Visualizing complex scientific data and models in 2D can be challenging. The result can be hard to interpret and understand for the general audience, and the model accuracy hard to evaluate even for the experts. To address these problems, we created a workflow that translates data of an ecological model, LANDIS-II, into a high-fidelity 3D model in virtual reality (VR). We combined ecological modeling, analytical modeling, procedural modeling, and VR, to allow users to experience a forest in northern Wisconsin (WI), United States, under two climate scenarios. Users can explore and interact with the forest under different climate scenarios, explore the impacts of climate change on different tree species, and retrieve information from a 3D tree database. The VR application can be used as an educational tool for the general public, and as a model checking tool by researchers.