In recent years, as a way to achieve higher agricultural output while reducing the negative impact of agricultural production on the environment, agricultural sustainable intensification has attracted worldwide attention. Under the framework of "connotation definition-measuring method-influencing factor-implementation path", this paper systematically sorts out the main research results in the field of agricultural sustainable intensification. The results show that: (1) The connotation of agricultural sustainable intensification has not been clearly defined. It is widely believed that sustainable intensification has the characteristics of increasing production and reducing environmental damage, and is widely used in agricultural, biological and environmental sciences; (2) The measurement methods and indicators of agricultural sustainable intensification are diverse, and the measurement cases are mainly distributed in Europe, Asia, Africa and America; (3) The influencing factors of agricultural sustainable intensification can be roughly divided into four aspects: socio-economic factors, farmers’ own characteristics and natural factors, among which population pressure is the potential driving force for agricultural sustainable intensification; (4) The most obvious feature of agricultural sustainable intensification is the reduction of the yield gap. The strategy of implementing agricultural sustainable intensification can be attributed to the effective use of inputs and the adoption of sustainable practices and technologies. Therefore, the implementation path can be summarized as enhancing the effectiveness of external inputs to the agricultural system and optimizing the practice and technology mix within the crop production system. Finally, this paper concludes that research on connotation definition, influencing mechanism, different regional models, incentive mechanism for farmers, impact evaluation and system design of agricultural sustainable intensification should be strengthened in future.

Using the Web of Science database, 1498 research articles published between 1900 and 2019 on the subject of farmland abandonment were retrieved. With the help of the SciMAT tool, a theme strategic diagram, overlay map and evolution map represented by keywords were constructed, and the strategic coordinate analysis and data flow analysis methods were used to analyze the research themes, evolutionary states and paths of farmland abandonment in different research time periods. The results show the following: (1) Research on farmland abandonment has rapidly grown in the past ten years, the development of studies on farmland abandonment has become more mature, and the research topics and content have tended to solidify; (2) The research topics of studies on farmland abandonment are mostly centered on forests, patterns, landscapes, land use changes, climate change, etc. The research topics have had strong continuity and few new research hotspots; (3) The study of the ecological environment effect of farmland abandonment is the basic research direction in the field of farmland abandonment and will continue to become a research hotspot; (4) Farmland abandonment has become an important part of the research on land use change and ecosystem processes; (5) The driving force of farmland abandonment includes natural, social and economic factors, among which the socioeconomic factors are the most important driving force, and will continue to be a research hotspot. Finally, this study concludes that the research directions on farmland abandonment in future should strengthen the quantitative assessment of environmental effects of farmland abandonment, information extraction and multiscale simulation monitoring, trend prediction and risk assessment.

In China, the rural human settlement system (RHSS) reflects the relationship between rural people and land but is affected by land use and land cover change (LUCC). Maintaining a harmonious development between RHSS resilience (RHSSR) and LUCC is an important rural development issue. However, the spatial association between LUCC and RHSSR remains unclear, constraining effective land use and rural policymaking. The association between RHSSR and LUCC was assessed from a spatial perspective. Using county-level spatial panel data for Hunan Province, China (2000–2020), an evaluation indicator system was established to measure RHSS and analyze the spatiotemporal evolution of RHSSR using a geospatial analysis and geodetector model. The average RHSSR level increased from 0.158 to 1.406. The RHSSR generally presented a three-level stepped spatial distribution feature of high in the east and low in the west, with a belt-like distribution. Additionally, the RHSSR was consistent with land use intensity (LUI), but there was significant spatial heterogeneity in the spatial relationship between LUI and RHSSR. The evolution of RHSSR occurred through industrial development, medical service improvement, increased income, and environmental protection. This has important implications for future rural development strategies, the sustainable development of rural land, and the integration of RHSS into regional planning.

Alleviating rural poverty plays a critical role in achieving comprehensive rural revitalization. This study selects typical villages in karst rocky desertification poverty-stricken mountainous areas as the research objects and applies fuzzy-set qualitative comparative analysis (fsQCA) and necessary condition analysis (NCA). Using an element–structure–function framework, this paper explores the driving mechanism of the multi-factor linkage of rural regional systems and the revitalization of poverty-stricken villages. The results show that single antecedent conditions are not necessary conditions for the rural revitalization of poverty-stricken villages. There are seven distinct pathways to achieve the revitalization of poverty-stricken villages, which are categorized into function–structure driven types, function–element driven types, and function–structure–element driven types. Each type has different configurations of influencing factors. This study uncovers the complex interaction mechanism among multiple factors behind the rural revitalization of poverty-stricken villages from a systematic perspective, offering insights to guide targeted local policy development.