Search Results (119)

The Calakmul Biosphere Reserve, in southeastern Mexico, is a major conservation area known for its tropical forests, emblematic wildlife species, and long history of Maya occupation. Established in 1989 as a federal Natural Protected Area, it was incorporated into UNESCO’s Man and the Biosphere Program in 1993 and designated a mixed World Heritage Site in 2014. Its socioecological trajectory is distinctive: conservation efforts advanced alongside the contemporary rural settlement resulting from agrarian reform and subsequent development and welfare policies. This article examines the persistent imbalance between ecological conservation and socioeconomic development surrounding the Calakmul Biosphere Reserve, focusing on water vulnerability in adjacent communities. The study integrates environmental history with household-level survey data on water access and vulnerability among 200 households in eight communities in the Biosphere Reserve’s transition zone, complemented by interviews with key water-management stakeholders. We document the consolidation of conservation through management plans, advisory councils, payments for ecosystem services, scientific research, and expanding voluntary conservation areas. Yet these advances contrast sharply with everyday socioeconomic realities: 68% of households face prolonged water scarcity, with an average of more than 30 days annually without water. Calakmul’s case highlights structural mismatch between conservation and local human well-being in Natural Protected Areas contexts. Full article

Sustainable management of cultural heritage in mountainous regions requires effective strategies to mitigate natural hazards such as landslides. Landslide susceptibility mapping (LSM) provides a critical tool to support these conservation efforts. This study presents a hybrid framework that integrates probabilistic slope stability modeling with ensemble learning for LSM in the UNESCO World Heritage sites of Shirakawa-gō and Gokayama, Japan. The framework uses probabilities of failure from Bishop’s simplified method combined with Monte Carlo simulations to guide non-landslide sample selection. An enhanced tri-parametric optimization was applied to refine the slope unit segmentation process. SHAP analysis revealed that the hybrid framework emphasizes physically meaningful features such as rainfall. The proposed method results in AUC gains of 0.072 for XGBoost, 0.066 CatBoost for, and 0.063 for LightGBM compared to their buffer-based counterparts. Future landslide susceptibility was mapped based on the 2035 precipitation projections from ARIMA time-series modeling. By enhancing accuracy, interpretability, and geotechnical consistency, the proposed approach delivers a robust tool for sustainable risk management. The study further evaluates the exposure of Gasshō-style houses and other historic buildings to varying levels of landslide susceptibility, offering actionable insights for local planning and heritage conservation. Full article

Since 2018, Al-Ahsa Oasis has become a UNESCO site because of the integration of the natural, agricultural, and cultural elements. The objective of this research is to investigate land cover changes (LCC) in this region and the key sustainability factors that influence their likelihood of occurrence between 2000 and 2020. A two-stage methodology was employed, first estimating the LCC level using USA-ArcGIS 10.3 and USA-ENVI 5.4 on digital data gathered from satellites visualizations (LANDSAT). Second, it evaluates the LCC occurrence variables using a binary logistic model (BLM) based on data from 105 surveyed farmers. The major findings reveal a decline in the vegetation area by 324.35 ha and in the desert area by 1625.81 ha. Meanwhile, the areas of bare ground and the city have increased by 1389.79 ha and 560.37 ha, respectively. According to the BLM findings, climate change, elderly farmers (more than 50 years), and small holding size raised the likelihood of LCC occurrence, with an odds ratio superior to one. Meanwhile, it was negatively impacted by the use of modern irrigation methods (drip and sprinkler), technology, and the availability of scavenger manpower in the oasis. Their odds ratios are inferior to one. The urban sprawl had a non-significant negative effect on the LCC. To preserve the identity of the zone as a sustainable agricultural and UNESCO heritage site, the researchers advocate for awareness and extension efforts aimed at the elderly to improve traditional production practices, enhance plant resilience, increase farm sizes for better earnings, and combat climate change effects to protect native plant species. Full article

This study discusses the unique features of the rural park Parque Rural del Nublo (Gran Canaria) that resulted in the designation of this site as UNESCO’s Biosphere Reserve. Due to its indigenous flora and fauna, its mild climate and its farming lands, this park is considered as an outdoor “sustainable research laboratory”. This paper describes the main features (source, denomination, classification, municipality, year of declaration and hydro-chemical facies) of some of the many groundwater springs found in the park. The quality of the drinking water obtained from the spring “El Molinillo”, located in the basin of the municipality of Tejeda, is analysed by assessing its organoleptic, physico-chemical, chemical and bacteriological properties. Considering that it is described as “natural mineral water”, based on the taxonomy for mineral–medicinal waters, the water from “El Molinillo” is classified as hypothermal, alkaline and very soft water, with a low conductivity, a very weak mineralisation and a significant silica content. The water especially contains the following ions: bicarbonate, chloride, magnesium and calcium. The paper describes several pharmacological effects and therapeutic indications attributed to this water, analysing the impact of its silica content on human and plant health. The paper concludes that the park should be permanently protected as a World Heritage Site, and the water obtained from “El Molinillo” is classified as “drinking water”, “natural mineral water” and “mineral–medicinal water”. Full article

Given the complex financing challenges in marine conservation, this study examines common and digital finance mechanisms and recommends a hybrid finance model for Tubbataha Reefs Natural Park (TRNP), a United Nations Educational, Scientific and Cultural Organization (UNESCO) World Heritage Site and an ecologically vital marine protected area in the Philippines [...] Full article

The 2026 opening of the Gordie Howe International Bridge between Windsor, Ontario, Canada and Detroit, Michigan, USA, with its multi-use trail for cyclists and pedestrians, is projected to catalyze cross-border trail tourism and help further revitalize these two border cities. Both Windsor and Detroit have unique, extensive trail systems with compelling destinations. However, cross-border trail tourism institutionalization needs improvement. Tourism, greenway, and destination partners should explore creating a boundary organization to foster and market cross-border trail tourism. Recommendations from a 2024 cross-border trail tourism conference include: develop strategies for community engagement and storytelling to enhance cultural connections between regions; strengthen ties between trail groups and environmental organizations to provide trail experiences that reconnect people with the river and other natural resources; support the region’s efforts to obtain a UNESCO World Heritage Site designation for the Underground Railroad and support the Canadian federal designation of Windsor’s Ojibway National Urban Park; strengthen collaborations between tourism and cycling partners to promote and market cross-border trail tourism; institutionalize greenway assessments (every 5–10 years) to evaluate trail segment completions, gaps, potential route improvements, safety improvements, equity considerations, etc., and to keep greenways in the public consciousness; and measure and broadly communicate the economic impact of cross-border trail tourism resulting from the bridge. Full article

In the era of big data, the rapid proliferation of user-generated content enriched with geolocations offers new perspectives and datasets for probing the spatiotemporal dynamics of tourist mobility. Mining large-scale geospatial traces has become central to tourism geography: it reveals preferences for attractions and routes to enable intelligent recommendation, enhance visitor experience, and advance smart tourism, while also informing spatial planning, crowd management, and sustainable destination development. Using Mount Huangshan—a UNESCO World Cultural and Natural Heritage site—as a case study, we integrate GPS trajectories and geo-tagged photographs from 2017–2023. We apply a Density-Field Hotspot Detector (DF-HD), a Space–Time Cube (STC), and spatial gridding to analyze behavior from temporal, spatial, and fully spatiotemporal perspectives. Results show a characteristic “double-peak, double-trough” seasonal pattern in the number of GPS tracks, cumulative track length, and geo-tagged photos. Tourist behavior exhibits pronounced elevation dependence, with clear vertical differentiation. DF-HD efficiently delineates hierarchical hotspot areas and visitor interest zones, providing actionable evidence for demand-responsive crowd diversion. By integrating sequential time slices with geography in a 3D framework, the STC exposes dynamic spatiotemporal associations and evolutionary regularities in visitor flows, supporting real-time crowd diagnosis and optimized spatial resource allocation. Comparative findings further confirm that Huangshan’s seasonal intensity is significantly lower than previously reported, while the high agreement between trajectory density and gridded photos clarifies the multi-tier clustering of route popularity. These insights furnish a scientific basis for designing secondary tour loops, alleviating pressure on core areas, and charting an effective pathway toward internal structural optimization and sustainable development of the Mount Huangshan Scenic Area. Full article

As an outstanding UNESCO World Heritage Site, the Jiangnan gardens feature both exquisite and fragile components. Reduction-fired cyan square bricks, serving as crucial paving materials, are long-term exposed to natural and anthropogenic factors, making them prone to various types of surface damage and urgently requiring efficient, non-destructive detection methods to support scientific conservation. Traditional manual inspection methods suffer from low efficiency, strong subjectivity, and potential disturbance to the fragile heritage structures. This study focuses on developing an intelligent detection method based on advanced computer vision, employing the YOLOv12 object detection model to achieve non-contact, automated identification of typical tile surface damage types in the Jiangnan gardens (such as cracking, stains, water stains, and wear). A total of 691 images of reduction-fired cyan square bricks collected on-site were used as training samples. The main conclusions of this study are as follows: (1) By constructing a dataset containing multiple samples and multiple scenes of reduction-fired cyan square brick images in Jiangnan gardens, the YOLOv12 model was trained and optimized, enabling it to accurately identify subtle damage features under complex texture backgrounds. (2) Overall indicators: Through the comparison of the confusion matrices of the four key training nodes, model C (the 159th epoch, highest mAP50–95) has the most balanced overall performance in multiple categories, with an accuracy of 0.73 for cracking, 0.77 for wear, 0.60 for water stain, and 0.65 for stains, which can meet basic detection requirements. (3) Difficulty of discrimination: Compared with stains and water stains, cracking and wear are easier to distinguish. Experimental results indicate that the detection method is feasible and effective in identifying the surface damage types of reduction-fired cyan square bricks in Jiangnan gardens. This research provides a practical and efficient “surface technology” solution for the preventive protection of cultural heritage, contributing to the sustainable preservation and management of world heritage. Full article

This paper introduces a general AI text review framework for the automated analysis of textual reviews using advanced natural language processing techniques. The framework uniquely integrates sentiment analysis, topic modeling, and abstractive summarization within a modular architecture. It leverages transformer-based models (e.g., DistilBERT and FASTopic), vector databases, and caching mechanisms to ensure scalability and real-time performance. To validate the general approach, we developed a domain-specific implementation, VisitorLens AI, which performs advanced textual analysis for Google Maps reviews of the UNESCO World Heritage Site, Kotor Fortress. We demonstrated that the designed system generates structured and actionable insights for both tourists and local authorities, and increases institutional capacity to evaluate UNESCO criteria compliance. Finally, we performed both quantitative and expert evaluations, demonstrating the high performance of our framework across NLP tasks. The outputs confirm the framework’s generalizability, robustness, and practical value across domains. Full article

The Mount Wudang architectural complex, recognized as a UNESCO World Cultural Heritage site, extensively utilizes green schist as the building material in its rock temple structures. Due to prolonged exposure to weathering and moisture, effective surface protection of these stones is crucial for their preservation. Inspired by the lotus leaf, femtosecond laser fabrication of bioinspired micro/nanostructures offers a promising approach for imparting hydrophobicity to stone surfaces. However, green schist is a typical heterogeneous material primarily composed of quartz, chlorite, and muscovite, and it contains metal elements, such as Fe and Ni. These pronounced compositional differences complicate laser–material interactions, posing considerable challenges to the formation of stable and uniform micro/nanostructures. To address this issue, we performed systematic femtosecond laser scanning experiments on green schist surfaces using a 100 kHz, 40 μJ laser with a 30 μm spot diameter, fabricating microgrooves under various process conditions. Surface morphology and EDS mapping analyses were conducted to elucidate the ablation responses of quartz, chlorite, and muscovite under different groove spacings (100 μm, 80 μm, 60 μm, and 40 μm) and scan repetitions (1, 2, 4, 6, 8, 10). The results revealed distinct differences in energy absorption, material ejection, and surface reorganization among these minerals, significantly influencing the formation mechanisms of laser-induced structures. Based on optimized parameters (60 μm spacing, 2–6 passes), robust and repeatable micro/nanostructures were successfully produced, yielding superhydrophobic performance with contact angles exceeding 155°. This work offers a novel strategy for interface control in heterogeneous natural stone materials and provides a theoretical and technical foundation for the protection and functional modification of green schist in heritage conservation. Full article

Lion Grove was established in 1342 during the Yuan Dynasty and is one of the four most famous classical gardens in China. It was recognized as a UNESCO World Heritage Site in 2000. Although Lion Grove is now regarded as a private garden representing the culture of Confucian scholars, it was originally a Chan Buddhist garden during its inception in the Yuan Dynasty. This study examines the natural landscapes of Lion Grove at its inception, focusing on four main aspects: the philosophy of nature, planning intent, creators, and the philosophical ideas they represent. Key findings include the following: Firstly, Lion Grove’s attitude towards nature is rooted in China’s indigenous culture, making it both a physical expression of Chan philosophy and a space reflecting the scholar–bureaucrats’ vision of an ideal landscape. Secondly, from the perspective of landscape planning, the Lion Grove of the Yuan Dynasty placed greater emphasis on natural elements compared to its modern counterpart, with rock landscapes serving as the core element throughout the garden. Thirdly, hermitic philosophy emerged as a significant cultural theme alongside Chan Buddhism during the Yuan Dynasty. Fourthly, the landscape elements of Lion Grove symbolize Chan Buddhist wisdom and the hermit’s idealism, with poetry playing a key role in conveying these cultural ideals, preserving the site’s early philosophical significance. Full article

Typo-morphology, as interpreted by the Italian School of Planning, provides an approach to investigate the relationship between built form and socio-cultural patterns in vernacular settlements. This study examines Harran, a heritage site in southeastern Türkiye known for its distinctive conic domed dwellings, to explore how typo-morphological analysis can inform culturally sensitive design and adaptive reuse approaches. Despite its historical significance and inclusion in the UNESCO tentative list, Harran faces insufficient documentation, fragmented governance, limited conservation, and increasing pressure from urbanization and natural disasters. Using multiple sources and fieldwork, the research reconstructs the morphological evolution of Harran through diachronic maps across compound, district, and town scales. Reflections from Alberobello, Italy, i.e., the sister city of Harran and a UNESCO-listed town with a similarly unique vernacular fabric, provide a comparative view to explore different heritage management approaches. Harran evolved through informal, culture-driven growth, whereas Alberobello followed a regulated path. While Alberobello benefits from planned development and institutional preservation, Harran faces partial abandonment and neglect. By positioning typo-morphology as a conceptual planning tool, this paper emphasizes the need for context-responsive, ethically grounded, and inclusive approaches to heritage planning and conservation. It argues for planning practices that are not only technically competent but also attuned to place-based knowledge, local identities, and the long-term sustainability of living heritage. Full article

In water-scarce regions, natural ecosystems and agriculture increasingly compete for limited water resources, intensifying stress during periods of drought. To assess these competing demands, we applied a modified PT-JPL model that incorporates the thermal inertial approach as a substitute for relative humidity (RH) in estimating soil evaporation—a method that significantly outperforms the original PT-JPL formulation in Mediterranean semi-arid irrigated areas. This remote sensing framework enabled us to quantify spatial and temporal variations in water use across both natural and agricultural systems within the UNESCO World Heritage site of Doñana. Our analysis revealed an increasing evapotranspiration (ET) trend in intensified agricultural areas and rice fields surrounding the National Park (R = 0.3), contrasted by a strong negative ET trend in wetlands (R < −0.5). These opposing patterns suggest a growing diversion of water toward irrigation at the expense of natural ecosystems. The impact was especially marked during droughts, such as the 2011–2016 period, when precipitation declined by 16%. In wetlands, ET was significantly correlated with precipitation (R > 0.4), highlighting their vulnerability to reduced water inputs. These findings offer crucial insights to support sustainable water management strategies that balance agricultural productivity with the preservation of ecologically valuable systems under mounting climatic and anthropogenic pressures typical of semi-arid Mediterranean environments. Full article

In recent years, Virtual Reality (VR) has emerged as a powerful tool for disseminating Cultural Heritage (CH), often incorporating Virtual Humans (VHs) to guide users through historical recreations. The advent of Large Language Models (LLMs) now enables natural, unscripted communication with these VHs, even on limited devices. This paper details a natural interaction system for VHs within a VR application of San Cristóbal de La Laguna, a UNESCO World Heritage Site. Our system integrates Speech-to-Text, LLM-based dialogue generation, and Text-to-Speech synthesis. Adhering to user-centered design (UCD) principles, we conducted two studies: a preliminary study revealing user interest in historically adapted language, and a qualitative test that identified key user experience improvements, such as incorporating feedback mechanisms and gender selection for VHs. The project successfully developed a prioritized user experience, focusing on usability evaluation, immersion, and dialogue quality. We propose a generalist methodology and recommendations for integrating unscripted VH dialogue in VR. However, limitations include dialogue generation latency and reduced quality in non-English languages. While a formative usability test evaluated the process, the small sample size restricts broad generalizations about user behavior. Full article