Understanding the temporal evolution of topological features by means of tracking graphs is a common task, often performed using scalar field analysis. However, these graphs are either hard to interpret or capture information at a very high level that is not intuitive to the user. To bridge this gap, we propose persistenceBundles, a hierarchical edge-bundling approach for visualizing tracked features using persistence hierarchies. We demonstrate the effectiveness of our approach using the viscous finger dataset.