Abstract: The candidate areas of the Qinghai-Tibet Plateau National Park Cluster (NPC) are key means for optimizing the pattern of protected areas and balancing human-environment relations, which are significant for promoting ecosystem conservation and regional sustainable development. However, the dynamics of human disturbance risk within these areas have not been thoroughly studied. This research constructs a time series of the human disturbance index (HDI) by integrating the human footprint index with the adjustment of livestock carrying capacity, and analyzes the characteristics of human disturbance changes across the overall Qinghai-Tibet Plateau region and the candidate areas of national park cluster from 2000 to 2020 by using the Sen′s slope estimation and the Mann-Kendall trend test. Based on spatial clustering analysis of disturbance risk distribution, community-scale classification management strategies are proposed to coordinate ecological protection and community development needs. The results indicate that the HDI on the Qinghai-Tibet Plateau exhibits a bimodal non-linear trend, with peaks in 2008 and 2020. High-disturbance areas are mainly located in the northeast, central, and southern regions, with a decreasing spatial pattern to the northwest and southeast. Regions with significant increases in HDI account for 12.82% of the total area of the plateau. Notably, in the candidate areas for national parks such as Sanjiangyuan, Ruoergai, Qilian Mountain, and Qiangtang, which are located east of the Xining-Lhasa line, of which the increased HDI area exceeds one-third. Conversely, in western candidate areas like Gongga Mountain and Mount Everest, regions with significant decreases in HDI exceed 30%. Based on the spatial clustering characteristics of human disturbance at the community scale, this study proposes differentiated classification management measures for communities involved in national parks.