The South American subduction zone is characterized by unique features, including long-lived, uninterrupted subduction (e.g., Coira et al., 1982;Maloney et al., 2013;Schellart, 2017), slab sinking to great mantle depths and a very wide along-trench dimension (Figure 1). These factors likely impact on subduction dynamics (e.g., Faccenna et al., 2017;Schellart, 2017) and on the resulting slab geometry (Schellart, 2017), surficial velocities, and natural hazards. Building geodynamic models is key to improve our understanding of the complex South American subduction system. Running 3-D geodynamic subduction models would be an ideal approach to study the subduction zone dynamics. With the continued improvement in computational power (Jadamec, 2016), the development of 3-D geodynamic modeling becomes indeed more realistic. However, despite the powerful computational resources, running 3-D models remain an expensive task as the models can require months or years to complete (e.g., Schellart, 2017), in particular for such a large setting as the South American subduction zone. Therefore, we propose with this study to use 2-D models to do a parametric investigation of several independent physical parameters in order to test their effect on the subduction process and to calibrate these parameters for future modeling in 3D space. The two-dimensional approach is suited for this study since 2-D models well reproduce subduction dynamics at the central section of wide subduction zones, where toroidal mantle flow is minimal (Schellart, 2017(Schellart, , 2020Schellart et al., 2007).The objectives of this paper are twofold: (1) Calibrate independent variables for use in future 3-D modeling by comparing model outcomes with a range of geophysical and kinematic data of the central segment of the South American subduction zone (Bolivian orocline region). In order to find best-fitting values for the tested independent variables, we compare a range of dependent variables with the natural prototype including slab geometry and surficial velocities using tomography, seismology, and a kinematic reconstruction