There is rich literature in reserve site selection for wildlife conservation, but little has investigated the spatial correlation of risks presented by hazards. This paper contributes to the literature by applying the modeling framework developed in Busby et al. (2011), which incorporates spatially correlated risk into the reserve site selection problem, to a Virginia landscape where fine-scale species data is available. In this context, we consider both homogeneous and heterogeneous on-site land development risks. Finally, we apply a budget constraint to our maximal covering species problem to investigate how land cost impacts optimal reserve design and the level of species protection. Using fine-scale species data in the analysis, we identify the types of settings where incorporating spatially correlated risk into conservation reserve design can lead to significant improvements in species protection.