Decisions related to the development and implementation of management strategies for data limited endangered and invasive species can be hampered by critical uncertainties (i.e., those that limit decision-making), including a lack of information about distribution, population dynamics and species interactions. Structured decision making and adaptive management approaches that develop and prioritize actions and predict and test outcomes through modeling and monitoring of implementation may be critical to building the necessary information to effectively conserve data limited species. Innovative monitoring, modeling, and decision support tools can accelerate actions and improve efficacy to benefit native species of interest and better inform management decisions for early detection of invasive species. This symposium will highlight studies that enhance management of data limited species in Endangered Species (ES) recovery and Aquatic Invasive Species (AIS) control. In addition, we hope bringing together biologist focused on ES and AIS will enhance collaboration between these research communities.


  • Joshua Israel, US Bureau of Reclamation, [email protected]
  • William Ardren, U.S. Fish and Wildlife Service
  • Brian Healy, US Geological Survey