Wildfires have increased in extent and severity across the western landscape, heightening concerns for stream and watershed resiliency given the potential effects on measures of stream health, such as water chemistry. Previous research suggests that fluxes in chemical constituents are largely dependent on time since fire, fire severity and watershed characteristics such as vegetation type. Much of the existing research was designed to assess stream chemistry changes immediately post fire on a localized scale. In this project we present a novel approach to assess affects of fire on stream chemistry by using the Bureau of Land Management’s (BLM) Lotic Assessment Inventory and Monitoring (AIM) program, a large-scale dataset. Lotic AIM is a standardized protocol designed to monitor stream conditions on BLM managed lands and, along with other methods, collects several water quality indicators. Because Lotic AIM sampling occurs across years and ecoregions depending predominantly on random sampling designs, not specifically to assess post fire conditions, we anticipated uncertainty in detecting fire related changes. Here, we paired Lotic AIM water quality indicators, total nitrogen; total phosphorous; specific conductivity; and pH, with wildfire perimeter and severity data obtained through the Monitoring Trends in Burn Severity (MTBS) program in the watershed delineated upstream of the sampling points (excluding fires that occurred more than 10 years before sampling and that burned less than 10% of the watershed). We found median total nitrogen values were similar with 186.5 µg L-1 and 185.2 µg L-1 in burned and unburned watersheds, respectively, and median total phosphorous values were 58.7 µg L-1 to 42.0 µg L-1 in burned and unburned watersheds. We additionally noted a distinct bimodal distribution for total nitrogen and total phosphorous in watersheds that burned greater than 75%, where a high mode exceeded the values of the collective median of all watersheds with qualifying fire and of unburned watersheds. We will explore potential relationships contributing to this observed bimodality as well as how these indicators differ with variations in burn severity, precipitation variation post fire, and between watersheds with differences in dominant vegetation.