Search Results (48)

Golija Mountain, located in the southwestern part of Serbia, has been under protection as the Golija Nature Park since 2001. It is protected to preserve its forest ecosystems, diverse landscapes of exceptional beauty, and cultural heritage. Due to its natural and cultural values, the Golija Nature Park was declared a UNESCO Biosphere Reserve under the name “Golija-Studenica” in the same year. In addition to its ecosystem values, due to the complex geological and geomorphological past, there are a significant number of geodiversity objects on the mountains in the park. Research on these geodiversity objects has been the focus of the park’s administration in recent years. This protected natural area faces several challenges, with the sustainable development of tourism being one of the most significant. The construction of a large ski center is planned, which has already triggered the spontaneous development of unregulated weekend settlements near the mountain’s highest peaks. Geotourism provides an alternative to this development. Geosites, as the most representative landscapes and landforms, serve as key attractions for geotourists. The main goal of this work was to find appropriate geoactivities related to geosites that will enhance the geotourism offer, all with the aim of achieving the sustainable development of the Golija Nature Park. Full article

Efficient supply chain management (SCM) is essential for enterprises seeking to enhance operational efficiency, reduce costs, and mitigate risks while ensuring product quality and customer satisfaction. Addressing quality concerns within the supply chain proactively helps minimize rework, recalls, and returns, leading to significant cost savings and improved profitability. This study presents a machine learning (ML)-driven predictive analytics framework designed to forecast defect rates and optimize quality control processes. The research leverages a dataset sourced from a real-world fashion and beauty startup, hosted in a public repository. The framework employs advanced ML algorithms, including extreme gradient boosting (XGBoost), support vector machines (SVMs), and random forests (RFs), to accurately predict defect rates and derive actionable insights for supply chain optimization. Results demonstrate the effectiveness of predictive analytics in improving supply chain quality management, enabling enterprises to proactively reduce defect rates, minimize costs, and optimize return on investment (ROI). The proposed framework is designed to be scalable and transferable, ensuring adaptability across various industries, including fashion, e-commerce, and manufacturing. These findings underscore the economic and operational benefits of integrating machine learning into supply chain quality control, offering a data-driven, proactive approach to achieving high-efficiency, high-quality supply chain operations. Full article

The classification of agricultural products is of great importance for quality control, optimized marketing, efficient logistics, research progress, consumer satisfaction, and sustainability. Dragon fruit has many varieties that need to be identified quickly and accurately for packaging and marketing. Considering the increasing demand for dragon fruit, it is obvious that an automated classification system has significant commercial and scientific value by increasing sorting efficiency and reducing manual labor costs. This study aimed to classify four commonly produced dragon fruit varieties according to their color, mechanical, and physical properties using machine learning models. Data were collected from 224 dragon fruits (53 American beauty, 57 Dark star, 65 Vietnamese white, and 49 Pepino dulce variety). Classification was performed using measurable physical and mechanical properties obtained through digital image processing, colorimetry, electronic weighing, and stress–strain testing. These methods provided objective and reproducible data collection for the models. Three models—Random Forest, Gradient Boosting, and Support Vector Classification—were implemented and their performances were evaluated using accuracy, precision, recall, Matthews’s correlation coefficient, Cohen’s Kappa, and F1-Score. The Random Forest model showed the highest performance in all metrics, achieving 98.66% accuracy, while the Support Vector Classification model had the lowest success. The superior performance of the Random Forest model can be attributed to its ability to handle complex, nonlinear relationships among multiple variables while preventing overfitting through ensemble learning. However, potential challenges in dragon fruit classification include variations due to environmental factors, genetic variation, and hybridization. Future research can focus on incorporating biochemical or genetic markers and improving real-time classification for industrial applications. Full article

In forest monitoring networks, the computational capabilities of sensors cannot meet the latency requirements for complex tasks, and the limited battery capacity of these sensors hinders the long-term execution of monitoring tasks. Mobile edge computing (MEC) acts as an effective solution for this issue by offloading tasks to edge servers, significantly reducing both task latency and energy consumption. However, the computational capacity of MEC servers and the bandwidth in the system are limited, and the communication environment in forested areas is complex. To simulate the complexity of the forest communication environment, we incorporate empirical path loss and multipath fading into the calculation of signal transmission rates. The computational offloading problem is then converted into a minimum-cost optimization problem with multiple constraints related to energy consumption and latency, which we formulate as an NP-hard problem. We propose a dung beetle optimization (DBO) strategy for computational offloading, enhancing it with an improved circle chaotic mapping, a dimension decomposition strategy, and Cauchy disturbance. This algorithm has the beauty of symmetry in the search range, and the symmetrical features can comprehensively search for existing solutions. Experimental results demonstrate that the improved dung beetle optimization algorithm (IDBO) achieves better convergence, lower complexity, and superior optimization outcomes compared to local offloading strategies and other metaheuristic algorithms, confirming the effectiveness of the proposed algorithm and ensuring the service quality of the forest monitoring network. Full article

This study focuses on Xuanwu Lake Park and Purple Mountain National Forest Park in Nanjing to explore the impact of leisure furniture as a single landscape element on the visual landscape evaluation and sustainable tourism experience. In previous studies, researchers paid more attention to the overall beauty of landscape and its impact on tourists’ experiences, and there was a lack of studies on the role of a single landscape element (such as leisure furniture) in enhancing landscape beauty and tourists’ experiences. This study addresses gaps in the literature by isolating leisure furniture from other landscape elements in order to assess its unique contribution to aesthetic appeal and the various dimensions of a sustainable tourism experience, including sensory, emotional, cognitive, and operational aspects. Using Schmitt’s five-dimensional Strategic Experiential Model as the framework and combining the dual methods of visual assessments and visitor surveys, an assessment team consisting of 40 members was formed to evaluate the visual landscape of leisure furniture in two major scenic spots, and 492 valid questionnaires were collected and analyzed to study the impact of leisure furniture on tourists’ experiences. The findings reveal that leisure furniture significantly enhances visitors’ aesthetic evaluations and sensory experiences at Xuanwu Lake National Forest Park. However, suboptimally designed leisure furniture at Purple Mountain National Forest Park negatively affects both the visual appeal and sensory experience of visitors. Nevertheless, in both locations, leisure furniture positively impacts emotional and operational experiences, highlighting its role in promoting relaxation and interaction among visitors. This study provides practical insights for landscape designers and urban planners regarding the importance of carefully designing and positioning leisure furniture to optimize aesthetic and experiential outcomes. It also provides certain enlightenment and insights for future exploration of the impacts of other landscape elements (such as vegetation, water, lighting, etc.) on visual landscape evaluations and visitors’ experiences. Full article

Contacting forests in different ways and conducting public perception evaluations of forests are important ways to evaluate forest construction. In order to explore the differences between on-site and manual post-collection indoor evaluations in forest landscape surveys, we combined subjective evaluation and objective indicator monitoring (eye movement characteristics, physiological indicators) based on different forest observation scales. We compared and analyzed the suitability of the following four visual approaches: on-site observation, manual collection, followed by indoor viewing normal photos (NP), videos (VD), and virtual reality panoramas (VR), in terms of public preference, perception, and psychological emotion. The results showed the following: (1) Compared with the on-site evaluation, the three indoor visual approaches (NP, VD, and VR) showed no significant difference in “landscape beauty” and “spatial perception”. VD also showed no significant difference in “landscape perception”, “seeing”, and “plant color preference” and had the strongest substitution for site evaluation. (2) With the exception of small-scale landscapes, in which on-site evaluation showed no substitutability, for the rest of the landscape scales, each of the three indoor visual approaches showed substitutability for on-site evaluation to varying degrees. (3) When conducting physiological and psychological surveys, watching videos and VR are more ideal. In terms of eye tracking, VR is closest to on-site observation. Practice shows that video was closer to on-site observation in most landscape preferences and perceptions. VR was suitable for presenting public visual behavioral characteristics, and NP showed some advantages in landscape beauty and spatial perceptions. The findings of the study can provide a scientific basis for the selection of visual approaches in future landscape evaluation. Full article

This paper conducts a scientific assessment of aesthetic quality to provide intuitive and scientific planning strategies for national park construction. Focusing on Qianjiangyuan National Park, the study used the scenic beauty evaluation (SBE) method to subjectively assess landscape photos from 16 sample sites. Objective eye movement indicators describing visual behavior were also analyzed. A national park landscape visual quality assessment model was derived through multiple linear regressions correlating subjective evaluations with objective indicators. Spatial technologies like ArcGIS were used to analyze the visual quality and its spatial distribution. Key findings include (1) subjective evaluations showed higher SBE scores for wetland landscapes, followed by recreational, village, and forest landscapes, (2) eye movement behavior varied across landscape types, with the forest landscape having the shortest first fixation time and the lowest saccade frequency, while recreational landscapes had the lowest average saccade speed, (3) strong correlations were found between SBE and indicators such as average fixation time and saccade frequency, with fixation duration ratio being the leading factor influencing visual aesthetic quality, and (4) visual aesthetic quality was highest in the north and south areas of the park, with significant differences between sample sites in these regions compared to the central area. Among different functional zones, the ecological protection area had the highest quality, while the Suzhuang management area excelled in aesthetic quality compared to the Hetian management area. Full article

This study analysed the greater Seoul area (GSA) in terms of naturalness, a representative indicator of natural scenic beauty, and created an assessment map, shifting from a traditional urban development perspective to a landscape perspective. It also developed a “normalised naturalness index” by combining the results of the expert metric score with the Hemeroby index, which was used as a naturalness assessment representative item. Then, it interpreted the naturalness status of the GSA landscape characteristics. As a result, the landscape of the GSA demonstrates the following five characteristics: First, the central business districts in the capital city of Seoul are densely developed areas with a very high degree of human intervention. Second, the satellite cities built to solve Seoul’s housing and logistics problems are rated as “a little less, but still heavily humanised” as a landscape characteristic. These areas are becoming increasingly humanised. Also, it is worth noting that the third characteristic, regarding moderate landscape areas, has a distinctly different meaning for areas outside of the city boundary, as well as those within the city boundary. Although these areas are in the same statistical category, they have two different meanings: one is the area where the average values converged on “moderate” by virtue of urban forests near the city centre, and the other is the area outside of Seoul that has a Hemeroby value of 0.5–0.6, which refers to open spaces such as agricultural lands, wetlands, or coastal areas. Fourth, suburban forests are reserved with legal restrictions to curb excessive urban sprawl, as well as parts of the demilitarised zone along the border areas of North and South Koreas. The last landscape characteristic is illustrated in the scenic area of the eastern woodlands. The normalised landscape naturalness index developed through this study provides an overall understanding of the environmental state of the GSA. Future research may build on the results of this study to refine methods for assessing public perceptions of naturalness. Full article

Forests drive tourism growth in China, offering ecologic and economic benefits over urbanization trends. Wellness tourism, aligned with UN goals, thrives in forest settings, though challenges remain, particularly in the underinvested forest regions of Western China. This study aims to identify and rank the forest wellness tourism industry development strategies for Chongqing Tea Mountain and Bamboo Forest National Park in China. The SWOT method was used to construct the strategy, while the AHP method and QSPM matrix were used to rank the selected strategies. The data used in the analysis were the survey questionnaire data of 356 individuals to construct the model to identify the strategies, and the interview data of 23 experts to rate the strategies using the Delphi method. The effectiveness of eight internal and seven external factors for forest wellness tourism was evaluated. The survey results highlight the most significant advantages of the Chongqing Tea Mountains and Bamboo Forest as being its “beautiful natural and unique scenery”, and its most significant shortcomings as its “insufficient supporting facilities and weak infrastructure”. The QSPM matrix analysis reveals that the ‘offensive strategy’ is the best. The results also emphasize the importance of “Protecting the diverse tourism resources to keep the market prospect and promote wellness industry development” in the study areas. Therefore, the potential of developing forest wellness tourism in this area should be considered and included in the agenda of policy makers to strengthen the development of forest wellness tourism, improve the economic status of the tourism of the jurisdiction, and create employment opportunities in tourism-related businesses. Full article

Various sacred narratives have different emphases on the shaping of natural space. Creation myths reveal the basic structure of natural space. Sacred narratives of mountain gods focus on how and why mountain forests are the source of life and stability for nearly all the species in the area. The myth of the hunting god and the legend of the Flower Festival have a remarkable endemicity. The consciousness of the community of life, which is fundamentally constructed in creation myths, reveals visible and sensible pictures in these two types of narratives. The literary imagination of these sacred narratives focuses on establishing and breaking through spatial boundaries. In the intertwining of an imaginative narrative and a realistic existence, the sacredness of natural spaces is established and can be experienced. Mountaineers imbue their practices with gracefulness and nobleness in the dimensions of emotion and morality through storytelling in order to shape the morphological characteristics and the life essence of natural spaces. The shaping of beautiful places and sublime realms in these narratives is a vivid expression of cosmology. Full article

China is facing pressure to reduce carbon emissions and control pollution. Promoting the synergy between pollution reduction and carbon reduction has become an inevitable choice to achieve the construction of a beautiful China and meet the dual carbon target. This study examines the main factors influencing industrial pollution and carbon reduction in the Pearl River Delta (PRD) and Yangtze River Delta (YRD) urban agglomerations based on data on industrial CO₂ and local air pollutants (LAP) from 2002 to 2021, using the random forest regression model. The results indicate that (1) industrial CO₂ emissions have increased overall, while intensity has decreased. Additionally, both industrial LAP emissions and intensity have decreased. (2) The main factor influencing industrial CO₂ and LAP emissions is the proportion of industrial value added above the scale. Additionally, the proportion of R&D internal expenditure in GDP and total trade imports and exports are the main influencing factors of industrial CO₂ emissions. The industrial fume and dust removal rate mainly affects industrial LAP emissions. (3) There is a clear non-linear relationship between industrial CO₂- and LAP-influencing factors and emissions, which can be attributed to the scale effect factor, the lagging effect of R&D expenditure, and the inappropriate treatment of the “three wastes” by relevant departments that is non-linear. The urban agglomerations of PRD and YRD should prioritize the reduction of carbon emissions, upgrading and transforming their industrial structures, promoting the impact of foreign trade on pollution and carbon reduction, and achieving a balance between sustainable economic development and environmental protection. Full article

As an aesthetic resource in ancient China, the Zhuangzi’s description of Dao is similar to the American philosopher Emerson’s experience of beauty, and both reveal that the essence of beauty lies in its inherent vitality, spiritual transcendence, and the unity of multidimensional connotations. Emerson defines beauty as the constitution of all things in the world and believes it to be an expression of the universe. The Zhuangzi proposes the thought of tiandi damei 天地大美 (lit. Great Beauty of heaven and earth) as a manifestation of the function of the wordless Dao. Nature, intact from any human interference, becomes the common intermediary for Emerson and the Zhuangzi to elaborate on the connotations of beauty. The Emersonian definition of beauty originates from the philosophical implication of the world in ancient Greek, whereas the meaning of Great Beauty in the Zhuangzi, which embodies the worship of heaven in primitive religion, is very close to Emerson’s definition of beauty. The pattern of mei 美 consisting of da 大 (lit. great, equivalent to Dao) and yang 羊 (lit. auspice) signifies the natural celestial phenomena predicting good or bad luck and can be seen as synonymous with Dao illuminated by Daoism. By describing such natural imagery as forest, time sequence, dawn, and wilderness, Emerson reveals the vastness, harmony, brightness, and tranquility of beauty, which not only delights the spirit but also brings the human soul back to its natural state and improves personality. Emerson’s illumination of beauty conforms to those of Dao unraveled by the Zhuangzi. Despite the difference between the former’s poetic linguistic feature and the latter’s application of allegorical fables, both resort to visualized language to express internal aesthetic perceptions of the physical nature. Using the approaches of word tracing, textual comparison, and logical analysis, this article identifies the consistency in the original meanings of beauty in both Emerson’s essays and the Zhuangzi first and then goes on to analyze the similarities between their descriptions of natural imagery, so as to hint at the commonality in their understanding of natural beauty and verify the significance of literary language in cross-cultural comparative research. Full article

Taxus baccata L. is a tertiary relict, long-lived, wind-pollinated dioecious tree species found throughout Europe. In the rocky mountains of Thasos island, monumental old trees create a unique area of natural beauty. In recent times, the need to implement conservation measures for key endangered species such as Taxus baccata has intensified. Exploring the genetic diversity of the species is a prerequisite for successful forest management decisions aimed at conservation. In this study, 28 monumental trees from two natural populations of Thasos were investigated using eight Simple Sequence Repeat markers in order to assess the levels of genetic diversity and genetic differentiation within the individuals, to estimate the degree of inbreeding and the effective population size of each population, and to discuss the impact this study has on conservation efforts for the species. Although the population size was small (14 individuals per population), the results showed moderate to high genetic diversity parameters. The mean expected heterozygosity was He = 0.649 and the number of effective alleles was Ne = 3.270 for both populations. Moreover, allelic richness (A_R = 3.395) was high, indicating a variable genetic pool which is probably a result of a past established expansion of the species in the area. The results of the present study present a unique genetic pool harbored by specific trees, which is an important advantage for ensuring their conservation and resistance against biotic and abiotic threats. Our study paves the way towards conservation measures, which can be prioritized as follows: (a) in situ conservation, (b) seed bank establishment, and (c) in vitro propagation in order to secure future resilience and sustainability of the species. Full article

Aerides Lour. (Orchidaceae, Aeridinae) is a group of epiphytic orchids with high ornamental value, mainly distributed in tropical and subtropical forests, that comprises approximately 20 species. The species are of great value in floriculture and garden designing because of their beautiful flower shapes and colors. Although the morphological boundaries of Aerides are clearly defined, the relationship between Aerides and other closely related genera is still ambiguous in terms of phylogeny. To better understand their phylogenetic relationships, this study used next-generation sequencing technology to investigate the phylogeny and DNA barcoding of this taxonomic unit using genetic information from six Aerides plastid genomes. The quadripartite-structure plastomes ranged from 147,244 bp to 148,391 bp and included 120 genes. Among them, 74 were protein coding genes, 38 were tRNA genes and 8 were rRNA genes, while the ndh genes were pseudogenized or lost. Four non-coding mutational hotspots (rpl20–rpl33, psbM, petB, rpoB–trnC^GCA, Pi > 0.06) were identified. A total of 71–77 SSRs and 19–46 long repeats (>30 bp) were recognized in Aerides plastomes, which were mostly located in the large single-copy region. Phylogenetic analysis indicated that Aerides was monophylic and sister to Renanthera. Moreover, our results confirmed that six Aerides species can be divided into three major clades. These findings provide assistance for species identification and DNA barcoding investigation in Aerides, as well as contributes to future research on the phylogenomics of Orchidaceae. Full article