Maximum Entropy (MaxEnt 3.3.3) methods were used to estimate expected change in suitable habitat for 12 different wildlife species under changing climate along the Rio Grande in New Mexico. Species include: Lucy's warbler, southwestern willow flycatcher, western yellow-billed cuckoo, New Mexican meadow jumping mouse, Hispid cotton rat, long-legged bat, Occult bat, Yuma bat, black-necked gartersnake, western painted turtle, american bullfrog, and northern leopard frog. These species were selected because their distribution is tied to a habitat or feature characteristic important to multiple species. Models of suitable habitat for each species are based on observation data from collection and survey samples taken from 1970 through 2013. MaxEnt related species' presence to climate, biophysical, and vegetation characteristics. We then projected future suitability of habitats by applying these models to future conditions as predicted by three climate models at three times periods, 2030 (2020-2060), 2060 (2050-2070), and 2090 (2080-2100). The climate data used in this study were derived from the: 1) Canadian Center for Climate Modeling and analysis (CCC) using the CGCM3.1 model, 2) Geophysical Fluid Dynamics laboratory (GFDL) using the CM2.1 model and, 3) Met office, Hadley Centre (HAD), using the HadCM3 model. The data in this product therefore represent four different time periods for three different models. Also included are consensus images designating where 1) all three climate models predicted suitable habitat, and 2) at least 2 models predicted suitable habitat.