Heritage Science

Cultural diversity conservation is crucial for global sustainability, especially in rural areas facing challenges such as shrinking settlements and integration into nature reserves. However, existing research lacks discussion on how to establish cultural diversity conservation areas while considering the trade-offs with nature reserves. To address this gap, we employ the SCP method to develop a planning framework that balances ecosystem service benefits for nature conservation with the effectiveness of cultural diversity conservation, applied in rural Southwest China. Our findings indicate that overly ambitious or conservative conservation goals hinder cultural diversity conservation, whereas a value-based scenario enhances conservation effectiveness and reduces conflicts with rural natural ecosystems. We propose rural cultural diversity conservation networks comprising 9 cultural diversity areas, 33 core conservation areas, and 233 subcatchments. Compared with existing systems, our new conservation networks improve effectiveness by 29.62% and reduce the impact on the ecosystem service benefits of ecological conservation by 23.65%. These findings provide guidance for global cultural diversity conservation planning and sustainable development across various regions and scales.

This study addresses the issue of the existence of a considerable number of ancient ceramic fragments within the gene pool of ancient ceramics in Jingdezhen, as well as the limited efficacy of manual restoration techniques. To this end, an ancient ceramic restoration method based on the stitching of ancient ceramic textures through image processing is proposed. By employing the optimal single responsiveness matrix and state transfer equation, coupled with a random sampling strategy to ascertain the precise matching points and a consistency checking mechanism to preclude erroneous matching, the optimal single responsiveness matrix is devised to meticulously transform and stitch ancient ceramic textures. The dynamic programming idea is employed to identify the optimal stitching path, thereby enhancing the quality of the stitching and facilitating the precise, seamless, and natural integration of the ancient ceramic texture. The average peak signal-to-noise ratio of the stitched image of ancient ceramics is 58.7554, and the mean square error is 0.0866, which demonstrates the efficacy of image processing technology in the restoration of ancient ceramics and facilitates the intelligent advancement of cultural protection.

The eco-industry is an effective path to achieve ecological and economic sustainable development. However, the role played by Rosa roxburghii Tratt (R. roxburghii) industry in karst desertification control still needs to be determined. In this study, we predict the suitability probability and driving variables of R. roxburghii's distribution through a Maximum Entropy model, combining climate, population, vegetation, and soil data, and conducted a sample plot survey in a high-suitability area to explore the role of the R. roxburghii industry in ecological services by using adjacent non-R. roxburghii patches as comparisons. The results showed that South China Karst, with its simultaneous rain and heat climate characteristics, was the most suitable area for the industrialization of R. roxburghii in the world. In South China Karst, the area of no, low, medium, and high suitability zones for R. roxburghii was 4.2 × 10⁵, 6.12 × 10⁵, 4.64 × 10⁵, and 4.42 × 10⁵ km², respectively, and population distribution was the dominant variable controlling its distribution. The net primary productivity, soil conservation, water conservation, mean species abundance, and aboveground biomass of the R. roxburghii monoculture plot in the high-suitability area were significantly lower than those of adjacent non-R. roxburghii lands and forest patches. Furthermore, the monoculture had higher trade-offs between provision, regulation, and support service. This study found that the monoculture of R. roxburghii industry, dominated by human activities, failed to improve ecological services and exacerbated the trade-offs between services. Therefore, future karst desertification control still needs to follow the agroforestry development path.

Ancient murals, invaluable cultural artifacts, frequently suffer damage from environmental and human factors, necessitating effective restoration techniques. Traditional methods, which rely on manual skills, are time-consuming and often inconsistent. This study introduces an innovative mural restoration approach using a generative adversarial network (GAN) within a UNet architecture. The generator integrates Transformer and convolutional neural network (CNN) components, effectively capturing and reconstructing complex mural features. This work's novelty lies in integrating the Group-wise Multi-scale Self-Attention (GMSA), an Encoder-Decoder Feature Interaction (EDFI) module, and a Local Feature Enhancement Block (LFEB). These components allow the model to better capture, reconstruct, and enhance mural features, leading to a significant improvement over traditional restoration methods. Tested on a dataset of Tang Dynasty murals, the method demonstrated superior performance in PSNR, SSIM, and LPIPS metrics compared to seven other techniques. Ablation studies confirmed the effectiveness of the heterogeneous network design and the critical contributions of the GMSA, EDFI, and LFEB modules. Practical restoration experiments showed the method's ability to handle various types of mural damage, providing seamless and visually authentic restorations. This novel approach offers a promising solution for the digital preservation and restoration of cultural heritage murals, with potential applications in practical restoration projects.

Under the background of the transformation of resource-based cities, heritage as the symbolic cultural representation plays a synergistic role in revitalizing urban vibrancy. A majority of contemporary research focuses on specific heritage restoration and renovation. However, scant literature has been concerned with an integrated heritage corridor upgrading framework from the spatial quality perspective, which has limited effects on promoting urban socio-cultural development. This research aims to evaluate the heritage corridor through the GIS-based environmental spatial model (ESM) with multi-source data and verification through AI-based image semantic segmentation analysis, cultivating suggestions for heritage restoration and management to revitalize the holistic urban–rural areas. The research takes a resource-based city, Fengfeng Mining District (FMD) in Handan, China, as a research case. The research found heterogeneity of the heritage evaluation results and their geographical distribution, and image-based spatial quality verification evidenced the suitability and reliability of ESM for heritage assessment. This research proposes a quantitative and holistic evaluation framework for assessing and improving heritage corridors. The restoration and optimization of heritage corridors should combine a comprehensive, precise, and people-oriented spatial quality assessment, and the GIS-based ESM analysis method could be an effective decision-making support system.

In order to protect the precious cultural heritage of the pagoda in the mountainous area from the damage caused by falling rocks, we provide targeted and effective research support and protection strategy basis. ABAQUS finite element analysis software is used to accurately simulate and analyze the response of the pagoda under the impact load of falling rocks. Firstly, the geometric modeling of the tower structure is carried out in a meticulous manner to ensure that the model accurately reflects the real shape and structural characteristics of the tower, and the material properties are assigned to it rigorously and accurately, so as to construct a finite element model that is highly adapted to the actual situation. Subsequently, the impacts of falling rocks on the pagoda under different working conditions, such as different velocities, radii, impact angles and impact heights, are comprehensively and systematically simulated to assess the structural safety and stability of the pagoda from all angles. This paper clearly reveals that the velocity, radius, impact angle and impact height of falling stones are the core key position in the structural safety assessment of the pagoda, and they are the decisive factors affecting the structural safety of the pagoda. These findings not only deepen the scientific knowledge of the response mechanism of the pagoda under the impact of falling rocks, but also provide a solid theoretical foundation and a clear direction for the subsequent development of accurate and efficient protection measures against falling rocks.

Forty-six ceramic shards from the Early Bronze Age (EBA) archaeological site of Tappeh Gabri (the archaeological site 013), dated back to the latter half of the third millennium BCE and located at the Varzaneh Plain, central Iran, were studied using micro energy dispersive X-ray fluorescence (µ-EDXRF) and petrographic analysis. The precision and accuracy of quantitative data obtained by µ-EDXRF were tested using a series of geological certified reference materials (CRM). The expanded uncertainty and the Mantel test on data obtained by µ-EDXRF showed accurate and precise quantitative µ-EDXRF estimation of elements present in the CRMs above their quantification limit. We show that the majority of the ceramics at the Varzaneh Plain is most probably local product. Discussions prompted collecting further compositional data and performing petrographic investigation from the ceramic shards from southern and south-western Iran in order to shed light on the origin of the ceramic shards excavated at the Varzaneh Plain.

As one of the pioneering nations to heed the Food and Agriculture Organization (FOA) initiative, China has implemented a comprehensive evaluation and protection framework for China’s Nationally Important Agricultural Heritage Systems (CNIAHS). This research concentrated on 188 CNIAHS sites, utilizing methodologies including spatial information entropy, kernel density estimation and hotspot analysis to scrutinize the spatial configurations and evolutionary trajectories of CNIAHS throughout six historical epochs; combined with the history of agriculture in different periods, the laws of the formation of CNIAHS spatial distribution are discovered, and a foundation for the construction of CNIAHS protection system under the background of national spatial planning are provided. The results disclose: (1) CNIAHS manifests a clustered spatial distribution, predominantly situated in the southeastern sector of China’s Yangtze River Basin, with Jiangsu, Zhejiang, Fujian, and Jiangxi provinces emerging as significant hotspot areas; (2) concerning spatial pattern evolution, heritage sites experienced a phased transitional process, migrating from western frontier areas to the central Yellow River Basin, subsequently concentrating in the southeastern Yangtze River Basin, and then redistributing back to frontier regions. This progression has cumulatively formed a spatial pattern mainly concentrated in southeastern China; (3) pertaining to typological patterns, high-value crop and spice systems exhibit a clustered spatial distribution, whereas other types display uniform or dispersed configurations; and (4) the complexity of spatial patterns in various regions increased over different periods, with the number of heritage sites demonstrating cumulative characteristics. The spatial patterns indicated weakly correlated transitional shifts, signifying a non-linear progression in the spatial patterns of CNIAHS. (5) The subsequent excavation of CNIAHS should fan out from point to area to promote the exploration of various types of CNIAHS in northeast and southwest China; and the excavation of marine heritage in the southeast China. These insights provide substantial references for the future exploration and preservation of CNIAHS.

As a vital carrier of traditional culture, Intangible Cultural Heritage (ICH) not only preserves historical value but also fosters cultural identity and confidence. This study utilizes explainable machine learning and coupled coordination models to analyze the spatial distribution and formation mechanisms of ICH resources in the Jiangsu-Zhejiang-Shanghai (Jiang-Zhe-Hu). The results indicate that (1) ICH resources in the Jiang-Zhe-Hu exhibit a clustered distribution pattern characterized by “three primary cores and two secondary cores.” The primary core areas are Shanghai, Hangzhou, and Suzhou, while the secondary core areas are Yangzhou and Nanjing. (2) Population, number of religious places, and GDP have a significant positive impact on the distribution of ICH in the Jiang-Zhe-Hu. NDVI and road mileage have relatively minor effects on ICH distribution. (3) In terms of ICH resources, Zhejiang Province overall has a higher level than Jiangsu Province, with Lishui having the highest evaluation value and the most abundant resources. Regarding the level of tourism industry development, Shanghai has the highest comprehensive evaluation value, followed by Suzhou, Nanjing, Hangzhou, Wuxi, and Changzhou, all of which have relatively high levels of tourism development. (4) According to the coupled coordination model analysis, Shanghai demonstrates the best coupling degree between ICH resources and the tourism industry, achieving a good coordination level. In Jiangsu Province, the integration of ICH resources and the tourism industry is relatively better in the southern (e.g., Nanjing, Suzhou), but there are still imbalances in development in the northern. Zhejiang Province has an overall higher degree of integration between ICH and the tourism industry compared to Jiangsu, with more balanced development. However, there is still room for improvement in the deep integration of ICH resources with the tourism industry.

Cultural memes, which have the same heritability and variability as particulate biological genes, provide culture units that can be shared and transmitted across different periods, allowing cultural computing to be performed in a fine-grained manner. This paper extracts regional architectural cultural memes from the basic information of Harbin city’s modern architectural heritage and constructs an urban historical architectural cultural meme matrix. By using the social network calculation method, we analyse representative architectural memes, such as material memes, structural system memes, and architectural style memes, which represent the evolution of urban architectural culture, construct a network of urban architectural cultural memes, and explore their clustering characteristics and centrality characteristics. The research shows that Harbin’s urban architectural culture in the development and evolution of the process has a holistic cultural characterisation beyond architectural meme monoliths and architectural memeplexes and has formed a highly coupled and complex cultural system. The clustering coefficients of the architectural meme networks in the cultural pattern of urban architecture in different periods are all between 0.575 and 0.676 (more than 0.5), suggesting that the cultural similarities within the clusters of architectural heritages in the city have the characteristics of continuous heredity. The methodology and conclusions of this study can provide a methodological reference for the design of contemporary urban architecture cultural patterns and provide data supporting the development and improvement of urban historic district conservation planning.

The Qinghai-Tibetan Plateau (QTP) is vital for stabilizing climate in East and South Asia and its glaciers and snow meltwater nourish key continental rivers. The region’s forests are not only ecologically essential but also fragile. The practices of local herdsmen, shaped by long-standing cultural traditions, significantly affect forest dynamics. This study examines the vital role that Tibetan Buddhist monasteries play in forest conservation on the QTP. We utilize data sources including extensive field surveys and geospatial data to assess the impact of monastery and village locations on forest conditions. Spatial analysis techniques, such as Moran’s I and Ripley’s K function, reveal significant clustering of monasteries and villages, which are closely linked with forest conditions. Our findings indicate that forests near Buddhist monasteries have higher aboveground biomass and better quality compared to other areas, suggesting that their presence supports better forest conservation practices. This positive influence is attributed to the cultural significance of these sites and the environmental consciousness promoted by Buddhist cultural teachings. Additionally, this study employs analytical methods including Random Forest and Partial Least Squares Structural Equation Modeling (PLS-SEM) to explore the drivers of forest quality. Initial aboveground biomass, climatic factors, and monastery density emerge as key influences on forest quality within monastery buffer zones, indicating that cultural factors are crucial in shaping forest landscapes.

The virtual restoration of historic murals holds immense importance in the realm of cultural heritage preservation. Currently, there are three primary technical issues. First and foremost, it is imperative to delineate the precise location where the mural necessitates restoration. Second, the original color of the mural has changed over time, resulting in a difference from its current appearance. Then, while the method utilizing convolutional neural networks is effective in restoring small defaced areas of murals, its effectiveness significantly diminishes when applied to larger areas. The primary objectives of this paper are as follows: (1) To determine the large and small areas to be restored, the authors employ hyperspectral super-pixel segmentation and support vector machine-Markov random field (SVM-MRF) classification. (2) The authors transform the hyperspectral mural images into more realistic and accurate red-green-blue (RGB) images using the Commission Internationale de l’Eclairage (CIE) standard colorimetric system. (3) The authors restored the images respectively using convolutional neural network and matching image block-based approaches depending on the size of the areas to be mended. The proposed method has enhanced the image quality assessment (IQA) in terms of both color quality and restoration effects. In contrast to the pseudo-color fusion method, the color optimization algorithm described in this research enhances the multi-scale image quality (MUSIQ) by 8.42%. The suggested technique enhances MUSIQ by 2.41% when compared to the convolutional neural network-based image inpainting algorithm.

The excavation of ivory and other artifacts from the Sanxingdui Ruins holds profound research significance in tracing of both the ancient Shu and Chinese civilizations. After being unearthed, a large quantity of ivory encountered issues such as dehydration, pulverization, and cracking, resulting from poor preservation conditions. To establish effective long-term conservation strategies for the excavated ivory, this paper takes the dentin of excavated ivory from the No.7 Sacrificial Pit (K7) at the Sanxingdui Ruins as the research object, focusing on the primary correlation between its microscopic porous structure and moisture states. The results show that the organic collagen protein component of the excavated ivory has already undergone basically diagenetic degradation. The remaining main mineral phases are hydroxyapatite and carbonated hydroxyapatite, exhibiting a mixed crystal structure with mainly needle-like and secondary lamellar. The porosity of the excavated ivory, as measured by dry and wet methods, is approximately 62 and 60%, respectively. The pore size distributions are primarily concentrated in the ranges of 5–100 nm for the dry method and 10–200 nm for the wet method. These diverse and heterogeneous pore structures store approximately 35–38% of water as free water and adsorbed water. Free water is primarily found in dentinal tubules, interlayer gaps and cracks, providing volume support and stabilizing equilibrium with the external environment. Adsorbed water is mainly present in the pores (d < 100 nm), providing support function through intermolecular forces and hydrogen bonding. The deterioration of excavated ivory is positively correlated with the loss of moisture. This is due to irreversible structural damage caused by the loss of water’s supportive, bonding, and stabilizing effects. Among them, the rapid migration and evaporation of free water affect the expansion of cracks and the formation of new fissures. This study offer a robust scientific basis and valuable insights for the subsequent conservation of excavated ivory, and also provide guidance for the research of other fragile bone and horn relics.

Ruijin, the birthplace of China’s first red regime, has always been the core of the central revolutionary base. Integrating the design of cultural heritage sites with universal signage systems is an effective way to protect and pass on red cultural heritage while promoting the continued dissemination of the national image. In heritage site tourism, the signage system is crucial in guiding, indicating, and explaining, serving as a critical component of essential public infrastructure. Given Ruijin’s rich and historic red cultural resources, the design of the signage system must consider the diverse needs of visitors from different nationalities, cultural backgrounds, and age groups. This study adopts a universal design perspective, using the red cultural heritage of the Ruijin Soviet period as a case study. It constructs universal metadata from three key aspects: Cultural Type, Data Attribute, and Data Type. These elements are then visually represented through digital technology. The study also incorporates theoretical support from semiotics, Gestalt psychology, cognitive psychology, and semantics. Through surveys, in-depth interviews, and a “structure-humanity” composite evaluation method, we thoroughly explores the relationships between perception, comprehensibility, visual cognition, and the design of universal signage systems. Additionally, the study analyzes the key factors affecting the universality of the signage system. The results indicate that visual cognition positively impacts the design of universal signage systems. Key factors influencing the universality of signage systems include symbolic element modeling, the familiarity of graphics, the semantic distance of graphics, and the rationality of graphic usage. These findings offer a strategy for creating a universal signage system guided by the heritage routes and based on the dimensions of perception, comprehensibility, and visual cognition. It provides new methods and perspectives for cultural education and heritage preservation in Ruijin and other red cultural heritage sites.

Murals carry cultural significance and historical information, and are an important channel for understanding ancient social norms, artistic styles, and religious beliefs. At present, the digitization of murals is an important technical means for the protection of cultural heritage. Orthogonal images of murals play a vital role in high-precision recording, preservation, academic research, educational expansion, mural protection, digital exhibition and dissemination. At present, orthogonal images of murals are mostly realized by plane projection, but this method is not suitable for making orthogonal images of arched and dome-shaped murals. To address this problem, this paper proposes a method for generating orthogonal expansion images of arched and dome-shaped murals. This method combines a three-dimensional virtual space simulation model with an RTT virtual camera and adopts a spatial reference orthogonal ray scanning model. First, the detailed three-dimensional color model is fitted to the geometric reference of cylindrical and spherical objects to determine its parameters. Next, for the cylindrical murals on the arch, the orientation of the model is initialized using quaternions, and the viewport matrix is adjusted to obtain the required resolution. Then, the RTT camera is used to perform line orthogonal projection in the viewport, and the fringe projection image is generated by rotating around the cylinder axis according to the inversely calculated rotation angle. For the murals on the dome ceiling, this method is used to segment them according to a certain longitude, and the circumscribed cylinder of the fitted sphere is rotated to perform cylindrical orthogonal line scanning in the segmented area. These individual orthogonal line scan images are carefully spliced together to form a complete orthogonal unfolded image. Finally, a fringe projection image is generated with the central meridian of the unfolded part as the center line, and the fringe projection images are spliced together to obtain the final orthogonal unfolded image. Experiments show that compared with existing methods, this method can generate two-dimensional orthogonal unfolded images with high texture fidelity, minimal texture deformation, and uniform deformation distribution. This study provides a novel perspective on the orthogonal unfolding of quasi-cylindrical and quasi-spherical painted objects, and provides an accurate and diverse data basis for the digitization of murals.

Thangka image captioning aims to automatically generate accurate and complete sentences that describe the main content of Thangka images. However, existing methods fall short in capturing the features of the core deity regions and the surrounding background details of Thangka images, and they significantly lack an understanding of local actions and interactions within the images. To address these issues, this paper proposes a Thangka image captioning model based on Salient Attention and Local Interaction Aggregator (SALIA). The model is designed with a Dual-Branch Salient Attention Module (DBSA) to accurately capture the expressions, decorations of the deity, and descriptive background elements, and it introduces a Local Interaction Aggregator (LIA) to achieve detailed analysis of the characters’ actions, facial expressions, and the complex interactions with surrounding elements in Thangka images. Experimental results show that SALIA outperforms other state-of-the-art methods in both qualitative and quantitative evaluations of Thangka image captioning, achieving BLEU4: 94.0%, ROUGE_L: 95.0%, and CIDEr: 909.8% on the D-Thangka dataset, and BLEU4: 22.2% and ROUGE_L: 47.2% on the Flickr8k dataset.

Our objective, as part of the planned conservation work, was to identify culturable fungi related to the formation of various deterioration symptoms occurring on the Spectatius family marble tomb, the largest monument of the Roman Necropolis in Šempeter, Slovenia. By using fluorescent microscopy, microbial cultivation methods and standard DNA sequencing we were able to identify 21 fungal isolates, 16 being filamentous moulds, primarily dominated by xerophilic Cladosporium spp. (mainly Cladosporium langeronii RN 28) and some Alternaria species; and 5 yeast or yeast like species namely Torula fici, Filobasidium wieringae, Rhodotorula babjevae and Blastobotrys peoriensis. Locations on the tomb, which are well sheltered against rainfall, contained higher concentrations of xerophilic fungi to those, which are completely or partially exposed to rain. The black fungal species of Cladosporium spp. and Alternaria spp. formed the bulk of melanized-greyish patina present on the bottom reliefs and within the cracks of the inner dome of the Spectacius tomb. Moreover, the red coloured yeast R. babjevae caused a thick red pigmentation right under the top roof of the monument’s left side. The obtained results indicated that not only moulds but also yeasts can cause significant biodeterioration. Lastly we isolated indigenous mycoparasitic strains of F. wieringae (RN 37 and RN 38) that could potentially be used in biocontrol formulations applicable in situ for the sustainable preservation of the Spectatius family tomb monument.

Point cloud completion technology is used to address incomplete three-dimensional point cloud data, predicting and reconstructing the original shape and details to achieve virtual restoration. While existing learning-based methods have made significant progress in point cloud completion, they still face challenges when dealing with noise and invisible data. To address these issues, this paper proposes a multi-layer upsampling network based on a graph attention mechanism, called GANet. GANet consists of three main components: (1) feature extraction; (2) seed point generation; (3) State Space Model-based Point Cloud Upsampling Layer. GANet demonstrates exceptional robustness in handling noise and invisible data. To validate the effectiveness of GANet, we applied it to Terracotta Warrior data. The Terracotta Warriors, as important cultural heritage, present a challenging test case due to damage and missing parts caused by prolonged burial and environmental factors. We trained and tested GANet on both the PCN dataset and Terracotta Warrior data, comparing it with several recent learning-based methods. Experimental results show that GANet can effectively reconstruct missing or damaged parts of 3D point clouds, providing more detailed and structurally accurate completion results. These completion models not only validate GANet’s effectiveness but also offer valuable references for cultural heritage restoration work.

Historic timber lounge bridges are precious architectural heritages. But they are sensitive to fire. In order to obtain an adequate understanding of the fire vulnerability of historical timber lounge bridges for their better conservation, this paper proposes a framework based on experiment and computational fluid dynamics (CFD) analysis. Dengyun Bridge, a typical timber lounge bridge with cantilever beams, was chosen to carry out study on the fire development process and fire risk assessment. Firstly, the structural form and fire loads of the bridge were obtained by conducting on-site survey, and then a complex pyrolysis model of ancient wood was established in the Fire Dynamic Simulator (FDS) according to the pyrolysis characteristic of the ancient wood replaced from the bridge during its renovation. Secondly, the fire development process in Dengyun Bridge was simulated and four crucial fire events were defined. Finally, the comprehensive fire risk index for the Dengyun Bridge under those fire events was calculated by applying the Analytic hierarchy process (AHP) and Entropy method, and some mitigation and prevention strategies were discussed accordingly. The obtained results indicated that the flashover point was a boundary of fire development. After the flashover, the comprehensive fire risk index increased and reached its peak value rapidly. In the 1084 s (peak heat release rate), the comprehensive fire risk index was about 1.7 times of that in 847 s (flashover point). Mitigation strategies, such as the flame-retardant treatment and water-mist extinguishing system, were proved to be effective to retard the developed fire. The results of this study can provide a scientific basis for fire risk assessment and conservation of inherited timber lounge bridges.

Due multiple influences, such as Tusi, Tunpu, and minority culture, Tunpu military towns in Southwest China have unique historical and cultural heritage. At present, the ancient Tunpu military towns are not widely known internationally. In order to understand the layout characteristics of Tunpu military buildings in southwest China since the Ming Dynasty, the spatial distribution and military attributes of Qingyan Ancient Town, a typical military town of Tunpu culture, are studied by using Thiessen polygons, fractal theories, and complex network methods. The findings indicate that architectural spaces in the six districts have high spatial self-similarity and low spatial complexity and are distributed in clusters primarily impacted by natural factors and supplemented by humanistic factors. The architectural space networks of the six districts have high stability, low vulnerability, poor balance, and high connectivity. They reflect its interior architectural layout, which is based on close cooperation between villagers and military, taking into account trade and cultural life. Differences in the functionality of buildings lead to differences in the connectivity of the spatial network of buildings; the hierarchical, graded, and differentiated characteristics of architectural spatial network connectivity are influenced by both nature and society. Non-military functions all serve or are subordinate to military functions. The spatial network connectivity of traditional settlement architecture reflects the interaction between nature and society. By studying a Tunpu military ancient town in the southwest, we can better understand the historical military activities, cultural connotations, social changes, and historical background of traditional settlements. The historical planning of the defence of traditional settlements both contributes to its cultural heritage and as an important reference and inspiration for modern planning and management.

Ecological assets (EA) are fundamental to the supply of ecological products (EP). They underpin the provision of ecological functions by ecosystems, their existence, and health. However, a comprehensive assessment of EA and the supply of EP remains lacking. This study employs the Systematic Literature Review (SLR) method and identifies 215 relevant articles from the Scopus database. The study: (1) Analyzes selected literature by publication years, research themes, geographical distribution, affiliations, and stages. (2) Summarizes key advances and significant achievements in domestic and international research. (3) Formulates six critical scientific questions and provides recommendations based on the current status and characteristics of EA and the supply of EP in Karst World Heritage (WH) Sites. This study furnishes research insights for practitioners and policymakers in the field, contributing to the sustainable development of ecosystems in Karst WH Sites.

The preservation and advancement of cultural heritage continue to present significant challenges, arising from conflicting objectives, concepts, methodologies, and limited resources. Image perception not only serves as an observational tool for cultural heritage but also as a research method to uncover deeper meanings and implications. To explore the complex dynamics of cultural heritage and address the risks of its deterioration, this study employed virtual engine software (Unity 2019) to create digital landscapes for immersive exploration. An image perception evaluation framework was established through field surveys and behavioral synthesis experiments across five key areas, including ancient tree ecosystems and architectural sites. Our findings revealed that participants showed the greatest interest in the ancient tree ecological area, indicating a strong attachment to historical continuity and natural progression. Heart rate variability (HRV) analysis further demonstrated that participants experienced positive emotional responses, suggesting that well-designed cultural landscapes can enhance mental well-being and uplift mood. Additionally, participants expressed a strong willingness to discuss the ancient tree eco-region, with image perception playing a crucial role in motivating information sharing and driving conservation efforts. This study introduces an innovative model—Design Practice, Immersive Experience, and Image Perception Evaluation—which offers a new perspective for the preservation and enhancement of cultural heritage sites.