A dual-scale framework for understanding ecosystem service patterns, interactions, resistance, and multifunctionality...

Understanding the mechanisms that maintain the stable provision and functionality of ecosystem services (ESs) under global change is essential for safeguarding human well-being and ecological security. However, in the environmentally fragile Qinghai-Tibet Plateau (QTP), the stability and multifunctionality of ESs remain insufficiently explored, particularly regarding their driving pathways and internal association patterns. Here, we developed a long-term dual-scale analytical framework, combining spatial analysis, machine learning-SHAP, and network analysis to reveal the formation and maintenance mechanisms of resistance of ESs (RES) and ESs multifunctionality (ESM). Key findings included: (1) ESs, RES, and ESM exhibited consistent spatial patterns at both grid and ecological function zone (EcoFunction) scales, while ESM showed a declining trend; (2) Landscape patterns were the dominant drivers of RES across scales, with relative importance reaching 29.94%. Climate impacts on ESM shifted from a positive contribution at the grid scale (26.08%) to a negative effect at the EcoFunction scale (38.41%); (3) Human activities and climate exerted the strongest direct and indirect negative effects on RES and ESM, respectively. Landscape patterns and ecological quality provided the strongest positive direct effects on RES and ESM, respectively, and served as core mediators for indirect human activities and climate influences; (4) Carbon storage and habitat quality had the strongest synergy, while their resistance coupling strength peaked at 0.69. This study further proposes differentiated management strategies to promote sustainable ES development on the QTP and advance harmonious coexistence between humans and nature.