Search Results (368)

The escalating impacts of climate change and anthropogenic pressures on vulnerable ecosystems demand digital tools that make advanced modeling more accessible to conservation practitioners. This study presents a TRL-4 prototype that integrates a configurable Digital Twin (DT) core with a generative AI conversational interface for conservation-oriented modeling in Doñana National Park, Spain, a UNESCO World Heritage site facing significant environmental challenges. The main contribution is not the training of specific ecological forecasting models, but the validation of an end-to-end workflow that allows users to configure, execute, inspect, and interpret a predictive system through natural language. The prototype supports the prediction of conservation-relevant ecological indicators, including Iberian lynx population dynamics and waterbird abundance, using heterogeneous environmental, climatic, hydrological, and socio-demographic datasets. The architecture connects a structured YAML configuration, heterogeneous environmental and biological datasets, automated machine learning training, database-backed traceability, dashboard visualization, and SHAP-based interpretability. Through representative executions, the prototype demonstrates that non-technical users can select target and explanatory variables, configure preprocessing options, launch model training, generate predictions, and review their outputs without directly editing configuration files or running code. Although the predictive metrics obtained in selected runs remain preliminary and should be interpreted as diagnostics rather than evidence of general forecasting skill, the results show that conversational DTs can substantially reduce technical barriers to ecological modeling. By combining generative AI, cloud infrastructure, reproducible machine learning workflows, and explainable AI, the proposed architecture provides a strong foundation for future conservation decision-support systems that augment expert judgment while preserving human oversight, transparency, and critical interpretation. Full article

Lenggong Valley is an important heritage landscape in Malaysia commonly recognized for its outstanding archaeological, cultural, and environmental significance. However, increasing land use pressure around heritage areas may affect landscape authenticity, environmental quality, and long-term conservation planning. This study aims to analyze historical land use change and predict future land use patterns within the Lenggong catchment, a sub-catchment of the Sungai Perak catchment. Land use data for 2000, 2010, and 2020 were obtained from PlanMalaysia and reclassified into five major classes: water bodies, agriculture, forest, built-up areas, and vacant land. The ANN model was calibrated using the 2000 and 2010 land use maps, while the simulated 2020 map was validated against the observed 2020 map using Kappa statistics. Following validation, the 2010–2020 transition pattern and cellular-automata neighborhood effects were used to predict land use for 2040 through two consecutive 10-year simulation iterations. The results showed that forest and agriculture remained the dominant land use classes in the catchment. However, forest decreased from 58.9% in 2000 to 54.4% in 2020, while agriculture increased from 33.3% to 35.5%. Built-up areas also increased from 1.8% to 3.5% and were predicted to reach 3.8%. The model also denoted acceptable performance, with an overall Kappa value of 0.71 and validation accuracy of 83.1%. Within the 1 km heritage buffer, built-up areas increased from 3.6% in 2000 to 10.5% in 2020, with a projected increase to 13.2%. Overall, the findings highlight increasing development pressure around the Lenggong heritage landscape and provide useful spatial evidence for heritage-sensitive planning and long-term conservation management. Full article

The Old City of Sana’a, a UNESCO World Heritage Site, remains morphologically unclassified at the urban block scale, with understanding still grounded in descriptive narrative rather than quantitative data—leaving conservation decisions without a measurable, reproducible spatial evidence base. This study introduces a numerical taxonomy of 115 historic urban blocks built from four standardized morphometric indicators—area, compactness, elongation, and rectangularity—together with axially encoded orientation, reduced through Principal Component Analysis (74.7% variance, three components) and partitioned by K-means into five morphologically distinct block types ($n=36,29,19,16,15$). Kruskal–Wallis tests confirmed significant differentiation across all types for every rankable indicator (all $p<0.001$; Dunn’s post-hoc: 28 of 50 pairwise contrasts significant). Qibla deviation—a culturally specific measure of angular proximity to Mecca, deliberately withheld from clustering—emerged as the strongest discriminator between types (${\eta }_H^2=0.714$), showing that shape and orientation alone recover a coherent pattern in which one type’s mean orientation axis falls within $4.5°$ of the Qibla axis. However, this statistical discriminator reflects the distinctiveness of a single type rather than a universal cultural organizing principle across the fabric. Types are distributed across all three historic zones rather than clustering spatially, and shape regularity shows no association with distance from the Great Mosque. Building on these signatures, a percentile-based screening instrument offers a reproducible, block-level morphometric baseline to help prioritize this UNESCO-listed site’s conservation under active conflict-related threat. Full article

Cultural heritage faces accelerating threats from armed conflict and climate-induced disasters, generating emergency scenarios in which the window for documentation may be measured in hours. Traditional high-fidelity workflows such as Terrestrial Laser Scanning and survey-grade Structure-from-Motion campaign can be operationally incompatible with these constraints due to costly hardware and specialist-team requirements. Emergency image acquisition can be undertaken with consumer-grade equipment, while the same photographic dataset can subsequently support both an SfM-MVS mesh for metric and geometric analysis and a 3D Gaussian Splatting (3DGS) representation for view-dependent visual interpretation. This paper evaluates an accessible, entirely graphical workflow for producing these complementary outputs, with particular attention paid to the 3DGS stage and without requiring programming or command-line expertise. We develop a theoretical case drawing on Brandinian restoration theory and the international conservation framework, introducing the concept of informational amnesia, the irreversible loss of a site’s documentary record, as a distinct and undertheorized category of heritage failure. We further argue that the democratization of 3DGS documentation cannot be measured by licensing cost alone: a tool distributed as open-source code but requiring command-line expertise presents an effective accessibility barrier functionally equivalent to a commercial paywall. True accessibility requires installable, graphical software operable by non-specialist practitioners in the field. We present a proof-of-concept application of this accessible pipeline, namely DJI Mini 5 Pro, RealityScan for photogrammetric reconstruction, and Lichtfeld Studio for 3DGS generation, to the Fontana d’Ercole at the Reggia di Venaria Reale (UNESCO World Heritage, Turin, Italy). Visual results show photorealistic, navigable 3DGS surrogates of architecturally complex heritage assets achievable by non-specialist operators within hours of acquisition and establish the empirical foundation for future quantitative evaluation. Full article

The Historic Centre of Córdoba (Spain), designated a Site of Cultural Interest (BIC) and partially recognised as a ‘World Heritage Site’ by UNESCO, is one of the largest in Europe and, in recent decades, has undergone profound functional, economic and social transformations, which have been accelerated by growing tourist activity. These processes have not yet been analysed systematically, despite the fact that the study of urban processes such as touristification and their implications for certain urban dynamics of gentrification is a highly topical issue. This study aims to determine the extent to which the Historic Centre of Córdoba is undergoing a significant process of touristification and its impact on depopulation, gentrification and other functional and land-use transformations. To this end, a series of demographic, socio-economic, tourism-related and property market indicators have been collected and analysed. The results indicate a recent, intense process of touristification that has exacerbated the critical situation of depopulation and residential abandonment, although no significant process of socio-demographic gentrification has been detected. It is concluded that tourism is neither the sole nor even the main cause of this trend of demographic decline and functional and urban changes; rather, there are multiple historical, socio-economic, urban planning and demographic factors that explain them. This study lays the groundwork for a broader investigation of this urban area, which is of such great significance to the city in terms of heritage, history and identity. Full article

Studying sustainability in marine and coastal tourism within national parks is essential to balance visitor use with the conservation of fragile ecosystems and biodiversity. In this context, the Galápagos Archipelago is a major coastal and marine destination in Ecuador, recognized as a UNESCO World Heritage Site. The aim of this empirical study was (i) to identify the principal motivational dimensions in sustainable coastal and marine destinations; (ii) to determine which motivations significantly predict tourist satisfaction in these contexts; and (iii) to establish which motivations influence loyalty in sustainable coastal and marine destinations. The research was conducted in situ, obtaining 407 valid questionnaires. Multiple regression analysis and exploratory factor analysis were applied. The results reveal six motivational factors: learning; heritage and nature; sun and beach; sports; authentic coastal experience; novelty; and social interaction. The motivation that most strongly predicts satisfaction is heritage and nature, followed by novelty. Likewise, the motivation that most strongly predicts loyalty is heritage and nature, with additional influence from sun and beach and sports motivations. These findings provide practical guidance for the development of sustainable destination management plans and contribute to the academic literature on sustainability, satisfaction, and loyalty in coastal and marine tourism contexts. Full article

Although prehistoric rock art shelters in remote locations require continuous environmental monitoring for preventive conservation, this need is frequently hindered by the absence of terrestrial connectivity. In this study, we present and validate a hybrid Internet of Things (IoT) monitoring architecture integrating low-power Long-Range Wide-Area Network (LoRaWAN) wireless ground-based sensors, edge computing, and dual terrestrial–satellite connectivity, designed for continuous climatic monitoring in heritage areas without terrestrial connectivity coverage. This proof of concept was conducted at the rock art shelter of Los Toros del Barranco de las Olivanas (Tormón, Teruel, Spain), a United Nations Educational, Scientific and Cultural Organization (UNESCO) World Heritage Site within the Albarracín Cultural Park (PCA), using Geostationary Earth Orbit (GEO) satellite connectivity provided by EchoStar Mobile. Laboratory and outdoor tests at the Universitat Politècnica de València (UPV) achieved a satellite data delivery rate of 98.6%, while field deployment under adverse conditions—partial vegetation and terrain obstructions, cloudy and rainy weather—yielded a delivery rate of 78.2%, with 100% delivery from sensors to the edge gateway. The system operates below 10 W, enabling autonomous solar-powered deployment. Reliability can be raised above 95% by having the system confirm that each message is received and by managing the order in which messages are sent. The architecture reduces on-site visits by an estimated 75%, significantly lowering the carbon footprint of field campaigns. The proposed system is flexible, scalable, and compatible with future Non-Terrestrial Networks (NTNs), demonstrating that a satellite IoT constitutes a technically feasible solution for continuous environmental monitoring of remote heritage sites worldwide. Full article

Abu Dhabi Sabkha, located along the southern margin of the Arabian Gulf, is among the most scientifically significant arid coastal systems on Earth. Submitted by the United Arab Emirates to the UNESCO World Heritage Tentative List in 2018 under natural heritage criterion (viii), the site is currently the only documented coastal sabkha where all four diagnostic sedimentary layers, lagoon mud, microbial mat, gypsum mud, and anhydrite nodules, co-occur within a single coastal setting, south of Al Dhabaya and Abu Al Abyadh Islands. This review evaluates Abu Dhabi Sabkha as a geological heritage system by synthesizing its formation processes, UNESCO significance, complete sabkha sequence, microbial and evaporite processes, climatic setting, environmental sensitivity, and conservation requirements. The site operates under a hyper-arid climatic regime with a documented warming trend of +0.43 °C per decade over 1981–2025 (NASA POWER MERRA-2), confirming that the evaporative processes sustaining its geological record are intensifying. Microbial mats facilitate dolomite mineralization via Extracellular Polymeric Substances at a scale unmatched elsewhere in the Arabian Gulf, while gypsum mud and anhydrite nodules record advanced supratidal evaporitic development. Comparative analysis with sabkha systems in Qatar, Kuwait, Saudi Arabia, and Oman confirms that no other regional coastal sabkha preserves equivalent stratigraphic completeness within a single, actively forming setting. The site faces mounting pressures from urban expansion, coastal reclamation, off-road vehicle movement, groundwater modification, and the increasing frequency of extreme rainfall events, all of which can permanently damage fragile surface structures and microbial systems. Sustainable conservation requires protection zoning, controlled access, multi-scale satellite and drone monitoring, groundwater tracking, and integration into coastal planning frameworks. Abu Dhabi Sabkha should be recognized not as marginal saline terrain, but as a globally important geoheritage system whose scientific value depends on the active preservation of biological, chemical, and physical processes operating together within an irreplaceable coastal setting. Full article

Lake Baikal is a UNESCO World Heritage Site and the largest freshwater reservoir on the planet. It is located in the center of Eurasia, in an industrially developing region—Eastern Siberia. Although a regulatory and legal framework exists, quantitative estimates of the pathways of pollutant transport from industrial sources to the lake water area remain insufficiently studied, particularly in the context of seasonal dynamics and the influence of developing industrial sectors. In the present work, a quantitative analysis of the direct atmospheric transport of pollutants from three groups of stationary sources (the Irkutsk agglomeration, the Republic of Buryatia, and the oil-and-gas production areas of Irkutsk Oblast) to the lake surface was carried out for the first time using the HYSPLIT model for the period 2005–2025. About 4.7 million forward trajectories were computed at three heights (250, 500, 1000 m AGL) for each group of sources. It was established that conditions favorable for the transport of impurities to the lake occur in more than half of the cases. However, the spatial distribution of the impact on the Baikal air basin is heterogeneous: the Irkutsk agglomeration accounts for 67.5% of the “hits” (the main contribution being to the air basin of the Southern Basin), the Republic of Buryatia 18.8% (to the Central Basin), and the oil-and-gas areas 19.9% (to the Northern Basin). On the basis of a multifactor analysis, a combined Potential Impact (PI) index was developed that makes it possible to rank regional sources by the degree of their impact on the lake ecosystem, taking into account the emission volume, the probability of delivery, the residence time, and the height of trajectory passage. The results form a scientific basis for optimizing the spatial placement of environmental monitoring networks and for preliminary zoning of environmental risk assessment over the Lake Baikal water area. Ultimately, this study contributes to the sustainable management of the Baikal Natural Territory by providing actionable insights for balancing regional industrial growth with the long-term ecological preservation of the planet’s largest freshwater reservoir. Full article

Microplastic contamination is an emerging global concern, but its occurrence in high-altitude protected areas has been understudied. This study systematically assessed microplastic abundance, morphology, and spatial distribution in Sagarmatha National Park (SNP), Nepal, a UNESCO World Heritage Site. Soil samples were collected from 25 sites across four land-use types, including settlement, farmland, forest, and floodplain, at two depths along the Lukla–Phortse trekking corridor during the pre-monsoon season of 2023. Samples were pretreated by density separation and Fenton’s reagent digestion, and microplastics were then detected using a YOLOv11n-seg instance segmentation model. A subset of extracted particles was chemically confirmed by optical photothermal infrared (O-PTIR) spectroscopy. Microplastics were present in all samples, with concentrations ranging from 80 to 960 particles·kg⁻¹. Fragments were the dominant morphological type, accounting for 65.7% of all particles, followed by fibers and films. Negative binomial regression revealed significant effects of land use and soil depth and their interaction on microplastic abundance. Settlement soils showed the highest concentrations with significant surface enrichment, while farmland soils showed no significant depth effect, consistent with human-dominated plastic sources and tillage-driven redistribution. Elevation was not a significant predictor of contamination. Hotspot analysis identified statistically significant clustering around Lukla and Namche, the two primary tourism hubs. The baseline established in this study provides a foundation for long-term monitoring and targeted waste management in SNP and offers insights to other protected high-altitude environments. Meanwhile, the application of deep learning and O-PTIR to balance the counting efficiency and accuracy is a novel approach that could be adopted by other researchers. Full article

The Lion Man sculpture (UNESCO World heritage), a left mammoth tusk and mammoth ivory fragments from the excavations in the Hohlenstein-Stadel cave, Lone valley, Swabian Alb, Germany, were non-invasively analysed by means of external ion beam analysis (IBA) at the microfocus beamline at the particle accelerator AGLAE. The Lion Man was reconstructed from about three hundred mammoth ivory fragments, while the tusk is a separate find, and the fragments are individual pieces that could not be placed in the Lion Man. A characteristic trace element fingerprint, based on zinc, bromine and strontium contents, was established according to previous IBA studies of Aurignacian-era mammoth ivory and allowed for a comparison of the mammoth ivory objects. The specific Hohlenstein-Stadel cave trace element fingerprint could be distinguished from that of other Aurignacian sites in Europe but closely resembles that of the contemporary ivories from the neighbouring Hohle Fels cave. Although this study highlights that the Lion Man sculpture is chemically inhomogeneous due to diagenetic alterations, the left tusk and individual ivory fragments are chemically very similar to the Lion Man. However, further analyses are required to relate them to the same animal. Secondary minerals such as black manganese oxide dendrites and iron-rich aluminosilicates could be identified on the Lion Man and the other ivory objects at the surface. While dendrites are a characteristic diagenetic feature of mammoth ivory, the origin of iron-rich aluminosilicates can be linked either to sediment traces or surface treatment and use wear of the sculpture. Iron-rich zones are identified on particular parts of the Lion Man, namely, at the snout and at the left forearm with decorative signs. The snout is also particularly enriched in carbon, whose origin still needs to be clarified. Full article

Sustainable agricultural development in natural heritage sites poses a challenge, requiring food security without compromising the conservation of ecosystems and their outstanding universal values (OUV). The Galapagos Islands, recognized as a Natural World Heritage, have problems of scarce water and arable land, compounded by anthropogenic pressures such as high population and tourism growth and dependence on food imports. The objective of this research is to evaluate the environmental impacts of implementing agricultural greenhouses in the Galapagos by applying a traditional environmental matrix alongside a UNESCO World Heritage approach, integrated with a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis, to formulate strategies for strengthening local agriculture without compromising ecosystems. This study employed a semi-quantitative methodological approach, integrating three key aspects: (i) a baseline of agricultural information and water availability on the islands; (ii) an integrated Environmental Impact Assessment (EIA) approach to greenhouse implementation; and (iii) sustainable agricultural development and environmental impact mitigation strategies. The results of the traditional EIA and the UNESCO approach through the OUV showed negative impacts classified as insignificant to moderately significant. For the evaluated design, these impacts can be managed through the active participation of academia, the community, and government entities. However, their scalability depends on a more in-depth analysis of the potential long-term risks associated with the availability of natural resources, microplastic pollution, and the use of agrochemicals. Among the proposed strategies, the importance of monitoring water and soil quality and of agricultural and environmental education campaigns in the community was highlighted. This study presents agricultural greenhouses as well-known alternatives for food self-sufficiency, adapted to the realities of the island territory and the objectives of ecosystem conservation. The proposed methodological approach can be applied in protected areas to promote conservation and sustainable agricultural production. Full article

Archaeological feature detection at complex, mixed-environment sites requires accurate, efficient methods for identifying subtle morphological signatures. This study presents a semi-automated remote sensing pipeline for the detection and delineation of archaeological earthworks at Cahokia Mounds (Illinois, USA), a major Mississippian urban center and UNESCO World Heritage Site. Three LiDAR datasets, two collected via UAV-mounted sensors and one from a piloted aircraft survey, were processed into Digital Terrain Models and transformed into Local Relief Models (LRM). K-means clustering was applied to segment the LRMs into feature classes, followed by contour bounding using the OpenCV library to outline mounds and borrow pits. Additionally, SAR-derived Local Incidence Angle (LIA) rasters from PALSAR-3 and Sentinel-1 were processed through angular deviation mapping to identify slope anomalies associated with archaeological features. Results across all five datasets demonstrate the complementary strengths of LiDAR and SAR: LiDAR excels at resolving elevation-defined features such as mound footprints, while LIA captures directional slope behavior that highlights mound edges, borrow pit rims, and linear features such as causeways. Comparative analysis of LiDAR acquisition frequencies reveals minimal differences in archaeological feature recovery between pulse settings, suggesting that sensor platform choice matters more than power-density tradeoffs for this application. Despite the need for human review to filter modern disturbances and natural false positives, the integrated workflow meaningfully accelerates prospection and reduces interpretive subjectivity. The methods are scalable, site-invariant, and work with open-access data, making them applicable to archaeological landscapes worldwide. Full article

Abandoned pastoral settlements can create disturbed and nutrient-enriched microsites that favor the dominance of native expansive plant species. Yet limited empirical evidence exists on how abandoned Maasai bomas influence the spread of Urtica massaica and associated plant community changes in the Ngorongoro Conservation Area, a UNESCO World Heritage Site in Tanzania. This study assessed the influence of abandoned bomas on plant species abundance, richness, diversity, soil seedbank status, and the spatial distribution of U. massaica. A multistage stratified random sampling design was used, whereby Ngorongoro and Nainokanoka zones were selected from the designated management zones of the conservation area. Vegetation data, soil samples, and geographic coordinates of abandoned bomas were collected from abandoned boma sites and adjacent control sites. Plant species abundance, richness, and diversity were compared between abandoned bomas and control sites after testing data normality using the Shapiro–Wilk test. Independent-sample t-tests were used for normally distributed data, while Wilcoxon rank-sum tests were used for non-normally distributed data. Spatial distribution of U. massaica was assessed using GIS-based heatmap and kernel density estimation. Results showed that native plant species abundance was significantly higher in control sites than in abandoned bomas. Plant species richness and diversity also differed significantly between sites in both Ngorongoro and Nainokanoka, with control sites supporting higher richness and diversity. However, soil seedbank results showed no significant differences in species richness and diversity between soils collected from abandoned bomas and control sites, although slightly higher values were observed in control soils. Spatial analysis revealed that U. massaica hotspots were concentrated mainly in highland areas with high densities of abandoned bomas. These findings suggest that abandoned bomas may act as focal points for U. massaica establishment and dominance, reducing aboveground plant diversity while retaining some potential for natural regeneration through the soil seedbank. Management interventions should prioritize abandoned bomas as key sites for controlling U. massaica spread and supporting vegetation recovery in the Ngorongoro Conservation Area. Full article

Ecological security is fundamental to achieving the United Nations Sustainable Development Goals (SDGs) and maintaining ecosystem stability in ecologically sensitive regions. Mountainous protected areas, where ecological fragility and human pressure coexist, require dynamic evaluation frameworks that go beyond static pattern description. This study proposes an extended SPMOR (State–Pressure–Modelling–Optimization–Response) framework to assess the spatiotemporal evolution of ecological security in the Fanjingshan Mountain Region, a UNESCO World Heritage Site in Southwest China. Multi-source environmental and socio-economic datasets were standardized, objectively weighted using the CRITIC method, and integrated to construct a grid-based Ecological Security Index (ESI) for 2002, 2007, 2012, 2017, and 2022. Spatial autocorrelation analysis with global and local Moran’s I was employed to identify clustering patterns and temporal shifts. Results show that the average ESI increased from 0.4983 in 2002 to a peak of 0.5238 in 2012, before declining to 0.4945 in 2022. Global Moran’s I remained consistently high, ranging from 0.6516 to 0.6862, indicating persistent spatial clustering of ecological security. Spatially, the region exhibited a stable core–periphery structure, with high-security zones concentrated in the core reserve and low-security clusters distributed along human activity corridors. These findings suggest the coexistence of ecological restoration effects and renewed development pressures in mountainous protected areas. The proposed SPMOR framework provides a structured and potentially applicable approach for ecological security evaluation and offers practical insights for sustainable management of mountainous protected regions. Full article