Spatiotemporal assessment of ecological quality and driving mechanisms in the Beijing metropolitan area.

ABSTRACT: Climate change and human expansion are primary drivers of ecological degradation in metropolitan areas, underscoring the necessity of examining the complex interplay between environmental factors and ecological quality. This study investigates the spatial-temporal evolution of ecological quality within the Beijing Metropolitan Area (BMA) from 2000 to 2020 and proposes a comprehensive assessment framework integrating machine learning techniques and spatial heterogeneity analyses. Ecological quality is quantitatively evaluated using the Remote Sensing Ecological Index (RSEI), leveraging MODIS imagery, climate data, land use patterns, and soil characteristics. Spatial clustering patterns of ecological quality are identified through RSEI calculations and spatial autocorrelation analyses, while

SUBMITTER: Jin A 

PROVIDER: S-EPMC12003671 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature