Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
Dispersal is often viewed as a process on which the landscape has little effect. This is particularly apparent in populations’ genetic and ecological studies, where isolation by distance is generally tested using a Euclidean distance between populations. However, landscapes can be richly textured mosaics of patches, associated with different qualities (e.g. different costs crossing patches) and different structures (shape, size and arrangement). An important challenge, therefore, is to determine if accounting for this additional complexity enriches our understanding of the dispersal processes. In this study, we quantify the effect of landscape structure on dispersal distances between 15 populations of the greater white-toothed shrew (Crocidura russula) in a highly fragmented landscape in Switzerland. We use a spatially explicit individual-based model to simulate C. russula dispersal. This model is designed to account for movement behavior in heterogeneous landscapes. We explore the relationship between simulation results and genetic differentiation between actual subpopulations. Finally, we test if simulated dispersal distances are better predictors of genetic differentiation than traditional Euclidean distances. The ecological distances measured by the model show a clear relationship with genetic differentiation between C. russula subpopulations. This relationship is stronger than the one obtained by the usual Euclidean distance.
Andrea Rinaldo, Giorgio Nicoletti
Marine Françoise Jeannine Villaret