Using ArcGIS to analyze the spatial distribution of traditional villages in Yunnan Province in combination with the actual local conditions of traditional villages, the purpose of this study is to determine the development model suitable for their characteristics. The results show several important features of traditional village distribution. (1) The traditional villages in Yunnan Province have spatial structural characteristics of unbalanced cohesive distribution, and they are mainly distributed in the higher-level cities and prefectures such as northwest Yunnan, west Yunnan and south Yunnan. Among them, the traditional villages of Baoshan City have the highest distribution density of 66.33 per 10000 km². This is followed by Dali Prefecture and Honghe Prefecture, where the densities of traditional villages are 44.13 per 10000 km² and 37.66 per 10000 km², respectively. (2) The factors affecting the spatial distribution structure of traditional villages in Yunnan Province are natural geographical factors, humanistic historical factors and transportation factors. Among them, the natural geographical conditions with a large vertical gap in Yunnan Province gave birth to the human settlement environment of traditional villages. The history of a farming civilization that has been passed down from generation to generation has laid a brilliant and splendid humanistic foundation for traditional villages, and the high-altitude areas are relatively primitive. The transportation conditions have delayed the destruction of traditional villages by urbanization and industrialization. In summary, these factors have affected the spatial distribution pattern of traditional villages in Yunnan Province to some extent. (3) According to the law of the spatial distribution of traditional villages in Yunnan Province, it is necessary to explore the activation path of traditional village tourism with regional characteristics and ethnic characteristics, and also to carry out differentiated development according to the different endowment characteristics of local resources, that is to develop a series of activation modes including agricultural tourism, cultural tourism and ecological tourism.

Root system architecture (RSA) refers to the spatial distribution and extended morphology of plant root systems in soil. RSA not only determines the ability of plants to obtain water and nutrients but also affects other ecological functions. Hence, it plays a dominant role in the overall health of plants. The study of RSA can provide insight into plant absorption of water and fertilizers, the relationship between above- and belowground plant parts, and the physiological health and ecological functions of plants. Therefore, this paper summarizes research on the morphology, functionality, plasticity and research methods of RSA. We first review the basic structure, physiology, and ecological functions of root systems. Then the soil factors that shape RSA—including soil moisture, nutrients, temperature, aeration, and others—are summarized. After that, research methods for studying RSA are described in detail, including harvesting, two-dimensional morphological observation, and three-dimensional image reconstruction. Finally, future research developments and innovations are discussed to provide a theoretical basis for further investigations in this field.

The high-quality development of culture and tourism is an important path for promoting the implementation of the rural revitalization strategy, urban-rural integration and development, and realizing common prosperity. This special issue focuses on the major issue of “rural revitalization and high-quality development of culture and tourism”, and contains 22 academic papers with in-depth discussions on five themes: “Rural revitalization and rural tourism high-quality development”, “rural tourism destination and homestay development”, “tourism environmental behavior and farmers’ participation in tourism”, “tourism resilience and tourism risk”, “cultural tourism and tourism high-quality development”. This collection of articles has three characteristics: Rich research areas and diverse research objects; diverse research methods that are inventive, logical, and scientific; and diverse theoretical viewpoints that span several disciplines. Considering the shortcomings of the current research, it puts forward future research directions such as strengthening localized theoretical research, expanding research areas and perspectives, and further deepening and enriching the research contents. In addition to supporting China’s efforts to promote high-quality culture and tourism, as well as comprehensive rural revitalization, this special issue can offer theoretical directions and actual experience in these areas.

Global economic development and increasing human activities have brought great challenges to fragile ecosystems. In order to avoid, reduce, and reverse desertification, Chinese and foreign scientists and ecological governance institutions have developed a series of ecological restoration technologies (ERTs) and models in the past few decades. These technologies can improve residents’ livelihoods, strengthen disaster resilience, and launch a comprehensive review of degraded ecosystems in desertification regions. However, some studies and practices have limited the selection and promotion of good technologies and the assessments of these technologies, resulting in the waste and loss of funds and manpower. The objective of this study is to identify desertification control and restoration technologies and models, summarize the evolutionary features and trends of these technologies under different natural conditions, and evaluate the various ERTs that are now available. The data sources of this study include the databases of international organizations, CNKI, related literature and reports, and questionnaires from institutions and experts. First, the three stages of ERTs evolution were summarized, and the key events and social-economic developments were identified as the driving forces of evolution. Then, the four categories of ERTs were identified as biological, engineering, agricultural, and management ERTs. Finally, the key ERTs were evaluated in the five dimensions of the degree of difficulty, the degree of maturity, effectiveness, suitability, and potential for transfer. The management ERTs scores for the degree of difficulty, the degree of maturity, and potential for transfer are higher. This study provides a reference for adapting to local conditions, the comprehensive management, rational development, and utilization of dryland resources, improving the application of ecological technologies, and promoting the export and import of the excellent technologies.

As a typical representative of the herbivorous wild animals in Chang Tang Plateau, the number of Tibetan wild asses has increased significantly in recent years. Clarifying the distribution, population, and size of its habitats is conducive to formulating the protection plan for wild animals and managing the conflict between people and wild animals in Chang Tang Plateau. Based on the distribution probability of Tibetan wild ass habitats and environmental factors, the number of Tibetan wild asses in Gaize County of Chang Tang Plateau was calculated by using the belt transect method and random forest model, and due to the uncertainty of the calculations, the results were corrected and analyzed. The results show that the living environment of Tibetan wild asses in Gaize County of Chang Tang Plateau is at 4400-4600 m above sea level, 350-400 m away from the river, and the average temperature in the warmest season is 10-12 ℃. The vegetation types of habitats are generally temperate tufted dwarf grass, dwarf semi shrub desert grassland, alpine grass, Carex grassland, alpine cushion dwarf semi shrub desert, among others. On the basis of studying the environmental preferences of Tibetan wild asses, the random forest model was corrected by using the data of the second scientific survey sample line of Qinghai-Tibet Plateau for three years. The approximate number of Tibetan wild asses in each of the different areas of Gaize County was obtained. The number of Tibetan wild asses in Gaize Town, Xianqian Township, Gumu Township, Chabu Township, Mami Township, Wuma Township and Dongcuo Township is 855, 3458, 2358, 1453, 743, 943 and 647, respectively. By studying the environmental preferences of Tibetan wild asses and analyzing the results of the belt transect survey, the random forest model can accurately estimate the number of Tibetan wild asses in Gaize County of Chang Tang Plateau.

To deeply reach target markets and attract more tourists, a variety of media have been leveraged by tourism destination marketing organizations, particularly video games become a brand-new approach for destination marketing. With Assassin’s Creed: Unity as the research object, based on the Stimulus-Organism-Response (SOR) model, this article analyses and presents the influences of tourism destination factors in video games on the players’ perception of tourism destination image and their intention to visit. In this case, a conceptual model has been built with game factors as the independent variable, tourism destination image as the mediating variable and the players’ intention to visit as the dependent variable. Moreover, Multiple Regression is used in the analysis, proving significantly positive effects of game experience, character attachment, and tourism destination image on players' intention to visit. Consequently this study provides research support for the combination of tourism destination marketing and video games.

The global ski tourism market has been in a relatively mature period. However, passenger flows are stagnating in many countries and the growth perspectives are not very appealing. This change of the tourism market troubled the entire ski industry with new challenges, leading to the ski tourism industry model established in the 20th century failing to meet the current development needs. According to multiple data sources, including relevant industry reports and the latest data from internetm, this article based on a variety of these reports and the latest data from website, analyzed the ski tourism market’s both sides of supply and demand, systematically summarized the evolution of ski tourism industry since the 21st century, discussed the process of the ski tourism industry’s development and the economy’s growth, and revealed the relationship between the influencing factors of ski tourism market’s potentials. Meanwhile, the main problems and challenges in the ski market were also summarized. The results showed that global ski tourism had entered a mature stage since the beginning of 2000. Moreover, there was a specific correlation between skiing participation rate and GDP, which varied with the regional economic level and the maturity degree of skiing industry. Despite some impacts from COVID-19, the ski industry in most regions exhibited signs of recovery in 2021. The Winter Olympic Games in China have brought new opportunities to the skiing industry and have been expected to encourage global participation in skiing. However, some existing ski resorts in different countries and regions may not significantly contribute to the future development of global ski tourism, and the potential growth of ski tourism market might be small and mainly concentrated in China. At present, the biggest threat to the ski market is baby boomers having long been the bulk of ski resort visitors. The ski market is faced with this aging problem and the widespread phenomenon of ski culture fault. How to meet the needs of this new generation of customers who lack ski backgrounds or cultures is a severe challenge for all emerging and existing ski resorts around the world. Besides, public transport accessibility, service quality and resorts operation capacity have also been the improvement direction of the ski market in dire need.

Research on spatial flow as it relates to the relationship between the supply and demand of ecosystem services supports a significant connection between the supply of ecosystem services and human well-being. Understanding the entire process of the production and flow, as well as the use of ecosystem services, accurately assessing the balance of supply and demand of ecosystem services, and establishing a two-way feedback relationship between supply and demand are vital for the scientific management of the ecosystem and ensuring the sustainable development of regional resources. Based on a large number of relevant publications, this paper comprehensively summarizes the concepts and assessment methods of ecosystem service supply and demand from the perspective of ecosystem service supply and demand, and discusses the impacts of land use and climate change on the temporal and spatial changes of ecosystem services under the background of global change. Then, an analysis of the research progress in the ecosystem services spatial flow indicated that there are still deficiencies in the quantification of cultural services, the dynamics of ecosystem service flow and the driving mechanism of ecosystem services. We also propose that clarifying the driving mechanism and transfer process of ecosystem services, and realizing the mutual conversion between different spatial-temporal scales of ecosystem services, is an important approach for improving the application of ecosystem services research in practice in the future.

Digital cultural tourism is an important part of the digital economy and digital China. The development of rural digital cultural tourism is an important engine for implementing the strategy of rural revitalization and leading the high-quality development of China’s rural tourism in the new era, which helps to promote the coupling and coordinated development of the high-quality development of rural tourism and common prosperity. This study examines the opportunities and challenges in using digital cultural tourism to promote rural revitalization, discusses the mechanism and model for enabling the common prosperity of the rural digital cultural tourism industry to achieve digital cultural tourism in the promotion of rural revitalization, and finally proposes a development path. The findings indicate that: (1) Digital cultural tourism has emerged as a significant force behind the growth of the rural tourism sector, and is a key route for achieving the objective of rural revitalization. (2) Digital cultural tourism and rural revitalization have mutually beneficial relationships; digital cultural tourism enables rural revitalization, and rural revitalization unlocks digital cultural tourism’s development potential, resulting in a positive interaction mechanism. (3) Four models of digital cultural tourism promoting rural revitalization are proposed, considering the rural classification scheme and related research. They are the digital cultural tourism for urban-rural integration and revitalization model, the digital cultural tourism for characteristic village revitalization model, the digital cultural tourism for agriculture, culture and tourism integration and revitalization model, and the digital cultural tourism for arts revitalization model. (4) To thoroughly promote the development of the rural digital cultural tourist sector, it should adhere to the product as the core, digital technology as the foundation, talent revitalization as the leader, and policy as the guarantee. The findings of this study enrich the research findings in digital cultural tourism and rural revitalization, which can serve as theoretical references and a practical foundation for the development of digital cultural tourism to empower rural revitalization.

With the increasing proportion of open-pit coal mining in the coal mining industry in China, a series of potential safety hazards, environmental pollution, ecological damage and other problems caused by open-pit coal mining have attracted a great deal of attention. Scientifically determining the appropriate mining right scope of an open-pit coal mine can prevent various problems caused by coal mining from the source. In this study, according to the characteristics of open-pit coal mining and the environmental characteristics in arid areas, 15 indicators were selected and their weights were determined from the three perspectives of geological environment, social environment and ecological environment by using the AHP. Based on the spatial analysis function of ArcGIS, a digital evaluation model was established for the corresponding influencing factors, and a comprehensive evaluation model for setting the mining right range was constructed by superimposing the weights. Finally, four mining areas were identified within the study area in Wuhai, Inner Mongolia, and their ecological values were calculated to determine the mining area with the lowest ecological impact.

Food resources play a great role in human livelihood, so it is meaningful to investigate their utilization and structural evolution, especially in developing countries. This study takes data from FAOSTAT and the World Bank, and applies the emergy method to analyze Uzbek food consumption changes and characteristics from 1992 to 2019. Two main results were obtained: (1) National food consumption showed a persistent increase and had a remarkable change in stages, with the first stage of low-level repetition, the second stage of speeding up and the third stage of high development. The increase of animal-based food consumption was more notable than that of plant-based food consumption. (2) Per capita annual food consumption had a tendency of change that was similar to that of national food consumption. The proportion of animal-based food in the total per capita annual food consumption usually remained about 2-fold higher than that of plant-based food consumption. The main food consumption pattern was the combination of crops such as wheat and rice with meat such as beef. The fruit and vegetable consumption also increased. With the growing population, various changes in food demand will inevitably happen, so it is necessary to take sustainable measures in time to satisfy the new demand and to protect resources and the environment.

Improving energy efficiency is crucial for achieving the carbon peaking and carbon neutrality goals. The digital economy, which is characterized by big data, artificial intelligence, the internet of things, and a new generation of mobile Internet, has quietly penetrated all aspects of the economy and society, profoundly changing the means of production and lives of human beings. Digital technologies have great potential to improve the global energy system’s security, productivity, efficiency, and sustainability. Based on the panel data of 30 provinces in mainland China from 2006 to 2021, this study divided energy efficiency into total and single factor energy efficiency. The two-way fixed-effect model and the Driscol-Kraay method were used to adjust the standard error test in order to examine the impact of digital technology represented by industrial robots on energy efficiency and its path mechanism. Studies have shown that digital technology can significantly improve total factor energy efficiency and reduce energy intensity per unit of GDP. This conclusion was found to be still valid after the robustness test using feasible generalized least squares, time-varying difference in difference and fixed effect space Durbin model. The results of the mechanism test show that digital technology can improve energy efficiency by increasing the degree of industrial virtual agglomeration and the channels of foreign direct investment. This paper provides a valuable discussion on how information technology advances can improve energy efficiency in the era of the digital economy. The conclusions will help relevant market players to formulate policies and measures and corporate strategies to improve energy efficiency. At the same time, it also deepens the theoretical understanding and mechanism path of digital technology’s impact on energy consumption.

Medicinal and aromatic plants (MAPs) have been grown and used extensively for health care and healing practices since time immemorial in Nepal. They possess cultural, religious and economic values in Nepalese communities. In recent years, the MAPs sector is a growing commercial sector in Nepal that provides livelihood opportunities for low income generating people especially in the Himalayas. In this regard, this study assesses the contribution of MAPs to the gross domestic product (GDP) of Karnali Province of Nepal. A total of 58 species of MAPs were identified in Karnali Province. It was found that various parts of these annuals, biennials and perennial plants have been used as medicines, perfumes and food. MAPs in Karnali Province generated economic output equivalent to NPR 160738 million (USD 1.39 billion) or 1.03% of GDP of Karnali Province and 0.02% of the National GDP in the fiscal year 2019/2020. However, the findings revealed that the current GDP estimate undervalues the contribution of the MAPs sector to the national GDP due to the non-inclusion of ethnobotanical uses of medicinal plants. Moreover, if all cash and environmental benefits people derive from this sector could be valued and recorded in the System of National Accounts, the GDP from MAPs would be much higher than the amount estimated in this study. We conclude that MAPs have a reasonable contribution to the GDP of Karnali Province and Nepal.

Poplar has gained popularity among farmers of Punjab, Haryana, Western Uttar Pradesh, and the foothills of Uttarakhand and Himachal Pradesh due to their fast growth rate and suitability for industrial uses such as pulp and timber production. Integrating poplar trees into agroforestry systems optimizes land resources and economic gains, as successful techniques have been developed to coordinate crop timing and arrangements effectively. Integrating poplar trees with agricultural crops provides additional income streams for farmers and contributes to soil conservation, biodiversity enhancement, and other environmental benefits. Farmers in these regions typically employ effective spacing of 5 m×4 m for block plantation and 1 m×3 m for row plantation. In the present study, a systematic literature review encompassing 137 English-language journal articles was conducted to assess the economic benefits of Poplar using discounted cash flow (DCF) analysis, considering short-rotation poplar (SRC) and very short-rotation poplar (vSRC) plantations alongside annual crops. The findings revealed that increasing canopy density led to a decline in crop yields by 37%, 70%, and 99% at canopy densities of 30%, 60%, and 90%, respectively, from early spring to harvest. Cost-benefit analysis in Saharanpur district, India, indicated average annual net returns of USD 346.36 for Poplar-based agrisilviculture, while monoculture yielded USD 140.73 per annum. Furthermore, economic analysis in Yamunanagar and Haridwar districts showed benefit-cost ratios ranging from 2.35 to 3.7. Additionally, Poplar block and boundary plantations were found to sequester significantly more carbon in long-lived biomass, serving as substitutes for fossil fuels (5.45 and 1.84 t ha^-1 yr^-1) in poplar-based systems with block and boundary plantations. The study suggested expanding spacing between tree rows may mitigate resource competition between plantations and crops. The study inferred that Poplar-based agroforestry may play a crucial role in climate mitigation programs by effectively sequestering atmospheric carbon and offering fuel, fodder, timber, and wood products, thereby alleviating pressure on existing natural forests.

To achieve the Sustainable Development Goals (SDGs), thereby meet the post 2020 global biodiversity targets and increase resilience to climate change, nature-based approaches such as ecosystem-based adaptation (EbA) is suggested as a promising and integrated adaptation strategy. EbA comprises adaptation strategies that value the role of ecosystems in reducing social vulnerability to climate change. Among the different biological groups on earth, fungi play not only an important role to maintain the biogeochemical cycle/nutrient cycle in ecosystems (supporting and regulating services), but also contribute to the socio-economic and cultural benefits of societies (provisioning and cultural services). Here, we present our knowledge and scientific understanding on how these neglected groups of biodiversity-fungi are crucial for ecosystem-based adaptation (EbA) approach based on our field experience, review and associated expertise on caterpillar fungus (Ophiocordyceps sinensis), and other wild mushrooms found in Nepal. Several species of fungi are used by local communities as food, medicines, and environmental income. Fungi are important sources of household income for mountain communities in Nepal providing a cushion during shocks and disasters and supporting food security, health care, education and building shelter. For the holistic EbA approach, it is essential to strengthen local institutions as well as indigenous local knowledge which could be an important policy intervention for the identification, conservation, and sustainable management of ecologically, socially and economically useful fungal species.

This study aims to survey the literature and factual evidence on the nexus between deforestation and agriculture through an assessment of the potential impacts of climate change in the context of the world, India, and the Western Ghats. The Western Ghats region was chosen for this study because of its deep ecological significance. A few underlying themes were created and findings were documented under each theme that ranged from the causes of deforestation, the transformation of forest land for agriculture, the nexus between agriculture, deforestation and climate change, climate-driven agricultural vulnerability and the reconciliation of forest protection with agriculture. These findings suggest that shifting agriculture has been a dominant source of deforestation. The primary climatic impacts on agriculture are seen through crop yield falls. India’s arid and semiarid tropical regions have witnessed high climate-driven agricultural sensitivity. This could be on account of the fact that India’s tropical forests have witnessed high deforestation. The presence of higher tree densities in areas under Joint Forest Planning and Management in the Western Ghats create the potential for sparing remaining land areas for non-forest uses such as agriculture.

With the promotion of the rural revitalization strategy, cultural and creative industries of tourism have gradually become an important driving force for rural revitalization. Since the economic level of minority areas is low and the concept of industrial development lags behind, developing the cultural and creative industries of tourism has a positive role in cultural revitalization and economic structure transformation. In recent years, Ebian Yi Autonomous County (Ebian County) has relied on rich intangible cultural heritage resources and achieved fruitful results in the development of cultural and creative products of rural tourism, adding vitality to its rural tourism and rural revitalization. Starting from the economy and the development of cultural and creative industries empowered by intangible cultural heritage (ICH), this study analyzed the impact of related cultural and creative products of Ebian County on its economic development in the five-year period from 2018 to 2022 by means of qualitative and quantitative research methods. Three main conclusions could be drawn. (1) The impact of intangible cultural heritage cultural and creative industries of Ebian County on the economy has been positive and expanding gradually with time. (2) The number of inheritors and workshops, and the business income of workshops are the three major factors affecting the development of cultural and creative industries. (3) Ebian already has a good foundation of cultural and creative industries of intangible cultural heritage, so the investment of funds and training of talents have played a major role in promoting the development of cultural and creative industries of intangible cultural heritage.

Tagetes minuta L. is native to the temperate grasslands and relatively high-altitude areas of South America. In 1990, it was first discovered in the Beijing Botanical Garden in China. In 1994, Pema Dawa introduced the species as a Tibetan medicine from the mountains of northern India to his courtyard in Gangjiang Village, Wolong Town, Milin County. Around 2010, scholars discovered that Tagetes minuta L. was widely invasive, which aroused extensive social concern. Featuring small weight, large number, and awns, Tagetes minuta L., is easy to spread and has a high seed germination rate, with 20% of the reproductive investment. The plant is tolerant of barrenness and drought and adapts to climates with large diurnal temperature differences and strong light conditions. Rich in aromatic substances and essential oils, the leaves and flowers serve medicinal, food, flavoring, health care and cosmetic purposes. Thiophene in the roots and bioactive components in the essential oil have anti-inflammatory, sterilizing, insect-repellent, and fly control effects, with significant allelopathy on native species. The biological and ecological characteristics of Tagetes minuta L. lay the material basis for its population spread. According to Tibetan folklore, we suggest using physical methods or biological control techniques for ecological control and strengthening the research of development and application to guide its economic benefits in Tibetan Buddhist supplies.

Against the backdrop of global climate change, the threat of extreme rainfall and flooding hazards to urban safety is becoming increasingly serious, and there is an urgent need to improve the resilience of cities through the construction of sponge cities. However, improving the sponge city’s capacity for resisting the risk of urban flooding is challenging. The relevant concept of ecosystem-based disaster risk reduction (Eco-DRR) is currently one of the main international theories of urban resilience, and it has important value for enhancing urban stormwater resilience. An approach for improving the stormwater resilience of sponge cities is presented in this paper, using the urban design of Jiangchuanlu Street in Shanghai as an example and the stormwater model to simulate flood disasters on Jiangchuanlu Street. In addition to the simulation results, the population and property conditions of the site were combined in order to conduct a comprehensive risk assessment through the risk matrix. Then, the Eco-DRR measures were implemented to enhance the urban stormwater resilience of Jiangchuanlu Street based on the assessment results. Finally, the ecological infrastructure of the study area was constructed, and the safety and health units were created on the basis of the ecological substrate to prevent and respond to public health emergencies. The results show that the stormwater resilience enhancement approach based on Eco-DRR can effectively alleviate the flood risk of Jiangchuanlu Street. At the same time, the safety and health units created through the ecological infrastructure can also help to prevent and respond to public health emergencies. The results of this study provide a resilience enhancement approach for sponge cities based on Eco-DRR, as well as a theoretical reference for the planning and construction of safe and resilient cities.

With the continuous development of human society, population increase, resource consumption and environmental pollution are increasing day by day, and the environment and resources on which tourism depends for development are more and more seriously damaged, which seriously affects the sustainable development of tourism, especially in underdeveloped areas. Hulunbuir Grassland Ecological Function Zone is the national ecological function area in China; and it is also an important ecological security barrier in northern China. Methods of raising more funding to support the ecological conservation of the Hulunbuir grasslands, while also supporting the tourism sustainability, is an important problem. In this study, the Contingent Valuation Method (CVM) was used to explore the feasibility of collecting conservation fees from tourists in grassland tourism destinations in China, determine the reasonable amount of conservation fees and the factors influencing the amount of conservation fees by face-to-face questionnaire survey. The respondents of this study is tourists who had completed their travel and were about to leave Hulunbuir, and 567 valid questionnaires were collected. The results show that: (1) tourists have the potential to create environmental resources conservation funds, and it is feasible to raise conservation funds with tourists as the main source of payments; (2) the Hulunbuir grassland conservation fee should be set at 49 yuan, which is acceptable to most tourists and will not change the number of tourists; (3) Tourists’ socio-economic characteristics, travel characteristics and types of leisure activities have significant influences on the amount of conservation fees.

The present world pattern has undergone major changes, the trend of world multi-polarization is constantly emerging, and peace and development remain the main themes of today’s society. The formal signing and implementation of the Regional Comprehensive Economic Partnership (RCEP) is important for meeting the needs of peace and development of many countries and regions. China is in a new era of reform and opening-up, and the RCEP content is in line with China’s concept of pursuing a path of rejuvenation. Based on the locations of important borders, Yunnan Province has become one of the key places for China’s opening-up and development regarding Southeast Asia and South Asia, and the high-quality development of its tourism service trade is of great significance. This study first used the grounded theory analysis method to organize, analyze and process the records of international conferences and government press conferences held in Yunnan Province, as well as important related issues since the signing of RCEP. Then, the social network analysis method was used to analyze the social recognition degree of RCEP in promoting the high-quality development of the tourism service trade in Yunnan Province from the perspectives of different levels and group consensus. The results show that cooperation is the key macro driving force for RCEP in promoting the high-quality development of the tourism service trade in Yunnan Province. Regarding the opportunities and environment of the transportation dividend, policy dividend and investment dividend, port construction, border township construction and exhibition-related construction are important cooperation contents, so they are conducive to the recovery of the tourism industry in a broader development space. Competition can improve the driving force of RCEP in promoting the high-quality development of the tourism service trade in Yunnan Province at the micro level, and has more practical significance. For example, RCEP can better rely on its own geographical advantages and international market competitiveness, optimize the use of resources inside and outside ports, and use high-tech products to form a more green, ecological, organic and sustainable development. In different levels of social identity, RCEP’s power of cooperation is more strongly recognized, while the power of competition is less recognized. However, from the perspective of grouping the various groups, RCEP’s powers of cooperation and competition are jointly recognized by the other groups, indicating that cooperation and competition are necessary for the realization of RCEP’s power. The results of this study provide a certain reference for understanding the dynamics of RCEP in more detail from more angles and for the local implementation of RCEP rules and measures.

As a very important part of the urban ecosystem, the urban green space system plays an active role in maintaining the urban ecosystem stability, providing ecosystem services, and improving the quality of the urban environment. In order to deal with the problems brought about by the deterioration of the urban ecological environment, it is necessary to study and analyze the spatial distribution pattern, evolutionary characteristics and ecosystem services of urban green space to maximize its ecological benefits and comprehensive functions. In this study, we took Beijing urban area as an example, and based on the spatial distribution data of urban green space and remote sensing data, we first calculated the urban green space type transition matrix, landscape pattern index and ecosystem services. Then, we analyzed the changes in urban green space landscape patterns, ecosystem services and their spatial distributions from 2000 to 2020, and studied the interactive relationships between landscape changes and changes in ecosystem services. The results showed three key findings. (1) Beijing’s urban green space construction has achieved remarkable results from 2000 to 2020. The area of green space has increased by 77.41%, mainly from cultivated land and construction land. (2) From 2000 to 2020, the amounts of dust retention, SO₂ absorption, NO₂ absorption, cooling and humidification, carbon fixation and oxygen release, and rainwater runoff reduction in Beijing's urban green space have shown continuous increases in general. (3) There is a close relationship between urban green space landscape changes and green space ecosystem services, and total area (TA) has the highest correlation with ecosystem services. Except for rainwater runoff reduction, the correlation coefficients between TA and ecosystem services are all higher than 0.85. This research can provide theoretical guidance for optimizing Beijing's green space and determining how to maximize the effect of green space for improving the ecological environment, and ultimately provide a scientific basis for the construction of Beijing's ecological environment.

China’s Yellow River Delta represents a typical area with moist semi-humid soil salinization, and its salinization has seriously affected the sustainable use of local resources. The use of remote sensing technology to understand changes in the spatial and temporal patterns of salinization is key to combating regional land degradation. In this study, a feature space model was constructed for remote sensing and monitoring land salinization using Landsat 8 OIL multi-spectral images. The feature parameters were paired to construct a feature space model; a total of eight feature space models were obtained. An accuracy analysis was conducted by combining salt-loving vegetation data with measured data, and the model demonstrating the highest accuracy was selected to develop salinization inversion maps for 2015 and 2020. The results showed that: (1) The total salinization area of the Yellow River Delta displayed a slight upward trend, increasing from 4244 km² in 2015 to 4629 km² in 2020. However, the area’s salting degree reduced substantially, and the areas of saline soil and severe salinization were reduced in size; (2) The areas with reduced salinization severity were mainly concentrated in areas surrounding cities, and primarily comprised wetlands and some regions around the Bohai Sea; (3) Numerous factors such as the implementation of the “Bohai Granary” cultivation engagement plan, increase in human activities to greening local residential living environments, and seawater intrusion caused by the reduction of sediment contents have impacted the distribution of salinization areas in the Yellow River Delta; (4) The characteristic space method of salinization monitoring has better applicability and can be promoted in humid-sub humid regions.

At present, carbon intensity in the economy has become a realistic problem faced by many countries. Decarbonization and green development have gradually become one of the main trends in the world, and major countries around the world have put forward carbon neutrality targets. Russia is one of the largest greenhouse gas emitters in the world. Therefore, under the current international situation of The Russia-Ukraine war and the exogenous impact on Russia’s economy and finance, it is of great significance to study Russia’s carbon emissions for Russia’s economic development, environmental protection and global green development. In recent years, Russia’s carbon intensity has remained high, which may be caused by several factors, such as the decline in actual investment level, single industrial structure, excessive dependence on oil and gas industry, external shocks to the Russian economy in 2014 and other macroeconomic factors. The purpose of this study is to identify trends in carbon intensity during the period of exogenous shocks to the Russian economy and financial sector from 2014 to 2018, and to explain the causes. First, the synthetic control method is used to examine the changes in Russia’s carbon intensity since 2014, and the results show that since 2014, Russia’s carbon intensity has increased significantly; Secondly, using the mediation effect analysis model to test the impact mechanism, it is found that since 2014, the Russian industrial structure has not been actively improved, but instead increased its dependence on the resource industry, thereby increasing carbon emissions. Combined with the tail effect analysis, Russia has faced significant economic pressure, and its carbon intensity is unlikely to return to the state before 2014 in the short term.

Rural tourism has become a hot spot in China's tourism development. Based on the AHP model and the comprehensive evaluation method of fuzzy cognition, this paper builds an evaluation system for the evaluation of rural tourism resources, including resource value, environmental factors, reception conditions with three criterion layers, and 25 evaluation factors. We recovered 574 valid questionnaires through two online forms and field research in Lanzhou city, and then used them to complete the empirical analysis. The results show four main aspects of the tourists' perspective on rural tourism resources. Firstly, rural tourists are concerned about higher service facilities. The evaluation of rural tourism resources pays more attention to the reception conditions, and tourists pay more attention to the facilities of the reception conditions. In addition, the reception condition value accounts for a more concentrated 8-10 points (61.4%), which is higher than environmental elements (58.87%) and the value of the resource itself (54.26%). Secondly, tourists' attention to rural tourism resources mainly focuses on the pleasurable (0.1152), tour line design (0.1014), experience (0.0765), ornamental (0.0747) and other aspects. Thirdly, the degree of cognition mainly focuses on nature (4508), environmental safety (4469), pleasantness (4387), accommodation conditions (4367), tour line design (4363) and other aspects of the rural tourism resources. Fourthly, the cognition of rural tourism resources is basically given priority with 6-9 points, and environmental factors accounted for the highest portion. However, rural tourists have higher expectations for the popularization and education of rural tourism resources, but the sense of acquisition is relatively low. Through the further improvement and improvement of the naturalness of environmental resources, environmental safety of reception conditions, and the enjoyment of external traffic and resource value, the overall benefit of rural tourism resources is maximized. The results of this study can provide reference for the theoretical foundation of rural tourism resources.

Tourism resources are the basic materials of tourism development, and they also provide the support for regional tourism spatial competition. The development of tourism depends on the degree to which tourism resources are utilized, and it is of great guiding significance for their development and utilization to study their spatial structure. Based on a large sample of data on tourism resources, and starting from the characteristics of multi-type, multi-level and multi-combination, this paper puts forward a framework and method for analyzing the spatial structure of tourism resources. Taking Hainan Island as an example, this paper describes the spatial structure of tourism resources in Hainan Island by using the method of point pattern analysis, identifies the tourism resource development zones, and puts forward some suggestions for the development of tourism resources. The results are as follows: (1) The characteristic scale of the spatial structure of tourism resources in Hainan Island is 30.5 km, and there are significant differences in the distributions of all kinds of tourism resources. (2) Through the spatial structure map of tourism resources, the tourism resource development zones are identified, including three tourist central city levels, “one horizontal and three vertical” tourist belts and four tourist combination areas. (3) By combing the distribution of tourism resources and the development zones in Hainan Island, the cross-border characteristics of the tourism resources and development zones are obvious. In order to give full play to the spatial combination and superposition effect of tourism resources, a change from a single isolated development mode to the overall combined development between regions is suggested. On the provincial scale, it is relatively accurate to describe the spatial structure of tourism resources for point data with a large sample size. However, the method of point pattern analysis can not only accurately describe the spatial structure of tourism resources, but it can also provide reference for other types of regional spatial analyses. The research results provide a scientific basis for the spatial planning of regional tourism resources and have practical significance for the development of regional tourism.

Against the background of rapid climate warming, frequent and severe flooding disasters significantly impact socio-economic development and human life. In 2023, due to the northward movement of Typhoon Doksuri, extreme precipitation occurred in northern China, which resulted in a massive flood event in the Haihe River basin. Seven flood detention basins (FDBs) in North China were successfully implemented to effectively alleviate the downstream flood pressure. Leveraging all available Chinese satellite data, we monitored the flooding process daily, focusing on reviewing the flooding in the Dongdian FDB. The results indicate that since the activation of Dongdian FDB on August 1, the flood reached the urban area of Tianjin in just nine days and inundated the entire detention basin. Flooding persisted in the detention basin for about a week before gradually receding. The total maximum inundated area in the whole region was 307.5 km², including 240.5 km² of arable land, 7.0 km² of greenhouse land, and 9.7 km² of built-up land, with an average inundation duration of 19 days. The total cumulative inundated arable land area was 240.5 km², with an average inundation time of 21 days. This study shows that multi-source Chinese satellite data can provide comprehensive information and adequate references for post-disaster assessments.

This study mainly examines the factors influencing mountain outdoor tourism development in light of the regional economy, human environment, infrastructure, talent services, and other aspects. It analyzes the advantages and disadvantages of mountain outdoor tourism development in the process of regional development by combining qualitative research with quantitative research, and puts forward corresponding sustainable development measures in combination with an actual investigation. These measures can provide certain guidance and practical information for the ultimate realization of mountain outdoor tourism in harmony with the residents, which is a win-win situation. Taking Siguniang Mountain as the research area, we adopted the methods of literature review, questionnaire survey and field interview, and used SPSS26 and Smartpls to construct a structural variance model for the related dimensional impact analysis. The results show that the attractants of a mountain outdoor tourism destination and the humanistic environment of the destination have a highly significant relationship with tourist satisfaction. Mountain outdoor tourism destination services and facilities have a low degree of significant relationships with tourist satisfaction. Among them, the path coefficient of outdoor tourism destination consumption in mountainous areas is close to 0, and the significance level is greater than 0.05, so the relationship between destination consumption and tourist satisfaction has not been affected. The correlation analysis of Smartpls showed that the tourist satisfaction of mountain outdoor tourism destinations in Siguniang Mountain is mainly affected by the cultural environment, tourism attractions and tourism facilities of the mountain outdoor tourism destinations. The analysis of the final results of the structural equation model indicated that the cultural environment and tourist attractions of the tourist destination have high positive significant relationships with the satisfaction of tourists, while the significance of the relationship between the facilities of the tourist destination and the satisfaction of tourists is weak, and the positive relationship between the service factors of the tourist destination and the satisfaction of tourists is also weak. Therefore, the functional relationship is “two strong, one weak and one weak”. Finally, suggestions are put forward for optimizing and improving tourist satisfaction from the aspects of human environment, infrastructure, talent services, and the comprehensive development of tourist destinations, which have a certain reference value for improving tourist satisfaction and the sustainable development of tourist destinations.

Urbanization has resulted in growing ecological pressures on cities, necessitating assessments of urban ecological quality. Long-term characterization of regional dynamics and drivers is critical for environmental management. This study proposes an enhanced ecological quality model (MRSEI) incorporating vegetation cover and EVI rather than just NDVI. The MRSEI model was applied to analyse ecological quality in Yulin City during 2000-2018 using Landsat TM/OLI data on Google Earth Engine. Geographic detectors also quantified anthropogenic and environmental influences on the study area. The results are summarized as follows: (1) MRSEI showed an average correlation coefficient of 0.840 with other indices, demonstrating higher representativeness than individual components. The principal component analysis indicated a 12.88% increase in explained variance. MRSEI also exhibited significantly improved identification of roads, villages, and unused lands over RSEI, better matching ground conditions, and suitability for regional ecological assessment. (2) During 2000-2020, the average MRSEI in Yulin City was 0.481, peaking at 0.518 in 2018, indicating general ecological improvement over time. Spatially, conditions were better in the southeast than northwest. While 38.81% of the area showed significant improvement, 10.15% exhibited significant deterioration, concentrated in western Dingbian and Jingbian counties, highlighting areas requiring enhanced protection. (3) Ecological conditions in Yulin City remained stable over time. High-high clusters were concentrated in eastern counties (Qingjian, Wubao, Jia, Fugu) and central lower-altitude areas near Yokoyama and Zizhou. Low-low clusters predominated in the northern Yuyang desert and high-altitude western Dingbian regions. (4) Enhanced vegetation cover had the greatest influence in improving Yulin’s ecological quality. Rainfall was the most impactful environmental driver, while precipitation and land use change interactions showed the strongest combined effects. In contrast, air quality had minimal explanatory power in Yulin City. (5) The MRSEI model significantly impacts the ecological assessment of urban areas, thereby enhancing urban ecological monitoring accuracy. Moreover, our analysis demonstrates applicability to watershed regions, facilitating comprehensive regional ecological assessment and monitoring.