Search Results (53)

Cultural ecosystem services (CESs) represent a critical link between ecosystems and human well-being and constitute a core foundation for regional sustainable development. The balance between CES supply and demand directly affects the coordination efficiency between ecological conservation and socio-economic development, making it a key prerequisite for ecosystem management, conservation planning, and policy formulation. This study focuses on the circum-Taihu region and integrates multi-source data to assess public perceived demand and spatial supply capacity of CESs. Supply–demand matching relationships are examined across three dimensions, namely, scenic beauty, cultural heritage, and recreation, through the construction of a region-specific CES quantitative indicator system. The impacts of multiple environmental factors on CES supply–demand dynamics are further explored to provide scientific support for coordinated ecological, cultural, and economic sustainability at the regional scale. The findings demonstrate the following: (1) the proposed methodology effectively quantifies CES perception and supply capacity in the circum-Taihu region. Scenic beauty exhibits the highest perception levels, whereas cultural heritage and recreation show lower perception. Cultural heritage displays the strongest supply capacity, whereas scenic beauty and recreation exhibit weaker supply. (2) Significant spatial imbalances exist between CES perception levels and supply capacity across the circum-Taihu region. Areas exhibiting mismatches constitute the largest proportion for cultural heritage CESs, followed by scenic beauty, with recreation displaying the smallest amounts of imbalance. (3) Environmental drivers exert differentiated effects on CES supply–demand relationships. Slope, road network density, and elevation have significant positive effects, whereas the normalized difference vegetation index (NDVI), distance to water bodies, and distance to roads exhibit significant negative effects. Distance to roads imposes the strongest inhibitory influence on CES perception, whereas elevation emerges as the most influential driver of public perceived CES levels. Full article

Urban roadside forests are vital components of green infrastructure that provide multiple ecosystem services, contributing to climate regulation, environmental quality, and urban resilience. This study assessed the multifunctional ecosystem services of roadside tree communities along four representative road types—Coastal Scenic, Commercial Arterial, Residential Secondary, and Industrial Park Roads—in Weihai, a coastal city in eastern China. Based on a complete tree inventory (6742 individuals from 38 species) integrated with the i-Tree Eco model, we quantified three key ecosystem services, carbon storage and annual sequestration, air-pollutant removal, and stormwater interception, and monetized their benefits. Results indicate that roadside forests stored approximately 1120 tons of carbon and sequestered 78 tons annually (≈USD 0.53 million; CNY 3.85 million), removed 1.28 tons of air pollutants per year (≈USD 9370; CNY 68,400), and intercepted 1560 m³ of stormwater (≈USD 5560; CNY 40,600). Commercial Arterial and Coastal Scenic Roads yielded the highest total ecosystem-service values, while Residential Secondary Roads achieved the greatest per-area efficiency. These findings highlight the significant contribution of urban roadside forests to sustainable and climate-resilient city development and underscore their potential role in urban forest planning and management. Full article

The sustainable development of ecologically sensitive areas, such as geoparks, requires a comprehensive understanding of the complex interactions between tourism expansion and ecosystem services (ESs). This study investigates these relationships through a case study of the Enshi Grand Canyon—Tenglongdong Cave UNESCO (United Nations Educational, Scientific, and Cultural Organization) Global Geopark, a representative karst landscape in China. We developed an integrated analytical framework that combines multi-source data with coupled modeling approaches, including the Integrated Valuation of ES and Tradeoffs (InVEST), Geographically and Temporally Weighted Regression (GTWR), Boosted Regression Tree (BRT), and structural equation modeling (SEM). This framework overcomes the limitations of single-method analyses and enables a comprehensive diagnosis of the spatiotemporal drivers and pathways influencing ES dynamics. Using this approach, we analyzed the evolution of ESs and their driving factors from 2010 to 2020. The results reveal that natural factors remained the dominant drivers of ESs (accounting for over 73% of total variation), while tourism impacts increased substantially over time and exhibited pronounced spatial heterogeneity. Specifically, (1) the tourism-driven expansion of construction land occurred largely at the expense of cultivated land and grassland, directly reducing ESs; (2) proximity to scenic areas intensified negative ecological effects, whereas proximity to roads and hotels displayed more complex, and occasionally positive, influences; and (3) tourism primarily affected ESs indirectly through land use/cover change (LUCC). This study provides a transferable framework for analyzing tourism–ecosystem service interactions and underscores the necessity of ecological zoning and adaptive management in vulnerable karst regions, offering valuable insights for the sustainable governance of other fragile ecosystems worldwide. Full article

Educational tourism serves as a vital avenue for enhancing students’ practical skills and knowledge acquisition. As key components of educational tourism, the spatial distribution and accessibility of educational tourism bases significantly influence the effectiveness of study tour programs. Here, we employed stepwise regression analysis and geographically weighted regression (GWR) to analyze the spatial distribution characteristics, accessibility, and driving factors of educational tourism bases along the Yellow River region. The results indicate that museums accounted for the greatest proportion at 25.14% of the nine types of educational tourism bases. The educational tourism bases show a pattern of “dense in the southeast and sparse in the northwest.” Furthermore, they demonstrate clustered distributions centered around provincial capitals. The key factors influencing the distribution of educational tourism bases, ranked from highest to lowest based on the absolute value of the GWR coefficient, are as follows: 4A and above scenic spots > urbanization rate > internet broadband users > length of classified roads > education expenditure. The accessibility of educational tourism bases is basically consistent in terms of time and spatial distance, both showing better accessibility in the southeast than in the northwest. However, where Sichuan Province and Gansu Province meet, time accessibility is better, while distance accessibility is worse. These findings provide valuable insights for promoting the sustainable development of educational tourism in the Yellow River region. Full article

Rural tourism agglomerations are increasingly viewed as catalysts for diversified regional growth, integrated rural revitalization, and improved farmer prosperity. However, most studies focus on urban and developed regions, leaving spatial patterns and evolutionary mechanisms in underdeveloped rural areas poorly understood. This study takes Jilin Province, an economically lagging region, as an example, measuring rural tourism agglomeration using spatial analysis methods including the Gini coefficient, nearest-neighbor index, Ripley’s K function, kernel density, and buffer analysis. Results show that agglomeration is significant and strengthening over time, with clear regional variations. All types of rural tourism products exhibit an “increase followed by decrease” pattern across spatial scales, evolving from isolated “nodes” to continuous “areas”. Agglomeration is subject to triple constraints from natural, economic, and social dimensions. This study suggests that high-quality rural tourism development should leverage point–axis spillover from flagship scenic areas, promote surface expansion of characteristic villages and towns, and strengthen network connectivity through roads and talent-information channels. Full article

Rapid regional development and intensified human activities increasingly disturb ecosystems, posing substantial threats to the integrity of large-scale ecological zones. As a World Natural Heritage site and a crucial national ecological zone, the Zhangjiajie Scenic Area plays a pivotal role in China’s environmental conservation efforts. To comprehensively assess tourism ecological security in the Scenic Area and strengthen the scientific basis for resource management and policymaking, this study developed a multi-dimensional ecological security evaluation system covering 2010–2024, incorporating dynamic changes in perturbation, reaction, and governance. Using entropy weight–TOPSIS and coupling coordination models, combined with obstacle degree analysis, we examined the temporal trajectory of ecological security and analyzed its underlying driving mechanisms. The study also examined factors influencing the sustainable development of the ecosystem. The results indicate the following: (1) Tourism ecological security in the Scenic Area followed a V-shaped trajectory of “rapid degradation—steady recovery—impact and rebound.” It declined sharply to an unsafe level between 2010 and 2014, steadily recovered from 2015 to 2019, briefly dropped in 2020, and then rebounded, reaching a peak evaluation value of 0.519 in 2024. (2) The co-evolution of perturbation, reaction, and governance subsystems has matured: their coupling coordination degree has increased annually and has remained at the level of “intermediate coordination” since 2020. The reaction subsystem plays a central role, serving as a bridge between perturbation and governance. (3) The driving factors exhibit a phased evolutionary pattern of “elements—facilities—structure—function.” Cultivated land area, total road mileage, and artificial afforestation area constitute the main long-term constraints. This research provides important insights for strengthening ecological security and sustainability in the Scenic Area while advancing regional ecosystem development. It also offers valuable guidance for ecological security management and policymaking in similar nature reserves. Full article

Flowering street trees are important carriers of urban landscapes and ecological functions, as well as a significant boost to the construction of “Shanghai Flower City”. Most existing studies focus on the ornamental value or single ecological benefits, and there are insufficient systematic evaluations of the landscape–ecology synergistic effect, especially as there are few quantitative studies on the landscape value during the flowering period and long-term ecological benefits. Scientific assessment of multiple benefits is of great significance for optimizing tree species allocation and enhancing the sustainability of road landscapes. Taking flowering street trees in Shanghai’s central urban area as a case study, this paper verifies the feasibility of using digital technology to evaluate their landscape and ecological benefits and explores ways to enhance these aspects. Landscape, ecological, and comprehensive benefits were quantitatively assessed using digital images, the i-Tree model, and the entropy-weighted method. Influencing factors for each aspect were also analyzed. The results showed the following: (1) Eleven species or cultivars of flowering street trees from six families and ten genera were identified, with the majority flowering in spring, fewer in summer and autumn, and none in winter. (2) The landscape benefits model was: Scenic Beauty Estimation (SBE) = −0.99 + 0.133 × Flowering branches+ 0.183 × Degree of flower display + 0.064 × Plant growth + 0.032 × Artistic conception + 0.091 × Visual harmony with surrounding elements. Melia azedarach L., Prunus × yedoensis ‘Somei-yoshino’, and Paulownia tomentosa (Thunb.) Steud. ranked highest in landscape benefits. (3) Catalpa bungei C. A. Mey., Koelreuteria bipinnata Franch., and Koelreuteria bipinnata ‘integrifoliola’ (Merr.) T.Chen had the highest plant height, diameter at breast height (DBH), and crown width among the studied trees, and ranked top in ecological benefits. (4) Koelreuteria bipinnata, Catalpa bungei, and Melia azedarach showed the best overall performance. The comprehensive benefits model was: Comprehensive Benefits = 0.6889 × Ecological benefits + 0.3111 × Landscape benefits. This study constructs a digital evaluation framework for flowering street trees, quantifies their landscape and ecological benefits, and provides optimization strategies for the selection and application of flowering trees in urban streets. Full article

In the Taihang Mountain Tourism Development Plan (2020–2035), the Taihang Mountain Expressway is included in the construction of the National Tourism Scenic Road around Taihang Mountain to promote the integrated development of regional transportation and tourism. The Lai-Qu Expressway is part of the Baoding section of the Taihang Mountain Expressway. Based on the data of traffic flow on the Lai-Qu Expressway, data of regional tourism resources, and data of regional economic and social development, this paper studies the interaction between the traffic and tourism space of the Lai-Qu Expressway by using spatial interaction, geographically weighted regression (GWR), and other geospatial analysis theories and methods. The results show that the traffic flow of the Baishishan Tollgate is directly correlated with the passenger flow of the Baishishan scenic spot. The spatial pattern of two tourism resource cluster centers and one sub-center, and one residential cluster center and one sub-center is expected to be formed along the Lai-Qu Expressway. The newly built traffic routes extend the influence of the traffic space and overlaps with the regional tourism space, not only providing new opportunities and possibilities for the development of regional tourism, but also promoting the change in the regional tourism spatial pattern and the cluster form of tourism resources. The research on the interaction between the traffic–tourism space in this paper can help to enrich the theoretical connotation of the research on the integration of transport and tourism, and can also be used to evaluate the tourism impact of newly built transport routes and serve the regional tourism development. Full article

This study aims to explore how historical attractions in old urban areas effectively contribute to tourism development. In particular, the accessibility and convenience of transport are analyzed using Spatial Syntax. Previous collaborative projects with local community colleges were assessed to obtain recognized spatial boundaries of old districts. The historic buildings and their points of interest were determined by the Hsinchu City Council. Modern cities’ grid patterns and straight roads connect various scenic spots. Using the spots, spatial syntactic analyses were conducted in this study. The impact of spatial features on the assessment was found indirect and dependent on the road network of the Old Town. A social responsibility program was also developed to investigate the rise and fall of cities in the development process. Full article

Historic and cultural scenic spots are concentrated spaces that hold historic and cultural value for a city, and their streets form the foundation of their scenery. Therefore, the street quality of historic and cultural scenic spots plays an important role in promoting the cultural and economic development of a city. We evaluate the development potential of road quality in historic and cultural scenic spots by using spatial data and the analytic hierarchy process (AHP) method. First, three-dimensional evaluation indices are constructed based on the functions of streets, including the perception of the natural environment, the perception of human emotions, and the accessibility of spatial facilities. Then, the weights of the indicators are calculated using the AHP method, and the evaluation scores of historical and cultural scenic spots are calculated based on spatial data. Finally, a ranking of historical and cultural scenic spots is obtained by combining the weights of the indicators and the performance of the scenic spots to determine the high-quality potential historical and cultural scenic spots of a road. The method proposed in this study is applied to Yanta District, Xi’an City, China, and high-potential scenic spots are analyzed in depth based on the ranking results to provide suggestions for the construction of historical and cultural scenic spots. By comprehensively applying spatial data and AHP methods, we can effectively identify cultural scenic spots with high street quality potential and provide targeted suggestions for the construction and development of cultural scenic spots. Full article

Human activities impact ecosystems globally, and understanding human–wildlife coexistence is crucial for species conservation. This study analyzed trends in local wildlife populations before and during the COVID-19 pandemic to assess their response to human disturbance. From 2017 to 2022, 60 camera sites were monitored, and seven species with the largest population size—excluding rodents—were selected for analysis. The results revealed that the presence of humans (p = 0.025) and domesticated animals (cats and dogs, p = 0.002) significantly decreased during the pandemic. Conversely, five species (except the Tibetan macaque and mainland serow) showed habitat expansion and population growth (p < 0.05), which may be related to their avoidance of human presence or artificial structures such as roads and tourism facilities. In addition, the analysis showed that most species, except the Tibetan macaque and wild boar, adjusted their activity patterns, showing increased diurnal activity when human disturbances were reduced (RR > 0). These findings suggest that species may adapt their behaviors to avoid human presence. This study highlights the negative impacts of human activities on local wildlife and emphasizes the need for stronger conservation and management efforts to mitigate human disturbances in scenic areas. Full article

With the development of international cultural heritage, the positive shift from historic environments to historic urban landscapes has been explored in China. At the same time, China is also trying to extend its heritage corridors to historic urban landscape corridors; thus, the spatial organization characteristics and themes of historic landscapes are being explored. This study took the Dunhuang Oasis area as an example and, based on regional, cultural, and natural heritage sites and man-made environmental characteristics, identified and evaluated historic urban landscape corridors. The least cumulative resistance model was applied to identify historic landscape corridors, and the multicenter evaluation model was used to classify the historic landscape corridors. From the perspective of corridor identification, the military defense and historic landscapes of the city ruins together reflect the human need for “city administration–border defense–ancient trade and commerce”. Grottoes and scenic landscapes are more dependent on the Gobi Desert, mountains, and other areas intertwined with the oasis. The drainage system and water conservancy landscape consists of four stable landscape corridors containing east, west, north, and south canals, which are the basic driving force for the growth of the town. From the corridor hierarchy, we studied layer formation from the Dunhuang urban area, the western and northern local oasis dry canal, Mingsha Mountain–Crecent Spring, etc., as interconnected trunk corridors. The periphery of the Dunhuang urban area encompasses the southern trunk canal, southeastern Mogao Grottoes–Sanwei Mountain road, and other branch corridors. This study determined the composition and level of importance of historic landscape corridors, while at the same time enhancing the visual representation and skyline organization, which can be used for territorial spatial planning and research in functional urban areas. Full article

Heritage is the commonwealth of all humankind. In the context of the rise in global tourism and the continuous deepening of cultural and tourism integration, tourism has emerged as an effective vehicle for the preservation and development of heritage sites. However, it also imposes adverse effects on the local ecological environment and heritage sites, exerting significant pressure on regional sustainable development. In this study, three cities along Jianmen Shu Road were selected as the study area. A comprehensive evaluation index system was developed for tourism ecological security (TES) based on the Driver–Pressure–State–Impact–Response model, and an in-depth analysis of its spatial–temporal evolution characteristics, spatial–temporal migration trends, and influencing factors was performed. The results show that (1) from 2012 to 2022, the average TES in the study area decreased annually, while it increased in Jiange County, Anzhou District, and Santai County. The TES indices were generally higher in areas with a high density of heritage sites or developed economies. Additionally, the districts and counties along the Jianmen Shu Road route never exhibited a deteriorated state. (2) From 2012 to 2022, TES in the study area exhibited an obvious “northeast–southwest” directional pattern, and its center of gravity followed a “V”-shaped trajectory. Overall, the spatial patterns showed minimal variation and exhibited agglomeration characteristics. (3) From 2012 to 2022, the main factors influencing TES included the density of Jianmen Shu Road heritage sites (S6), the number of 3A and above scenic areas (S5), the proportion of cultural tourism and sports in total expenditure (R3), the Normalized Difference Vegetation Index (NDVI) (S4), and other tourism and environmental factors. Moreover, TES systems are becoming increasingly complex and diverse. Finally, based on the results, a comprehensive conceptual framework of the driving mechanism was developed. Additionally, four targeted and scientifically grounded policy recommendations were formulated for restoring, protecting, and managing the TES in the Jianmen Shu Road Heritage Area. This study provides significant reference value for ecological environment preservation and the high-quality development of cultural tourism integration in heritage areas. Full article

In view of global climate and environmental challenges, exploring sustainable urban vegetation management and development is crucial. This study aims to investigate the design strategies of urban road green space plants under the guidance of the dual theories of carbon sequestration and cooling eco-efficiency and aesthetics. In this study, Yangling, a representative small- and medium-sized city, was selected as the study area, and road green space plants were identified as the research objects. The assimilation method was employed to ascertain the carbon sequestration and oxygen release, as well as the cooling and humidification capacities of the plants. The aesthetic quality of the plants was evaluated using the Scenic Beauty Estimation and Landscape Character Assessment. Finally, we propose design strategies for landscapes with higher aesthetic and carbon sequestration and cooling benefits. The results demonstrate a clear nonlinear positive correlation. The carbon sequestration and cooling benefits of plants and the aesthetic quality, with correlation coefficients of 0.864 and 0.922, respectively. Across the same sample points, the rankings of standardized values for carbon sequestration, cooling benefits, and aesthetic quality vary minimally. This indicates that eco-efficient plants with harmonious colors and elegant forms can boost the aesthetic appeal and ecological function in road green spaces. Furthermore, the Sophora japonica Linn., Ligustrum lucidum Ait., Koelreuteria paniculata Laxm., Prunus serrulata Lindl., Prunus cerasifera Ehrhar f., Ligustrum sinense Lour., Photinia × fraseri Dress, Ligustrum × vicaryi Rehder, Sabina chinensis (L.) Ant. cv. Kaizuca, and Ophiopogon japonicus (L. f.) Ker Gawl. are proved to be ecologically dominant plants. They can be employed as the principal selected species for plant design. This study summarizes applicable design strategies for three types of green spaces: avenue greenbelts, traffic separation zones, and roadside greenbelts. The nonlinear regression model developed here provides a reference for scientifically assessing and optimizing urban planting designs. Full article

Xishu Gardens embodies the essence of traditional Chinese landscape design, boasting unique cultural heritage and local charm. However, research on it is often limited to the aesthetic aspects of gardens, lacking the scientific analysis of garden spaces. This paper explores Xishu Gardens through the lens of space syntax, a method commonly used for analyzing architectural features. The focus is Qingxi Garden, located within the Dujiangyan Scenic Area. It is one of the representative gardens of Xishu Gardens. Based on field investigation and spatial mapping, Qingxi Garden was digitally reconstructed for the first time followed by a detailed analysis in open-source software DepthmapX 0.8.0. This analysis involved a meticulous examination of the garden’s pathways and spatial elements, integrating on-site measurements and survey data to ensure precision. By conducting a quantitative analysis of the spatial structure of Qingxi Garden, the results indicate that areas with low visible depth, as well as high road connectivity and integration, are more accessible to visitors. This accessibility serves as the central spatial node within Qingxi Garden, where a collection of bonsai is prominently exhibited. The interplay between spatial features in the landscape and architectural spaces can significantly influence tourist activities. The landscape architecture of the garden features the distinctive ventilated lattice design characteristic of West Shu gardens, providing visitors with a comfortable spatial experience. The design of Qingxi Garden not only inherits the natural design principles of West Shu gardens but also scientifically integrates the spatial layout of bonsai exhibitions. The design of Qingxi Garden draws upon the traditional garden-making techniques of the Xishu region while also respecting the natural topography of the site. It incorporates local cultural elements, such as bonsai, into its framework. The arrangement of the bonsai exhibition is executed in a scientific and rational manner. Qingxi Garden aims to achieve a harmonious integration of natural beauty and cultural aesthetics in its design, resulting in a garden landscape that is both visually appealing and rich in cultural significance. The design principles and methodologies employed offer a novel perspective for contemporary garden design. Full article