landscapes can be identified based on the lower surface temperature relative to the surrounding lands. The normalized difference vegetation index (NDVI) and normalized difference moisture index (NDMI) could be useful for identifying agricultural pasture plots within a tropical forest using long-term satellite data series. We revealed a tendency for landscape deterioration in the middle and upper parts of the Fatala River Basin, while vegetation cover is being restored in the lower part of the basin. Finally, we propose some measures to rehabilitate transformed landscapes and increase the efficiency of agricultural production in the study region. Full article

Bionanocomposites are emerging as a pivotal innovation in sustainable food packaging, leveraging the strengths of biopolymers enhanced with nanoparticles for improved functionality. The increasing demand for sustainable packaging solutions, coupled with advancements in nanotechnology, has driven research in this field over the past decade. This review covers the full spectrum of developments in the field, from the classification and synthesis of bionanocomposites to their applications in food packaging and current research trends. A detailed trend analysis using Web of Science data highlighted the growth in bionanocomposite research, with over 17,000 articles published on this topic. Notably, more than 2000 of these articles focus specifically on packaging applications. This review also investigates the application trends for various food products, including fruits and vegetables, grains, meat, dairy products, bakery items, nuts, and oils. The review identifies a marked increase in publications related to bionanocomposite packaging since 2008. Notably, research on packaging applications has increasingly concentrated on fruits and vegetables, followed by meat, dairy products like cheese, and bakery products such as bread. A comprehensive analysis of research trends before 2010 and in 2024 underscores a shift from fundamental material science towards practical, real-world applications. This review provides valuable insights into the transformative potential of bionanocomposites for food packaging technologies and their role in advancing environmentally sustainable solutions. Full article

For regional desertification control and sustainable development, it is critical to quickly and accurately understand the distribution pattern and spatial and temporal changes of deserts. In this work, five different machine learning algorithms are used to classify different desert types on the Qinghai–Tibetan Plateau (QTP), and their classification performance is evaluated on the basis of their classification results and classification accuracy. Then, on the basis of the best classification model, the Shapely Additive Explanations (SHAP) method is used to clarify the contribution of each classification feature to the identification of desert types during the machine learning classification process, both globally and locally. Finally, the independent and interactive effects of each factor on desert change on the Qinghai‒Tibetan Plateau during the study period are quantitatively analyzed via geodetector. The main results are as follows: (1) Compared with other classification algorithms (GTB, CART, KNN, and SVM), the RF classifier achieves the best performance in classifying QTP desert types, with an overall accuracy (OA) of 87.11% and a kappa coefficient of 0.83. (2) From the perspective of the overall classification of deserts, the five features, namely, elevation, slope, VV, VH, and GLCM, contribute most significantly to the features. In terms of the influence of each classification feature on the extraction of different types of deserts, the radar backscattering coefficient VV serves the most important role in distinguishing sandy deserts; the VH is helpful in distinguishing the four types of deserts: rocky desert, alpine cold desert, sandy deserts, and loamy desert; slope is more effective in distinguishing between the two desert types (rocky desert and alpine cold desert) and other types of deserts; and elevation has a significant role in the identification of alpine cold deserts; and the short-wave infrared band SR_B7 has an important role in the identification of salt crusts and saline deserts. (3) During the study period, the QTP deserts exhibited a reversing trend, and the proportion of desert area decreased from 28.62% to 26.20%. (4) Compared with other factors, slope, precipitation, elevation, vegetation type, and the human footprint have greater effects on changes in the QTP desert area, and the interactions among the factors affecting changes in the desert area all show bidirectional enhancement or nonlinear enhancement effects. Full article

Herbivory by ungulates is a seminal driving force in Mediterranean landscapes, where habitat diversity contributes to supporting high population densities. We investigated the influence of grazing and browsing, primarily by red deer (Cervus elaphus), on herbaceous and woody plant species, using a twin-plot design with herbivory exclusion. The prompt detection of herbivory cessation in vegetation was measured in multiscale plots by calculating Hill’s numbers (0, 1, and 2) as diversity indices over two years. The results revealed an increased diversity gradient by habitats (Pine reforestation→Mediterranean woodland→dehesas of Quercus spp.) with an initial increase in overall species and herbaceous species richness in the fenced plots. Woody vegetation did not change significantly in species richness, or typical or dominant ones. In addition to the early changes detected in the richness of herbaceous species (⁰D_her), medium–long term variations in woody species (presence and abundance) would represent good indicators of herbivory pressure for a diverse array of Mediterranean habitats. Full article

Background and Objectives: Numerous traditional and innovative approaches have been employed to understand and evaluate children’s food preferences and food and nutrition knowledge, recognizing their essential role in shaping good nutrition. Drawing as a projective technique allows children to express their unconscious thoughts and preferences through visual representation, distinguishing it from other methods by providing an insight into their inner feelings and perceptions that may not be easily articulated through verbal techniques. The main goals of the study are to use drawing as a projective technique to gain insights into children’s food preferences, and to examine the children’s current nutrition knowledge and dietary perceptions. Methods: This study involved school-aged children from four public schools in San Jose City, Nueva Ecija, Philippines, who met the inclusion criteria and provided parental consent and the children’s permission. Data collection included (a) questionnaires to measure food group and food frequency knowledge, the children’s opinions on food healthiness and likability, and (b) a drawing activity as a projective technique. The questionnaire scores and the specific foods on the children’s drawings were entered into an electronic worksheet and analyzed quantitatively. Results: The majority of Filipino school-aged children have a low (50%) to average (43%) level of food group knowledge and an average (62%) to low (32%) level of food frequency knowledge. The children can identify the healthiness of the food, but they express a liking for both healthy and unhealthy options. The children’s drawings showed a low preference for Glow food groups, including fruits and vegetables (47%), as compared to Grow foods (94%), Beverages (89%), and Go foods (85%) groups. “Rice and Egg”, the most paired items, indicated a preference among Filipino children. Gender-based analysis showed girls favored “Ice Cream”, “Bread”, “Apple”, and “Oranges” more than boys, but there were no significant gender differences found in Grow food group preferences. Conclusions: Children’s drawings are an effective, valuable complementary tool for understanding children’s food preferences, displaying the value of creative methods in gaining unique insights. The results highlight specific gaps in knowledge, such as the need for a better understanding of food groups and the importance of fruits and vegetables among children. Addressing these gaps in educational programs could enhance children’s food knowledge and encourage healthier dietary choices. Nutrition education programs might use interactive activities focused on food groups and emphasize the benefits of fruits and vegetables to promote better dietary habits for the improvement of children’s long-term health outcomes. Full article

Evapotranspiration is a crucial component of the water cycle and is significantly influenced by climate change and human activities. Agricultural expansion, as a major aspect of human activity, together with climate change, profoundly affects regional ET variations. This study proposes a quantification framework to assess the impacts of climate change (ET_m) and agricultural development (ET_h) on regional ET variations based on the Random Forest algorithm. The framework was applied in a large-scale agricultural expansion area in China, specifically, the Songhua River Basin. Meteorological, topographic, and ET remote sensing data for the years of 1980 and 2015 were selected. The Random Forest model effectively simulates ET in the natural areas (i.e., forest, grassland, marshland, and saline-alkali land) in the Songhua River Basin, with R² values of around 0.99. The quantification results showed that climate change has altered ET by −8.9 to 24.9 mm and −3.4 to 29.7 mm, respectively, in the natural areas converted to irrigated and rainfed agricultural areas. Deducting the impact of climate change on the ET variation, the development of irrigated and rainfed agriculture resulted in increases of 2.9 mm to 55.9 mm and 0.9 mm to 53.4 mm in ET, respectively, compared to natural vegetation types. Finally, the Self-Organizing Map method was employed to explore the spatial heterogeneity of ET_h and ET_m. In the natural–agriculture areas, ET_m is primarily influenced by moisture conditions. When moisture levels are adequate, energy conditions become the predominant factor. ET_h is intricately linked not only to meteorological conditions but also to the types of original vegetation. This study provides theoretical support for quantifying the effects of climate change and farmland development on ET, and the findings have important implications for water resource management, productivity enhancement, and environmental protection as climate change and agricultural expansion persist. Full article