Search Results (692)

Aim: This article aims to explore the role of the human gut microbiota (GM) in the pathogenesis of neurological, psychiatric, and neurodevelopmental disorders, highlighting its influence on health and disease, and investigating potential therapeutic strategies targeting GM modulation. Materials and Methods: A comprehensive analysis of the gut microbiota’s composition and its interaction with the human body, particularly, its role in neurological and psychiatric conditions, is provided. The review discusses factors influencing GM composition, including birth mode, breastfeeding, diet, medications, and geography. Additionally, it examines the GM’s functions, such as nutrient absorption, immune regulation, and pathogen defense, alongside its interactions with the nervous system through the gut–brain axis, neurotransmitters, and short-chain fatty acids (SCFAs). Results: Alterations in the GM are linked to various disorders, including Parkinson’s disease, multiple sclerosis, depression, schizophrenia, ADHD, and autism. The GM influences cognitive functions, stress responses, and mood regulation. Antibiotic use disrupts GM diversity, increasing the risk of metabolic disorders, obesity, and allergic diseases. Emerging therapies such as probiotics, prebiotics, and microbiota transplantation show promise in modulating the GM and alleviating symptoms of neurological and psychiatric conditions. Conclusions. The modulation of the GM represents a promising approach for personalized treatment strategies. Further research is needed to better understand the underlying mechanisms and to develop targeted therapies aimed at restoring GM balance for improved clinical outcomes. Full article

Historical maps are valuable sources of geospatial data for various geography-related applications, providing insightful information about historical land use, transportation infrastructure, and settlements. While transformer-based segmentation methods have been widely applied to image segmentation tasks, they have mostly focused on satellite images. There is a growing need to explore transformer-based approaches for geospatial object extraction from historical maps, given their superior performance over traditional convolutional neural network (CNN)-based architectures. In this research, we aim to automatically extract five different road types from historical maps, using a road dataset digitized from the scanned Deutsche Heereskarte 1:200,000 Türkei (DHK 200 Turkey) maps. We applied the variants of the transformer-based SegFormer model and evaluated the effects of different encoders, batch sizes, loss functions, optimizers, and augmentation techniques on road extraction performance. Our best results, with an intersection over union (IoU) of 0.5411 and an F1 score of 0.7017, were achieved using the SegFormer-B2 model, the Adam optimizer, and the focal loss function. All SegFormer-based experiments outperformed previously reported CNN-based segmentation models on the same dataset. In general, increasing the batch size and using larger SegFormer variants (from B0 to B2) resulted in improved accuracy metrics. Additionally, the choice of augmentation techniques significantly influenced the outcomes. Our results demonstrate that SegFormer models substantially enhance true positive predictions and resulted in higher precision metric values. These findings suggest that the output weights could be directly applied to transfer learning for similar historical maps and the inference of additional DHK maps, while offering a promising architecture for future road extraction studies. Full article

This study investigates land-cover changes along riparian zones in South Carolina, focusing on intermittent and perennial streams to assess the impact of urbanization, forest loss, and impervious surface expansion on sensitive ecosystems. South Carolina’s diverse geography, ranging from coastal marshes to the Blue Ridge Mountains, and subtropical humid climate, offers a rich context for understanding environmental changes. The research utilizes various geospatial datasets, including the National Land Cover Database (NLCD), National Hydrography Dataset (NHD), and National Agricultural Imagery Program (NAIP) imagery, to evaluate changes in forest cover, urbanization, and impervious surfaces from 2011 to 2021 as a decade of transition. The study areas were divided into buffer zones around intermittent and perennial streams, following South Carolina’s riparian management guidelines. The results indicate significant land-cover transitions, including a total of 3184.56 hectares of non-urban areas converting to forest within the 100 m buffer around intermittent streams. In contrast, 137.43 hectares of forest transitioned to urban land in the same buffer zones, with Spartanburg and Greenville leading the change. Intermittent stream buffers exhibited higher imperviousness (4.6–5.5%) compared to perennial stream buffers (3.3–4.5%), highlighting the increased urban pressure on these sensitive areas. Furthermore, tree canopy loss was significant, with counties such as Greenwood and Chesterfield experiencing substantial reductions in canopy cover. The use of high-resolution NAIP imagery validated the land-cover classifications, ensuring accuracy in the results. The findings emphasize the need for effective land-use management, particularly in the riparian zones, to mitigate the adverse impacts of urban expansion and to safeguard water quality and biodiversity in South Carolina’s streams. Full article

In landscape planning and design, geospatial technologies (GSTs) are used to aid in visualizing and interpreting geographic environments, identifying geospatial patterns, and making decisions around information based on maps and geospatial information. GSTs are related to the different tools and technologies used to represent the earth’s surface and have transformed the practice of landscape design and geospatial education. These technologies play an important role in promoting the development and application of STEM-relevant geospatial thinking. Curricula that incorporate GSTs have been used across educational levels, from elementary school through college, and have been shown to support the development of geospatial learning and understanding. The present work discusses the use of one type of GST, virtual globes, as a tool for developing geospatial thinking, with a specific focus on Google Earth. This review highlights outcomes of several studies using Google Earth in the context of disciplines related to landscape design, such as geography and earth science. Furthermore, the potential mechanisms underlying the effectiveness of this technology for supporting the development of geospatial knowledge, such as its role in facilitating data visualization and supporting student’s ability to think flexibly about spatial patterns and relations, are discussed. Finally, the limitations of the current research on Google Earth as a tool for supporting geospatial learning are discussed, and suggestions for future research are provided. Full article

As the integration of the digital economy into the real economy accelerates and the goals of green and low-carbon development become increasingly clear, promoting green innovation (GI) through digital–real economy integration (DRI) is of great practical significance for achieving green, high-quality urban development. This study, based on a sample of 284 prefecture-level cities and above in China, used the entropy method to measure the development levels of the digital economy and real economy in each city and employed a coupling coordination model to calculate the degree of DRI. By constructing a bidirectional fixed effects model, a mediation effect model, a threshold regression model, and a spatial Durbin model, this study explored the impact of DRI on GI in cities. The research found that DRI has a non-linear promoting effect on GI. When a city’s DRI level surpasses the second threshold, each 1% increase in DRI leads to a 1.439% rise in GI. This effect also shows heterogeneity based on city location and resource endowment. In this process, transaction costs and the upgrading of the industry structure serve as mediating factors, with each 1% increase in DRI reducing transaction costs by 0.163% and enhancing industrial upgrading with a coefficient of 0.176. Additionally, DRI in one city can significantly enhance the level of GI in neighboring cities through spatial spillover effects. For instance, under the geographic distance weighting matrix, the indirect effect of DRI reaches 4.693, and similar significant spillover effects are observed under the economic distance and economic geography weighting matrices. Full article

Religious settlements can reflect regional culture and social development, preserve the continuity of spatial structures over time, sustain social networks, and perpetuate traditions. Buddhist settlements, as a particular type of religious settlement, reflect the social development and daily lives of monks and common people. This study used literature research, field investigations, and GISs to construct a framework of the landscape of religious settlements based on the theory of the historic landscape approach. Buddhist grottoes from the Sixteen Kingdoms Period to the Qing Dynasty (304–1912) in the Hexi Corridor of Gansu Province were selected as a case study, and the patterns of religious settlements were identified. According to the analysis, it was found that religious settlements tended to have large religious buildings at their centre, with small buildings and attachments scattered around. They were close to central cities, with a complete transportation network, and they had relatively stable belief spaces. There were clear boundaries between believers and non-believers in the settlements. Four patterns of religious settlements were also identified according to the relationships between geography, social properties, and cultural connotations. These findings diachronically offer a new perspective on the understanding of religious settlements and steps for improving the inheritance of religious culture. Full article

Humans and more-than-humans experience injustices related to the triple planetary crisis of climate change, pollution, and biodiversity loss. Nurses hold the power and shared Responsibility (Note on Capitalization: Indigenous Scholars resist colonial grammatical structures and recognize ancestral knowledge by capitalizing references to Indigenous Ways of Knowing (Respect, Relations, and Responsibilities are capitalized to acknowledge Indigenous Mi’kmaw Teachings of our collective Responsibilities to m’sit no’ko’maq (All our Relations). Respect for Land, Nature, Knowledge Keepers, Elders, and the names of Tribes, including the Salmon People and sacred spaces, such as the Longhouse, are also denoted with capitals)) to support the health and well-being of each other and Mother Earth. The heart of the Planetary Health movement to address these impacts centers on an understanding of humanity’s interconnection within Nature. As nurses, we seek partnerships with more-than-human communities to promote personal and collective wellness, Planetary Health, and multispecies justice. This article introduces a longitudinal, collaborative autoethnography of our initial engagement with more-than-human communities. In this research, we utilize reflexive photovoice and shared journals to describe our early conversation about this interconnection with three waterways across diverse geographies. This work acknowledges the importance of relational and embodied Ways of Knowing and Being. We invite nurses to embrace the heart of the Planetary Health movement and share these stories with their more-than-human community partners. Full article

This manuscript explores the role of green hydrogen produced through ethanol reforming in accelerating Brazil’s transition to a low-carbon economic framework. Despite ongoing efforts to lessen carbon dependence, Brazil’s reliance on biofuels and other renewable energy sources remains inadequate for fully achieving its decarbonization objectives. Green hydrogen presents a vital opportunity to boost energy sustainability, especially in sectors that are challenging to decarbonize, such as industry and transportation. By analyzing Brazil’s input–output (I-O) table, using data from the Brazilian Institute of Geography and Statistics (IBGE), this study evaluates the macroeconomic potential of green hydrogen, focusing on GDP growth and employment generation. Furthermore, the research explores green hydrogen systems’ economic feasibility and potential impact on future energy policies, offering valuable insights for stakeholders and decision-makers. In addition, this investigation highlights Brazil’s abundant renewable resources and identifies the infrastructural investments necessary to support a green hydrogen economy. The findings aim to strengthen Brazil’s national decarbonization strategy and serve as a model for other developing nations transitioning to clean energy. Full article

Water access and use impact land management decisions and livelihoods. Despite the integral role water plays in land systems, land system science (LSS) research often fails to explicitly incorporate water into analyses of socioecological systems (SES) resilience related to land. Nonetheless, water scarcity, especially in the face of climate change and resource degradation, is a pressing issue. Water availability is crucial to many ecosystem functions, from supporting biodiversity to mitigating extreme weather events such as flooding or drought. In this introduction to the “Water in Land System Science” Special Issue, we argue for deeper integration of land and water dynamics in LSS to increase SES resilience. First, we present an overview of the need for this integration, followed by a synopsis of the authored contributions in this Special Issue towards this goal. We then provide potential entry points researchers can use to foster this integration, exploring the following topics: water governance and hydrosocial territories, the cultural geographies of water, hydrophilia, water in agricultural transitions, remote sensing innovations, and participatory approaches to the study of the water component of land systems. We conclude that interactions between land, water, and people remain understudied, despite being more important than ever for ensuring future sustainability. Full article

Tourist activity has a powerful capacity to transform landscapes, often modifying natural or semi-natural spaces in favour of increasingly dense urban structures. This change is particularly evident in Mediterranean coastal areas, and specifically in Spain’s La Manga del Mar Menor in the Region of Murcia, whose environment and landscape have been altered from the 1960s onwards. During this time, intense urbanisation based on the sun and beach tourism model has been developed, which represents a bad example of urban land-use planning. Speculation and the lack of a sustainable tourist model in those years have created a 22-km linear city along a coastal strip, currently characterised by a densified tourist area. This situation is due to the lack of urban planning and a series of other problems, such as the lack of basic services and facilities, saturation in access to them and environmental pollution. In this spatial context, the geography of perception’s methodology will serve as an analytical tool in aspects related to the lived space and the interaction of residents and tourists. This is combined with a DAFO/SWOT-CAME analysis and the use of photographs and cartographies as key research instruments. The aim of this work is to analyse the intense urbanisation that has taken place in this coastal area and to show the need to carry out urban development actions within the framework of a possible new plan aimed at halting environmental deterioration, organising land use, creating more spaces for public services and protecting, to a greater extent, beaches and other natural and cultural resources. A commitment to sustainable tourism should ensure better urban conditions to meet both visitor and local demands. Full article

In the early stages of the COVID-19 pandemic and the resultant stay-at-home mandates, local governments in some cities in the United States implemented programs in response to the pandemic. This article focuses on Slow Streets, which were several programs implemented in eleven cities (Los Angeles, Oakland, San Francisco, Seattle, Portland, Denver, Chicago, Minneapolis, Detroit, Boston, and New York) in the United States. The programs were intended to keep people healthy by providing temporary public spaces on residential roads where residents were allowed to exercise and socialize. Some practitioners characterized the programs as tactical urbanism or tactical placemaking and as agile responses to the public health crisis. The programs deserve a critical reflection, considering their potential impact on community health and the limited amount of the literature on the program in terms of design justice, which is an approach to design that prioritizes marginalized communities and challenges their structural inequality. This reflective study attempts to fill that gap in the literature of architecture and urban design. This article aims to examine whether the Slow Streets programs promoted design justice. To address that aim, we propose a social justice framework to evaluate the program, because social justice is essential to design justice. Data from publicly available information online about the eleven cities’ Slow Streets programs, interviews, surveys, focus groups, and the interdisciplinary literature support the qualitative research. The study outcomes suggest that the Slow Streets program had limited success because their attention to the priorities of underserved populations was ineffective. We argue that while the programs provided a timely response to the pandemic, the programs did not adequately address the vulnerability of low-income communities of color due to the limited consideration of design justice. Building on the lessons from social justice and human geography, the article concludes with recommendations for future practices including place-cultivating and human geography-informed design to better serve vulnerable communities of color. Full article

By the end of the decade, the world population is expected to increase by nearly one billion people, posing challenges to meeting global food demand. In this scenario, soybean production is projected to increase by 18% within this decade. Despite being the largest soybean producer, responsible for over 40% of soybeans produced worldwide, drought events often impair Brazilian production. The goals of the present research were to quantify soybean yield losses related to drought in Brazil from 1973 to 2023 at national, state, and municipal levels and to assess the spatial distribution of losses across the production areas. The hypothesis investigated is that year-to-year variations in soybean yield are closely related to water availability, considering that crop management practices are constant from year to year, while increments in soybean yield across time (more than five years) relate tightly to better crop management practices and breeding improvements. Thus, quantifying year-to-year yield losses might demonstrate the effects of water availability on soybean yield. Yield data from the 1976/1977 to 2022/2023 crop seasons from the 26 states and the Federal District came from the National Supply Company, while the Brazilian Institute of Geography and Statistics supplied yield data for the 1973/1974 to 2020/2021 crop seasons from 1998 municipalities with more than 14 crop seasons. Soybean drought yield losses were calculated for each cropping season individually at the municipal, state, and national levels, based on the deviation in the observed yield to the corresponding maximum yield in the five-year window, considering that crop management practices and genetics represent a regular increment in soybean yield, which means that production practices improved over time and deviations from year to year are mainly related to drought occurrence. Annual soybean yield loss (expressed in tons, USD, and percentage), frequency of yield loss, and severity of yield loss were calculated at national, state, and municipal levels for each cropping season. The Standardized Precipitation Index (SPI), acquired from the Brazilian Weather Forecast and Climate Studies Center at the National Space Research Institute, was used as a qualitative indicator to corroborate the assessed soybean yield losses related to drought. The results demonstrate yield losses in more than 50% of crop seasons at the national level, with a similar frequency across the five decades, albeit with lower severities in the last 30 years. The Central–West region was more stable than the South region, with yield losses of up to 74%. In five decades, yield losses related to drought events stand at 11.65%, corresponding to 280 million tons or USD 152 billion (considering the average soybean price in 2022 at the Chicago Board of Trade). At the municipal level, analogous behavior was observed across time and space. The outcomes from the present research might subsidize public and corporative policies related to agricultural zoning, farm loan programs, crop insurance contracts, and food security, contributing to higher agricultural, environmental, economic, and social sustainability. Full article

Urban Green Spaces (UGS) are integral to advancing urban sustainability and improving the quality of life in cities. However, in rapidly urbanizing regions like the São Paulo Metropolitan Region (MRSP), significant environmental injustices in UGS accessibility present a complex challenge that requires in-depth understanding. Notably, existing studies predominantly focus on developed countries, leaving a gap in research concerning emerging economies in the Global South. This study aims to analyze the associations between sociodemographic factors and environmental racism in UGS accessibility within the municipalities of MRSP. The research utilizes Spearman Rank Correlation and multiple linear regression analyses on data sourced from the Brazilian Institute of Geography and Statistics and the Urban Green Data Platform. Key variables include the number of inhabitants, territorial area, population density, urbanization rate, gross domestic product (GDP), human development index (HDI), urban vegetation coverage, UGS per capita, and the difference between the total population and the Black or Indigenous populations residing outside the vicinity of UGSs as an indicator of environmental racism. The findings reveal significant correlations between higher GDP and HDI with increased environmental racism in UGS accessibility, suggesting that, in the absence of equitable policies, economic and human development may exacerbate disparities in green space distribution. Moreover, the study demonstrates that increased urban vegetation coverage is significantly associated with reduced environmental disparities, underscoring the role of urban greenery in mitigating inequality. These results emphasize the need for comprehensive urban planning and targeted policies that prioritize the equitable development of UGS, particularly in underserved areas. Future research should explore longitudinal data to establish causality and consider additional variables such as political governance and cultural factors, which could provide a more comprehensive understanding of environmental racism in UGS accessibility. Full article

Traditional villages are an important cultural heritage left by China’s agrarian civilization and serve as a testament to the historical development of the Chinese nation. The study of spatial and cultural differentiation in traditional villages is significant for their future preservation and development. Existing studies predominantly adopt a macro perspective, focusing on large-scale regions, and lack investigations from a micro perspective in medium- and small-scale areas. This study utilizes ArcGIS 10.8 for spatial analysis, multi-factor geographic detectors, and cultural geography spatial zoning methods to explore the spatial structure and cultural differentiation of 305 traditional villages in western Henan. The results indicate that the distribution of traditional villages in this region is significantly clustered and uneven, primarily concentrated in specific districts of Sanmenxia and Luoyang. Per capita GDP and the distance to roads are negatively correlated with the distribution of traditional settlements, reflecting the positive impact of lower economic levels and remote locations on village preservation. The spatial layout of traditional villages in western Henan exhibits clustering patterns, with cultural zoning characterized by distinct residential forms. This study, through the analysis of the spatial structure characteristics and influencing factors of traditional villages in the western Henan region, provides a new perspective on the formation and evolution of traditional villages, revealing the cultural differentiation characteristics of western Henan. The research results offer directional guidance for the conservation strategies of traditional villages in western Henan and provide a decision-making reference for cultural heritage conservation practices in similar regions. Full article

To characterize the nutrients and bioactive compounds in grape berries and to explore the real cause of the “French paradox” phenomenon, we performed metabolomic analysis of 66 grape varieties worldwide using liquid chromatography–tandem mass spectrometry (LC-MS). A nontargeted metabolomics approach detected a total of 4889 metabolite signals. From these, 964 bioactive and nutrient compounds were identified and quantified, including modified flavonoids, medicinal pentacyclic triterpenoids, vitamins, amino acids, lipids, etc. Interestingly, metabolic variations between varieties are not explained by geography or subspecies but can be significantly distinguished by grapes’ color, even after excluding flavonoids and anthocyanins. In our analysis, we found that purple grape varieties had the highest levels of key bioactive components such as flavonoids, pentacyclic triterpenes, and polyphenols, which are thought to have a variety of health benefits such as antioxidant, anti-inflammatory, and antitumor properties, when compared to grapes of other colors. In addition, we found higher levels of vitamins in red and pink grapes, possibly explaining their role in preventing anemia and scurvy and protecting the skin. These findings may be a major factor in the greater health benefits of wines made from purple grapes. Our study provides comprehensive metabolic profiling data of grape berries that may contribute to future research on the French paradox. Full article