The supply-demand balance of ecosystem services (ES) plays an important role in mitigating regional ecological risks and optimizing landscape patterns. However, traditional landscape ecological risk (LER) assessments consider the potential loss of ES supply while ignoring the supply–demand coupling relationship, and fails to reveal the actual situation of ecological risk. To fill this gap, taking the Southwest China (SWC) as an example, this study proposed an improved LER assessment method that focuses on ES supply-demand balance, and analyzed the spatio-temporal characteristics of LER and its driving factors in the SWC from 2000 to 2020 by using hotspot analysis, geo-detectors and geographical temporally weighted regression models. The results show that (1) the comparison results with the traditional LER evaluation method demonstrated the improved method's superior rationality and reliability. The overall LER of the SWC over the past 20 years displayed a fluctuating trend, with a spatial clustering pattern of high in the northeast and low in the southwest. (2) Human activities explained the relatively high spatial heterogeneity in high-risk areas, while in low-risk areas it was mainly the interaction of natural factors and landscape structural. Meanwhile, obvious temporal non-stationary was identified in the evolution of the key factors. The positive effects of land use intensity and landscape fragmentation gradually weakened, while the negative effects of Shannon diversity index gradually increased. The results can provide theoretical support and policy recommendations for ecosystem conservation and high-quality urban development in the SWC.
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