Technical Abstract: Ranchers and range managers in the West are at the mercy of climatic conditions that determine the amount of annual forge available on rangeland. Typically, stocking or de-stocking decisions need to be made before the final annual forage production level is known. Since erroneous stocking rate decisions can have dire economic and environmental consequences, a decision support tool is needed that uses easily obtained information to provide a reasonably accurate prediction of forage growth potential as early as possible in the coming growing/grazing season. Our goal was to identify such a potential predictor. We analyzed the relationships between grazed and un-grazed peak standing crop (PSC) and precipitation using a non-linear regression, Akaike’s information criterion for model selection, and data from three locations: Streeter, ND, Miles City, MT, and Cheyenne, WY. Predictor variables included annual and growing season precipitation and several variables based on spring precipitation. Both the response and predictor variables were normalized. We found that grazing did not affect the relationship between PSC and precipitation, nor were annual or growing season precipitation good predictor variables. The best predictor variable was total precipitation in April and May for MT, May and June for ND and April, May and June for WY, with r2 ranging from 0.50 to 0.64. These results indicate that spring precipitation is useful information for stocking or destocking decisions and can potentially be used to develop a decision support tool.