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• A practical and feasible protection strategy for EC maintaining in highly urbanized areas was proposed. • Key patches for EC maintaining were identified by using stepping stone and complex network theories. • The protection rate for key patches by the new policies were assessed. Maintaining and restoring ecological connectivity (EC) are important measures of mitigating habitat isolation caused by urbanization. Considering the prominent contradiction of land use in highly urbanized areas, the EC protection measures proposed in the previous studies, such as expanding the ecological sources and widening the ecological corridors, are unrealistic. By using the stepping-stone and complex network theories, this paper simulated the ecological network (EN), evaluated the centrality of each ecological source and stepping-stone, and analysed the network robustness under different damage scenarios, then identified the optimal strategy and key patches for EC maintaining. Meanwhile, this paper evaluated whether the key patches are protected by China's new policies, which are, Ecological Protection Red Line (EPRL) and the Three Lines One Permit (TLOP). The results were as follows: (1) The EN is composed of 53 ecological sources and 291 stepping-stones, with 591 links between them. (2) The network stability can be optimally maintained by prioritizing the protection of stepping-stones with high centrality. (3) The 53 ecological sources and 51 stepping-stones with the highest centrality can ensure the stable operation of the EN, that is, they are key patches for EC maintaining. (4) Compared with EPRL, the protection rate for ecological sources and stepping-stones are significantly improved by TLOP; however, stepping-stones with high centrality require stronger protection. This study enriched the research cases of complex network theory applied in landscape ecology, and provided references for the improvement of policies in the future. [ABSTRACT FROM AUTHOR]

• Ecosystem services are quantified at large scales and long time series in NE China. • The trade-offs and synergies among ecosystem services are characterized. • Human activities are the dominant driving factors of provisioning services. • Synergistic optimization paths of production-ecological functions are proposed. In Northeast (NE) China, the largest commodity grain base and natural forest area in China, both agricultural production and ecological protection require attention. In recent years, land degradation in NE China has increased, seriously affecting the production-ecology synergy. In this paper, four key ecosystem services (ESs) in NE China are quantified: provisioning, water conservation (WC), soil conservation (SC) and sand fixation (SF), and the spatiotemporal evolution characteristics and trade-offs and synergies (T&S) of ESs are analyzed. The driving factors of provisioning services and the characteristics of T&S are considered, and the county zoning scheme and the corresponding production-ecological function synergistic optimization paths are proposed. The results show that (1) the provisioning, WC and SF services in NE China have slightly increased in the past 20 years, and the provisioning in the Greater-Khingan-Mountains-Region (GKMR) and Lesser-Khingan-Mountains-Region (LKMR), the WC in the LKMR, and the SF in the Liao-River-Plain (LRP) have more obviously increased. The SC service has slightly decreased, especially in the Changbai-Mountains-Region (CBMR). (2) The provisioning service in NE China mainly shows a synergistic relationship with WC and SF, accounting for 79.1 % and 62.9 % of the area, respectively, and a trade-off relationship with SC, accounting for 52.54 % of the area. (3) Human activities (HA) are the dominant driving factor of the provisioning service change in NE China, with an impact degree of 62.65 %. The LKMR is an exception, as climate change (CC) dominates. The LRP, Songnen-Plain (SNP) and GKMR have high degrees of HA. (4) The number of synergistic optimized (SO), light optimized (LO) and trade-off limited (TL) counties accounted for 19.0 %, 61.7 % and 19.3 %, respectively. Among them, the SO type counties should prioritize improving provision and grain production capacity, the LO type counties should protect basic farmland and decrease trade-offs between ESs, and the TL type counties should improve ecological functions and strengthen ecological protection and restoration. This paper clarifies the main contradictions of ESs in NE China and provides an important scientific basis for ecological protection and restoration, which is important for ensuring food and ecological security and realizing the ecological and efficient sustainable utilization of black soil. [ABSTRACT FROM AUTHOR]

• Most of China still faces notable water poverty with obvious spatial variations. • Unconventional water use does not always have a positive impact on water poverty. • The impact shows an inverted U-shaped tendency as per capita GDP increases. • Sustainable water management plans should be tailored to local economy. Unconventional water serves as a bridge to water sustainability. However, many developing nations still have a long way to go in terms of unconventional water utilization. Different regional characteristics lead to different consumption capacities for unconventional water. Consequently, more unconventional water use (UWU) may not necessarily be positive for alleviating water poverty. However, there is a significant research gap in this field. This paper aims to answer three key questions: "Whether UWU consistently alleviates water poverty?" "Is this effect spatially heterogeneous?" and "What role do economic factors play in addressing water poverty?" For that, this paper focused on 30 provinces in China, with the sample period spanning from 2006 to 2021. To identify the mechanisms through which UWU alleviates water poverty, this paper employed a panel fixed-effects model using the Water Poverty Index (WPI) as the dependent variable and the square of UWU amount as an independent variable. The results indicate a non-linear impact of UWU on WPI, with the significance of impact influenced by GDP per capita (PGDP). Furthermore, threshold regressions were conducted with PGDP as the threshold variable. The results revealed a double-threshold effect of PGDP in the impact of UWU on WPI, displaying "U" or inverted "U" shape as PGDP develops: When PGDP is less than or equal to RMB 13,574, UWU demonstrates a negative effect on WPI; when PGDP ranges from RMB 13,574 to RMB 53,653, the effect turns positive; however, when PGDP exceeds RMB 53,653, the effect turns back to negative. The findings confirm that more UWU is not always better. Sustainable utilization plans of water resources must be tailored to local conditions, especially considering the unique characteristics of the regional economy. [ABSTRACT FROM AUTHOR]

[Display omitted] • Measure carbon emission inequalities (CEIs) of urban agglomerations under rapid urbanization. • Identify the key factors determining CEIs within the three urban agglomerations. • Account for the differences between adjacent or distant urban agglomerations. • The declining CEI is mainly due to changes in industrial structure and economic development. • CEI in the upper reaches of the YREB increases due to the changes in energy intensity. Increasing countries are articulating ambitious goals of carbon neutrality. However, large inequalities in regional emissions within a country may hinder progress toward a carbon–neutral future, as the unequal distribution of reduction responsibilities among regions could impair just transition and exacerbate uneven development, which necessitates an in-depth understanding of the mechanism of multi-scale carbon inequalities within country, region, and city. Yet, the evolution of carbon inequalities within urban agglomerations and the differences between adjacent or distant urban agglomerations have not been well understood, especially in countries undergoing rapid urbanization. Using the data of 89 cities in China's Yangtze River Economic Belt (YREB) during 2006–2021, this paper quantifies carbon emissions inequality (CEI) at different scales in a systematic regional-urban agglomeration-city hierarchical structure. Then, under the integrated mean logarithmic deviation-logarithmic mean Divisia index (MLD-LMDI) decomposition framework, multi-scale CEIs are perfectly decomposed into six interrelated drivers, i.e., industrial emission structure, energy emission intensity, industrial energy mix, energy intensity, industrial structure, and economic development. The results show that economic development, energy intensity, and industrial energy mix disparities are the main determinants accounting for CEIs at different scales. The decreasing CEI in YREB is mainly due to the changes in industrial structure and economic development, while the energy intensity effect partially hinders the mitigation of CEI. In the upper reaches of the YREB, the energy intensity effect accounts for over 94% growth of CEI during 2006–2021, while the decline in CEIs in middle and lower reaches is primarily caused by the effects of industrial energy mix and industrial structure, respectively. Further spatial decomposition analysis reveals more refined city-level heterogeneous effects and emphasizes the prioritized emission reduction direction for each city. This paper offers implications for reducing carbon inequality and insights into coordinated carbon emissions mitigation at the regional level for a carbon–neutral future. [ABSTRACT FROM AUTHOR]

• From the perspective of spatial cross-sectional data, this study explores causal inference in the ecological environment. • Two primary causal pathways are identified. • The study unveils the intricate mechanisms among diverse factors within the ecological environment system. The ecological environment is closely related to natural conditions, climate change, and human activities. However, existing research predominantly concentrates on evaluating the direct impacts of various factors on the ecological environment, yet lacks an in-depth exploration of their causal relationships and pathways. This paper introduces a new perspective to research in this field by incorporating spatial cross-sectional data analysis methods. The study utilized the 2020 China's High-resolution Eco-Environmental Quality (CHEQ) dataset to evaluate the spatial differentiation characteristics of Ecological Environmental Quality (EEQ) within the western urban agglomeration of Guangdong Province. A framework of "terrain-urbanization-climate" influencing factors was constructed, and the Geographical convergent cross mapping (GCCM) method was employed to infer the causal relationship between EEQ and influencing factors. Additionally, the spatial distribution characteristics of influencing factors on ecological environment quality were studied using the Multiscale Geographically Weighted Regression Model (MGWR). The results indicate that seven influencing factors including Elevation, Population, Precipitation, TEMP, TMMX, TMMN, and Slope have clear causal relationships with EEQ and exhibit bidirectional coupling relationships. There exist complex causal relationships among influencing factors, revealing the interaction mechanisms and causal pathways among multiple factors in the ecological environment system. These analyses enrich our understanding of the intricate and complex relationships between the ecological environment and influencing factors, providing a valuable reference for ecological protection and sustainable development. [ABSTRACT FROM AUTHOR]

• Measure the land dispute intensity (LDI) at the provincial level in China. • The geodetector model, OLS, and SDM models are used to explore the spillover effects of LDI. • Panel threshold model is applied to explore the non-linear relationship between socioeconomic factors and land disputes. Land disputes pose significant challenges to social stability and development. In this paper, land dispute intensity (LDI) is measured at the provincial level in China from 2009 to 2018 and its spatiotemporal evolution characteristics and influencing factors are explored. The ordinary least squares(OLS), spatial durbin model (SDM), geodetector model, and panel threshold model are used to explore the spatial spillover effects of LDI and its potential non-linear relationship with socio-economic factors. The results reveal that LDI is spatially distributed in a decentralized form, with local areas showing the structural characteristics of "single core, multiple clusters". The LDI exhibits a significant positive spatial autocorrelation and follows a "logarithmic" upward trend over time. The urbanization rate (UR), social security expenditures (SSE), and the number of land and resources institutions (NLRI) are important driving forces affecting LDI. The SSE and NLRI have a single threshold effect on the LDI, with a "V" shaped weakening trend, and the UR is an important factor causing nonlinear effects. Interestingly, the effect shifts from inhibition to stimulation when the SSE and NLRI cross the corresponding threshold value. This paper can provide new insights into the governance of land disputes. [ABSTRACT FROM AUTHOR]

Invasive ants threaten China's ecosystems and agriculture. Our review highlights the challenges faced and diverse strategies employed to combat these invaders, emphasizing the importance of international cooperation for safeguarding the environment and public well-being. [Display omitted] • Ecological & Economic Challenges of Exotic Ant Invasion in China. • In-Depth Analysis of China's Struggle with Exotic Ants. • Factors Behind Introduction & Establishment of Exotic Ants. • National Responses: Capacity Building, Research, Legislation. • Addressing Limitations, Enhancing Ant Invasion Strategies. The invasion of exotic ant species in China presents significant challenges to ecosystems, agriculture, and the economy. This paper provides an in-depth analysis of China's ongoing battle with exotic ants, examining the factors contributing to their introduction and establishment. It explores the responses implemented by the decision makers, including capacity building, establishment of research institutions, and legislative measures. Limitations and gaps in the current strategies are identified, highlighting the need for regional collaboration, increased awareness, and strengthened early detection and response systems. Furthermore, the paper emphasizes the importance of conducting research to understand various exotic ant species' ecological and economic impacts, facilitating the development of targeted and effective management approaches. By adopting a comprehensive and coordinated approach, China can mitigate the impacts of ant invasions and safeguard its biodiversity, agriculture, and economy. This analysis underscores the significance of collective efforts in addressing the ongoing battle with exotic ants and preserving the well-being of ecosystems, economies, and the society. [ABSTRACT FROM AUTHOR]

• Integrating ESSD into the socio-ecological systems framework. • Building a Socio-ecological indicators framework to analyze the drivers of ESSD. • The surging demand for public-good contributed to a significant increase in ESV. • The maximum explanatory power of factor interaction for ESV was 99%. The balance between the supply and demand of ecosystem services (ESSD) is important for sustainable regional development. The hilly regions of south China have rich natural resources and are rapidly being urbanized, which significantly impacts sustainable development in the region. Therefore, how to analyze ESSD from the perspective of social ecology is imperative. Ganzhou region, which is a typical hilly region in southern China, as an example, this paper creatively integrated ESSD into the social-ecological system (SES) framework, analyzed the spatial and temporal changes of ESSD in 2005, 2010, 2015, and 2020, and constructed a system of indicators from the SES, and analyzed the driving factors of ESSD, so as to provide a reference for balancing ESSD. Based on the classical SES framework proposed by Ostrom, this study first analyses the social-ecological system profile of the Ganzhou region at the macro-scale and constructs an SES indicator system. The innovation of combining the SES framework and ecosystem services lies in integrating the social and ecosystem perspectives and merging these two concepts to understand better and manage the relationship between humans and the natural environment. It provides a comprehensive analytical approach and decision support tool for achieving sustainable development. Our results demonstrate that: (1) From 2005 to 2020, ecosystem services in the study area were highly valued, lower areas had homogeneous distribution characteristics, total demand displayed spatial differentiation, there were high-value areas in the midwest, and low-value areas were concentrated in the region's boundary. (2) There are obvious supply and demand deficits in the southeast and east of the study area, while supply–demand is equal in the north and supply exceeds demand in other regions. From 2005 to 2020, the overall coupling coordination degree of ESSD in the study area was lower than 0.5, indicating a mild to moderate imbalance. (3) The supply of ecosystem services (ESS) was primarily driven by carbon storage, habitat quality, and water yield, while the demand was primarily driven by forest and grassland areas. Factors related to the ecosystem, resource unit, resource system, social system, governance system, and actor all have experienced two-factor interactions, which can explain up to 99% of ESSD. Based on the SES framework, this paper studies the relationship between ESSD in typical areas of the southern hills to provide a reference for research on ESSD in relevant areas and provide a scientific basis for the Chinese government to evaluate ecological protections and improve compensation policies, which is important for ensuring China's ecological security. [ABSTRACT FROM AUTHOR]

• Urban green spaces have direct and indirect effects on improving residents' health. • The health benefits of urban green spaces exhibit regional heterogeneity. • Economic development weakens the health benefits of urban green spaces. • Environmental regulations can enhance the health benefits of urban green spaces. Urban green spaces have long been cherished as the "lungs of the city", it can not only improve air quality and enhance residents' health. The impact of urban green spaces on air pollution and residents' health has attracted great attention. In this paper, we select 31 provinces in China as research samples and use ArcGIS software to draw spatial distribution maps of urban green spaces, air pollution, and residents' health in China, characterizing their spatiotemporal changes in order to explore whether there is a correlation among the three. On this basis, this paper utilizes panel data of Chinese provincial-level from 2010 to 2020 and conducts empirical tests through a two-way fixed effect model and a threshold regression model. The research findings are as follows: (1) Urban green spaces not only bring environmental benefits, but also health benefits, and the health benefits are greater than the environmental benefits. (2) There is a health risk of air pollution in northern China, and the health benefits of urban green spaces are not significant. Conversely, there is no health risk of air pollution in southern China, and the health benefits of urban green spaces are significant. (3) Although environmental regulations can enhance the health benefits of urban green spaces, the role of environmental regulations in enhancing the health benefits of urban green spaces may be further weakened as the economy develops. [ABSTRACT FROM AUTHOR]

• Adopting ecological agricultural technologies is an effective way to achieve sustainable agriculture. • The ecological effect of digital economy empowerment should be emphasized. • We analyze how farmers' participation in the digital economy affects their adoption of ecological agricultural technologies. • The treatment effect model is used to address the endogeneity issue. • Farmers' participation in the digital economy can promote ecological agricultural technologies adoption. Adopting ecological agricultural technologies (EATs) is an effective way to guarantee food security and protect the environment. With the advancement of the digital village strategy, the continuous integration of the digital economy with the rural economy has gradually become an emerging driving force for sustainable agriculture. However, few studies have examined the impact of farmers' participation in the digital economy in different links of the agricultural industry chain on EATs adoption from a micro perspective. Using data from 2,825 grain farmers from the 2020 China Rural Revitalization Survey, this paper applies the treatment effect model and the mediating effect model to empirically analyze the impact and mechanism of participation in the digital economy on farmers' EATs adoption from an ecological effect perspective. This paper characterizes farmers' participation in the digital economy in terms of digital production, digital sales, and digital finance. The results show that participation in the digital economy significantly promotes farmers' EATs adoption. The sub-dimensional test found that participation in digital production, digital sales, and digital finance significantly promotes farmers' EATs adoption. The above findings remain robust after a series of robustness tests, such as changing the estimation method and replacing the dependent variable. Mechanism analysis shows that participation in the digital economy, especially digital sales and digital finance, could promote farmers' EATs adoption by increasing the demand for agricultural machinery services, improving information availability, and enhancing food safety cognition; participation in the digital production could promote farmers' EATs adoption by increasing the demand for agricultural machinery services. Results of heterogeneity analysis show that the promotion effect of participation in the digital economy on EATs adoption is more substantial among farmers with higher digital literacy and larger cultivated land scales. The findings of this paper provide insights for China and other countries to effectively use digital technology to promote sustainable agriculture under the pressure of achieving sustainable development goals. [ABSTRACT FROM AUTHOR]

• This paper analyzes whether the financial support for grassland ecological protection and restoration has improved the vegetation coverage of grassland. • There is a nonlinear relationship between financial support for ecological restoration and grassland vegetation coverage. • Different fiscal expenditure structure has a heterogeneous response. • The degree of fiscal decentralization has a significant positive regulatory effect on the ecological benefits. Grassland ecological restoration is an important cornerstone to maintain the sustainable development of grassland ecosystem. One of the goals of financial support for grassland ecological protection and restoration is whether the ecological benefits of grassland are fully realized, and grassland vegetation coverage is the main index to measure the ecological benefits. This paper aims to analyze whether the financial support for grassland ecological protection and restoration has improved the vegetation coverage of grassland. and then verify whether there is room for improvement in the fiscal effect of grassland ecological protection and restoration? Based on the panel data of 54 animal husbandry and semi-agricultural and semi-animal husbandry counties in Inner Mongolia Autonomous Region of China, this paper adopts a bidirectional fixed effect model and cross-fixed effect model to introduce natural factors affecting grassland vegetation coverage into the model and systematically examines the financial effects of ecological benefits of financial support for grassland ecological protection and restoration. The main findings are as follows: (1) there is a nonlinear relationship between financial support for grassland ecological protection and restoration and grassland vegetation coverage when natural factors are taken into account in the model. (2) different fiscal expenditure structure has a heterogeneous response to the impact of grassland ecological protection and restoration on ecological benefits. (3) the degree of fiscal decentralization and the relative performance of the government have a significant positive moderating effect on the ecological benefits of fiscal support for grassland ecological protection and restoration. [ABSTRACT FROM AUTHOR]

• Examining the problem of capital allocation efficiency in China from the perspective of air pollution. • Constructing a new indicator of capital allocation efficiency, measured using actual capital productivity over potential capital productivity. • Constructing a mechanism for air pollution to affect capital allocation efficiency in terms of innovation activities and human capital accumulation channels. • The effect of air pollution on capital allocation efficiency and its heterogeneity are empirically analyzed. As China seeks to transition to a high-quality economic development model, improving its capital allocation efficiency serves as a means to revitalize the capital stock and facilitate a shift from an investment-driven growth approach to an innovation-driven one. By exploring the relationship between air pollution and capital allocation efficiency, new avenues for promoting high-quality economic development can be identified. This paper develops a theoretical analysis framework that posits the mechanisms by which air pollution affect capital allocation efficiency through innovation activities and human capital channels. Based on the data from prefecture-level cities in China from 2003 to 2019, this paper introduces an innovative method to evaluate capital allocation efficiency. Further, using a panel two-way fixed-effects model to examine the impact of air pollution on capital allocation efficiency and its mechanisms. The findings show that ① the intensification of air pollution reduces capital allocation efficiency and the above findings pass the robustness tests. ② The results of heterogeneity analysis show that there is significant heterogeneity in the effect of air pollution on capital allocation efficiency. The intensification of the air pollution significantly inhibits capital allocation efficiency in inland areas, small and medium-scale cities, after 2013, and in areas with high foreign economic dependence. ③ The results of mechanism analysis shows that the intensification of the air pollution will inhibit capital allocation efficiency by suppressing innovation activities and human capital accumulation channels. [ABSTRACT FROM AUTHOR]

• Established conservation key areas identification methodology. • Conducted conservation Gap analysis combining global data with local characteristics. • Delineated six conservation priority levels for the blank areas of nature reserves. The global system of nature reserves is facing adjustment and restructuring towards the goal of harmonizing ecological conservation with regional development. We use multiple ecoregion data at both global and national scales as ecological indicators to explore the gap areas of China's nature reserves, which can help to build a global network of nature reserve systems and lay a spatial foundation for global biodiversity conservation. This paper comprehensively resorts to the ideas and modeling approaches involved in gap analysis, conservation prioritization analysis and eco-region planning. After identifying in both global and national scales the potential areas with gaps in national nature reserves in China, it proposes conservation priority areas and optimization strategies. The study finds that in a global extent, the areas with the gaps in China cover a large area and are distributed widely, mostly on the both sides of the Tengchong-Heihe Line. The conservation priority areas are concentrated in mid-subtropical humid areas, plateau subtropical sub-humid areas and semi-arid areas, and plateau temperate humid/sub-humid areas. These areas are usually not sufficiently protected due to their diversified landforms, complex ecosystems and lack of protection measures. The results have verified and identified the areas with gaps in the building of Chinese national nature reserve system. They may make a unique and important contribution to global ecological conservation efforts in terms of protected area system optimization and conservation network building. This paper analyses the conservation gaps in China's national nature reserves and proposes conservation priority areas for optimising the layout of the nature reserve network. [ABSTRACT FROM AUTHOR]

[Display omitted] • Construct a correlation model of land use transition and ecological restoration in karst mountain areas of Southwest China. • Reveal the feedback mechanism and coupled correlation model of land use transition and ecological restoration in karst mountain areas of Southwest China. • Use a long-time series of data to explore the evolution of land use transition and ecological restoration in case areas. Land use transition (LUT) impacts regional land use and the ecological environment. To reveal LUT and its ecological effects in karst mountain areas (KMA) of Southwest China, this paper first constructs a correlation model between LUT and ecological restoration in the region and carries out an example verification in the typical KMA, the Huajiang Canyon. The study demonstrates that: (1) LUT has occurred in KMA of Southwest China, mainly, the area of sloping cropland has decreased, and the forest land has increased. Land use patterns have shifted from traditional farming to modernized economic and fruit forestry; (2) The driving forces of LUT in KMA of Southwest China can be summarized into three factors: socio-economic, natural, and policy, among which natural factors are the basic conditions of LUT, socio-economic factors play a decisive role in the process of LUT, and policy factors provide policy guarantee for LUT; (3) LUT in KMA of Southwest China has curbed land degradation, promoted ecosystem restoration, and made a certain contribution making China greener, which is conducive to achieving the goal of sustainable development. This paper explores the characteristics of LUT and its driving forces in KMA of Southwest China from the coupling analysis of LUT and ecosystem, reveals the effects of LUT in KMA of Southwest China, and provides some theoretical references for the balance between high-quality development and ecological protection in KMA of Southwest China from the perspective of LUT. [ABSTRACT FROM AUTHOR]

[Display omitted] • A comprehensive assessment method of cropland abandonment risk based on AHP and PCA was proposed. • The verification results show that the risk assessment method proposed in our article is objective. • The high risk area is mainly distributed in the Lancang and Honghe River Basin. • Suggestions for preventing cropland abandonment are based on dominant factors of abandonment. Assessing the risk of cropland abandonment in mountainous area is essential for ensuring food security. However, the current evaluation indicator system is incomplete, and the reliability analysis of the results is lacking. This paper proposes a spatially comprehensive assessment method of cropland abandonment risk based on AHP and PCA using multi-source data of land use, abandoned cropland, administrative area, population density, GDP, cropland soil information, and climate, and applies the method to Yunnan Province in China. Firstly, 14 indicators were selected from four aspects, including social factors, farming conditions, cropland quality, and climate factors, to construct a three-layer indicator system of "target-criteria-indicator". Fuzzy membership was used to calculate the indicator layer, and then the PCA method was applied to calculate the first principal component for the criterion layer. Finally, the AHP method was used to calculate the weighted superposition of the criterion layer. The proposed method showed good reliability in the study areas. In Yunnan Province, 33.03% of cropland is at high risk of abandonment, 37.52% is at medium risk, and 29.45% is at low risk. The high risk area is mainly distributed in the Lancang River Basin and Honghe River Basin. Social factors were found to play the greatest role in the risk of cropland abandonment in Yunnan Province. Factors such as low population density, large shape coefficient of cropland, and low annual average precipitation were identified as the main drivers of cropland abandonment in this region. The research results of this paper can provide decision-making reference for preventing and controlling cropland abandonment in mountainous areas. [ABSTRACT FROM AUTHOR]

[Display omitted] • A liner positive correlation is revealed between wind farm distance and ecological impacts. • The ecological obstacle points increased 350 % after construction of wind farm. • The proportions of forest around weak points raised from 38 % (50 m range) to 49 % (150 m range). • Protection, restoration, and compensation strategies are proposed according to recession degrees. The wind energy industry is developing rapidly in China with a maximum capacity worldwide. Meanwhile, the stability of the ecological network is challenged by extensive renewable energy expansion. There are still research deficiencies in wind farm ecological impacts at project scale from an ecological restoration perspective. It is of great necessity to monitor the ecological impacts with time going and explore ecological restoration strategies for wind power development. The research case of Zhongying Wind Farm is selected based on investigation and interviews regarding its ecological impact in the prior study. It employs a comparative methodology by comparing the ecological quality before and after the construction of Zhongying Wind Farm. Raw data from Landsat 8, the Digital Elevation Model (DEM), the Normalized Difference Vegetation Index (NDVI), and wind turbine statistics originating from open data platforms are analyzed and visually represented with ArcGIS. This paper establishes an ecological network based on morphological spatial pattern analysis (MSPA) and the Minimum Cumulative Resistance (MCR) model to quantify wind farms' impacts on ecological corridors. The circuit theory and Pajek software are used to identify and categorize the ecological nodes into weak and obstacle points. The results reveal that ecological impacts on ecological corridors decay with distance, reflecting changes in length, connection strength and cumulative values of corridors. While the impacts on ecological nodes depend on nodes' attributes: the number of weak points increased by 18.5 %, and obstacle points increased by 350 %, with their locations shifting from the edges of urban construction sites to the edges of wind farm. Differentiated strategies are proposed according to the impact magnitude of each ecological corridor and node: such as dynamic inspection mechanism, construction prohibition for protection; corridor structure and function recovering, stepping stones addition for restoration; buffer belts, warning radar, and monetary schemes for compensation. This research fills the gap of ecological impact assessment under the challenges of wind energy expansion. It helps to balance wind energy development and ecological restoration at the regional level. [ABSTRACT FROM AUTHOR]

• Pilot Free Trade Zones (PFTZ) can promote green technology innovation efficiency. • Providing reference for developing countries to develop green economy. • Proposing a more holistic index system of green technology innovation efficiency. • The impact of PFTZ exhibits significant spatial heterogeneity. • Market potential affects the green effect of PFTZ. The Pilot Free Trade Zone (PFTZ) policy represents a significant step in China's institutional innovation and broader opening-up, crucial for fostering green and high-quality economic growth. The existing literature has conducted in-depth studies on the economic effects, energy conservation, emission reduction and green innovation of PFTZs, but the effect on green technology innovation efficiency (GTIE) remains underexplored. Institutional innovation in the PFTZs will profoundly affect regional green development, and green innovation, and will certainly affect the regional GTIE. Based on this, this paper uses the city-level data of prefecture-level cities in China from 2005 to 2020 to empirically test the impact of PFTZ establishment on GTIE. First, the Super-SBM model was applied to evaluate the GTIE across 281 Chinese cities. Then, taking the establishment of PFTZs as a quasi-natural experiment, the multi-stage differentially differential model is constructed to empirically assess PFTZ policy's impact on GTIE. The findings indicate that PFTZs can significantly enhance the GTIE. This improvement is facilitated through four pathways: the digital economy, the high-tech industries agglomeration, innovation agglomeration, and talent agglomeration. The results offer strategies for balancing external openness with environmental protection in developing countries and furnish empirical support for creating high-quality development frameworks. [ABSTRACT FROM AUTHOR]

• Propose a methodology for measuring of regional synergistic emission reduction. • Regional synergistic emission reduction networks have a multilevel nested structure. • Explained the evolution characteristics of regional synergistic emission reduction. • Identified driving factors of regional synergistic emission reduction networks. Synergistic regional emission reduction (SRER) is an important part of the strategy to achieve carbon neutrality. In this paper, a system efficiency value-added model is proposed to measure the strength of SRER network relationships for 40,186 sets of city pairs and the SRER levels of 284 cities in China from 2011 to 2021. Subsequently, the evolution characteristics of the SRER network, the spatial and temporal characteristics of urban SRER levels, and the driving factors of the SRER network evolution are further analyzed. The results are as follows: SRER network is shifting from a fan-shaped network pattern of "three-region clustering and sporadic coverage" to a shuttle-shaped nested network pattern of "east-west linkage and multi-region support". Time series analysis found that urban SRER level in China showed fluctuating growth characteristics during the study period. Spatial analysis reveals that the spatial autocorrelation of urban SRER level is decreasing, and the spatial distribution range is expanding towards the southwest. Emission reduction comparative advantages (CAER), green innovation division of labor (GIDL) and urban economic linkages (LCEL) are driver factors of SRER network evolution. This study proposes an evaluation method for the urban SRER level from network relationships perspective. Subsequently, network evolution characterization, spatial and temporal characterization, and driving factor analysis were conducted. The results of the study provide important theoretical guidance and inspiration for grasping the current status and enhancement paths of China's urban SRER level. [ABSTRACT FROM AUTHOR]

[Display omitted] • This paper proposed general laws of rural housing-industry transformation and revitalization. • Complex adaptability system theory is developed to identify the pattern of rural housing-industry transformation. • The pattern of TGRA' rural housing-industry transformation process was identified. • Policy suggestions were given for TGRA of China's rural revitalization. The core of dual circulation in the Three Gorges Reservoir Area (TGRA) and the greening Yangtze River is sustainable development. Reservoir housing-industry coordinate sustainable is extremely important to ensuring a more sustainable TGRA. Here, we investigate the overall characteristics of housing-industry transformation development and rural revitalization path in the TGRA at microscopic perspective. Taking Wutu village (WTV), a historical and cultural rural in the TGRA, as case study area, we also analyze the evolution, stage characteristics, and trends of housing-industry system (HIS) using theoretical analysis and empirical research from the perspective of spatio-temporal-development and complex adaptability system model. The findings reveal that: (1) In the traditional housing-industry separation stage(1978–1998), the development of villagers' self-organization and the positive and correct leadership of the village party branch are the dominant forces for the evolution of HIS in WTV. The adaptive behavior of the main body and the strength of the housing-industry effect are limited, and the evolution of the HIS is in the accumulation stage of quantitative change. (2) In the stage of cooperative transformation of housing-industry (1999–2018), the positive and correct leadership of the village party branch is the dominant force of the evolution of HIS in WTV, and the government's policy support is the main force of the evolution of HIS in WTV. (3) In the stage of modern housing-industry integration (2019 to present), the interaction of multiple subjects is the dominant force in the evolution of HIS in WTV. Multiple entities further adapt to various changes in the external environment, and the system structure and level have taken a qualitative leap. Overall, the evolution of HIS in WTV is a dynamic and continuous process. Based on the evolution stage and driving mechanism of HIS, it is necessary to improve the self-organization and adaptive response and ability of the complex adaptive system in WTV, adapt to the general law of system evolution, and effectively regulate the transformation and upgrading of HIS in WTV. Our research outcomes offer valuable insights for fostering rural transformation, enhancing the housing-industry environment, and ultimately propelling the TGRA towards a more sustainable and prosperous future. [ABSTRACT FROM AUTHOR]

• Dam regulation disturbances influence distribution of planktonic organisms. • Ecological environment status of the upstream was better than middle and downstream. • The negative impact of human interference on the ecological health of the Shaying River is greater than the positive. In multi-dam river systems, human disturbances can significantly disrupt river connectivity, fragment habitats, and harm aquatic ecosystems. Aiming at the comprehensive assessment of the spatial distribution of water ecological health, as well as the investigation of the impacts of human activities on river health, Shaying River in China between 2011 and 2015 was taken as a case study. Data on water environment, ecology, and habitat quality were collected by field investigations and then investigated by correlation analysis and principal component analysis. The SMI-P method was adopted to estimate the water ecological health condition. It was found that oxygen-consuming organic pollutants and nutrient salts were predominantly concentrated in the midstream and downstream sections, leading to severe pollution and degraded aquatic biodiversity. All monitored river sections were classified as the sub-healthy state or worse, while the Huaidian section exhibited the poorest conditions, with 100% of ratings falling into medium and sub-morbid categories. It was concluded that dam regulation, tributary water quality, and seasonal drivers like fertilizer use and river flow discharge, were the primary factors affecting the spatial variability of river ecological health. Furthermore, this paper has proposed a well-suited framework for the assessment of the water ecological health of dam-controlled rivers. This framework can be widely applied to similar river systems, providing valuable insights for effective management and conservation efforts. [ABSTRACT FROM AUTHOR]

• Significantly changes of LAI and GPP mostly occurred in eastern and southern China. • Divergence between LAI and GPP were found in regions with dense vegetation coverage. • The importance of VPD, SM, and PT to vegetation indices increased as latitude decreases. Climate change notably boosts terrestrial hydraulic redistribution pattern, which could directly affect the spatiotemporal evolution characteristics of vegetation productivity. However, the spatiotemporal evolution pattern of long-term hydrometeorological controls of vegetation productivity is still not fully understood. This paper comprehensively explored the impacts of hydrometeorological controls on leaf area index (LAI) and gross primary productivity (GPP) in China during 1982–2015 using both satellite observations and reanalysis. Vapor pressure deficit (VPD), evapotranspiration (ET), precipitation (PT), and soil moisture (SM) were used as representative indicators during investigation. The dynamics of LAI and GPP displayed increasing trends on the whole. And significantly changes mostly occurred in eastern and southern China, accompanied by moderate to dense vegetation coverage. An accelerated increasing trend for LAI could be observed since September 2003 (+0.175 per decade), while the growth rate of GPP (+16.76 g C/m2 per decade) basically maintained stable. In terms of hydrometeorological controls, VPD and ET showed consistently increasing trend and SM presented falling trend in the context of warming climate. Through analysis of feature importance index established by Random Forest, the importance of VPD, SM, and PT obviously increased as latitude decreases, which implied the high sensitivity of vegetation in semi-humid\humid regions to water availability. Additionally, divergence between LAI and GPP can be found in southern Tibet Plateau region and coastal regions, which provides compelling evidence that in the case of high LAI, increasing LAI could weaken the improvement effect on GPP. Findings of this study is expected to promote the understanding of long-term vegetation responses to hydrometeorological variations. [ABSTRACT FROM AUTHOR]

[Display omitted] • Scientometric analysis of MPs in soil ecosystems was performed. • A total of 2210 articles on MPs from 2012 to 2022 were analyzed. • Knowledge bases, trends, and hotspots in MP research were identified. • China was the top country in terms of publications and funding. • The migration of MPs from terrestrial to aquatic systems should be considered in the future. Soil microplastic (MP) pollution is a growing global environmental issue leading to a series of ecosystem problems and functional losses. However, understanding the advances and trends in soil MP pollution research proved to be difficult based on individual studies. Herein, CiteSpace visualization analysis software was used to sort the literature obtained on soil MP research from the Web of Science (WoS) TM core collection database, and bibliometric analysis of publication volume, country/region, keywords and other information was conducted. Results showed that soil microplastics (MP) research had much lower publication volume than hydrological system MP research, and was still in its developing stage. However, the number of research hotspots in soil MP research increased continuously since 2018. Countries such as China, the United States, the Netherlands and Australia have published more papers in this field than other countries, and collaboration among research institutions is strong. The source, pollution status, analysis methods and toxic effects of MPs in soils are current research hotspots. In the future, the focus of MP research in terrestrial ecosystems should shift from ecotoxicology to the impact of MPs on ecosystems and earth system feedback. The bibliometric analysis results of this study can serve as a reference for in-depth studies of the pollution status of MPs in soils. For MP soil pollution research, cross-background, cross-institution, cross-country cooperation and cross-disciplinary roles should be encouraged to accelerate the growth and diversification of the field. [ABSTRACT FROM AUTHOR]

• Ten indicators assessed the ecological health of the Taitema Lake wetland. • The result witnessed a 15.6-fold area increase and a twentyfold vegetation increase. • The wetland health has improved since 2000 but achieved a Good status in 2021. • Wetness increase and water body expansions promote the wetland recovery. The Taitema Lake wetland in the lower reaches of the Tarim River (northwest China) is sensitive to hydrological changes and provides necessary ecosystem functions for biodiversity conservation. Monitoring and evaluating the long-term dynamics of the Taitema Lake wetland is essential for conserving and restoring regional wetland ecosystems. This paper used a dense time series of Landsat images from 1986 to 2021 to map the Taitema Lake wetlands. It analyzed the annual and seasonal variations of the wetlands by ten ecological indicators, which include area extent, vegetation, hydrology, and landscape features. A systematic assessment of the ecological quality of the wetlands over the past 36 years, along with their influencing factors, was conducted from the perspective of wetland health. The results showed that (1) the recovered water areas and the wetlands showed a clear trend of ecological restoration since 2000, accompanied by an increased fragmentation. The total wetland area increased from 69.95 km2 in 1986 to 1164.47 km2 in 2021, with a 15.6-fold increase, and the vegetation area increased twentyfold to 639.84 km2. (2) The wetness in the core zone increased consistently across seasons, coupled with a simultaneous vegetation expansion surrounding the core zone. The areas with increasing wetness levels account for 48 % during winter and spring, and the areas with vegetation expansion account for 81 % and 72 % in summer and autumn, respectively. (3) The wetland ecological health status recovered to a "Good" level in 2021 and has not reached the "Excellent" status. The expansion of the water body is the primary driver behind the promotion of wetland ecological recovery. Small water bodies within the area range of 0.05 to 0.1 km2 notably exhibited the most stimulating effects on the wetlands. Thus, increasing the count of smaller water bodies helps rehabilitate vegetation growth and mitigating the water supply's stress to sustain large lacustrine bodies. [ABSTRACT FROM AUTHOR]

• Net carbon sink efficiency is used to measure carbon neutral performance. • A spatial spillover effect existed between urbanization and net carbon sink efficiency across counties. • Being surrounded by highly urbanized units resulted in positive effects on a unit's net carbon sink efficiency. • The impact of socioeconomic factors on net carbon sink efficiency is heterogeneous. Reducing carbon emissions and improving vegetation carbon sequestration (VCS) have long been recognized as the key ways to address the aim of carbon neutrality, requiring global effort and typical regional experiences. This paper develops an assessment framework for measuring the net carbon sink efficiency (NCSE) based on the concept of net-zero carbon sink to depict both carbon emission and VCS simultaneously. This paper primarily runs a spatial autocorrelation analysis to explore spatial characteristics of urbanization and NCSE of Yangtze River Delta urban agglomeration (YRD) in China from 2000 to 2020, followed by employs a spatial econometric model to investigate the spatial spillover effect of urbanization on NCSE. The results show that NCSE in YRD exhibits clear spatial disparities, descending from the southern part dominated by mountainous hills to the flatter northern region. The spatial evolutionary trend of urbanization and NCSE has a significant positive correlation, manifested as H-H and L-L agglomeration, covering most counties in southeast coastal areas and northern plains, respectively. The NCSE can improve even during the continued urbanization in YRD. Specifically, for every 1% increase in urbanization, NCSE will increase by 0.164%, of which 0.118% in direct and 0.046% in indirect growth, respectively. In addition, GDP per capita, industrial structure, technological progress, road area and direct foreign investment are benefit for NCSE. In contrast, population density, environmental regulation, and built-up area tend to decline NCSE. These findings may help to formulate the urban sustainable development planning and differentiated carbon neutrality policies. [ABSTRACT FROM AUTHOR]

• Measured from the high-quality development of urban–rural economy and lives.Empirically analyze the environmental and income effects of new urbanization. • The industry driving mechanism is based on the analysis of structural effects. • Discuss partial and marginal effects of the new urbanization in stages. High-quality urban and rural development is an essential topic of China's development and has clarified the new direction of urbanization development. Meanwhile, industrial green transformation is an essential industrial support for promoting new urbanization. This paper primarily discusses the economic and environmental effects of the new durbanization on the high-quality development in urban and rural areas, and further evaluates its structural effects from the perspective of green industry-driven growth. This paper conducts econometric research on sample data through breakpoint regression, impulse response, and dummy variable Tobit models. The main conclusions are: (1) In the long run, the new urbanization is not conducive to income balance and pollutant emission reduction between urban and rural area. In the explosive growth stage, new urbanization began to play a "diffusion effect." In the steady deepening stage, new urbanization significantly promoted the reduction of solid waste emissions. (2) Driven by the industrial green transformation, the steady state of new urbanization shows a marginal increase in urban–rural income balance. In contrast, the explosion stage shows the characteristics of a marginal decrease in carbon emissions and wastewater discharge. (3) Based on the diversity of policy transmission, in the transmission path of industrial green transformation, new urbanization has the most prominent impact on the high-quality development of urban and rural. (4) Based on the regional perspective of policy implementation, the "polarization" effect of new urbanization and industrial green transformation on urban and rural income in the eastern and northern coasts is prominent. [ABSTRACT FROM AUTHOR]

• Changes of ecosystem services based on Nature-based solutions were evaluated from 76 screened papers. • Five ecosystem services have improved after the implementation of ecological restoration projects. • Tradeoffs and synergies among ecosystem services had mixed effects. • Natural factors had a greater influence on ecosystem services than socioeconomic ones. Nature-based solutions (NbS), an upgraded version of ecological restoration concept, has developed as an integrated approach to encompass a broad range of actions that protect, restore, or sustainably manage ecosystems to provide benefits to people. However, it is challenging to obtain a thorough understanding of the effectiveness of NbS because of the uncertainty of the assessment in different regions based on ecosystem services. Here, we conduct a synthesis analysis of the effects of ecological interventions on ecosystem quality within China. We systematically analyze 76 studies selected from 275 peer-reviewed papers, which were undertaken at regional scale and published between 2011 and 2022. Average values of ecosystem services before and after the ecological interventions are extracted to quantify the ecosystem changes. Results show that ecological restoration purposefully contributes to the improvements of ecosystem services with an increase in Net Primary Productivity (NPP) of 31% and an increase in soil conservation (SC) of 21%. Effects on water yield (WY), carbon storage (CS) and habitat quality (HQ) are all not significant. Restoration interventions have a mixed effect on ecosystem service trade-offs which may vary by regions. Trade-offs primarily exist between WY and other ecosystem services on the Northeastern Forest Belt and the Southwestern Karst, while synergies mainly exist among NPP, SC and CS on the Loess Plateau and the Qinghai-Tibet Plateau. Moreover, utilizing grey correlation analysis methods, factor analysis reveals that temperature and precipitation are highly correlated with the changes of the five ecosystem services. Natural factors contribute more to the changes of NPP, SC and WY than the human factors. This research is aimed at obtaining an overall perception of the effectiveness of ecological restoration programmes implementation in different regions across China, which will provide references for reducing ecosystem services trade-offs and adjusting the layouts of regional ecological restoration programmes. [ABSTRACT FROM AUTHOR]

• Coupling coordination indicators for pollution and carbon reduction is proposed. • The first time to focus on the issue in cities along the Yellow River Basin. • "East-high and west-low" spatial differentiation characteristics of coupled degree. • "Pollution reduction is hindered and carbon reduction is lagging". • There is a phenomenon of "spatial club" clustering in the coordination degree. Collaborative efforts to reduce pollution and carbon emissions are a notable feature of the current era. Achieving the "pollution reduction" and "carbon reduction" dual-driven new development model is the inevitable requirement and significant practical measure for building a new development pattern and realizing a comprehensive green transformation of economic and social development. The synergistic effects between pollution reduction and carbon reduction (PRCR) have been demonstrated. However, the measurement and quantitative analysis of the coupling coordination degree (CCD) of PRCR have not received enough attention. Therefore, the evaluation index system was constructed based on the scientific connotation of PRCR, and the CCD of PRCR in cities along the Yellow River Basin (YRB) from 2009 to 2018 was measured quantitatively by constructing the coupling coordination model in this paper. In addition, we comprehensively investigated its spatial pattern, distribution characteristics, and evolution trend using ESDA, Kernel density estimation, and Markov chain. The primary findings can be summarized as: (1) PRCR levels and their CCD fluctuated and increased in the YRB, with "east-high and west-low" spatial differentiation characteristics, and the coupling phenomenon of "pollution reduction is hindered and carbon reduction is lagging". (2) There is a phenomenon of "spatial club" clustering in the coordination degree of PRCR in the YRB, with most cities in the downstream areas belonging to the type of high-high clustering, while the middle and upstream areas had the opposite type. (3) The CCD of PRCR in the whole and upper reaches of the YRB have transformed from low-level divergence to high-level convergence. (4) Spatial geographic factors have a significant spillover effect on the evolution of the CCD of PRCR, and there is a phenomenon of the "Matthew effect". This paper provides a comprehensive framework for analyzing the synergistic effects between PRCR, and the research findings can also provide insights for other regions. [ABSTRACT FROM AUTHOR]

• This paper constructed a framework for green water assessment in the Loess Plateau gully region using MIKE SHE model. • A new concept and extraction method for green water components was defined based on existing research. • A new concept of the potential of green water was defined in relation to the dried soil layers' classification indicators. • We assessed the dependence on green water components and potential for environmental changes. Exponentially increasing water demand and increasingly uncertain hydrological conditions due to climate change (CC) and land use/cover change (LUCC) undoubtedly pose significant challenges to the sustainability of water systems in arid and semi-arid regions worldwide, and even more so in the rain-fed agricultural area of the Loess Plateau (LP) in China, where green water supports all ecological landscapes and most agriculture. Therefore, an accurate assessment of green water resources is crucial for regional development. This paper constructed a comprehensive framework for assessing green water resources based on the MIKE SHE model, defined a new concept of green water components (GWCs) that can be extracted based on existing studies, proposes the potential of green water (GW P), and present a research methodology. To validate this research framework, we applied it to a typical basin in the LP gully area of the Nanxiaohegou (NXHG) basin. The model was calibrated using runoff data from basin outlet stations to extract four GWCs: high-efficiency green water (GW H), low-efficiency green water (GW L), unused green water (GW U), ineffective green water (GW I). We then assessed the GW P of the basin and analyzed its trends, consistency, and dependence on changing environments. The assessment framework is simple and easy to use, providing valuable information for regional revegetation and basin water management, and is highly recommended for replication in other regions. [ABSTRACT FROM AUTHOR]

• Environmental regulation affects economic growth through green innovation. • When green innovation exceeds the second threshold, the marginal of environmental regulation on economic growth effect is weakened. • The regional specific heterogeneity effect. • The panel threshold models are less commonly used in environmental research, this paper employ these to analyze. Behind the rapid economic growth, the problems of environmental pollution have gradually become prominent. Environmental regulation is an important means for the government to deal with environmental problems in economic development and promote the construction of ecological civilization. Using the provincial data of China from 2005 to 2020, this paper studies the intermediary effect and threshold effect of green innovation in the process of environmental regulation affecting economic growth. The stepwise regression model of intermediary effect shows that environmental regulation promotes green innovation significantly, which further promotes economic growth. The panel threshold regression model shows that when green innovation is below 7.984 (the second threshold), environmental regulation positively affects economic growth, and when green innovation exceeds the second threshold, their marginal effects weaken. Further research shows that there is the regional specific heterogeneity effect. This paper analysis from 4 regions of China. When green innovation exceeds a certain threshold (eastern threshold is 4.382, central threshold is 6.553, western threshold is 5.037, northeastern threshold is 5.347), it decreases the marginal impact effect each region. The research results can provide reference for the government to formulate reasonable policies to balance environment and economy. [ABSTRACT FROM AUTHOR]

• Decoupling state of ecological footprint in 30 province of China is analyzed. • There are four decomposition indicators for decoupling. • Technological factors, and economic factors are important factors driving decoupling. • The methods of realizing environmental sustainability are discussed. Nowadays, economic development and ecological environment protection are difficult to synergize, which poses a challenge to global sustainable development. This paper uses the Tapio decoupling model to evaluate the decoupling between ecological footprint and economic growth, and uses the Logarithmic Mean Divisia Index (LMDI) decomposition methods to identify the driving factors of decoupling at national and provincial levels. There are four driving factors: industrial structural, technological innovation, economic development, and population size. It is found that: (1) The ecological footprint of 28 provinces show an upward trend, with an average increase of 40.26%. Among them, the ecological footprint of three provinces in the northwest region increased by more than 100%, and there is an urgent need to reduce natural resource consumption and ensure resource sustainability; (2) The number of provinces with good decoupling show a change of first declining and then rising. Moreover, the spatial distribution characteristics of the decoupling state are obvious, with the northeastern region in negative decoupling; and (3) Technological innovation plays a positive and leading role in decoupling, with a contribution rate of 0.5402. However, economic development inhibits decoupling, with a contribution rate of 0.3829. According to the results, this paper suggests countermeasures and approaches to promote the decoupling of ecological footprint and economic growth, and establishes three key regional concerns. It provides a basis for further analysis of environmental governance in China. Not only that, the regulatory measures and methods proposed in this study will also help promote the decoupling process of other developing countries in the world. [ABSTRACT FROM AUTHOR]

• We reconstructed a complex wetland with nature-based solutions. • This eco-economic system was driven by renewable emergy flows and high exergy. • The mulberry-related industry provided good economic benefits. • The stable equilibria of the eco-economic coupling mode represented a state of synergistic symbiosis. Nature-based solutions (NBS) are effective approaches for solving ecological and economic problems related to wetland reconstruction, while emergy and exergy are well suited for evaluating reconstructed eco-economic systems. In this paper, we executed a wetland reconstruction project involving a mulberry-fir woodland and dike-pond complex (MFWDPC) with NBS in the water-level fluctuation zone of the Three Gorges Reservoir (TGR), China. We evaluated the coupling mode of this eco-economic system by using emergy and exergy theories. After wetland reconstruction, the emergy density that entered the MFWDPC was 1.48E + 18 sej yr−1 hm−2, in which the naturally renewable flow accounted for 96.31 % of the emergy inflows, and the emergy sustainability index (ESI) for the eco-economic system was 708.88. The exergy and specific exergy were 2.41E + 14 j yr−1 and 2.08E + 08 j yr−1 kg−1, respectively, and the emergy/exergy ratio was 1.55E + 03 for the MFWDPC. In addition, mulberry trees with strong flooding tolerance provided good economic benefits due to the use of these plants in reconstructed eco-economic systems. Our study of NBS for wetland reconstruction helps in understanding the synergistic symbiosis between ecosystems and economic systems, thereby promoting the reconstruction of degraded wetlands in China and other regions. [ABSTRACT FROM AUTHOR]

• The extent of flooding in China is greater than in any other country. • Nearly 66% of China's landmass is submerged by flooding. • Financial toll of flooding accounts for approximately 1.42% of the annual GDP. • Various forms of climatic change contribute to flooding. The extent of flooding in China is more significant than in any other country. Our research reveals that approximately 66 % of China's landmass is submerged by flooding, affecting about 50 % of the population. Furthermore, the financial toll of flooding now accounts for approximately 1.42 % of the annual gross domestic product (GDP), which is almost 40 times higher than the corresponding figure for the United States. We have observed that Zhengzhou city in Henan province, which faced a devastating flood in 2021, received a significant amount of rainfall, specifically a total of 552.5 mm within a 24-hour period. The floods in Henan province in 2021 caused considerable damage, including impacting nearly 15 million people, resulting in almost 400 deaths, damaging over 10,000 square kilometers of agricultural land, causing almost $19 billion in economic losses, and leading to the collapse of over 35,000 households and damage to various properties. In a similar manner, the significant flooding that occurred in southern China in 2020 impacted approximately 7.1 million individuals across eight provinces and resulted in 54 fatalities, the collapse of 6,700 houses, and incurred a direct economic loss of US$3.33 billion. We found that rainstorms have significantly increased to 10 % in the last 60 years in China. In this paper, we delved into exploring the existing published articles, reports, and government and authoritative legal texts to analyze the causes and impacts of flooding in China's flood-prone regions and potential mitigation strategies to reduce the repercussions of distressing flood events. We believe this study will help policymakers by providing new insights while formulating policy to reduce the loss caused by high-level flooding. [ABSTRACT FROM AUTHOR]

• A composite index named GLCDES is developed to dynamically assess the level of Green Low-carbon Circular Development. • The combined-assignment VIKOR model based on game theory is developed to thoroughly estimate the construction level of GLCDES. • Southwest China's Green Low-carbon Circular Development Economic System construction level is examined from 2012 to 2021, showing how the long-side principle governs each region's value. • Selecting and strengthening the long side in combination with its reality is an effective way to improve the construction level of GLCDES. Emission peak and carbon neutrality are critical components of China's overall ecological civilization, and the establishment of a sound Green Low-carbon Circular Development Economic System (GLCDES) is a fundamental countermeasure for solving China's resource, environmental, and ecological problems. This paper used the new development concept as entry points to establish a comprehensive evaluation index system encompassing six subsystems: development dynamics, production and living systems, green benefits, low-carbon benefits, circularity benefits and socio-economic benefits. The combined-assignment VIKOR model, based on game theory, was used to thoroughly estimate the construction level of GLCDES by combining panel data from four southwestern provinces, including Chongqing, Sichuan, Guizhou and Yunnan, from 2012 to 2021. The study discovered that: the construction level of GLCDES in all four southwestern provinces increased over the past ten years, but the increase was not significant, the four development effectiveness indices, including green, low-carbon, circularity and socio-economic, were significantly improved, the development dynamics index was not significantly enhanced, and the index of production and living systems declined in fluctuation from year to year. The construction level of GLCDES between regions was very uneven and can be divided into two echelons, with the gap between Chongqing and Guizhou being particularly obvious. Regions can be categorized into three major categories based on the number of dominant subsystems. According to the above results, the total value of the dynamic comprehensive evaluation of each region is governed by the principle of the long side, which is an effective way to improve the construction level of GLCDES by selecting and strengthening the long side in combination with its reality. [ABSTRACT FROM AUTHOR]

• Quantitatively describes the groundwater recharge process for lakes. • Constructed a model for the groundwater table-lake area relationship in groundwater-dependent lakes in arid regions. • Suggested a groundwater depth of 1.73 m to maintain stable lake area within the Hetao Irrigation District. • Constructed model can serve as an effective reference tool for groundwater management and the protection of lake ecosystems. The groundwater table constitutes a significant factor in sustaining the ecosystems of lakes in arid regions. To elucidate the mechanism by which variations in groundwater tables affect lake areas, this paper presents a case study of a typical groundwater-fed lake in China's Hetao Irrigation District. An analytical model correlating groundwater tables with lake areas was developed to simulate and predict the impact of changes in groundwater tables on lake areas. The findings indicate that the analytical model adeptly simulates the lake area dynamics of the groundwater-fed lake cluster (Taerhu lake cluster) from 1998 to 2018, achieving a Nash-Sutcliffe efficiency (NSE) value exceeding 0.6 and a root mean square error (RMSE) value below 0.1 square kilometers. Maintaining a groundwater depth at 1.73 m ensures the stability of the lake area; a decrease in groundwater depth to 1.93 m would result in a 79.5 % reduction in lake area. The model constructed in this study offers a crucial tool for the ecological protection of lakes and groundwater management in arid regions. [ABSTRACT FROM AUTHOR]

[Display omitted] • Predict the evolution of land use and landscape ecological risk. • Couple landscape ecological risk and ecological security network. • Construct an ecological security network for multiple future development scenarios. • Explore sustainable development scenario for Northeast China. • Make recommendations for ecological security network optimization. The expansion of human activities has significantly increased ecological risks, which threaten the security of ecosystems. This paper takes Northeast China, a national typical ecological barrier region, as a case study to explore the evolution of the ecological environment under various future development scenarios. Considering the complexity of ecological assessments, a comprehensive approach integrating various methods is employed. This includes the Patch-based Land Use Simulation (PLUS) model, Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, a landscape ecological risk assessment index system, the Space Minimum Cumulative Resistance (MCR) model, among others. These methods are used to dynamically assess changes in land use, landscape ecological risk (LER), and the layout of ecological networks. An integrated framework is proposed for identifying, constructing, and optimizing the ecological security network (ESN). The results show that the LER in Northeast China presents a "high in the middle, low around" distribution characteristic. High risk areas are mainly distributed in water bodies and construction lands with high landscape fragmentation and isolation, while low risk areas are primarily in the Northeast forest belt and Inner Mongolia grassland areas with lower landscape vulnerability and separation. From 2000 to 2020, the LER in the Northeast China has increased, primarily manifested in the Greater and Lesser Khingan Range areas in the northern part of the study region. Forecast results indicate significant differences in the evolution of LERs and the layout of the ESN under different socio-economic development scenarios. Under the ecological protection (EP) scenario, the average LER in Northeast China is 0.2215. The area of ecological source lands is 302,405.56 km2, the length of ecological corridors is 179,024.71 km, with 339 ecological nodes and 410 ecological breakpoints identified. Compared with the natural development (ND) and urban construction (UC) scenarios, the EP scenario in Northeast China shows the lowest LER and the most ideal layout of the ESN. This study provides a reference for future land resource optimization and ecological restoration in Northeast China. [ABSTRACT FROM AUTHOR]

• Source-Resistance-Corridor Basic Framework for Identifying Restoration Areas. • Quantifying wetland ecosystem services to extract wetland ecological sources. • Provides solutions for identifying large-scale wetland restoration areas. • Focus on the relevance of wetlands and water systems. In recent years, wetland resources have been threatened by human activities such as mining, agriculture and construction land expansion, and problems such as shrinkage of wetland area and deterioration of water quality have emerged, impeding the exchange of materials between wetlands and reducing the ecological function of wetlands. Water systems are important channels for material exchange between wetland sources, and evaluating the ecological safety of wetland–water system ecological corridors can aid in efficiently delineating ecological restoration areas and identifying ecological problems. In this paper, the ecological safety of wetland–hydrological ecological corridors in the Han River Basin was evaluated, and ecological restoration areas were delineated by adopting the method of "identification of source areas - construction of resistance surfaces - extraction of wetland–hydrological ecological corridors" with the watershed as the research unit. The study identified wetland–hydrological ecological corridors with a total length of 7,589.77 km and delineated 31 sections of wetland–hydrological ecological corridors with a total length of 1,076 km; these corridors were located in the Hanzhong Canyon area, tributaries of the Danjiang River and Tangbai River, and tributaries of the main streams below Danjiangkou. Among them, 8 sections of the primary corridor account for 27 %, 14 sections of the secondary corridor account for 33 %, and 9 sections of the tertiary corridor account for 39 %. This study breaks administrative boundaries, emphasizes the correlation between wetlands and water bodies, highlights the integrity of ecosystems, and establishes a multidimensional systematic restoration methodology of "points, lines and surfaces", which provides guidelines for the long-term planning of ecological corridors of wetlands and water systems in large-scale regions. [ABSTRACT FROM AUTHOR]

• China's sustainable development relies on agricultural trade and carbon emissions. • Carbon emission transfer index in agricultural trade is measured. • Decoupling-recoupling model and integrated prediction model are constructed. • A unified framework for trade, environment and technology is established. Under the new development pattern of domestic and international "dual circulation" in China, studying the relationship among green technology innovation, agricultural trade deficit (ATD) and carbon emission transfer embodied in agricultural trade (ATCT) becomes crucial for achieving coordinated and unified high-quality economic development and efficient environmental protection. Based on this, the paper uses environmental input–output model, "two-stage" decoupling and recoupling model, panel vector auto-regressive model, spatial econometric model and "rolling" Grey-BP neural network prediction model to explore present status of ATD, ATCT and their relationship, driving role of green technology innovation, as well as whether that relationship will be improving in the future. The results reveal the following: (1) China's ATD and ATCT show an increasing trend year by year, and their inter-provincial differences are gradually significant over time. The overall relationship between ATD and ATCT does not display ideally, which makes it necessary to quickly transform that relationship into reasonable and ideal state. (2) Green technology innovation has significant positive "U-shaped" and inverted "U-shaped" local effects on ATD and ATCT respectively, with a reasonable range of ATD reduction while ATCT increase valuing from 0 to 0.290, and has significant positive "U-shaped" spatial spillover effect on both without any reasonable range. The short-term effect of green technology innovation on coordinated promotion between ATD and ATCT is superior to the long-term one. (3) Green technology innovation has a significant regional heterogeneity. Regional differences must be taken into consideration seriously, and the measures adapted to local conditions are crucial. The role of fundamental and progressive green technology innovation has heterogeneity, which means that targeted development and utilization of green technology products are important. (4) Regardless of the time horizon, the relationship between ATD and ATCT will improve, which can provide a key step for coordinated development of economy and environment in agricultural trade. Therefore, in order for China to implement and promote further opening-up, reduce agricultural trade dependence, ensure food security and important agricultural product supply, as well as achieve the unity of high-quality economic development and ecological efficient protection, it is necessary to reasonably reverse trade deficit and increase carbon emission transfer in agriculture. [ABSTRACT FROM AUTHOR]

• Novel analysis framework for the Green Transition of Urban Land Use. • Long-term, wide-area data reveals temporal and spatial differences in transition. • Focus on the spatial convergence of Green Transition of Urban Land Use. • Regional heterogeneity in the spatial convergence effect. Revealing the spatial differences and the convergence mechanisms of Green Transition of Urban Land Use (GTULU) in the context of industrial integration is of great significance for formulating differentiated industrial development strategies, accelerating the process of industrial integration, and exploring synergistic enhancement paths of GTULU. In this paper, 107 prefecture-level and above cities in the Yangtze River Economic Belt (YREB) are taken as research objects, and the entropy value method, exploratory spatial data analysis model and spatial convergence model are comprehensively applied to analyze the spatio-temporal differences and spatial convergence of the GTULU under the background of industrial integration. The study shows that: (1) from 2003 to 2021, the level of GTULU in the YREB has been increasing, with the mean value growing from 0.09 to 0.14, but there are still significant spatial differentiation and spatial correlation characteristics, and the regional imbalance phenomenon of GTULU is more and more obvious as time goes by. (2) The GTULU of the YREB and its upstream, midstream, and downstream regions all exhibit a temporal evolution characteristic of increasing fluctuations. (3) There is no σ-convergence in GTULU in the YREB and its upstream, middle-stream, and downstream regions. However, there are all significant absolute β convergence and conditional β convergence. Moreover, under the combined influence of government management, technological input, industrial structural adjustment, and spatial impact, the convergence rate of the YREB has significantly accelerated, from 1.98% to 2.31%, and the convergence effect exhibits marked heterogeneity. [ABSTRACT FROM AUTHOR]

[Display omitted] • Constructs an evaluation index system of high-quality development of logistics industry. • Improved entropy weight method is used to assess the level of high-quality development. • There are differences in the high-quality development of logistics industry between regions. • GTWR is used to examine the spatio-temporal heterogeneity of influencing factors. Promoting high-quality development of logistics industry (LHQD) becomes imperative to decrease logistics costs in real economy and intensify endogenous power of economic development. In this paper, we construct an evaluation system consisting of 21 indicators in four dimensions: output scale, operation quality, social contribution and green development. Thereafter, we apply improved entropy weight method, kernel density estimation and Dagum Gini coefficient to carve out spatial and temporal distribution, dynamic evolution and regional differences of LHQD. Finally, we adopt geographical and temporal weighted regression (GTWR) model to reveal heterogeneous effect of each selected factor on LHQD. Outcome indicates: (1) The level of LHQD rose at average annual growth rate of 2.776% between 2004 and 2018, however with significant regional and inter-provincial differences. (2) The LHQD in the whole nation and the three major regions were bipolar or multipolar, with distinctive gradient characteristics. (3) The overall difference of LHQD primarily came from deviation in growth among three major regions, and this difference kept expanding. (4) The impact of various factors on LHQD was characterized by spatial and temporal heterogeneity. Specifically, the positive impact of innovation capacity, digitalization level, foreign direct investment, transportation infrastructure and environmental regulation on development of logistics industry gradually increased with time. It was stronger for eastern region than western region. In contrast, industrial agglomeration's stimulus to LHQD had diminished, and the high-value region of its positive impact had shifted from east to center. [ABSTRACT FROM AUTHOR]

• A watershed ESPs construction method integrating MCR model and circuit theory from the perspectives of ecosystem services and ecological sensitivity was proposed. • The ecological sensitivity weights of different regions were applied for constructing the ESPs of the YRB. • The distributions of ECs and EPPs presented spatial differences in the ecological environment of the YRB. • The proposal of optimizing ESPs can promote the ecological protection and high-quality development of the basin. Safeguarding ecological security is one of China's important development strategies. Identifying ecological security patterns (ESPs) is an effective way to collaboratively develop ecological and environmental security in different regions. Currently, studies on the construction of regional ESPs mainly focus on the innovation of ecosystem service functions, ignoring the differences in ecological sensitivities of different ecological environments on a large scale. In this paper, taking the Yellow River Basin (YRB) as an example, six important ecosystem service functions were selected to identify ecological sources (ESs), ecological sensitivity weights were set according to the ecological environment characteristics of different regions, and the ecological resistance surfaces (ERSs) were determined. And the ESPs of the YRB were further investigated based on the Minimum Cumulative Resistance (MCR) model and circuit theory. The research findings indicate:(1) We had identified 218 ESs on the YRB, covering an area of 387,165 km2, which was 19.36 % of the entire study area and highly concentrated in the upstream areas. There were 532 ecological corridors (ECs) identified with a total length of 39,015.95 km, with less distribution in the lower reaches of the YRB. There were 201 ecological pinch points (EPPs) mainly in forests and grasslands. (2) ERSs constructed with different sensitivities weights had a significant impact on the distribution of ECs and EPPs. There were significant variations in the ESPs of the YRB. The upstream areas were notably more secure than the middle and lower reaches, indicating an overall lower level of ecological security. (3) Different ecological sensitivity weights were adopted in different regions, which was more suitable for the construction of ESPs with regional environmental differences. This study provides a wise direction for coordinating the ecological protection and achieving high-quality development in the YRB. [ABSTRACT FROM AUTHOR]

• Explore how environmental regulation impacts the urban land use of eco-efficiency. • An inverted U-shaped relationship between environmental regulation and urban land use eco-efficiency. • The mediation model is used to analyze the mediation effect. • The mediated chain model is used to analyze the conduction pathway. • Environmental regulation improves urban land eco-efficiency mainly through mediating effects. Due to high pollution and low eco-efficiency of urban land use, the sustainable development of urban economy and ecology is restricted. Environmental regulation (EnR) is essential for the government to guide the eco-efficient use of land resources, solve environmental problems, and promote ecological civilization construction. Utilizing a dataset comprising 266 cities in China from 2011 to 2021, this paper studies the intermediary effect of green technology innovation (GTI) and industrial structure optimization (ISO) in EnR affecting urban land use eco-efficiency (ULUEE). The results show that: (1) The EnR significantly promotes the improvement of ULUE, reaching 0.354; (2) EnR also promotes GTI and ISO to 0.653 and 0.189, respectively; (3) From the results of mediating effect, GTI and ISO are mediating variables that affect the level of ULUEE. GTI also affects ULUEE through ISO. From the perspective of the path coefficient of the chain mediating effect, the influence coefficient of path① (EnR → GTI → ULUEE) is 0.107, path② (EnR → ISO → ULUEE) is 0.111, and path③ (EnR → GTI → ISO → ULUEE)) is 0.043; (4) There is an inverted U-shaped relationship between the effects of EnR on ULUEE; (5) In the heterogeneity analysis, the effect of EnR on ULUEE is more evident, but the impact is less pronounced in eastern cities and large cities of scale. [ABSTRACT FROM AUTHOR]

• Synergistic effects of surface and groundwater on desert riparian vegetation were analyzed. • The cautionary depth to groundwater for vegetation expansion in the lower Tarim River is 4.0–5.0 m. • Flooding by surface water (lateral water transfer coverage) acts as the main driver for the expansion of vegetation in arid areas. • A zonal ecological water transfer strategy helps to promote effective ecosystem restoration in the region. Restoring degraded ecosystems in drylands is challenging because of low precipitation and high evapotranspiration. Water availability determines the existence and spatiotemporal distribution patterns of key endangered species struggling to survive in the severely damaged desert riparian ecosystem of the lower Tarim River (LTR) in NW China. Ecological water flow restoration measures with high costs and uncertainties have been implemented since 2000. The key task for scientists is to assess the success and drawbacks of this restoration project and propose specific recommendations for stakeholders to optimize the ecological benefits of the project in a cost-effective manner. In this study, Landsat time-series data from 1990 to 2020 were used to extract vegetation index values from river corridors along the LTR and explore the spatiotemporal patterns of desert riparian forest (DRF) vegetation. Based on land use and surface water data, we extracted the interannual spatial distribution range of vegetation and surface water, and selected several sample plots to demonstrate the influence of surface water and groundwater on vegetation change trends. The study results showed the following. 1) From 1990 to 1999, the vegetation slowly degraded; from 2000 to 2012, the extent of vegetation restoration was approximately 1 km from the river; and from 2013 to 2020, the extent of vegetation restoration at the Yingsu and Karday sections increased to 4.5–6.0 km, while that at the Arghan and Yiganbujima sections remained within 1 km from the river. 2) The vegetation growth rate increased substantially and was spatially heterogeneous when the groundwater level reached 4.0–5.0 m and was influenced by surface water divergence; the average vegetation expansion rates per square km for P 1 –P 4 were 0.017 km2/a, 0.011 km2/a, 0.005 km2/a, and 0.002 km2/a, respectively. 3) Flooding by surface water was the main driver of vegetation expansion when groundwater was stable and elevations in surface vegetation area were often accompanied by the spreading of surface water. Surface water was significantly correlated with vegetation cover and normalized difference vegetation index (NDVI) (Water pixels–Vegetation cover [P 1 : R2 = 0.57, P < 0.001; P 2 : R2 = 0.45, P < 0.01]; Water pixels–NDVI [P 1 : R2 = 0.22, P < 0.05; P 2 : R2 = 0.40, P < 0.01]). The increase in surface vegetation has alleviated the desertification process in the LTR, and the survival of the poplar has been mitigated. The results of this paper can help decision makers to formulate reasonable ecological water conveyance strategies and realize sustainable management of DRF ecosystems in arid zones. [ABSTRACT FROM AUTHOR]

• A conceptual framework and model of microagroecosystems were constructed. • Assessed the degree of landscape ecological risk in microagroecosystems. • The human activity gravity of microagroecosystems shifted to lower altitudes. • The ecological vitality of microagroecosystems is increasing. • Clarified micro-spatial human-land relations and development directions. Micro-spatial agroecosystem (AES) changes in karst mountain areas are a response to the human-land relationship of the human activity center. However, the changes and linkages between AESs and landscape ecological risks (LER) from a micro perspective in karst mountain areas (KMA) have not yet attracted in-depth attention from the academic community. This paper proposes the concept of microagroecosystems (MAESs) and constructs the MAES model based on the landscape development intensity (LDI) to evaluate the systematic landscape evolution rules and the LER intensity, which reflects the human-land relationship in KMA. We used the buffer ring with a 200 m cultivation range interval to categorize the MAES model into six models, namely, High-Mid-Low, High-Low-Medium, Medium-High-Low, Medium-Low-High, Medium-High-High, Low-Medium-High and Low-Medium-High, and the different models not only reflect the regional conditions but also represent the different stages of the evolution of AESs in KMAs. We found that AESs in karst mountainous areas are transforming from traditional food crop systems to economic fruit forest ecosystems, and at the same time, the gravity center of human activities is migrating from high to low altitude areas, and the ecological vitality of MAESs is showing a trend of enhancement. In addition, the regions with high altitudes and steep slopes in karst mountainous areas have a single landscape structure and are dominated by traditional food cultivation, while the regions with low altitudes and gentle slopes have a diverse landscape structure and are dominated by modern and sustainable agricultural development. Finally, we reveal that the LER in KMAs shows a trend of initial increase followed by subsequent decrease, the influence of the human-land relationship on the LER in the micro perspective is significant, and the coordination and trade-off between agricultural development and environmental protection is the key direction of development in the future. The study results can provide a reference for the rational allocation of landscape, ecological environment restoration, and optimization of regional human-land relationships in KMAs worldwide. [ABSTRACT FROM AUTHOR]

• The co-agglomeration accentuates haze pollution. • Co-agglomeration has obvious spatial effects on haze pollution. • The pollution effect of co-agglomeration is weakened with the improvement of the economic level. • Technological innovation has an inhibitory effect on the pollution effect of co-agglomeration. The issue of haze in the middle reaches of the Yangtze River urban agglomeration has significant implications for China. Concurrently, co-agglomeration and technological innovation are key factors influencing haze pollution. Using the panel data composed of PM2.5 concentration and other data from 27cities in the middle reaches of the Yangtze River urban agglomeration between 2010 and 2020, this paper empirically investigates the impact of co-agglomeration and technological innovation on haze pollution. From this rigorous analysis, several conclusions crystallize: (1)the co-agglomeration of productive services and manufacturing accentuates haze pollution, showcasing notable regional variances;(2)the haze pollution has a significant positive correlation with the co-agglomeration levels in local and neighboring regions;(3)the negative consequences of co-agglomeration on environments reduce as the agglomeration of productive services and economic development increases;(4)technological innovation significantly moderates the pollution effects of co-agglomeration. [ABSTRACT FROM AUTHOR]

• An ecological risk assessment model of Jiaozhou bay in China is established. • The model is developed based on multi-source satellite and in-situ sample datasets. • The effects of multiple risk sources threatening the ecology are considered. • The risk sources for multiple years are detected using remote sensing images. • The ecological risk situation of Jiaozhou Bay for multiple years is assessed. Healthy coastal area have high ecological service value. However, because of the uncontrolled utilization of marine resources and the discharge of pollutants, the ecological environments of many coastal areas are faced with ecological risks, such as oil spills and Enteromorpha blooms. Therefore, it is of great significance to monitor and assess the ecological risks in coastal areas. The remote sensing technique can be used to obtain frequent and wide-coverage images of the areas of interest, and has become an effective tool to monitor the ecological risks occurring in coastal areas. In this study, taking Jiaozhou Bay in China as the study area, an innovative ecological risk assessment framework was established using multi-source remote sensing images and in-situ sample data, which fully considers the potential harm of oil spills and Enteromorpha blooms on the ecology of the bay. Specifically, the oil spill risk for Jiaozhou Bay from 2017 to 2019 was identified by a deep learning based method from synthetic aperture radar (SAR) images, and the Enteromorpha bloom risk for the corresponding years was identified by a floating algae index (FAI) threshold method from multi-source optical images. Then, using habitat information and ground observation data about the marine species in the bay, environmental vulnerability maps were generated. Finally, a disaster-causing factors and disaster-bearing factors weighted risk assessment model was developed. The risk source monitoring results show that the occurrence frequency of oil spills in Jiaozhou Bay decreased from 2017 to 2019, while the outbreak intensity of Enteromorpha blooms generally became higher. The ecological risk assessment results reveal that the high risk areas of Jiaozhou Bay are mainly around the transportation regions and the ports, with a higher risk degree in the eastern and southern parts. To support our work, the well-trained oil spill detection network model and some information about the oil spill events that have occurred in Jiaozhou Bay are provided in this paper. [ABSTRACT FROM AUTHOR]

• Farmland has mainly been converted into construction land in the Huaihe River Basin. • The supply–demand for agroecosystem services are related to farmland loss rate (FLR). • Urbanization patterns strongly impact supply–demand relationship in different FLR area. China's urbanization has gradually become the dominant factor in farmland loss, but it remains unclear how urbanization impacts the supply–demand relationship of agroecosystem services at different rates of farmland loss, which in turn poses new challenges to the ecological security of farmland. Taking the Huaihe River Basin as a case, this paper analyzes farmland loss from 2000 to 2020, as well as changes in the supply–demand relationship of four types of agroecosystem services: food production, socio-economic security, carbon sequestration, and soil conservation, revealing the driving mechanisms of urbanization on the supply–demand relationship of agroecosystem services in sub-regions with different rates of farmland loss. The results show that: (1) A total of 13588.11 km2 of farmland was converted to construction land from 2000 to 2020, accounting for 75.62 % of the total amount of farmland converted to different land types, and 95.57 % of the total amount of farmland converted to construction land. (2) There was a surplus supply of grain production services and socio-economic security services, while there was a deficit in the supply of carbon sequestration services, and a balance in the supply–demand of soil conservation services. (3) The matching degree of supply–demand for agroecosystem services was lower in the Rapid Loss Area compared to the Medium Loss Area and Slow Loss Area. (4) Urbanization was divided into population, economic, and spatial urbanization. The supply–demand relationships of agroecosystem services were impacted greatly by spatial urbanization in the Rapid Loss Area and by economic urbanization in the Medium Loss Area and Slow Loss Area. [ABSTRACT FROM AUTHOR]

• Carbon emissions from energy consumption of 282 prefecture-level cities in China were calculated. • A new method for calculating carbon emission factors for electricity is proposed. • Extending the Atkinson Index to the application of Carbon Fairness. • Measured the inequality and fairness indicators of carbon emissions from energy consumption at the prefecture-level city level in China. This paper focuses on the conceptualization and quantification of carbon emission inequality and fairness from energy consumption. In order to more accurately measure the carbon emissions generated by electricity consumption in each city, we firstly propose a new method for calculating the carbon emission factor for electricity, and calculates the carbon emissions from energy consumption in 282 prefecture-level cities in China from 2003 to 2019. Through the application of the Theil-Kaya decomposition mechanism and the improved Atkinson index, we conducted an in-depth study of the carbon emission inequality and fairness indicators from energy consumption. The results show that (1) Although China's overall inequality has declined, it remains significant in the western region, with its inequality indicator fluctuating from 0.548 in 2003 to 0.683 in 2019.(2) The decomposition of the drivers of inequality indicators shows that the contribution of GDP per capita to inequality is increasingly being replaced by energy intensity and the energy carbon emission factor, with energy intensity emerging as the main driver, contributing more than 40% to inequality in 2019, both overall and in the three regions.(3) The results for the fairness indicator, on the other hand, show a certain degree of divergence. Further Dynamic Time Warping fitting analysis shows that regardless of how the public's sensitivity to carbon emissions varies, the change trends of the fairness and inequality indicators for carbon emissions in the eastern region show a high degree of convergence, even in the two most extreme cases. The fit is poorest in the western region, but improves significantly if public's sensitivity to carbon emissions increases. (4)To sum up, some policies that are consistent with the context of the times, such as the East-West regional counterparts and the construction of a new type of power system, are worthy of priority consideration by the Government. [ABSTRACT FROM AUTHOR]

[Display omitted] • Eco-environment assessment of 3 756 urban residential quarters in Xi'an, China. • Factors affecting the ecological environment of residential quarters have been detected. • Specific reference construction values for the eco-environment of residential quarters have been proposed. Residential quarters are a critical component of urban areas, which significantly affects people's health and quality of life. In recent decades, the high-density and crowded residential quarters have become the mainstream organizational model of construction in China, because of the rapid and massive urbanization in many cities. This results in the contradiction between the eco-environment needs and the accommodation needs. Therefore, a systematic evaluation of the eco-environment in residential quarters is urgently needed to address the drawbacks of current residential quarters' planning and design. This paper aims to explore ways to improve the eco-environment with residential quarters from the perspective of China. We first used the Remote Sensing Ecological Index (RSEI) to evaluate the eco-environmental quality of 3, 756 residential quarters in the main urban areas of Xi 'an, China. Then, we quantitatively analyzed the landscape patterns of the impervious surfaces in these residential quarters. Finally, we characterized the impacts of residential quarters layout on the ecological environment by using the vegetation coverage (FVC), the normalized difference bare soil index (NDBSI), building density (BD), the residential density (RD), and the population density (PD) as main factors. The results are as follows: (1) Only 20.5 % of residential quarters with good eco-environments were distributed between the Second and Third Ring Road, indicating the need for improvement in creating livable eco-environments. (2) The shape of the impervious surface of excellent ecological quarters is complex and broken, the average patch area is smaller, and the degree of aggregation and combination of patches is lower compared to residential quarters with poor ecological quality. Therefore, it is recommended to reduce the connectivity of the impervious surface to improve the eco-environment of residential quarters. (3) Among the factors affecting RSEI of residential quarters, FVC, and NDBSI contribute more than other factors. For the construction of excellent eco-environments in residential quarters, we suggest that vegetation coverage should be no less than 0.4, the impervious surface coverage should be no more than 0.53, the building density should be between 0.28 ∼ 0.35, residential density should be no more than 0.22, and the population density of residential quarter should be under 0.29. Overall, for open and low-density residential quarters, the living environment can be improved by enriching vegetation and reducing impervious surfaces, while compact, high-density residential quarters can create a livable eco-environment by optimizing the impervious surface landscape patterns. [ABSTRACT FROM AUTHOR]

• Introduce an evaluation approach for the Ecological Service Value of Water (ESV-W). • Improve the assessment of Ecosystem Services Value (ESV) by introducing the Agricultural Price Index (API) into the Equivalence Factor (EF). • Improve the Water Allocation and Simulation Model (WAS) to simulate and quantify the 'natural-artificial' soil water cycle. • Analysis of the ESV and ESV-W in the Yangtze River Basin from 2005 to 2020. This paper introduces an evaluation approach for the Ecological Service Value of Water (ESV-W) by coupling the assessment of Ecosystem Services Value (ESV) with the Water Allocation and Simulation Model (WAS). The proposed method is applied to evaluate ESV and ESV-W in the Yangtze River Basin from 2005 to 2020. Firstly, an improved Equivalence Factor (EF) method is employed to estimate ESV by considering different land use types and service categories. Then, the enhanced WAS model is used to quantify and identify the role of the 'natural-artificial' soil water cycle in supporting the ecological service functions. Finally, by integrating the ESV evaluation system with the WAS model, the evaluation method for ESV-W is established. The results indicated that from 2005 to 2020, the total ESV increased from 4.0 to 5.6 trillion US Dollars, with forests being the primary contributor among land use types (about 52%), and regulating services are dominating among service categories (about 70%). The spatial distribution of the ESV showed a decreasing trend from southeast to northwest in the Yangtze River Basin, while the ESV-W exhibited high values concentrated along the main stream of the upper reaches of the Yangtze River and lower in the middle. The ESV-W of the 'natural' soil water cycle still dominates (over 96%), but the ESV-W of the 'artificial' soil water cycle has been rapidly increasing in recent years. In 2020, the ESV-W per unit water of precipitation, irrigation, and ecological water were 4.0 Dollars/ m 3 , 0.7 Dollars/ m 3 , and 32.4 Dollars/ m 3 , respectively. This study aims to provide references for the protection of water ecosystems and the sustainable utilization of water resources. It also serves as a reference for improving the evaluation system of ESV. [ABSTRACT FROM AUTHOR]

[Display omitted] • We develop a framework to estimate future Flood Regulation Service (FRS) dynamics. • The framework considers the joint impacts of both climate change and urbanization. • Future FRS supply–demand imbalance will continue to intensify. • Future impacts of climate change in Baiyangdian Lake Basin cannot be ignored. • Cities should actively adapt to climate change to reduce flood risks in the future. Estimating the supply–demand relationship's future dynamics and trend of Flood Regulation Service (FRS) is important for preventing flood risks and choose an appropriate future development path. Less attention has been given to assessing the future trends in this relationship under the joint influence of climate change and urbanization. This paper aims to quantify future trends in the FRS supply–demand relationship under the joint impacts of climate change and urbanization. To this end, we took the Baiyangdian Lake Basin as an example and developed a "Climate Change-Urbanization-FRS supply and demand" framework by combining future climate scenarios from the ScenarioMIP (Scenario Model Intercomparison Project) dataset and socioeconomic data from the SSPs (Shared Socioeconomic Pathways) to estimate the FRS supply and demand dynamics during the period from 2020 to 2050. The results show that the framework has a reasonable ability to estimate the FRS supply–demand relationship. The correlation coefficients between estimated supply–demand ratios and the historical values exceeded 0.9. The average FRS supply–demand ratio among the four scenarios shows a significantly downward trend between 2020 and 2050. The FRS is expected to decrease by 0.159 (36.6 %), resulting in the imbalanced area increasing from 38.3 km2 (4.1 % of the whole basin) to 11049.7 km2 (36.2 %). We believe that although urbanization is the dominant factor contributing to the intensified imbalance trend (with a contribution of 71.2 %), influences from climate change also cannot be ignored (with a contribution of 28.8 %). Therefore, adaptation actions to climate change should be actively taken to reduce urban flood risks in the future. [ABSTRACT FROM AUTHOR]