Aim Remote sensing data have been used in a growing number of studies to directly predict species richness or to improve the performance of species distribution models ( SDM s), but their suitability for stacked species distribution models (S‐ SDM s) remains unclear. In this case study, we evaluated the potential and limitations of remotely sensed data in S‐ SDM s and addressed the commonly observed overestimation of species r...