Landscape genetics is a relatively new field that integrates population genetics, landscape ecology, and spatial statistics to address the effect of landscape heterogeneity on gene flow between populations. In the past 10+ years scientists have used landscape genetics tools to advance the fields of ecology and evolution and help us understand the relationship between landscape patterns and genetic processes (e.g. gene flow, selection). The goal of this session is to bring visibility to the field of landscape genetics within the Ecological Society of America. This field has grown significantly and has great potential to address fundamental ecological questions, such as: (1) what are the long-term effects of land-use change on populations? (2) what are the effects of anthropogenic changes on the genetic resilience of species? and (3) what management practices improve connectivity (i.e., gene flow) between populations. However, landscape genetics still faces some challenges in the identifying the best methodological strategies that accurately measure these interactions between genetics and the environment. The field would greatly benefit from the interdisciplinary collaboration of ecologist with different specializations. With these goals in mind, the objectives of this organized session are: (1) bring together scientists implementing landscape genetics on a variety of organisms and systems (2) share new methodological techniquesy (3) expose the potential of landscape genetics to answer important ecological questions (4) create a space for exchange and collaboration between ecologists and landscape geneticists within ESA Landscape genetics is playing an important role in furthering our understanding of resilience in ecological systems and populations. As part of ESA 2018 theme “Extreme events, ecosystem resilience and human well-being” the field of landscape genetics offers tools to further our understanding of the effects of landscapes on populations. Thus, informing management and conservation strategies for a changing future.