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Securing long-term environmental pollution control in a system where local leaders in China hold tenure for only a short term is a challenge. The innovative Chinese accountability audit of natural resources (AANR) pilot project attempts to address this problem by mandating lifelong accountability for local leaders. Using this pilot as a quasi-natural experiment, we explored macro-effectiveness and micro-mechanisms of AANR. The results show that AANR has a positive impact on the environmental investment behaviour of enterprises. This paper finds that AANR stimulates enterprises' investments in the environment by improving the environmental behaviour of local leaders. During mobilisation meetings, local leaders convey signals on environmental matters. Political connections are bridges which convey the signals of mobilisation to enterprises. Those enterprises receive the signals and increase environmental investment. AANR thus promotes collaborative governance by ensuring that the interests of key stakeholders are aligned to prevent pollution. [ABSTRACT FROM AUTHOR]

Land use change is a significant contributor to global environmental change. The expansion of urban areas has increasingly impacted rural ecological environments, in particular the shift from agro-ecosystems to urban ecosystems, leading to alterations in land use patterns. Rural land use has led to economic, social, and environmental problems, including poor economic efficiency, emissions of pollutants, and increased environmental crises. The research of alterations in rural land use and their consequential environmental ramifications has garnered escalating attention, evolving into an indispensable subject of inquiry within pertinent academic disciplines. This study aims to obtain a comprehensive understanding of the ecological impacts of rural land use change. We examined 1237 literature sources through the Web of Science database and conducted a bibliometric analysis utilizing the Bibliometrix tool. Secondly, based on the results of bibliometric analysis, we conducted a review study on the impact of rural land use changes on the ecological environment, clarified the current research status in this field, and looked forward to future research directions. The study's findings indicate that there has been a steady rise in publication volume from 1982 to 2023 and a significant potential for growth. The top three journals by publication volume are Sustainability, Land Use Policy, and Land. (2) A total of 4768 scholars from 95 countries or regions have contributed publications in this domain, notably led by researchers and institutions predominantly based in China. Developed nations, exemplified by the U.S., exhibit a notable citation frequency and robust research prowess within this field. (3) Land use, urbanization, China, ecosystem services, biodiversity, and remote sensing emerge as keywords of elevated frequency within the field, indicative of the scholarly emphasis on these subjects. (4) Studies in this domain are directed towards evaluating the effects on intrinsic components of the environment, including but not limited to soil quality, atmospheric conditions, water resources, and biodiversity. The implementation of sustainable rural land use strategies is essential for the realization of rural development and environmental protection. In future research efforts, the use of remote sensing technology holds immense potential as a robust technical tool for investigating both land use change and rural ecology, offering viable strategies for addressing environmental challenges in specific, localized regions. The results of this study can assist in comprehending the current state and direction of research in this field. [ABSTRACT FROM AUTHOR]

Human activities and global environmental changes have transformed terrestrial ecosystems, notably increasing vegetation greenness in China. However, this greening is less effective across the Hu Huanyong Line (Hu Line). This study analyzes dynamic changes and driving factors of nine vegetation net primary productivities (NPPs) in regions divided by the Hu Line using remote sensing data, trend analysis, and the Geodetector model. Findings reveal that from 2001 to 2022, 38.22% of regional vegetation NPP in China increased, especially in the Loess Plateau, Sichuan Basin, and Northeast Plains, while 2.39% decreased, primarily in the southeastern region and southern Tibet. Grasslands contributed 39.71% to NPP north of the Hu Line, and cultivated vegetation contributed 50.58% south. The driving explanatory power of factors on vegetation NPP on the north side of the Hu Line is generally greater than that on the south side. Natural factors primarily drive NPP changes, with human activities having less impact. Combined factors, particularly climate and elevation, significantly enhance the driving explanatory power (q, 0–1). The joint effects of elevation and precipitation on grassland NPP dynamics (q = 0.602) are notable. GDP's influence on broadleaf forests north of the Hu Line (q = 0.404) is significant. Grasslands respond strongly to land use changes and population density, with a combined effect of q = 0.535. Shrubs, alpine vegetation, and meadows show minimal response to individual factors (q < 0.2). These findings offer insights for devising ecological protection measures tailored to local conditions. [ABSTRACT FROM AUTHOR]

Investigating the variations in leaf stoichiometry among plant common species at different altitudes, along with the factors that influence these variations and the adaptative strategies employed, is of significant importance for understanding biogeochemical cycles amidst global environmental changes. In this research, we measured soil organic carbon and nutrient concentrations, as well as leaf stoichiometry for plant common species at five altitudes (2400–3200 m with an interval of 200 m) within the Qilian Mountains of Northwest China. This study aims to enhance our understanding of how plant common species in mountainous regions exhibit adaptable responses to altitude variations and how potential environmental changes in the future may influence their leaf functions. Results showed that the leaf C:N:P stoichiometry of plant common species varied with increasing altitude. Across altitudes, mean annual temperature (MAT), soil total phosphorus, mean annual precipitation (MAP), soil water content, and soil nitrate nitrogen were the main factors influencing leaf element concentrations of plant common species. However, leaf stoichiometric ratios were mainly determined by MAT, MAP, and soil total nitrogen. The effects of MAT and MAP on both leaf element concentrations and leaf stoichiometric ratios of plant common species were found to be significant. Plant growth in the study area was mainly limited by P. The results not only highlight the adaptive strategies employed by plants, but also contribute to understanding of leaf stoichiometry, and establishing connections between individual plant species and broader plant community composed of these common species. [ABSTRACT FROM AUTHOR]