State-of-the-art fisheries stock assessment models integrate diverse datasets to make predictions about fish populations and can be used to explore the responses of fish populations to alternative management actions. Increasingly, stock assessments are being challenged to represent population responses to changing environmental conditions.  Research on incorporating the range of expected population responses under global climate change has recently flourished, and a forum for fishery scientists to discuss advancements in techniques would be useful. This symposium provides a forum to summarize and discuss the challenges of assessing fish stocks in changing environments, present developments in this field, discuss challenges for future stock assessments, and consider the impact changing environmental conditions on the reliability of management advice from stock assessment models. Given this broad scope, this symposium targets a diversity of assessment specialists and fishery scientists involved with development and application of stock assessment models and simulations to inform fishery management.

Supported by:

  • Marine Fisheries Section
  • Quantitative Fisheries Center at Michigan State University


  • Christopher Cahill, Michigan State University, [email protected]
  • Kari Fenske, Wisconsin Dept. of Natural Resources
  • Michael Wilberg, University of Maryland Center for Environmental Science
  • Samara Nehemiah, University of Maryland Center for Environmental Science