Search Results (9,714)

To examine the bio-optical response to coastal upwelling, we measured inherent optical properties (IOPs) and biogeochemical parameters simultaneously off Hainan Island in the northwest part of the South China Sea (SCS) during late summer 2013. Bio-optical relationships between IOPs and phytoplankton were used for calculating vertical profiles of the total chlorophyll a concentration (Chl-a) and the absorption by coloured detrital matter (CDM). These bio-optical properties, which showed distinct horizontal and vertical distributions across the continental shelf, were strongly influenced by upwelling processes, as well as the shelf topography. Phytoplankton biomass and CDM absorption in surface waters showed much higher values along the coast, with their spatial distributions related to topographic variability. Vertical distributions of phytoplankton were characterised by a subsurface chlorophyll maximum (SCM) layer. The strongest SCM (Chl-a = 4.22 mg m⁻³) was observed at 24 m depth in coastal waters near the northeast cape of Hainan Island. The depth of the SCM varied between 16 and 60 m at different stations, appearing to coincide with the isotherm of 22 °C. The SCM depth was inversely correlated with the magnitude of the SCM. Different shapes of Chl-a profiles were observed, which suggested that the vertical distributions of phytoplankton biomass were driven by different environmental factors. Elevated concentrations of CDM were mainly observed near the bottom, which suggest that the benthic nepheloid layer may be an important source of detrital material. The relationship between the absorption coefficient of CDM at 443 nm, a_CDM(443), and Chl-a exhibited distinct differences between waters in upper ocean and in bottom layers, with the threshold depth being modulated by shelf topography. Our results highlight the utility of bio-optical observations with high resolution for better understanding the coupling between physical forcing and biogeochemical variability. Full article

In this work, combined efforts by Greek and Turkish scientists produced an updated validated NIS inventory of the Aegean ecoregion, covering 120 years of records up to August 2024. Of the 342 NIS currently present in the Aegean Sea, the majority (281 species) have invaded the South Aegean, followed by the North Aegean (128 species out of 206 NIS). A total of 73 species were added to the list, while 56 were removed. Overall, unaided spread of Lessepsian immigrants from the Levantine Sea and shipping are equally responsible for NIS reported at the regional level. An increase in publications addressing NIS matches the upward trend of NIS since the mid-1990s, which continues to the present day. While unaided introductions of Lessepsian species and/or direct introductions via the Suez Canal peaked in the South Aegean during 2000–2005, they peaked in 2012–2017 in the North Aegean—a decade later. The opposite pattern was observed in ship-transferred NIS. The spatial distribution of introduction hotspots largely reflects the following phenomena/processes: unaided introduction is witnessed initially in the southeastern Aegean Sea; monitoring efforts are concentrated in vulnerable and at-risk areas; and research efforts relate to the spatial allocation of institutions and marine experts working on marine NIS along the Aegean coasts. Full article

West Lake holds a significant position internationally. This article studies the spatial distribution, historical development, functions, and the lake–city spatial relationship of 81 West Lakes (WLs), as well as their landscape characteristics. The results indicate the following: (1) The overall spatial distribution of WLs is related to China’s history of water conservancy development. (2) The evolution of and functional changes in WLs are influenced by multiple factors such as politics, economy, and culture during different historical periods and are directly related to the will of local administrators. (3) The initial functions of WLs can be categorized into three types, primarily related to urban infrastructure. (4) In terms of spatial relationships, there are four types of spatial relationships between WLs and their water sources and three types of spatial relationships between WLs and cities, forming a common pattern of “Mountains/Hills(–Water)–WL(–Water)–Cities(–Water, River, Sea)” or “WL(–Water)–Cities(–Water, River, Sea)”. (5) The scenery of WLs comprises six elements, including natural basements, water conservancy facilities, human settlements, secularization, landscape architecture, and animal and human activities, all imbued with poetic cultural connotations. Furthermore, this study summarizes three causes of WLs’ scenery; excavates the historical wisdom of WLs in terms of a holistic approach, ecological techniques, dynamic management, and landscape esthetics; and subsequently proposes recommendations for lake ecological governance and landscape construction. Full article

The impacts of climate change and human activities on water resources are a complex and integrated process and a key factor for effective water resource management in semi-arid regions, especially in relation to the Jinghe River basin (JRB), a major tributary of the Yellow River basin. The Sen’s slope estimator and the Mann–Kendall test (M–K test) are implemented to examine the spatial and temporal trends of the hydrological factors, while the elasticity coefficient method based on Budyko’s theory of hydrothermal coupling is employed to quantify the degree of runoff response to the various influencing factors, from 1971 to 2020. The results reveal that the runoff at Pingliang (PL), Jingchuan (JC), and Yangjiaping (YJP) hydrological stations shows an obvious and gradual decreasing trend during the study period, with a sudden change in about 1986, while precipitation shows a fluctuating and increasing trend alongside a potential evapotranspiration-induced fluctuating and decreasing trend. Compared to the previous period, a change of −29%, in relative terms, in the runoff at the YJP hydrological station is observed. The interaction of human activities and climate change in the watershed contributes to the sharp decrease in runoff, with precipitation, potential evapotranspiration, and human activities accounting for −14.3%, −15.1%, and 70.6% of the causes of the change in runoff, respectively. Human activities (e.g., construction of water conservancy projects), precipitation, and potential evapotranspiration are the main factors contributing to the change in runoff. Full article

Exploring and predicting the spatiotemporal evolution characteristics and driving forces of carbon storage in typical mountain forest ecosystems under land-use changes is crucial for curbing the effects of climate change and fostering sustainable, eco-friendly growth. The existing literature provides important references for our related studies but further expansion and improvements are needed in some aspects. This study first proposed an integrated framework comprising gray multi-objective optimization (GMOP), Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST), the Patch-level Land Use Simulation Model (PLUS), and optimal parameter-based geographical detector (OPGD) models to further expand and improve on existing research. Then, the integrated model was used to analyze the spatial–temporal variation in land-use pattern and carbon storage at the county scale in China’s Daiyun Mountain’s Rim under four scenarios in 2032, and analyze the driving force of spatial differentiation of carbon storage. The results indicated that (1) land-use change primarily involves the mutual transfer among forest, cultivated, and construction land, with approximately 7.2% of the land-use type area undergoing a transition; (2) in 2032, the natural development scenario projects a significant reduction in forest land and an expansion of cultivated, shrub, and construction lands. Conversely, the economic priority, ecological priority, and economic–ecological coordinated scenarios all anticipate a decline in cultivated land area; (3) in 2032, the natural development scenario will see a 2.8 Tg drop in carbon stock compared to 2022. In contrast, the economic priority, ecological priority, and economic–ecological coordinated scenarios are expected to increase carbon storage by 0.29 Tg, 2.62 Tg, and 1.65 Tg, respectively; (4) the spatial differentiation of carbon storage is jointly influenced by various factors, with the annual mean temperature, night light index, elevation, slope, and population density being the key influencing factors. In addition, the influence of natural factors on carbon storage is diminishing, whereas the impact of socioeconomic factors is on the rise. This study deepened, to a certain extent, the research on spatiotemporal dynamics simulation of carbon storage and its driving mechanisms under land-use changes in mountainous forest ecosystems. The results can serve to provide scientific support for carbon balance management and climate adaptation strategies at the county scale while also offering case studies that can inform similar regions around the world. However, several limitations remain, as follows: the singularity of carbon density data, and the research scope being confined to small-scale mountainous forest ecosystems. Future studies could consider collecting continuous annual soil carbon density data and employing land-use simulation models (such as PLUS or CLUMondo) appropriate to the study area’s dimensions. Full article

Sustainable urban development requires good interaction between water, energy, infrastructure and socio-economic areas. In the context of more frequent heavy rainfall and flooding events, managing the subsystems within the city in an integrated manner and realizing sustainable development have become popular research topics. Based on the above analysis, this paper constructs a water, energy, industry and economic growth system. It also introduces rainfall as an exogenous variable into the model in order to simulate the process of interactions between subsystems within a city and achieve sustainable development. By measuring the dynamic changes and spatial distribution characteristics of the efficiency values of the total water–energy–industry and economic growth system and each subsystem in 29 provinces in China, the following conclusions are drawn: (1) Most of the provinces are in the situation of “high-efficiency–negative growth” or “low-efficiency–positive growth”, and the constraints for them to reach the state of “high efficiency–positive growth” are due to the water subsystem. (2) The low-efficiency provinces are mainly concentrated in the central region, and the spillover effect of the low-efficiency provinces on the neighboring regions is more notable than that of the high-efficiency provinces. (3) The addition of rainfall improves the total efficiency in most provinces, with the most obvious improvement in the efficiency of the water subsystem. (4) The efficiency value of the industry and economic growth subsystem is relatively less affected by the amount of rainfall, but excessive rainfall will also have a negative impact. Finally, relevant policy recommendations are made to inform the relevant government departments in formulating policies related to addressing climate change and achieving sustainable urban development. Full article

The problem of waste in the European Union is still present—from 2010 to 2022, the amount of hazardous waste generated increased by an average of 2.25% per year, while non-hazardous waste decreased by an average of 0.06% per year. The increase in the amount of hazardous waste and the very slight decrease in non-hazardous waste over the 13-year period testify to the ever-present problem of waste generation. To effectively address this issue, it is necessary to understand the trends that characterize the amount of waste generated. This study focuses on the amount of waste generated in manufacturing companies. Panel data from 27 European Union countries from 2010–2022 were analyzed to examine what factors contribute to the generation of hazardous and non-hazardous waste. For this purpose, a shift-share analysis was used. The research showed that, in comparison to 2010, the total amount of EU waste generated by manufacturing companies in 2022 was 3,632,096 tons lower for hazardous waste and 15,149,754 tons lower for non-hazardous waste. A shift-share analysis of hazardous waste suggests that companies in the manufacturing sectors should show an upward trend in the amount of waste generated in all the European Union countries. In fact, however, there has been a decline in the amount of this waste overall across the EU (though only in 15 countries), driven by both structural (industrial mix) and geographic (regional shift) factors. The dominance of the geographic component was particularly pronounced in countries with a decrease in hazardous waste (negative total effect). The situation was different for non-hazardous waste. Negative values of the national shift component for all the countries suggest a decline in non-hazardous waste at companies in the manufacturing sector. In reality, the decline occurred in only 16 countries, and in most, due to the regional shift component. The analysis shows that policies on hazardous and non-hazardous waste management in European Union countries vary. Positive changes in hazardous waste have taken place in 12 EU countries that differ in terms of levels of economic and social development, suggesting the need for further analysis of the reasons for these trends. In the case of non-hazardous waste, the largest number of countries have made positive changes related to their competitive potential, indicating that the decline in non-hazardous waste is mainly due to their macroeconomic situation. Thus, there is considerable regional heterogeneity in the spatial distribution of the waste change component. The research provides valuable insights for companies and institutions responsible for shaping waste management policies, helping them to recognize the regional advantages and disadvantages of waste reduction and strengthen regional cooperation in this regard. Full article

Terraces are an important form of surface modification, and their spatial distribution data are of utmost importance for ensuring food and water security. However, the extraction of terrace patches faces challenges due to the complexity of the terrain and limitations in remote sensing (RS) data. Therefore, there is an urgent need for advanced technology models that can accurately extract terraces. High-resolution RS data allows for detailed characterization of terraces by capturing more precise surface features. Moreover, leveraging deep learning (DL) models with local adaptive improvements can further enhance the accuracy of interpretation by exploring latent information. In this study, we employed five models: ResU-Net, U-Net++, RVTransUNet, XDeepLabV3+, and ResPSPNet as DL models to extract fine patch terraces from GF-2 images. We then integrated morphological, textural, and spectral features to optimize the extraction process by addressing issues related to low adhesion and edge segmentation performance. The model structure and loss function were adjusted accordingly to achieve high-quality terrace mapping results. Finally, we utilized multi-source RS data along with terrain elements for correction and optimization to generate a 1 m resolution terrace distribution map in the Zuli River Basin (TDZRB). Evaluation results after correction demonstrate that our approach achieved an OA, F1-Score, and MIoU of 96.67%, 93.94%, and 89.37%, respectively. The total area of terraces in the Zuli River Basin was calculated at 2557 ± 117.96 km² using EM with our model methodology; this accounts for approximately 41.74% ± 1.93% of the cultivated land area within the Zuli River Basin. Therefore, obtaining accurate information on patch terrace distribution serves as essential foundational data for terrace ecosystem research and government decision-making. Full article

Background/Objectives: Attention is a complex process involving various components such as alerting, orienting, and resolving conflicts. These components have been widely examined using the Attention Network Test (ANT), which has also been used to explore attentional decline associated with aging. However, discrepancies exist in the literature regarding which specific aspects of attention are most impacted by aging. These inconsistencies could be due to methodological issues such as group comparisons that may exaggerate differences between groups while flattening subtle variations within groups. Methods: To address this issue, we administered the ANT to 60 healthy participants aged between 62 and 90 years. Using a multivariate regression analysis, we examined whether increasing age was associated with changes in alerting, orienting, and conflict resolution, while controlling for overall performance in terms of both reaction times and accuracy. Results: The results showed a general and age-insensitive decline in two of the three attentional components: the alerting effect, which was abolished, and a large conflict effect, which was present regardless of age. In contrast, the orienting of spatial attention was found to linearly increase with increasing age. More focused analyses revealed that the ability to shift attention from the central (initial) to the peripheral (target) location slowed down as a function of age. Conclusions: These results suggest that aging is associated with a greater difficulty in disengaging endogenous attention from the central, uninformative cue to direct attention on task-relevant peripheral targets. Full article

The efficient management of water resources is crucial due to increasing environmental and societal pressures, requiring advanced data handling capabilities. Traditional relational data models, while foundational, struggle to capture the complex relationships inherent in water systems, limiting analytical and decision-making effectiveness. To address these challenges, this paper proposes a comprehensive graph data model for water resource management. Our model includes conceptual, logical, and physical frameworks that enable the structured representation of hydraulic objects and their relationships. We categorize hydraulic objects, examine their spatial, structural, and operational interconnections, and construct an adaptable graph data model. This model provides the enhanced integration, mining, and analysis of hydraulic data, supporting intelligent, data-driven water management applications. Example applications demonstrate the model’s utility in improving watershed management, hydropower scheduling, and uncovering latent relationships among hydraulic components through graph neural networks. This work establishes a robust data foundation for the sustainable and scientific management of water resources. Full article

During urban development, significant contrasts between urban villages and their surrounding areas lead to the emergence of fragmented urban spaces, dysfunctionalities, cultural barriers, and, ultimately, to the formation of fractured urban textures centered on urban villages (FUT-UVs). The fractured urban textures of an FUT-UV create a disconnect from the surrounding urban area, isolating it from the city. This separation significantly impacts the daily lives and interactions of its residents. To address this and support more sustainable urban development, a thorough and multi-dimensional understanding of FUT-UVs is of crucial importance. This study examines Nanhao Village in Baotou City, conducting a quantitative analysis of key indicators related to buildings, roads, and functional facilities. Using overlay analysis, it explores the characteristics of the FUT-UV, the interactions between these indicators, and opportunities for improvement. From these findings, strategies for reconnecting an FUT-UV with its surroundings are proposed. The results indicate that: (1) FUT-UVs are mainly characterized by low-rise, high-density developments with limited open space. Their road networks are narrow and congested, while accessibility remains low. Low-end businesses are concentrated in a single area within the village, showing minimal functional diversity; (2) FUT-UVs can increase construction intensity by raising the number of floors in buildings, and have higher building densities in the most accessible areas. This increase in density can effectively enhance functional diversity; and (3) improving road accessibility in FUT-UVs will allow for a smoother influx of external activity, enhancing functional diversity. Additionally, increasing the number of building floors intensifies construction, raises the density of functional facilities, and boosts urban vitality. Based on these characteristics of fragmentation and interactive mechanisms, this study suggests stitching strategies related to transportation, architecture, and functionality. This study introduces a new framework for analyzing urban texture, offering a detailed multi-faceted analysis of FUT-UV fragmentation and clarifying the interaction between FUT-UVs and surrounding urban forms. This study reinforces the coherence of the spatial form and the development of the functional economy of urban villages within the modern urban environment. It supports the sustainable development of urban areas and promotes balanced growth between urban villages and their surrounding regions. Full article

Active biomonitoring of mercury (Hg) using non-indigenous moss bags was performed for the first time within and around the former Hg mining area of Abbadia San Salvatore (Mt. Amiata, central Italy). The purpose was to discern the Hg spatial distribution, identify the most polluted areas, and evaluate the impacts of dry and wet deposition on mosses. The exposed moss bags consisted of a mixture of Sphagnum fuscum and Sphagnum tenellum from an external uncontaminated area. In each site, two different types of moss bags, one uncovered (to account for the wet + dry deposition) and one covered (to evaluate the dry deposition), were exposed. The behavior of arsenic (As) and antimony (Sb) in the mosses was investigated to assess the potential relationship with Hg. GEM (Gaseous Elemental Mercury) concentrations were also measured at the same sites where the mosses were exposed, although only as a reference in the initial stages of biomonitoring. The results revealed that the main Hg emissions sources were associated with the former mining area of Abbadia San Salvatore, in agreement with the measured GEM concentrations, while arsenic and antimony were related to soil enriched in As-Sb waste material. The three elements registered higher concentrations in uncovered mosses with respect to the covered ones, i.e., wet deposition was the key factor for their accumulation on the uncovered mosses, while dry deposition was especially important for the covered samples in the mining area. Hg was accumulated in the mosses via GEM adsorption, uptake of particulate Hg, and precipitation via raindrops/snowfall, with almost no loss and without post-deposition volatilization. The results testified that the chosen biomonitoring technique was an extremely useful tool for understanding Hg transport and fate in a contaminated area. Full article

Bumblebee species are vital wild pollinators, providing essential pollination services for various crops, fruits, and vegetables. However, their biodiversity is vulnerable to decline due to climate change, particularly in regions like northern Pakistan. Despite this, no research has yet been conducted on the distribution patterns of bumblebee species in this region. The current study aimed to model the spatial distribution of three important bumblebee species: Bombus haemorrhoidalis, B. rufofasciatus, and B. subtypicus in northern Pakistan. Habitat suitability and the contribution of bioclimatic variables to the spatial distribution of species were assessed using the MaxEnt approach. Current and future bioclimatic variables, along with presence-only records of three bumblebee species, were incorporated into the species distribution model. The results indicated that nearly 96% of the area (43 out of 45 cities in northern Pakistan) showed habitat suitability for all three species in the current scenario. Among these 43 cities, five exhibited a 100% overlap in suitable areas for the three species. However, this overlap area is expected to decrease in the future, particularly by the middle of the 21st century, highlighting these regions as prime candidates for conservation. In terms of bioclimatic factors influencing spatial distribution, the study found that temperature-related variables played a more significant role than precipitation-related ones in current and future scenarios. Specifically, bio3 (isothermality) contributed 48% to B. haemorrhoidalis and 43% to B. rufofasciatus, while bio2 (mean diurnal range) was the most influential factor for B. subtypicus. Temperature-related variables accounted for more than 80%, 69.4%, and 78.3% of the spatial variation in B. haemorrhoidalis, B. rufofasciatus, and B. subtypicus, respectively. This study demonstrates the critical influence of temperature on the spatial distribution of bumblebee species in northern Pakistan, underscoring the need for climate-focused conservation strategies to protect these important wild pollinators. Full article

Purpose: To identify molecular changes during PCa invasion of adipose space using Spatial Transcriptomic Profiling of PCa cells. Methods: This study was performed on paired intraprostatic and extraprostatic samples obtained from radical prostatectomy with pT3a pathological stages. Results: Differential gene expression revealed upregulation of heat shock protein genes: DNAJB1, HSPA8, HSP90AA1, HSPA1B, HSPA1A in PCa PanCK+ cells from the adipose periprostatic space. Extraprostatic extension was significantly associated with overexpression of genes involved in metastatic spread (EGR1, OR51E2, SPON2), of aggressiveness ERG negative signature of enhancers of androgen receptor (HOXB13, FOXA1), and of PSMA (FOLH1). They were associated with loss at 6q, 10q, 16q, and gain at 8q24 locus. Conclusions: PCa invasion of adipose EPE induces adaptative process related to heat shock proteins; PCa cells in EPE also present transcriptomics signatures for ERG independent aggressiveness, androgen receptor co-activation, and specific CNV changes. Full article

City services and infrastructures are focused on consumers and are able to effectively and qualitatively implement their functions only under conditions of normal workload. In this regard, the correct organization of a public service system is directly related to the knowledge of the quantitative and qualitative composition of people in the city during the day. The article discusses existing solutions for analyzing the distribution of people in a territory based on data collected by mobile operators, payment terminals, navigation systems and other network solutions, as well as the modeling methods derived from them. The scientific aim of the study is to propose a solution for modeling the daily distribution of people based on open statistics collected from the Internet and open-web mapping data. The stages of development of the modeling software environment and the methods for spatial analysis of available data on a digital cartographic basis are described. The proposed approach includes the use of archetypes of social groups, occupational statistics, gender and age composition of a certain territory, as well as the characteristics of urban infrastructure objects in terms of composition and purpose. Solutions for modeling the 48 h distribution of city residents with reference to certain infrastructure facilities (residential, public and working) during working and weekend days with an hourly breakdown of the simulated values were created as a result of the study. A simulation of the daily distribution of people in the city was carried out using the example of the city of Volgograd, Russian Federation. A picture of the daily distribution of city residents by district and specific buildings of the city was obtained as a result of the modeling. The proposed approach and the created algorithm can be applied to any city. Full article