U.S. Geological Survey, ECOSYSTEMSUnderstanding how climate change will contribute to ongoing declines in sagebrush ecological integrity is critical for informing natural resource management. We assessed potential future changes in sagebrush ecological integrity (SEI) under a range of scenarios using an individual plant-based simulation model, integrated with remotely sensed estimates of current sagebrush ecological integrity. The simulation model allowed us to estimate how climate change, wildfire, and invasive annuals interact to alter the potential abundance of key plant functional types that influence sagebrush ecological integrity (SEI): sagebrush, perennial grasses, and annual grasses. This layer shows agreement among climate models for change in sagebrush ecological integrity class (under RCP4.5 2071-2100) for areas that are currently Core Sagebrush Areas (CSA) or Growth Opportunity Areas (GOA). "Non-robust agreement" indicates agreement among 7-11 models out of 13 (not a robust signal, represented by light colors), and ‘robust agreement' means agreement among 12-13 models (a robust signal, represented by dark colors). Loss of CSA means future classification is GOA or Other Rangeland Area (ORA). Loss of GOA means future classification is ORA. Change in SEI class, is relative to the SEI class during the 2017-2020 time-period. Please see Holdrege et al. 2024 (https://doi.org/10.1016/j.rama.2024.08.003) for details on our methods (note that this layer is shown in Fig 2a of that manuscript). This layer is derived from the 'c9_Default_RCP45_2071-2100.tif' that can be downloaded from Science Base (https://doi.org/10.5066/P13RXYZJ).ArcGIS ImageMapLayerhttps://hub.arcgis.com/datasets/80b59e89aa5c4b0787385d55f4c00bcbengU.S. Fish and Wildlife Service Open DataPublicLevel of agreement among GCMs for projected change in SEI class (under RCP4.5 2071-2100) [United States]Web servicesUnited States2071