A healthy rural ecosystem ensures a win–win situation for both economic growth and ecological conservation. However, the impact of land use changes at the rural level on ecosystem health remains unclear. This study focuses on the rural scale of Zheng–Bian–Luo, analyzing changes in land use from 2000 to 2020. Using the “Ecosystem Vigor-Organization-Resilience-Services” model, the study evaluates the spatiotemporal patterns of ecosystem health. The Patch-generating Land Use Simulation (PLUS) model was employed to simulate land use and ecosystem health in 2035 under three scenarios: Natural Development (ND), Ecological Protection (EP), and Cropland Protection (CP). The findings are as follows: (1) From 2000 to 2020, the area of cultivated land in Zheng–Bian–Luo rural areas decreased, and the area of forest land first decreased and then increased. (2) During the study period, ecosystem health improved as ecosystem vigor, organization, and services increased. Low-value areas of ecosystem health showed a shrinking trend, most notably in Kaifeng. (3) By 2035, under the EP scenario, forest land increased by 76.794 km², while it decreased under the CP and ND scenarios. Construction land showed an increasing trend in all three scenarios, with the ND scenario seeing the largest increase of 718.007 km². (4) In 2035, ecosystem health is projected to decline under the ND scenario due to reduced forest land and increased construction land. The CP scenario showed no significant change in ecosystem health, but the southwestern rural areas of Luoyang improved. The EP scenario saw an overall increase in ecosystem health, highlighting land use optimization as beneficial. Local governments are encouraged to create ecological protection plans balancing ecological and cultivated land protection, focusing on sensitive areas such as the Songshan region and southwestern mountainous areas of Luoyang for coordinated development.

The equitable distribution of basic educational services is crucial for attaining educational fairness and promoting balanced demographic and economic growth. This research leverages point-of-interest (POI) data to analyze the spatial arrangement of basic educational service facilities in the Yellow River Basin of China. Employing kernel density analysis and spatial autocorrelation with a geographic information system tool, this study examines the spatial distribution of these facilities. It also applies geographically weighted regression to identify the primary factors influencing their spatial layout. This study reveals a pronounced disparity between the four downstream and five upstream provinces of the Yellow River Basin in terms of basic educational facility availability. In the downstream provinces, facilities constitute 82.45% of the total, markedly surpassing the level of 17.55% in the upstream provinces. The kernel density analysis shows that areas with a high concentration of educational facilities often align with provincial capitals, including Taiyuan in Shanxi Province, Xi’an in Shaanxi Province, Zhengzhou in Henan Province, and regions around Shandong Province. Significant regional differences exist within the Yellow River Basin. Preprimary, primary, and secondary education facilities exhibit strong spatial clustering, with Moran’s I indices of 0.26, 0.19, and 0.09, respectively. High–high clusters of preprimary education are predominantly found in the western region of the basin, whereas low–low clusters appear in some eastern and northern areas. Primary and secondary educational facilities show high–high clustering in the north. The spatial distribution of these educational facilities is chiefly influenced by the permanent population and the proportion of the tertiary industry. Per capita gross domestic product (GDP) and educational fiscal expenditure play secondary roles in influencing the spatial layout. The results have important practical significance for promoting the equalization of basic education public services and equal educational opportunities for the school-age population in the Yellow River Basin.

Understanding ecosystem services (ES) and human well-being interactions is vital for sustainability, yet the impact of supporting services is often overlooked or considered to be insignificant. This study focused on the oasis region along the northern slopes of the Kunlun Mountains, where a survey was conducted among 986 ethnic minority rural households on the subjective perception of ecosystem services and rural residents’ well-being. We used structural equation modeling to identify the impact of ecosystem services on the well-being of rural residents from ethnic minorities. The results indicate the following: (1) Provisioning (score: 3.57) and regulating (score: 3.52) services are highly perceived; material well-being satisfaction (score: 3.588) exceeds non-material well-being satisfaction (score: 3.451). (2) The personal characteristics of the respondents, including gender, age, education level, family income, and residential location, affect their perceived importance of ecosystem services and their satisfaction with well-being. (3) Provisioning, regulating, and cultural services have a synergistic relationship, with regulating services significantly enhancing provisioning services. (4) Supporting services directly and indirectly boost well-being via provisioning, regulating, and cultural services. To improve rural residents’ well-being, it is essential to raise their awareness of ecosystem services and promote the collaborative governance of these services.

Research on ecosystem carbon sequestration services and ecological compensation is crucial for advancing carbon neutrality. As a public good, ecosystem carbon sequestration services inherently lead to externalities. Therefore, it is essential to consider externalities in the flow of sequestration services. However, few studies have examined intra- and inter-regional ecosystem carbon sequestration flows, making regional ecosystem carbon sequestration flows less comprehensive. Against this background, the research objectives of this paper are as follows. The flow of carbon sequestration services between Henan Province and out-of-province regions is studied. In addition, this study clarifies the beneficiary and supply areas of carbon sink services in Henan Province and the neighboring regions at the prefecture-level city scale to obtain a more systematic, comprehensive, and actual flow of carbon sequestration services for scientific and effective eco-compensation and to promote regional synergistic emission reductions. The research methodologies used in this paper are as follows. First, this study adopts a meta-coupling framework, designating Henan Province as the focal system, the Central Urban Agglomeration as the adjacent system, and eight surrounding provinces as remote systems. Regional carbon sequestration was assessed using net primary productivity (NEP), while carbon emissions were evaluated based on per capita carbon emissions and population density. A carbon balance analysis integrated carbon sequestration and emissions. Hotspot analysis identified areas of carbon sequestration service supply and associated benefits. Ecological radiation force formulas were used to quantify service flows, and compensation values were estimated considering the government’s payment capacity and willingness. A three-dimensional evaluation system—incorporating technology, talent, and fiscal capacity—was developed to propose a diversified ecological compensation scheme by comparing supply and beneficiary areas. By modeling the ecosystem carbon sequestration service flow, the main results of this paper are as follows: (1) Within Henan Province, Luoyang and Nanyang provided 521,300 tons and 515,600 tons of carbon sinks to eight cities (e.g., Jiaozuo, Zhengzhou, and Kaifeng), warranting an ecological compensation of CNY 262.817 million and CNY 263.259 million, respectively. (2) Henan exported 3.0739 million tons of carbon sinks to external provinces, corresponding to a compensation value of CNY 1756.079 million. Conversely, regions such as Changzhi, Xiangyang, and Jinzhong contributed 657,200 tons of carbon sinks to Henan, requiring a compensation of CNY 189.921 million. (3) Henan thus achieved a net ecological compensation of CNY 1566.158 million through carbon sink flows. (4) In addition to monetary compensation, beneficiary areas may also contribute through technology transfer, financial investment, and talent support. The findings support the following conclusions: (1) it is necessary to consider the externalities of ecosystem services, and (2) the meta-coupling framework enables a comprehensive assessment of carbon sequestration service flows, providing actionable insights for improving ecosystem governance in Henan Province and comparable regions.

Investigating the evolution and drivers of multifunctional land use is essential for sustainable land management and regional biological conservation. This research focuses on the Hehuang Valley, where we developed an “ecological-social-production” evaluation system for assessing land use multifunctionality from the perspective of multifunctional landscape. Leveraging Geographic Information System technologies, we conducted a quantitative analysis of spatiotemporal variations in multifunctional land use across the valley in recently twenty years. Correlation coefficients were employed to identify trade-offs and synergies among various land use functions. Additionally, geographical detector and grey relational analysis models were utilized to pinpoint the factors influencing spatiotemporal changes in land use functions during the specified period. The results showed that: (1) During the period, the overall multifunctionality of land use in the Hehuang Valley exhibited an increasing trend. The economic production function of the land showed the highest growth, while the ecological and social functions showed lower growth. (2) In most areas of the Hehuang Valley, there was a positive correlation between social and economic production functions and a negative correlation between social and ecological functions, as well as between economic production and ecological functions. (3) Natural conditions were the main factors of spatial variation of land use comprehensive functions, but human factors, including land use intensity and the rate of farmland conversion to non-agricultural uses, were the primary drivers of temporal changes in multifunctional land use. The findings provide valuable references and scientific support for policymakers in optimizing land use and multifunctional landscape conservation.