Search Results (1,985)

Intangible cultural heritage (ICH) embodies national memory. China has established a four-level ICH protection system covering national, provincial/autonomous regional, municipal, and county levels. The Ningxia Hui Autonomous Region possesses abundant ICH resources formed by intensive cultural integration. However, existing studies have mostly focused on the national and provincial levels and paid insufficient attention to county-level ICH, which restricts detailed analysis of its spatial characteristics. Based on 1546 four-level ICH items, this study employs GIS spatial analysis and the geodetector method to investigate the spatial distribution characteristics and driving factors of ICH. The results indicate that ICH quantity is the highest in Yinchuan (372) and the lowest in Shizuishan (163). Traditional skills (763) are predominant, while Quyi (15) is the rarest. The imbalance index ($s$ = 0.1553) and the geographic concentration index ($G$ = 46.1) demonstrate that ICH is unevenly distributed and clustered at the municipal scale, showing a pattern of high density in the north and low density in the south. The Hui population ($q$ = 0.5639), cultural industry employees ($q$ = 0.4835), and annual precipitation ($q$ = 0.3809) are the main driving factors, with significant multi-factor interactions. This research provides a theoretical reference and practical paradigm for balanced ICH protection and living heritage in Ningxia. Full article

Against the backdrop of the transition of new-type urbanization towards high-quality development, the triple contradictions of population agglomeration, land constraints, and housing supply-demand imbalance have become increasingly prominent. The conventional binary framework of human–land relations can no longer meet the requirements of coordinated development within human settlement systems, creating an urgent need to examine the multi-system interactions among population, land, and housing in order to resolve spatial mismatch. Taking Guangzhou as a case study, this research integrates 2020 population census data, land-use data from the European Space Agency (ESA), housing-price data from the Anjuke platform, and multi-source data on related influencing factors, and conducts a systematic empirical analysis by combining coupling coordination analysis, a relative development model, and the geographical detector. The findings reveal that the coupling coordination level of population, land and housing in Guangzhou exhibits a concentric, ring-shaped distribution pattern with central agglomeration and peripheral decline. The relative development among the three systems can be classified into matching types including the core-differentiated type, the peripheral-imbalanced type, and the surrounding-equilibrium type. With respect to influencing factors, all pairwise interactions are of the bi-factor enhancement type, and the driving mechanism displays a three-stage dynamic evolution. This study enriches research on human–land relations, provides precise guidance for optimizing spatial allocation and alleviating housing mismatch conflicts in Guangzhou, and offers transferable practical experience for comparable cities in China seeking to advance the high-quality development of new-type urbanization. Full article

Focusing on contrasting climate and land use pathways, this analysis explores the changing trajectories of water conservation function over time. An integrated framework combining the PLUS and InVEST models with Spearman’s correlation analysis and geographically weighted regression (GWR) was applied to examine the spatiotemporal heterogeneity and underlying drivers of water conservation function in the Chengdu–Chongqing Economic Zone during the period 2000–2020. Thus, it further predicted the evolution trend under two scenarios, namely SSP1-1.9 (Sustainable Development Pathway) and SSP2-4.5 (Medium Development Pathway), for the period 2030–2050. The findings reveal that: (1) Between 2000 and 2020, the spatial distribution of water conservation function shifted markedly, with low-value areas contracting and high-value zones expanding, alongside a progressive transition toward a predominantly medium-to-high functional structure. (2) In mountainous and hilly transition zones, precipitation (PRE) and forest cover proportion (FCP) exhibited notably positive effects, whereas evapotranspiration (PET) exerted a negative effect. In contrast, in plain and urbanized areas, built-up land proportion (BUP), population density (POP), and gross domestic product density (GDP) demonstrated pronounced negative effects. (3) Future simulations indicate that under the sustainable development pathway (SSP1-1.9), the combined area of high and extreme functional zones will recover by 2050, whereas under the moderate development pathway (SSP2-4.5), such extreme functional zones will be nearly eliminated. These results underscore the substantial impact of development pathways on regional water security and sustainability. Full article

Under global climate change, ungulate distributions are generally shifting poleward. However, the dispersal pathways, dynamics of suitable habitat, and environmental drivers of the expanding Milu population in the intensively used coastal wetlands of Jiangsu Province remain poorly understood. To support conservation and management, this study used field occurrence data and environmental variables to predict potentially suitable habitat for Milu under current and future climate scenarios. The Biomod2 ensemble modeling framework was applied to assess spatial changes in habitat suitability, and Geographical Detector was used to identify key environmental drivers. Current potentially suitable habitat showed a belt-like pattern along the coast, with the high suitability area covering 0.035 × 10⁴ km². Under future climate scenarios, potentially suitable habitat for Milu is projected to expand in the central and northern coastal areas of Jiangsu, with a substantial increase in the predicted total suitable habitat area. Dis_coastline, BIO14, BIO4, and Pop_density were identified as key factors influencing the distribution of potential suitable habitat for Milu, among which BIO4 and BIO14 were the principal climatic drivers affecting the northward shift in future suitable areas. These results suggest that Milu habitat suitability is jointly shaped by coastline proximity, temperature and water-availability conditions, and population density. Conservation should prioritize the protection of highly suitable habitats, improve patch connectivity, reduce human disturbance, and strengthen wetland protection and vegetation restoration. Full article

Ecological zoning is important for understanding spatial heterogeneity and supporting landscape-level management. However, existing approaches rarely integrate ecosystem service supply with ecological risk, and their underlying nonlinear relationships remain insufficiently explored. This study aims to develop an integrated framework linking ecosystem service value (ESV) and landscape ecological risk (LER) based on a two-dimensional quadrant model. This framework integrates ESV and LER from complementary benefit–risk perspectives, advancing ecological zoning beyond single-indicator approaches. Using the Miyun Reservoir Basin as a case study, multi-source data from 2000 to 2020 were used to quantify ESV and LER and to examine their spatiotemporal dynamics. The ESV-LER framework was applied to identify ecological functional zones. In addition, the XGBoost-SHAP model combined with the Geographical Detector was used to explore the nonlinear effects and interactions of natural and anthropogenic drivers. ESV showed a “decline-recovery” trend, whereas LER exhibited an opposite “decrease-increase” pattern. Areas with both high ESV and high LER were mainly distributed around the reservoir and river networks, suggesting a spatial mismatch between ecological value and risk. Ecological improvement and conservation zones accounted for approximately 79% of the basin, while ecological risk prevention zones expanded over time, indicating increasing human disturbance. NDVI was identified as a dominant factor with dual effects, enhancing ESV while reducing LER, whereas population density and NPP exhibited nonlinear threshold effects that increased ecological risk. Overall, this study advances ecological zoning by integrating functional value and risk perspectives while explicitly revealing their nonlinear drivers. The proposed framework provides a transferable and interpretable approach for watershed-scale ecological management and supports more targeted and differentiated governance strategies. Full article

Background: Crimean–Congo hemorrhagic fever virus (CCHFV) is an important tick-borne zoonosis and an emerging public health threat across Africa. Although evidence of viral circulation is mounting, information remains fragmented, limiting a comprehensive understanding of transmission ecology, regional hotspot heterogeneity, and preparedness needs across the continent. Methods: This narrative review critically synthesized published literature on CCHFV in Africa, identified through PubMed, Scopus, and Google Scholar and supplemented by citation tracking and authoritative public health reports. Evidence from epidemiological, ecological, molecular, surveillance, and One Health studies was integrated to examine transmission dynamics, geographic hotspot distribution, viral diversity, risk factors, diagnostic and surveillance challenges, and preparedness strategies. Results: Available evidence shows marked geographic heterogeneity in CCHFV transmission across Africa, with hotspot regions shaped by ecological suitability, Hyalomma tick distribution, livestock–human interactions, and health system capacity. Livestock consistently show higher exposure than humans, underscoring their role as key indicators of viral circulation. Diagnostic limitations, passive surveillance, ecological variability, and serological cross-reactivity contribute to substantial under recognition of disease burden, while molecular studies reveal considerable viral diversity and ongoing evolution across African regions. Conclusions: CCHFV remains underdiagnosed and underreported in many African settings because of limited surveillance and diagnostic capacity. Strengthening integrated One Health surveillance, expanding laboratory and genomic capacity, utilizing livestock as sentinel populations, and improving cross-sectoral collaboration are critical for enhancing early detection, outbreak preparedness, and effective public health response across the continent. Full article

Understanding the internal spatial structure of widely distributed species is fundamental for biogeographic theory and conservation practice, yet such structure is often masked by extent-based range metrics. We investigated the spatial organisation of Pseudopus apodus (Pallas, 1775), the largest limbless lizard of the Western Palearctic, using 3967 occurrence records spanning 1843–2025. Spatial point pattern analysis revealed a pronounced deviation from complete spatial randomness (Clark–Evans R = 0.105, p < 0.001), with strong fine-scale clustering. Kernel density estimation identified a clear core–periphery organisation: high-density core areas accounted for 30% of records but occupied only 22% of the total extent of occurrence (EOO). The discrepancy between EOO (~8.9 million km²) and area of occupancy (AOO; ~8944 km²) spanned three orders of magnitude, emphasising that only a small fraction of the species’ geographic envelope is actively occupied. Spatial heterogeneity was high (coefficient of variation ≈ 0.99), and core and peripheral occurrences were significantly segregated along both latitudinal and longitudinal gradients. The proportion of core records showed a weak positive temporal trend most plausibly attributable to sampling effort, particularly the recent expansion of citizen-science contributions, rather than to ecological processes. These findings demonstrate that P. apodus exhibits a compact spatial core embedded within a broad, sparsely occupied periphery, underscoring the limitations of EOO-based metrics in the conservation assessment of widely distributed reptiles. We emphasise that this structure is characterised using the density of occurrence records and therefore describes the observed spatial organisation of the available data rather than directly measured population density; ecological interpretations are accordingly framed as hypotheses requiring independent validation. Full article

The genus Tulipa L. is a common group of ornamental plants, characterized by high morphological variability and a complex taxonomy. Despite considerable interest in this group, assessments of its species composition remain inconclusive, as evidenced by discrepancies between contemporary taxonomic sources. The number of recognized taxa varies across major taxonomic databases, including Plants of the World Online, World Flora Online, and Euro+Med PlantBase, reflecting ongoing taxonomic revisions and differences in species concepts. In terms of distribution patterns, 7.6% are widely distributed taxa across transcontinental regions, 28.0% occur across multiple countries within a continent, and 66.9% are range-restricted taxa. The latter group includes 4.2% transnational endemics, 44.1% single-country endemics, 8.5% single-region endemics, and 10.2% single-site endemics. Recent taxonomic and evolutionary studies of Tulipa increasingly rely on molecular approaches, particularly DNA barcoding and chloroplast genome analyses, which have improved phylogenetic resolution and species delimitation in several cases. However, truly comprehensive studies combining morphological, cytogenetic, and molecular datasets remain limited and are typically restricted to individual taxa or species complexes rather than the genus as a whole. Modern molecular genetic studies demonstrate the high informativeness of both nuclear and plastid markers for studying the phylogeny, systematics, and genetic diversity of Tulipa species. Natural populations of Tulipa are under pressure from anthropogenic factors and climate change, resulting in reduced range and habitat degradation. According to the International Union for Conservation of Nature Red List of Threatened Species, among 118 taxa of the genus Tulipa, T. sprengeri Baker is classified as Extinct in the Wild, 5.9% as Critically Endangered, 5.9% as Endangered, 8.5% as Vulnerable, 11.9% as Near Threatened, and 11.0% as Least Concern. The use of exclusively national assessments to determine species extinction risk may be insufficiently objective, whereas global assessments provide a more informative and reliable approach for evaluating conservation status. In this review, we combine investigations of the morphology, taxonomy, and geographic diversity; population genetic structure and molecular diversity; and molecular phylogenetics and plastome-based genomics of the genus Tulipa. Furthermore, the review examines current challenges and future research prospects, emphasizing that studies of the genus Tulipa should integrate morphological, genomic, and ecological approaches to refine taxonomy and conserve genetic resources. Full article

This study aims to reveal the spatial-temporal evolution rule and driving mechanism of cropland multifunctionality in major grain-producing areas. Taking Henan Province as the research case, we establish a comprehensive evaluation index system covering production, living, ecological and cultural functions based on multi-source datasets spanning 2013–2022. It adopts the entropy weight method, spatial analysis and geographical detector (GeoDetector) model to analyze the spatial-temporal differentiation characteristics and influencing mechanism of cropland multifunctionality systematically. The results show that the overall level of cropland multifunctionality in Henan Province rose from 2013 to 2022. Its spatial pattern presents a feature of high in the south and low in the north, with obvious agglomeration in southern Henan. The production function is high in the east and low in the west with a stable pattern. The living, ecological and cultural functions all show a distribution of high in the south and low in the north, with prominent regional differences. Factor detection results indicate that average slope, population density and average annual temperature are the core driving factors. The overall influence of natural factors is stronger than that of socio-economic factors. Interaction detection shows that all factors produce a strengthening effect, mainly in the form of nonlinear enhancement effects. Based on this, the research has proposed targeted and differentiated strategies for the management of cultivated land. Specifically, southern Henan should consolidate its inherent multifunctional advantages and strengthen the coordinated development of production, ecological and cultural functions. Northern and western Henan needs to mitigate terrain and climatic constraints, optimize agricultural infrastructure, and improve overall cropland service capacity. Eastern plain areas should further stabilize grain production function while balancing ecological protection. Central urban agglomerations should coordinate urban expansion and cropland protection to restrain multifunctional degradation. Full article

Background: International travel and global mobility have led to an increasing number of pediatric patients presenting with infections acquired outside Europe. However, epidemiological data on imported infectious diseases in children remain fragmented, with substantial heterogeneity across studies. This systematic review aimed to synthesize current evidence on the spectrum, distribution, and epidemiological characteristics of imported infections in children and adolescents returning to Europe. Methods: A systematic review was conducted in accordance with PRISMA 2020 guidelines and registered in PROSPERO (CRD420251245531). PubMed, Scopus, and the Cochrane Library were searched for studies published between 2010 and December 2025. Studies reporting laboratory-confirmed or clinically diagnosed imported infections in pediatric populations (0–18 years) returning to Europe were included. Data were extracted and synthesized descriptively, with separate analyses for malaria-specific, non-malarial, and syndromic cohorts. Results: A total of 31 studies was included. Malaria was the most consistently reported infection, predominantly caused by Plasmodium falciparum and most frequently reported in association with travel to sub-Saharan Africa, which accounted for the largest proportion of reported exposures in clinical cohorts. Visiting friends and relatives (VFR) was the dominant travel category, representing between 45.8% and 87.4% of cases in disaggregated malaria cohorts and a substantial proportion across non-malarial studies. Non-malarial infections—including gastrointestinal, bacterial, parasitic, and viral diseases—represented a substantial proportion of cases in mixed and post-travel cohorts, with gastrointestinal illness frequently constituting the leading diagnosis. Considerable heterogeneity was observed across studies in terms of design, diagnostic approaches, and reporting practices, precluding formal meta-analysis. Conclusions: Imported infections in pediatric travelers encompass a broad and heterogeneous spectrum extending beyond malaria alone. Diagnostic approaches should integrate travel history, geographic exposure, and clinical presentation. Standardized pediatric-specific surveillance and harmonized reporting are needed to improve comparability and support more accurate epidemiological assessment. Full article

Castanea seguinii Dode is ecologically and economically significant in China, and its potential as a carbon sink and ability to adapt to varying climates have garnered considerable interest. In light of global warming, the geographical distribution of Castanea seguinii is experiencing notable changes. This study employs the Maximum Entropy (MaxEnt) model to forecast both present and future potential habitats conducive to the survival of Castanea seguinii across four emission scenarios (SSP126, SSP245, SSP370, and SSP585) and utilizes Fragstats 4.2 to analyze fragmentation in its most suitable regions. Findings reveal that current habitats that support adaptation are chiefly located in southern China, covering around 12.7% of the total land area of the country. Key factors affecting this distribution are precipitation levels during the driest month, average temperatures recorded in the driest quarter, precipitation rates in the wettest quarter, isothermality, and elevation, with climate-related variables exerting the greatest influence. As carbon emissions vary, a general trend of habitat contraction is observed for Castanea seguinii, especially in regions that are highly adaptive. The populations of Castanea seguinii are shifting northwestward into areas at higher latitudes and altitudes. This upward movement reflects pronounced nonlinear traits as the intensity of carbon emissions changes. An increase in carbon emissions leads to greater fragmentation in regions that are most adaptable, with the lowest and low fragmentation levels falling to a minimum by 2090 under the SSP585 scenario. The reduction in highly adaptive habitats will contribute to increasing fragmentation. These results offer vital scientific insights for the conservation and management of Castanea seguinii forest resources amid climate change and the pursuit of carbon neutrality. Full article

Urban soil contamination by potentially toxic elements (PTEs) is a recognized health concern in densely populated urban environments. Through a systematic meta-analysis of 91 peer-reviewed studies (2000–2025) reporting 12,174 sampling sites in capital and core cities, we characterized regional patterns in the spatiotemporal dynamics and health risks of eight PTEs across two well-represented continental subsets (Asia, k = 18–36 per element; Europe, k = 11–23 per element) with comparative reference to the Americas, Africa, and Oceania. Given the uneven geographic distribution of qualifying primary studies, continental comparisons should be interpreted as hypothesis-generating: Asia (k = 18–36 per element) and Europe (k = 11–23 per element) provide the statistically robust core of the synthesis, while results for the Americas (k = 3–7 for several elements), Africa (k = 4–15), and Oceania (k = 2) are presented as illustrative rather than statistically representative. Pooled concentrations followed Zn (138.59) > Pb (56.97) > Cr (54.26) > Cu (47.00) > Ni (31.94) > As (8.56) > Hg (3.13) > Cd (1.23) mg·kg⁻¹. Within the well-represented Asian and European subsets, Asian cities showed the most severe enrichment of As, Cd, Cr, and Hg (I_geo > 4 in hotspots such as Kathmandu I_geo (Cd) = 7.06 and Jinan I_geo (Hg) = 5.27), whereas European centres exhibited substantial legacy Pb accumulation (pooled mean 87.69 mg·kg⁻¹). A reproducible pollution gradient was identified across functional zones: industrial > transportation ≥ residential > commercial > agricultural > urban green areas. The deterministic non-carcinogenic Hazard Index (HI = 1.49) for children in Asia exceeded the safe threshold (HI > 1), driven primarily by As and Cr exposure via incidental soil-and-dust ingestion. Monte Carlo probabilistic assessment (N = 10,000) confirmed elevated cumulative non-carcinogenic risk at the median of the exposure distribution for children in the data-rich Asian (P50 = 1.55; P(HI > 1) = 81.9%) and European (P50 = 1.28; P(HI > 1) = 69.8%) subsets, with adults in both subsets remaining well below the safety threshold (P(HI > 1) = 0.0%). Temporal analysis revealed a decoupling between economic growth and PTE accumulation in long-established cities, together with an inverse Ni–population correlation indicative of strategic resource allocation. For Asian capital and core cities, where the evidence base is strongest (k = 18–36 per element), the present synthesis supports further investigation of risk-based, child-centric soil management as a public-health priority. For European cities (k = 11–23 per element), the same direction of risk is indicated but should be confirmed in regionally focused syntheses. Policy considerations for under-represented regions should await expansion of the primary monitoring base. Full article

Thalassemia is an inherited hemoglobin disorder caused by reduced or absent globin chain synthesis, with heterogeneous distribution worldwide and in Brazil. Back-ground/Objectives: This systematic review aimed to estimate the frequency of thalas-semia in the Brazilian population according to thalassemia type, geographic region, and population characteristics, as well as to evaluate the impact of diagnostic methods on frequency estimates. Methods: A systematic review was performed following PRISMA 2020 recommendations, in January 2026, including original studies conducted in Brazil-ian populations that reported thalassemia frequency data. Results: Thirty-six studies met the inclusion criteria, of which 77.8% were classified as high quality. The overall average frequency of thalassemia in Brazil was 7.5%, varying according to thalassemia type and diagnostic approach. The mean frequency of alpha thalassemia carriers was 12.3% (range: 5.5–54.0%), with regional variation from 5.79% in the Midwest to 17.3% in the Southeast. The −α^{3.7 kb} deletion was the most frequently reported mutation na-tionwide. Beta thalassemia showed a mean frequency of 2.81% (range: 0.24–18.1%), with regional values ranging from 0.59% in the Southeast to 12.2% in the North and a wide spectrum of pathogenic variants. Distinct frequency patterns were observed in populations with inherent interpretative bias, including individuals with sickle cell trait, systemic lupus erythematosus, microcytosis, and Black populations. Molecular diagnostic methods demonstrated higher sensitivity, enabling the detection of asymp-tomatic carriers and reducing false-negative results. Conclusions: These findings pro-vide a comprehensive epidemiological overview of thalassemia in Brazil and reinforce the importance of molecular diagnostics for accurate screening, genetic counseling, and the development of public health strategies. Full article

The Saudi Green Initiative (SGI) represents a major national effort to enhance environmental sustainability and urban livability in Saudi Arabia. Despite its ambitious targets, limited empirical research has evaluated its spatial performance and social impacts. This study assesses the progress of SGI implementation in Riyadh by examining the spatial distribution, accessibility, and equity of urban green spaces (UGS), alongside residents’ perceptions of their quality. A mixed-methods approach was adopted, integrating Geographic Information Systems (GIS)-based spatial analysis with a structured survey of 180 residents. Spatial indicators were evaluated against the World Health Organization (WHO) benchmark of 9 m² per capita and the SGI target of 28 m² per capita. The results reveal that although total green space has increased between 2018 and 2024, its distribution remains uneven, with high-density neighborhoods consistently falling below recommended standards. Survey findings indicate high satisfaction with recreational and environmental benefits, but lower satisfaction with facilities and public engagement. The study highlights that increasing total green space alone does not ensure equitable access and emphasizes the need for population-sensitive planning strategies. These findings provide practical insights for improving the spatial equity and effectiveness of urban greening initiatives and contribute to broader sustainable urban development goals. Full article

As a key driver of sustainable urban development, the digital economy transforms urban spatial structures through novel organizational forms such as digital enterprises. Understanding the spatiotemporal distribution of these enterprises is crucial for fostering equitable and efficient urban growth. Focusing on Hangzhou, a leading digital city in China, this study applies kernel density estimation, the standard deviational ellipse, and the nearest neighbor index to analyze the evolution patterns of newly established digital enterprises (NDEs) from 2010 to 2020. It further integrates geodetector and multiscale geographically weighted regression (MGWR) to uncover the drivers behind their spatial differentiation. The results indicate that: (1) The spatial pattern of NDEs evolved from “single-core diffusion” to a “dual-core with multi-center and axial contiguous” structure, yet the density gap between cores and peripheral counties persisted. (2) NDEs exhibited increasing spatial agglomeration over time. (3) Global drivers: the nighttime light index exerts the strongest positive effect, while land costs and population density show negative effects, reflecting cost-squeeze and decentralized locational preferences. (4) Locally, bus accessibility, innovation level and science-education-culture level, display strong spatial heterogeneity; innovation level has very high positive coefficients in innovation poles but negative effects in ecologically sensitive or deindustrialized areas, revealing an “innovation multiplier effect” alongside resource misallocation risks. These findings provide empirical evidence of how digital economy actors spatially manifest, offering insights for urban planners and policymakers to leverage digital growth for guiding sustainable spatial restructuring, enhancing resource allocation efficiency, and promoting balanced regional development. Full article