TL;DR: In this article , the authors identify how disruptive technologies have evolved over time and their current acceptation, and extract the most prominent disruptive technologies, besides AI, that are in use today.
Abstract: The greatest technological changes in our lives are predicted to be brought about by Artificial Intelligence (AI). Together with the Internet of Things (IoT), blockchain, and several others, AI is considered to be the most disruptive technology, and has impacted numerous sectors, such as healthcare (medicine), business, agriculture, education, and urban development. The present research aims to achieve the following: identify how disruptive technologies have evolved over time and their current acceptation (1); extract the most prominent disruptive technologies, besides AI, that are in use today (2); and elaborate on the domains that were impacted by AI and how this occurred (3). Based on a sentiment analysis of the titles and abstracts, the results reveal that the majority of recent publications have a positive connotation with regard to the disruptive impact of edge technologies, and that the most prominent examples (the top five) are AI, the IoT, blockchain, 5G, and 3D printing. The disruptive effects of AI technology are still changing how people interact in the corporate, consumer, and professional sectors, while 5G and other mobile technologies will become highly disruptive and will genuinely revolutionize the landscape in all sectors in the upcoming years.
TL;DR: In this article , the authors present a review of competitive market research using sentiment analysis, which is the process of recognizing emotions expressed in text, as opposed to merely recognizing whether particular words within a group of text have a negative or positive connotation.
Abstract: As part of a business strategy, effective competitive research helps businesses outperform their competitors and attract loyal consumers. To perform competitive research, sentiment analysis may be used to assess interest in certain themes, uncover market conditions, and study competitors. Artificial intelligence (AI) has improved the performance of multiple areas, particularly sentiment analysis. Using AI, sentiment analysis is the process of recognizing emotions expressed in text. AI comprehends the tone of a statement, as opposed to merely recognizing whether particular words within a group of text have a negative or positive connotation. This article reviews papers (2012–2022) that discuss how competitive market research identifies and compares major market measurements that help distinguish the services and goods of the competitors. AI-powered sentiment analysis can be used to learn what the competitors’ customers think of them across all aspects of the businesses.
TL;DR: Wang et al. as discussed by the authors developed an innovative approach for assessing the tourism resource carrying capacity from the "load-carrier" perspective by exploring the interaction between the carriers and loads of tourism resources.
TL;DR: In this paper , the authors explored human skills in the entrepreneurial world, considering its three main forms of creativity, innovation and entrepreneurial spirit in relation to the digital transformation (DT) and suggested that governments and policymakers encourage creative working activities by exploiting technologies to develop innovations.
Abstract: Shifting from Industry 4.0 to Industry 5.0, the digital transformation (DT) has encouraged new debates on human skills as opposed to technologies. It has delivered positive and negative perspectives, focusing on the dilemma of how human skills can influence the DT. The present research explores human skills in the entrepreneurial world, considering its three main forms of creativity, innovation and entrepreneurial spirit in relation to the DT. This has mostly occurred in the knowledge-intensive business service (KIBS) industry in which humans have a predominant role. Under the lens of social cognitive theory, this study has examined a range of 370 KIBS companies across different sectors in Europe and the resulting individual creativity and innovation represent a (motivator) or a catalyst, which drives and nurtures DT. Theoretically, a new concept emerges, namely digital humanism, which involves emphasizing the relevance of human skills. Moreover, the study suggests that governments and policymakers encourage creative working activities by exploiting technologies to develop innovations. In this sense, technologies assume a positive connotation, leveraged by entrepreneurship knowledge-intensive business service; digital humanism; Creativity; Digital transformation; entrepreneurial spirit.
TL;DR: Wang et al. as mentioned in this paper proposed a virtual experience system for Dongyang bamboo weaving, a traditional form of ICH craftsmanship, to display its historical background, cultural connotation, and technical craftsmanship.
Abstract: As an important national cultural treasure, intangible cultural heritage (ICH) faces certain problems in inheritance and sustainability. With the development of digital technology, the increasing research and application of virtual reality technology in ICH have been presented. This paper proposes a virtual experience system for Dongyang bamboo weaving, a traditional form of ICH craftsmanship, to display its historical background, cultural connotation, and technical craftsmanship. The learning module of the system is evaluated through the comparative experiments by 8 subjects. From the experimental data, compared with the computer, the average time for subjects to learn bamboo weaving in the system is shorter. The results of the questionnaire indicate that the learning module arouse their interest in bamboo weaving. The result shows the system is able to create an immersive and interactive scene for the users to understand bamboo weaving culture and learn the skills, which may encourage the sustainable development of bamboo weaving culture from the perspective of diffusion and provide research methods for other studies on traditional craftsmanship of ICH.
TL;DR: In this paper , the authors investigated the research progress of 5G Internet of Things in smart agriculture, and they sort out the development status of smart agriculture Internet of things in recent years.
Abstract: In the future, agriculture will face the need for increasing production, sustainability, wisdom, and efficiency, which will bring significant challenges to the development of modern agriculture. With the gradual popularization of 5G, advanced information technologies such as the Internet of Things and artificial intelligence promoted the evolution of modern agriculture to intelligent agriculture. The 5G-based Internet of Things will play an essential role in the development of smart agriculture. This paper investigates the research progress of 5G Internet of Things in smart agriculture. It sorts out the development status of 5G smart agriculture Internet of Things in recent years. Following that, the concept of 5G smart agriculture Internet of Things is put forward. It expounds on the connotation, architecture, and enabling key technologies. According to the key application scenarios of smart agriculture, practical cases are presented, the development trend and application value of 5G smart agriculture Internet of Things are shown, and the future development direction is put forward. Firstly, the concept of smart agriculture is distinguished, and the category scenarios of smart agriculture are summarized. Following that, the current review research on 5G-IoT is analyzed. This paper focuses on the analysis and summary of the changes brought by 5G to various key scenarios in smart agriculture. This paper analyzes the related key technologies and challenges, puts forward some key scientific problems, and summarizes the research ideas. Finally, the development trend and application value of 5G smart agriculture Internet of Things are shown. The future development direction is also proposed.
TL;DR: Zhang et al. as mentioned in this paper analyzed the dynamic changes of tourism economic effects during the process of new-type urbanization, explained the connotation of new type urbanization and established an indicator system for its evaluation.
TL;DR: In this paper , an improved two-stage non-cooperative data envelopment analysis (ITNDEA) is further proposed to measure GLID efficiency by taking 30 Chinese provinces in 2020 as cases, and the results are finally compared with that by Two-Stage Data Envelopment Analysis (TDEA), and Two-stage Non-Cooperative Data Encoder Analysis (TNDEA).
TL;DR: In this article , the authors examined how message meaning relates to current social media challenges and concluded that people who utilize social media have a higher propensity to read the news and become more authentic by sharing it.
Abstract: Problems with meaning arise when symbols interact in digital communication on social media between users. Different messages may be interpreted differently due to symbolic exchanges between social media users. This paper examines how message meaning relates to current social media challenges. The data used to address the issue was obtained from an online survey of social media users, and the semiotics method was employed (denotation and connotation). This study concludes that people who utilize social media have a higher propensity to read the news and become more authentic by sharing it. To read social media text messages denotatively has ideological consequences for users and connotative implications. Social media messaging's ideological impact creates the purpose of action (change of view on an issue, for example, COVID-19 vaccination). This paper contributes to digital media literacy, which develops critical thinking abilities based on digital knowledge by choosing to read news content. Besides, this paper contributes to the capacity to critically create content based on digital culture (positive news content) and offer critical commentary based on digital ethics (politeness in providing language). This article discusses the benefits and importance of news content comments and the ability to share news content critically based on digital safety by safely evaluating information before sharing it.
TL;DR: In this paper , a leader-follower architecture was constructed by introducing intermittent-influence opinion leaders to the DeGroot model and analyzes the influence of this type of leaders on the evolution of opinions.
Abstract: This article constructs a leader–follower architecture by introducing intermittent-influence opinion leaders to the DeGroot model and analyzes the influence of this type of leaders on the evolution of opinions. Different from the existing studies where the leaders can convey their opinions to the followers uninterruptedly, the leaders in this article can only convey its opinion by broadcasting at some intermittent moments. First, we analyze the relationship between the leaders’ broadcast moments and the consensus opinion of followers and explain that the marginal revenue of the broadcasts is diminishing. Second, we describe the connotation of assimilation and calculate the minimum number of broadcasts required for the leaders to assimilate the followers’ opinions. Finally, aiming to make the consensus opinion of the followers and the leaders’ as close as possible, we give an optimal strategy on how to select followers to broadcast. The correctness of theoretical results is verified by numerical simulations.
TL;DR: The authors show that teachers rate Asian students' academic skills more favorably than observationally similar White students in the same class, even after accounting for test performance and behavior, and that teachers respond to the presence of any Asian student in the classroom by widening Black-White and Hispanic-White assessment gaps.
TL;DR: Wang et al. as mentioned in this paper conducted a systematic literature review based on related articles retrieved from the Web of Science database and China National Knowledge Infrastructure database and showed that the overall study on eco-product value realization and eco-industry has shown a year-on-year growth trend.
Abstract: Eco-product value realization and eco-industry are in a rapid development stage, but the eco-product value realization mechanism is still unclear. Strengthening research on eco-industry and eco-product value realization not only helps to coordinate the relationship between regional ecologies and the economy but also contributes to regional sustainable development. This study conducted a systematic literature review based on related articles retrieved from the Web of Science database and China National Knowledge Infrastructure database. The results showed the following: (1) Regarding time series, the average annual number of published works in the literature from 2000 to 2017 is less than 4, while the average annual number of published works in the literature from 2018 to 2022 is more than 97. The overall study on eco-product value realization and eco-industry has shown a year-on-year growth trend. (2) The research content primarily involves five aspects, including the connotation and extension of eco-products, eco-product supply, eco-product value accounting, eco-product value realization, and eco-industry. (3) It is essential to deepen the study on the improvement mechanism of the eco-product supply capacity, eco-products property rights, evaluation system for eco-product value realization, ecological compensation mechanism, driving mechanism for eco-products to eco-industry, and coupled development of ecological restoration and eco-industry. Based on the above research, this paper presents an enlightment of the forest ecosystem services in the karst ecological restoration area from three aspects: enhancing the supply ability of eco-products, improving the compensation mechanism of forest ecological services, and coordinating the development of ecosystem services and eco-industries.
TL;DR: Wang et al. as mentioned in this paper analyzed the development of the EIA paradigm over the past 40 years, according to the leading force of institution formation and change, and divided it into three stages: the initial stage, from early 1970s to early 1990s, the strengthening stage, and the reform stage, since 2015.
TL;DR: Wang et al. as discussed by the authors used relational silence as a mediating variable to explore the internal mechanisms of inclusive leadership on employees' innovative behavior, and found that relational silence partially mediates the relationship between inclusive leadership and employee innovation behavior.
Abstract: Introduction Although employees’ silence is a common phenomenon in organizations, the mediating role of relational silence has not been studied in inclusive leadership and innovative behavior. In this study, based on the theory of social exchange, relational silence is used as a mediating variable to explore the internal mechanisms of inclusive leadership on employees’ innovative behavior. Methods Data from 263 in-service leaders and employees were collected using convenience sampling and analyzed using Amos and SPSS statistical software package via questionnaires distributed to companies in six cities in the Guangdong province of China. Results The results showed that inclusive leadership has a significant positive predictive effect on employees’ innovative behavior (β = 0.590, p < 0.01), while inclusive leadership is negative and significantly correlated with relational silence (β = −0.469, p < 0.01). More so, relational silence has a significant negative correlation with employees’ innovative behavior (β = −0.408, p < 0.01), and relational silence partially mediates the relationship between inclusive leadership and employee innovation behavior. Discussion The mediating role of relational silence between inclusive leadership and employees’ innovative behavior is revealed for the first time, theoretically broadening and enriching the connotation of inclusive leadership’s influence mechanism on employees’ innovative behavior and providing new ideas in practice for constructing inclusive leadership styles, reducing the incidence of relational silence, and evoking employees’ innovative behavior.
TL;DR: Wang et al. as discussed by the authors used the entropy-based TOPSIS method to calculate the marine industry development level in 11 coastal provinces of China from 2007 to 2019, and the Dagum Gini coefficient was used to analyze regional differences.
TL;DR: Wang et al. as discussed by the authors explored and developed a conceptual framework of the model for the cultivated land quality analysis from the data perspective, including cultivated land ontology, mapping, correlation, and decision models.
Abstract: As cultivated land quality has been paid more and more scientific attention, its connotation generalization and cognitive bias are widespread, bringing many challenges to the investigation and evaluation of regional cultivated land quality and its data analysis and mining. Establishing a systematic and interdisciplinary cognitive approach to cultivated land quality is urgent and necessary. Therefore, we explored and developed a conceptual framework of the model for the cultivated land quality analysis from the data perspective, including cultivated land quality ontology, mapping, correlation, and decision models. We identified the primary content of cultivated land quality perceptions and four cognitive mechanisms. We built vital technologies, such as the collaborative perception of the quality of cultivated land, intelligent treatment, diagnostic evaluation, and simulation prediction. Applying this analysis framework, we sorted out the frequency of indicators that characterize the function of cultivated land according to the literature in recent years and have built the cognitive system of cultivated land quality in the black soil region of Northeast China. The system’s central component was production capacity and it had three components: a foundation, a guarantee, and an effect. The black soil region cultivated land quality evaluation system has seven purposes involving 20–31 key indicators: production supply, threat control, farmland infrastructure regulation, cultivated land ecological maintenance, economics, social culture, and environmental protection. In various application contexts, the system had many critical supporting technologies. The results demonstrate that the framework has strong adaptability, efficiency, and scalability, which might offer a theoretical direction for further studies on the evaluation of the quality of cultivated land in the area. The analysis framework established in this study is helpful to deepen the understanding of cultivated land quality systems from the perspective of big data. Taking the big data of cultivated land quality as the driving force, combined with the technical methods of cultivated land quality analysis, the evaluation results of cultivated land quality under different scenarios and different objectives are optimized. In addition, the framework can serve the practice of farmland management and engineering improvement, adapt to the management needs of different objects and different scales, and achieve the combination of theory and practice.
TL;DR: Wang et al. as mentioned in this paper conducted a thorough review of healthy building research and reveal its nature; and identified the current research gaps and propose possible future research directions. But, there remains a lack of comprehensive and systematic reviews on healthy buildings.
Abstract: Since the outbreak of COVID-19, buildings that provide improved performance have aroused extensive discussion. Nowadays, the connotation of healthy building is becoming complex, performance metrics for healthy buildings vary significantly from different regions in the world and there may be information asymmetry among stakeholders. Consequently, building health performance cannot be effectively achieved. However, previous studies have launched extensive reviews on green building, and there remains a lack of comprehensive and systematic reviews on healthy buildings. To address the above issues, therefore, this research aims to (1) conduct a thorough review of healthy building research and reveal its nature; and (2) identify the current research gaps and propose possible future research directions. Content analysis using NVivo were applied to review 238 relevant publications. A DNA framework of healthy buildings, which clarifies the characteristics, triggers, guides and actions, was then constructed for better understanding of the nature of them. Subsequently, the application of DNA framework and the directions of future research were discussed. Six future research directions were finally recommended, including life-cycle thinking, standard systems improvement, policies & regulations, awareness increase, healthy building examination, and multidisciplinary integration. This research differs from previous ones because it painted a panorama of previous healthy building research. Findings of this research contribute to reveal knowledge map of healthy buildings, guide researchers to fill existing knowledge gaps, provide a standardized platform for healthy building stakeholders, and promote high-quality development of healthy buildings.
TL;DR: Wang et al. as mentioned in this paper analyzed the concept and connotation of computer cyber security, then studied the main content of computer security protection tech, and finally gave the computer cyber-security protection measures.
Abstract: The continuous deepening of the number and importance of sensitive and key info stored in computer network system has brought severe challenges to the computer cyber security protection tech. It is urgent to upgrade the cyber security protection, so that it can serve and match the healthy development of computer network. Based on this, this paper first analyses the concept and connotation of computer cyber security, then studies the main content of computer cyber security protection tech, and finally gives the computer cyber security protection measures.
TL;DR: In this article , a systematic review of the assessment of marine sustainable development is presented, which is helpful to clarify the characteristics and trends of this study and provide guidance for follow-up research.
TL;DR: In this paper , six empirical studies of the Special Issue applied various types of play (e.g., dramatic play or physical play) in their research, and children's executive functions were also measured with a variety of tasks.
TL;DR: Wang et al. as discussed by the authors identified the competitive advantages of tourist attractions using novel online review datasets and the sentiment analysis method, taking 18 tourist attractions in the Yangtze River Delta as examples.
Abstract: Predicting tourist attraction engagement has gained much attention in the literature. However, the unique elements of tourist attractions that distinguish them from their competitors remain unclear. To fill this gap, this paper identifies the competitive advantages of tourist attractions using novel online review datasets and the sentiment analysis method, taking 18 tourist attractions in the Yangtze River Delta as examples. After identifying high-frequency words in positive tourist attraction reviews and categorizing the attractions into two types, this paper shows that the unique attributes of primary tourist attractions are associated with renown, authenticity, and unique and local landscape, and that intermediate tourist attractions are characterized by renown, authenticity, and unique cultural and historical connotation. Overall, the unique attributes of tourist attractions that make them desirable relate to renown, authenticity, local culture and scarcity. Unique selling point theory is used to explain these four typical characteristics of tourist attractions. This study contributes to theory on identifying unique characteristics by employing standardized and complex procedures. It also enhances understanding of the unique attributes of tourist attractions from a management perspective. The results illustrate how destination managers can develop the competitive advantage of tourist attractions.
TL;DR: In this article , a criteria-based evaluation of four railway station districts (New Jalpaiguri, Siliguri Town, Sukna, and Sukna) and their potential to become the potential Railwayscape was performed.
Abstract: For a long time, it has been argued that the theories and practices devoted to urban planning and management should conform to the fundamental role of planning policies in the production of urban space, but not merely the spatial distribution of the produced services. Towards this wider connotation, this study introduces the notion of Railwayscape, grounded on the theory of ‘The Production of Space’, to examine the role of railway station districts as catalysts of urban development through the social production of urban space. The present research sets out to establish the notion of Railwayscape and apply it in a railway heritage, i.e., the Darjeeling Himalayan Railway (DHR) and its point of inception, Siliguri City, India. Accordingly, a criteria-based evaluation of four railway station districts (New Jalpaiguri, Siliguri Town, Siliguri Junction, and Sukna) in Siliguri and its surroundings was performed. The information regarding the selected four railway station districts is obtained through field observation and key informant consultation, supplemented by published literature and remote sensing data. This evaluation is succeeded by the strengths, weaknesses, opportunities and threats (SWOT) analysis accentuating the potential strengths, weaknesses, opportunities and threats associated with the selected four railway station districts and their prospects to become the potential Railwayscape. The results of this research show that there is no railway station district in Siliguri that can fully meet the demands of the locals and tourists, therefore, relfecting a lack of awareness of the historical values of these districts. The results also indicate that there are significant differences in the relative potentials of railway station districts to become the Railwayscape in urban environment. The outcomes of this research, therefore, are expected to encourage policy-making insitutions and practitioners to realise the ‘place value’ of some railway station districts and their potentials to yield better economic, social and structural virtue for a wide range of actors.
TL;DR: Wang et al. as discussed by the authors analyzed the formation mechanism of institutional resilience based on an Interpretative Structural Modeling and proposed strategies to enhance it, and provided the directions for project managers of MRCPs to improve their institutional systems.
Abstract: With mega railway construction projects (MRCPs) facing various natural disasters and extremely difficult engineering construction tasks, there is an urgent need to improve the resilience management capability of engineering construction to cope with complex and changing internal and external risks. As a key element of the construction management system, the level of institutional resilience directly determines the adaptability of the construction system in the face of crisis. However, the research on the influencing factors and the formation mechanism of institutional resilience is slightly insufficient. Therefore, this paper defines the connotation of institutional resilience in MRCPs on the basis of existing research. Secondly, it codes authoritative journals and expert interview reports related to MRCPs in China by applying a rooting theory. Finally, the paper analyses the formation mechanism of institutional resilience based on an Interpretative Structural Modeling and proposes strategies to enhance it. The results show that the institutional environment is the fundamental influencing factor, institutional implementation, institutional supervision, institutional guarantee and institutional feedback are the direct influencing factors, and institutional stakeholders and institutional design are indirect influencing factors. The mechanism of interaction between the institution and the institutional environment, the mechanism of interaction between the institution and the institutional stakeholders, the mechanism of generation of institutional rules and the mechanism of operation of institutional rules work together to generate institutional resilience. This paper, as an exploratory study on institutional resilience in the field of engineering management, has sorted out the ideas for the subsequent research on institutional resilience in this field and provided the directions for project managers of MRCPs to improve their institutional systems.
TL;DR: Wang et al. as discussed by the authors constructed an evaluation index system of digital economy development level from four dimensions of digital infrastructure, digital industry, digital application level and digital innovation ability, and the combination weighting method of CRITIC-entropy method is used to weight the indicators.
Abstract: The digital economy based on the new generation of information technology has increasingly become an important driving force for economic development, and it is of great practical significance to study the evaluation of the development level of the digital economy. On the basis of summarizing the connotation of the digital economy, the evaluation index system of digital economy development level is firstly constructed from four dimensions of digital infrastructure, digital industry, digital application level and digital innovation ability. Secondly, the combination weighting method of CRITIC-entropy method is used to weight the indicators. Thirdly, the evaluation model of digital economy development level based on grey correlation-VIKOR method is constructed, and the relevant data of 30 provinces in China in 2020 are taken as samples for empirical research. The results show that there is significant regional heterogeneity in the development level of digital economy in China. The development level of digital economy in eastern China is much higher than that in western China. The most important factor affecting the development level of China’s digital economy is the development of software industry. At the same time, digital innovation ability is also an important index to distinguish the development level of digital economy. Finally, corresponding policy suggestions are put forward in response to the problems in the development of China’s digital economy.
TL;DR: In this article , data of government service resources in L city from 2019 to 2021 were used to calculate the efficiency of government resource allocation in each county and region in different periods, particularly by adding the government cloud platform and cloud computing resources to the government service resource data and applying the data envelopment analysis (DEA) method, which has practical significance for the development and innovation of government services.
Abstract: According to the connotation and structure of government service resources, data of government service resources in L city from 2019 to 2021 are used to calculate the efficiency of government service resource allocation in each county and region in different periods, particularly by adding the government cloud platform and cloud computing resources to the government service resource data and applying the data envelopment analysis (DEA) method, which has practical significance for the development and innovation of government services. On this basis, patterns and evolutionary trends of government service resource allocation efficiency in each region during the study period are analyzed and discussed. Results are as follows. i) Overall efficiency level in the allocation of government service resources in L city is not high, showing an increasing annual trend among the high and low staggering. ii) Relative difference of allocation efficiency of government service resources is a common phenomenon of regional development, the existence and evolution of which are the direct or indirect influence and reflection of various aspects, such as economic strength and reform effort. iii) Data analysis for the specific points indicates that increased input does not necessarily lead to increased efficiency, some indicators have insufficient input or redundant output. Therefore, optimization of the physical, human, and financial resource allocation methods; and the intelligent online processing of government services achieved by the adoption of government cloud platform and cloud computing resources are the current objective choices to realize maximum efficiency in the allocation of government service resources.
TL;DR: In this article , the authors used Barthes' Semiotic theory to analyze the meaning of denotation and connotation of the Parasite film and the moral messages that can be taken from this film.
Abstract: Semiotic Analysis on Parasite Film is the title in this study. Parasite is a film that tells about the social inequality that occurs between the lives of two families (the Park and Kim families) who have very different economies. The Park family is a very wealthy family living in large and elite housing while the Kim family is a family whose family members are unemployed poor and live in a small semibasement house at the end of the road. The conditions experienced by the Kim Family made them try to get out of their poor life by tricking the Park Family. The storyline of this film finally made the writer interested in researching this film with the aim of analyzing the semiotic meaning of denotation and connotation as well as taking moral messages that can be taken from this film where the Parasite film has a storyline that describes human life today. This study uses Roland Barthes' Semiotic Theory. The unit of analysis in this research is the film parasite, where the author takes 10 scenes that the writer will examine. The data collection technique that the writer uses is by watching the original film that is neither cut nor censored from start to finish, observing the scenes the author studies, conducting direct interviews with informants and observing the film. This study uses a descriptive research methodology with a qualitative approach. The author also tests the validity of the data by testing the credibility or trust in the data by triangulating data sources and checking the data by conducting interviews with informants directly and asking questions related to films that help research.
TL;DR: Wang et al. as mentioned in this paper proposed key and priorities for the future effectiveness improvement of China's EIA system, and put forward policy recommendations of realistic value for EIA to help China achieve high-standard protection and high-quality development.
TL;DR: Wang et al. as discussed by the authors analyzed the spatial and temporal characteristics of water conservation, soil conservation, carbon sequestration, and habitat quality services and their synergistic/balancing relationships in the Qinba Mountain region from 1990 to 2020 using tools such as the InVEST model, ArcGIS, and Matlab.
Abstract: A scientific understanding of the trade-offs and synergies of ecosystem services is the prerequisite for maintaining the structure, function and health of forest ecosystems, which is conducive to promoting the “win-win” goal of economic development and ecological protection. As an important ecological function area in China, the Qinba Mountain region is responsible for important ecological services such as biodiversity conservation and water conservation, and exploring the trade-offs and synergistic relationships of ecosystem services is important for ecological conservation and high-quality development in this region. This paper analyzes the spatial and temporal characteristics of water conservation, soil conservation, carbon sequestration, and habitat quality services and their synergistic/balancing relationships in the Qinba Mountain region from 1990 to 2020 using tools such as the InVEST model, ArcGIS, and Matlab. The results showed that (1) the overall trend of water connotation, soil conservation and carbon sequestration in the Qinba Mountains is increasing, while the trend of habitat quality is fluctuating and decreasing. The spatial distribution pattern of water conservation and soil conservation services was “high in the southwest and low in the northeast”, while the spatial pattern of habitat quality services was the opposite; the spatial distribution pattern of carbon sequestration services was “low in the middle and high around”. (2) Habitat quality in the Qinba Mountains has a trade-off relationship with water connotation and soil conservation, as water connotation–soil conservation is a synergistic relationship, while carbon sequestration is unrelated to water connotation–soil conservation and habitat quality. (3) The area of habitat quality–water conservation showed a decreasing trend; the area of habitat quality–soil conservation showed an increasing trend; the area of habitat quality-water conservation showed a decreasing trend; the area of habitat quality-soil conservation showed an increasing trend; the area of water conservation-soil conservation service synergistic relationship showed a decreasing and then increasing trend; while the area of carbon sequestration service and In most of the regions, carbon sequestration, soil conservation and habitat quality services are not related to each other.