To evaluate how future warming may affect species overlap, we examined projections of ocean temperature from experimental runs of CM2.6—a high-resolution global climate model developed by the National Oceanographic and Atmospheric Administration’s Geophysical Fluid Dynamics Laboratory. The climate model simulates an annual 1% increase in atmospheric CO2 over the course of 80-years, reaching a doubling of CO2 by year 70. Under the IPCC’s RCP 8.5 emissions scenario, CO2 is predicted to approximately double by 2075 (van Vuuren et al., 2011). The CM2.6 model projects temperature as the change in temperature from the initial year, such that projections are in relative units (ΔºC). We use ΔºC projections for surface and bottom waters for the spring months of March, April and May. To convert projected temperature change (ΔºC) to absolute temperatures (ºC), projected temperature changes were added to the long-term mean climatology in each 0.25°latitude x 0.25°longitude grid cell. The fitted species distribution models were then projected with the CM2.6 sea bottom and sea surface temperatures for each simulated time step (t). Projections were made for each 0.25°latitude x 0.25°longitude grid cell j in the study region while holding species biomass constant at its overall mean and using the mean depth and substrate for each grid cell. Projections were also made with average biomass set equal to 50% and 150% of the historical mean to explore the effect of abundance on projected species occupancy.