The first individual-level study linking atmospheric CO₂ and heatwave exposures to diabetes and prediabetes risks in China, with BMI partly mediating the CO₂-diabetes association under heatwave conditions.
A critical assessment showing that when high-quality forest inventory data exist, adding optical remote sensing brings only marginal gains in plot-scale AGB estimation accuracy.
A multi-perspective NDVI-GVI framework revealing how urban expansion reshapes the spatial relationships between urban green space and urban morphology in Guangzhou.
Urbanization, characterized by rapid construction land expansion, has transformed natural landscapes and significantly altered river networks in emerging metropolitan areas. Understanding the historical and current conditions of river networks is …
Based on 134 cases of 'entire mechanization + comprehensive agricultural affairs' nationwide and field investigation in Zhejiang Province, this study constructs an agricultural socialized service system model and reveals how production supporting services and factor intensive services jointly drive agricultural industrial upgrade.
Climate change and rapid urbanization have led to increasingly frequent urban flooding, causing substantial losses. While previous studies have examined the impact of land use types on flooding, few studies have explored how the spatial distribution …
Accurate assessments of the historical and current status of eco-environmental quality (EEQ) are essential for governments to have a comprehensive understanding of regional ecological conditions, formulate scientific policies, and achieve the United …
Optimizing urban morphology can help city managers deploy internal carbon reduction strategies. However, due to the numerous factors that influence urban carbon emissions and the complex paths of their effects, existing research findings are diverse …
Rapid urbanization generates substantial demand, use, and demolition waste of construction materials. However, the existing top-down or bottom-up frameworks combining material flow analysis (MFA) and geographic information system (GIS) tend to …
Estimating the aboveground biomass (AGB) at the plot level plays a major role in connecting accurate single-tree AGB measurements to relatively difficult regional AGB estimates. The goal of this study is to determine whether combining machine learning with spatial statistics reduces the uncertainty of plot-level AGB estimates.