The interrelationship between tourism urbanization (TU) and the ecological environment is extremely complex. Some studies have analyzed the interaction between them but ignored the ecosystem services. Therefore, exploring the coupling coordination relationship between TU and ecosystem services value (ESV) is significant. In this research, we established a coupling coordination degree (CCD) model between TU and ESV and used exploratory spatial data analysis (ESDA), spatial variogram model, and obstacle degree model to evaluate the evolution characteristics of CCD and its obstacle factors in the Wuling Mountain area of Hunan Province (WMAHP). The results are as follows: (1) the comprehensive TU level shows an upward trend, and TU levels in the west are generally higher than in the east. The total ESV shows a fluctuating upward trend, and the average ESV is relatively low in the west and southeast. (2) The comprehensive CCD shows an increasing trend, and the coupling coordination relationship has changed from uncoordinated to coordinated in most counties. Spatially, the global spatial autocorrelation and spatial variation degree of CCD are insignificant. Wulingyuan and Yongding are uplift areas, and a subsidence area is in the southeast. It is worth noting that the problem of TU lag generally exists. (3) For the whole area, TU and economy are always the primary obstacle factors in the system and category layer, respectively, but the obstacle degree of the population has gradually increased. At the county level, TU restricts the CCD improvement in most counties, and the proportion of counties where the economy is the primary obstacle in the criterion layer exceeds 60%. Policymakers need to formulate targeted promotion strategies based on the coupling coordination and relative development level between TU and ESV for different counties. This paper provides valuable references for achieving coordinated development between TU and ESV in ecologically fragile areas worldwide.

The value of ecosystem services is an extremely important parameter that reflects regional ecological benefits and resources. Estimating the value of ecosystem services is essential for regional land-use optimization, ecological construction, and biodiversity protection. In this study, Landsat-TM/ETM remote sensing images were used to analyze land-use data in 1990, 2000, 2010, and 2020 of the Yellow River Basin (Henan section), China, defined by natural boundaries. An equivalent factor method was used to construct a model to calculate the ecosystem services value that introduced grain yield, regional difference coefficient, and social development stage coefficient. Thus, land-use changes and evolution of ecosystem services values in the Yellow River Basin (Henan section) in the past 30 years were analyzed. Land use in the basin changed significantly from 1990 to 2020. Except for an increase in area of construction land, areas of other land-use types decreased. Cultivated land area first increased and then decreased, whereas the water area first decreased and then increased. The total value of ecosystem services in the study area fluctuated but increased overall by 43.82 × 108 USD in the past 30 years. Spatially, the total value of ecosystem services was high in the southwest and low in the northeast. Among individual ecosystem service values, water conservation, gas regulation, and climate regulation accounted for a relatively high proportion of the total value. Regulation services were the main ecosystem service functions, followed by support and supply services, with cultural services accounting for the lowest proportion. Sensitivity coefficients of different land types in different periods were all less than one. Therefore, the value coefficients were reasonable, and the results were consistent with the actual situation of the study area. The study improves the method to estimate the ecosystem services value of the basin and also indicates ways to support ecological protection of the Yellow River Basin (Henan section), China.

Exploring the changes of ecosystem services value caused by land use transformation driven by urbanization is crucial for ensuring the safety of the regional ecological environment and for enhancing the value of ecosystem services. Based on the land use remote sensing data during the rapid urbanization development period of Hubei Province from 1995 to 2015, this study analyzed the characteristics of land use/land cover change and land use transformation. The spatial-temporal response characteristics and evolution of ecosystem services value (ESV) to land use transformation driven by urbanization were measured by equivalent factor method, spatial autocorrelation analysis, hot spot analysis and gravity model. We found that: (1) Driven by urbanization, the most significant feature of land use transformation in Hubei Province was the expansion of the built-up land and the significant reduction of cropland and forest, among which 90% of the new built-up land was converted from cropland and forest. (2) This land use transformation became the main source of ESV losses. Especially, the sharp increase of the built-up land from 2010 to 2015, occupying cropland and forest, resulted in ESV losses of nearly USD 320 million. The service capacity of climate regulation, soil conservation, gas regulation and food production undertaken by cropland and forest decreased. (3) The ecosystem services value in the study area showed spatial distribution characteristics of high in the west and low in the middle and east regions. The center of gravity of ESV shifted from northwest to southeast. Due to the sharp increase of the built-up land from 2010 to 2015, the center of gravity shift rebounded. This study can help policymakers better understand the trade-offs between land use transformation and ecosystem services driven by urbanization.

A sound ecosystem is the prerequisite for the sustainable development of human society, and the karst ecosystem is a key component of the global ecosystem, which is essential to human welfare and livelihood. However, there remains a gap in the literature on the changing trend and driving factors of ecosystem services value (ESV) in karst areas. In this study, Guizhou Province, a representative region of karst mountainous areas, was taken as a case to bridge the gap. ESV in the karst areas was predicted, based on the land use change data in 2009-2018, and the driving mechanisms were explored through the gray correlation analysis method. Results show that a total loss of CNY 21.47 billion ESV from 2009 to 2018 is due to the conversion of a total of 22.566% of the land in Guizhou, with forest land as the main cause of ESV change. By 2025 and 2030, the areas of garden land, water area, and construction land in Guizhou Province will continue to increase, whereas the areas of cultivated land, forest land, and garden land will decline. The total ESV shows a downward trend and will decrease to CNY 218.71 billion by 2030. Gray correlation analysis results illuminate that the total population and tertiary industry proportion are the uppermost, among all the driving factors that affect ESV change. The findings in this study have important implications for optimizing and adjusting the land use structure ecological protection and will enrich the literature on ESV in ecologically fragile areas.

Planetary boundaries define the safe operating space of human beings relative to the Earth\'s system, which is of great significance in helping human beings predict environmental safety limits. However, ecological boundaries have not been presented or downscaled to regional levels. Moreover, a method has not been developed to quantitatively measure the gap between the value of the services provided by the ecosystem and the size of the urban population and economy that the ecosystem can carry. Herein, we propose the concept and calculation model of the \"ecological boundary\" to quantitatively assess the ecosystem security gap size transgressed by humans. Ecological boundaries are defined as the maximum population and economic scale that a certain area can support under a certain ecologically productive area. The purpose of this paper is to investigate the ecological boundary in megacities, and Beijing is considered as a specific case. The results show that the consumption of natural resources has transgressed its ecological boundary in Beijing. The direct consequence is that the ecological well-being per capita continues to decrease. Fortunately, with decreases in the ecological footprint and land use/land cover change dynamic degree, the ecological boundary gap is gradually tightening. Moreover, the role of ecological boundaries as early warning signals of undesirable urban ecological environmental changes is discussed, the significance of the monetization of ecological boundaries is described, the factors underlying the ecological boundary gap in the process of accelerating urbanization in China are analyzed, and policy recommendations for resolving the threat to ecological security boundaries by megacities are presented. The primary purpose of our study is provide policymakers with information on the gap between the current well-being of humankind and critical capacity thresholds, which can help determine whether human activities have fallen into an unsustainable state that may result in undesirable eco-environmental changes that could have detrimental or even disastrous consequences for the population of a region.

Exploring the spatiotemporal change characteristics of ecosystem service value (ESV) under the influence of national land space pattern (NLSP) changes is of great significance for promoting the rational use of land resources and the optimization of ecosystems. In this study, Fengdu County in the Three Gorges Reservoir Area was selected as a case study. We analyzed the changes in NLSP using land use data from 1990, 2000, 2010 and 2018. Then, we used the equivalent factor method and exploratory spatial data analysis method to explore the spatiotemporal change characteristics of the ESV of Fengdu County. The results show that: (1) From 1990 to 2018, the changes in NLSP in Fengdu County generally manifested in the transformation of agricultural space into urban space and ecological space; (2) The spatiotemporal change of ESV is a process that positively responds to the increase in ecological space and negatively responds to the expansion of urban space. From 1990 to 2018, the total ESV of Fengdu County showed a trend of continuous growth, with a total increase of CNY 11.10 × 108, and the change rate was 9.33%. The ESV gain area is mainly located along the Yangtze River and the southernmost part of the county, and the loss area is mainly located near the south bank of the Yangtze River; (3) ESV and its changes in Fengdu County have a significant positive spatial autocorrelation. The cold and hot spots of ESV change are mainly distributed along the Yangtze River and to the south of the Yangtze River. Therefore, it is suggested to integrate ESV as an important indicator into the decision-making of national land space planning. At the same time, it is necessary to strengthen the intensive use of urban space and protect the important ecological space from decreasing. Our study results provide useful insights for the development of regional NLS management and environmental protection policies. However, it is worth noting that the results of this paper are more applicable to areas where the terrain is dominated by mountains.

Social development and changes in natural conditions have seriously affected the ecosystem services value (ESV) of wetlands. It is important for social sustainable development and human welfare to identify and evaluate the driving factors that lead to changes in ESVs. Based on the land use data of Northeast China (NEC) from 1980 to 2015, the Emergy method and Logarithmic Mean Divisia Index decomposition analysis (LMDI) was applied to calculate the main ESVs of wetlands and clarify the contributions of different driving factors to ESVs changes. The results showed that the value of provision services (ESVp) and cultural services (ESVc) increased significantly, while the value of regulation services (ESVr) and supporting services (ESVs) decreased. Overall, the ESV of wetlands increased by 7.31 × 1022 solar emjoules (sej), with a growth rate of 127.73%. The most obvious factors driving ESV changes were the wetland supporting factor (△GA), per capita GDP factor (△PG), and protection investment factor (△T). The combined average contribution weight of the three factors was above 50%. From the perspective of driving force category, social-economic development effect had the greatest impact on ESVs, with average contribution weights ranging from 45.18% to 54.59%, followed by human activity effect, average contribution weights ranging from 33.45% to 40.14%, and the influence of natural factor effect was relatively small. The research results would provide a reference for protecting and improving the ESV of the wetland ecosystem.

In the context of rapid urbanization, ecosystem services (ES) losses pose serious threats to sustainability. How to assess ecological risk based on ES value (ESV) has become an urgent problem for sustainable urbanization. However, existing regional ecological risk assessment frameworks ignore important elements, such as the assessment endpoint and uncertainty, weakening their reliability and practicability. In this study, a regional ecological risk assessment framework integrating ESV and uncertainty was proposed by introducing a classical financial indicator, the Sharpe Ratio. We take Hubei Province, Central China as a case and implemented the spatially explicit risk assessment approach based on the methods of the Markov-logistic-CA model, adjusted-based equivalent factor evaluation model, and geographic information system. The results showed that the distribution of expected ecological returns and corresponding uncertainties at county level had a remarkable spatial heterogeneity, and the assessed ecological risk index in Eastern and Western Hubei was higher than that in Central Hubei, indicating that counties in Central Hubei are the priority areas for ecological risk control. Moreover, the expansion of built-up land had the most significant effect on regional ecological risk. This regional ecological risk framework can well integrate the assessment endpoint and dynamic processes of ecological risk. Our assessment framework has potential practical value for ecological risk control and land use planning on ecosystems.

Land use change under rapid urbanization can drastically change terrestrial ecological conditions. This study presents an integrated analysis of land use dynamics and the resultant ecological impacts on sustainable development over the past 25 years (1990-2015) in response to urban development. Remote sensing and geographic information system techniques were employed to examine the spatiotemporal trajectory of land use changes. Based on the analysis of the equivalent factor table for land use types and ecosystem services value (ESV), the value of ecosystem services was calculated in the case study of Fuyang, China. Correlations were identified between ESV and a family of landscape fragmentation metrics. The results showed that the area affected by land use changes represented 33.35% of the total study area and caused a 31.74 million US$·a-1 decrease in ESV from 1990 to 2015. The ESV was spatially imbalanced and generally low in urban areas. Ecological plans for cropland reforestation and urban green projects were effective in slowing ESV losses while urban areas rapidly developed. In addition, total ESV was negatively correlated with edge density (ED), patch density (PD), landscape shape index (LSI), and Shannon\'s diversity index (SHDI) but positively correlated with aggregation index (AI), suggesting that landscape fragmentation had an adverse impact on the overall ESV in Fuyang. Therefore, sustainable land use planning must be integrated with landscape patterns to provide useful guidance regarding the spatial regulation of a given area to protect and improve ecosystem services.