Lecturer: Rafael Wüest Karpati
Abstract: The MoGLI project models the distribution of most woody species present in the Swiss forests using species distribution models. In a first part, I will introduce the modeling approach in some detail, and present the types of variables used in the project that range from rather climatic and topographic predictors to remotely sensed LiDAR data on vegetation structure. I will also present some of the produced distribution maps to illustrate the achieved results, and give an outlook on how these maps will be presented as publicly available maps in a web-GIS application. In a second part, I will show how LiDAR data can be used as a proxy for light availability in the forest and how they can help to improve distribution models.