The goal of this session is to address technical and applied aspects of modeling climate change impacts on conservation targets at regional scales. Recent studies have projected impacts using climate projections done at fairly coarse global and continental scales, or using downscaled climate data that fails to capture ecologically relevant variables. However, projections of ecologically relevant climate variables are needed at finer scales if they are to inform regional and local conservation planning. Likewise, climate impact studies have typically not incorporated the uncertainty associated with climate projections. Uncertainty is inherent in climate change projections as well as models of climate change impacts. Understanding how this uncertainty influences management and conservation planning assumptions is a critical component of the conservation decision making process. This session will cover information on downscaling projections of global climate change models for regional analyses while accounting for uncertainty, application of these climate projections in models of landscape dynamics and species occupancy, incorporating climate-based ecological models into robust conservation planning frameworks under climate change, and case studies of assessments of species vulnerability and management priorities under climate change. As a whole, this session will provide useful information for ecologists and land managers about how to use climate change projections and their associated uncertainties to inform regional conservation actions.