Qiuchen Zhu’s research while affiliated with Xi’an University and other places

The ecological and social problems brought about by China’s rapid urbanization process threaten sustainable development. Taking the cities with high and coarse sediment yield in the middle reaches of the Yellow River as the research objects, this study constructed a complex analytical framework composed of urbanization, ecosystem service value (ESV), and human well-being (HBW) subsystems. The equivalent factor method (EFM) was used to evaluate the ESV. The entropy weight method (EWM) and the comprehensive nighttime light index (CNLI) were adopted to assess the level of urbanization and human well-being. Then, coupled coordination degree (CCD) and grey relational modes were developed to reveal the level and major obstacles of synergistic development. The results showed that, from 2000 to 2020, urbanization, ESV, and HWB increased. The average value of CCD grew from 0.34 to 0.56, with higher coordination levels in the northeast and south. The coordinated development is influenced by multiple factors, with the intensity of the driving factors decreasing in the order of industrial structure, population quality, economic drive, government regulation, and scientific and technological support. The results indicate that it is essential to formulate differentiated regionally coordinated development strategies and establish cross-regional cooperation mechanisms to achieve interactive urban economic development, ecological protection, and well-being improvements in the middle reaches of the Yellow River.

This study investigates the spatial-temporal evolution and the interconnectedness of land use/cover change (LUCC) and ecosystem service value (ESV). Such analysis can offer theoretical guidance and support decision-making for sustainable land resource development and ecological preservation in ecologically vulnerable cities within the Loess Plateau-Maowusu Desert transition zone. Utilizing Landsat data spanning 2000–2020, the paper examines the synergistic relationship between ESV and land use intensity in Shenmu City through bivariate spatial autocorrelation and the coupled coordination degree (CCD) model. Our findings indicate that the area of construction land in Shenmu City experienced the most significant change between 2000 and 2020, with a dynamism rate of 76.8%. This shift resulted in a decrease in the total ESV, from RMB 10.059 billion in 2000 to RMB 9.906 billion in 2020. The bivariate spatial autocorrelation analysis reveals a significant positive spatial correlation between ESV and land use intensity, while the CCD levels for both demonstrate a fluctuating yet overall upward trend over the 20-year period. The paper uncovers the spatial-temporal evolution of LUCC and ESV in Shenmu City along with their interconnected dynamics. The research outcomes can contribute valuable insights for reinforcing land resource utilization and promoting sustainable regional development within cities in the Loess Plateau-Maowusu Desert transition zone.