Wildland fire management in the United States has historically been a challenging and complex program governed by a multitude of factors including situational status, objectives, operational capability, science and technology, and changes and advances in all these factors. The improvement and advancement of risk-informed decision making has the potential to improve natural and community resource protection, reduce firefighter exposure, and potentially, decrease suppression costs. Developing new and improved processes and integrating them in support of risk-informed decision making is an ongoing effort and primary focus of the Wildland Fire Decision Support System (WFDSS). This recently developed application incorporates emerging science in the areas of weather analyses, fire behavior prediction tools, economic assessment tools, and landscape data acquisition processes. It improves overall wildland fire information management and decision making. This paper describes how science application and integration in WFDSS can increase decision makers’ ability to acquire information, rapidly analyze information, and reach more timely and applicable decisions regarding wildland fire management.