The development of green agriculture is an effective way to realize the sustainable development of agriculture, which is of great significance for guaranteeing national food security, improving the supply ability of agricultural products, promoting the healthy development of cultivated land, and realizing green development. Since the 18th National Congress of the Communist Party of China, China has proposed the establishment of a green-development-oriented agricultural support system, which intends to reverse the worsening of the agricultural ecological environment; however, in 2019, the input of agricultural chemical fertilizer still exceeded the international limit of the safe application of chemical fertilizer. In recent years, agriculture has surpassed industry to become the largest non-point source pollution industry in China, seriously affecting the rural ecological civilization construction and the advancement of green sustainable development coordinated. To analyze the key factors affecting the development of green agriculture, in this study, logistic binary regression analysis was used to measure the main factors affecting farmers’ green agricultural production willingness and green agricultural production behavior. The results show that a farmer’s age, land type, compensation for land transfer, technical service organization, related training, and economic and technological subsidies had significant effects on their green agricultural production willingness. The age of farmers, number of staff, risk of green agricultural production technology, technical service organization, and economic and technological subsidies were shown to have significant effects on the green agricultural production behavior of farmers, where the different factors influenced the behavior to different degrees. Based on the above findings, it is suggested that the Chinese government should help farmers to carry out agricultural green transformation through technical training, policy popularization, economic subsidies, and educational support.

Urban form plays a critical role in shaping the spatial differentiation of land surface temperature (LST). However, limited research has investigated the underlying driving forces and interactions of multidimensional urban form, specifically considering two-dimensional (2D) urban land use and three-dimensional (3D) buildings, on LST. Furthermore, their multi-scale outcomes remain unclear. Taking the main urban area of Wuhan City as an example, a total of nine indicators—the proportion of administration land (PA), the proportion of commercial land (PB), the proportion of industrial land (PM), the proportion of residential land (PR), the proportion of water area (PE), the building density (BD), the building height (BH), the floor area ratio (FAR), and the sky view factor (SVF)—were selected; this paper used the geographic detector model to investigate the driving force of LST spatial differentiation in winter and summer, as well as the interaction of various influencing factors from a multi-scale perspective. The results showed that (1) the average LST in industrial land was higher than that in commercial land, both in summer and winter. The LST in administration land was higher than that in residential land, while in winter, it is the opposite. (2) The spatial differentiation of summer LST was mainly dominated by 3D buildings, while the spatial differentiation of winter LST was mainly dominated by 2D land use. (3) BD was the leading driving force of LST spatial differentiation in summer, and the interaction between BD and any other indicator showed the most significant explanatory power, which is the same for PM in winter. (4) As scale increased, the explanatory power of 2D urban land use for LST spatial differentiation gradually increased both in winter and summer, while the explanatory power of PE on LST spatial differentiation decreased. The explanatory power of BD, FAR, and SVF on LST spatial differentiation remains basically unchanged. The explanatory power of BH on summer LST spatial differentiation decreases with increasing scale, while the explanatory power of BH on winter LST spatial differentiation remains in a stable state. (5) The interaction among all urban form factors primarily increases as the scale increases, except for the interaction between BH and 2D urban land use in summer, and the interaction between PE and PR in winter. The research can provide scientific decision-making support for the collaborative optimization of multiscale urban forms to improve the urban thermal environment.

The practice of straw returning to agricultural fields (SRF) affects crop yields and greenhouse gas (GHG) emissions. However, the responses of crop yields and GHG emissions vary significantly due to diverse climatic conditions, soil conditions, and field management practices. In this study, we conducted a meta-analysis to assess the effects of SRF on the crop yield and GHG emissions from staple crops in China. Our results indicate that the average increment in the yield of three staple crops is 13.00% with SRF. Moreover, SRF decreased the N₂O emissions compared to those without straw returning in regions with 800–1200 mm of MAP, SOC > 20 g kg^–1, 0.9–1.5 g kg^–1 TN, pHs of 6.5–7.5, and a SRF duration < 3 years, in rice cultivation systems, and with partial SRF. However, irrespective of the climatic conditions, soil properties, or field management practices, SRF increased the CO₂ emissions compared to those without straw returning. Additionally, while SRF significantly increased the CH₄ emissions in paddy fields, it had no discernible effect on the CH₄ uptake in upland fields compared to that without straw returning. These findings offer valuable insights for optimizing straw management practices and reducing GHG emissions in farmland ecosystems.

Land resources are essential natural resources and strategic economic resources for human survival and development. However, human improper use has brought unprecedented pressure and challenges to the ecosystem. Therefore, the assessment and analysis of land ecological security status and the identification and diagnosis of obstacles affecting land ecological security are helpful to avoid land ecological security problems caused by improper land use at the source and provide a theoretical basis for the sustainable use of land resources and the construction of ecological civilization in China. Based on the data from 2006 to 2020, this study constructed the land ecological risk-evaluation index system and land ecological health-evaluation index system. AHP, entropy method, combination weighting method, TOPSIS model, Boston matrix and obstacle degree model were used to assess the land ecological security situation in Nanyang City and to analyze the obstacle factors. The results show the following: (1) during the study period, the land ecological risk value of Nanyang City exhibited a Kuznets inverted “U” curve change, while the land ecological health value showed a “U” curve change; (2) the overall level of land ecological security in Nanyang City has gradually improved, with a security level pattern of “relatively safe (2006–2020)–unsafe (2011–2016)–relatively safe (2017–2019)–safe (2020)”; (3) the main obstacle factors of land ecosystem were the following: erosion area, sewage discharge, area of waterlogging control, grain sown area, coverage of urban green built-up area and farmland effective irrigated area.

The original intention of the tripartite rural land entitlement system was to activate farmland management rights and improve the efficiency of land element allocation. However, information asymmetry is prevalent in a market with imperfect competition. We analyzed the key factors affecting farmland transfer transactions with the structural equation model using survey data from farmers in five major grain-producing counties in Henan province, China. The purpose of our study was to investigate how these factors contribute to the avoidance of a “lemon market” emerging in farmland transfer and can promote the market regulation of farmland transfer operations. This study was conducted under the framework of asymmetric theory analysis with the purpose of discussing the fundamental forces driving farmland transfer transactions. The results show that (1) the economic characteristics of farmers play an important role in the formation of farmland transfer transactions, and their impacts on the willingness to transfer farmland in and out were 0.69 and 0.97, respectively; and (2) among the observable variables, the satisfaction degree of agricultural technology training and the proportion of non-agricultural income had a strong ability to explain the choice of farmland transfer behavior, and the factors that strongly impacted farmland transfer out behavior were physical condition and farmland quality. Thus, we recommend establishing a detailed land transfer pricing system based on the background quality of farmland and increasing the agricultural science and technology education, focusing on dredging information transmission channels to fulfill the new requirements of the three-right separation system on the government’s supervision of farmland transfer to promote effective links between small-scale peasant economies and modern agriculture.

It is vital to conduct urban ecosystem service evaluations and demarcate ecological management zoning to preserve regional ecological security and the spatial optimization of urban functions. This study assessed and examined the spatial distribution characteristics of the supply and demand of five typical ecosystem services in Zhengzhou and their matching pattern. Based on Maslow’s hierarchy of needs, urban ecological management zoning was demarcated to guide the spatial optimization of urban functions. The results showed that most of the ecological goods and services in Zhengzhou were generally provided in the west and south of the city. High-value areas of ecosystem service demand were mainly found in the urban center. There was a definite circle structure of total ecosystem service demand. Carbon sequestration, grain production, water yield, and habitat maintenance in the urban center area indicated an ecological deficit. Soil conservation in most regions was a surplus trend. Zhengzhou was demarcated into five groups of ecological management zoning. Different preferences had an impact on the ecosystem service supply and demand. The rise in living conditions led to an increase in the demand for high-level ecological services. This study can provide an essential theoretical basis and practical assistance for urban space optimization and ecosystem service management.