Collaborative Research Team Project #03
Advancements to State-Space Models (SSMs) for Fisheries Science
This project explores advancements to State-Space Models (SSMs) for Fisheries Science.
Research Category: Ecology & Environment
Why Study SSMs for Fisheries?
State-Space Models (SSMs) are a modeling framework, commonly used in ecology for time series data analytics. These models are used to show population dynamics, animal movement and behaviour, capture-recapture data, and other ecological processes.
State-space modeling is an important part of science-based fisheries management. This team aims to advance SSMs for fisheries and facilitate the adoption of these novel approaches by Fisheries and Oceans Canada (DFO).
Areas of Exploration
Methodologies for SSMs
Includes building robust statistical methodologies for SSMs used in fisheries science and management. These methods will allow for both errors and misspecification in the observation process and in the state/dynamic process.
Model Selection Mechanisms
Includes developing a formal model-selection mechanism to choose reliably among candidate SSMs. This is done by accounting for the variability associated with the model criterion measure itself.
Includes developing relevant model diagnostics that can be used to evaluate model goodness-of-fit, for both the observation and state process. In practice, stock assessment scientists and fisheries managers need to know if their advice is sensitive to reasonable alternative assumptions.
Includes evaluating the reliability of the SSM approach in terms of accuracy and precision, for measuring model outputs which are key for fisheries. This is to gain a better understanding of the data requirements and limitations of the models.
Solving Global Challenges
Research Team’s Goals
- To develop general-purpose, statistically-rigorous SSM methodologies for fisheries science.
- To demonstrate the utility of these new approaches for addressing pressing fisheries issues in Canada.
Workshop #1 | May 28-30, 2015 at the Fields Institute
Workshop #2 | June 17-19, 2015 at Dalhousie University
People Behind the Project
Joanna Mills Flemming, Team Leader | Dalhousie University
Noel Cadigan | Memorial University
David Campbell | Simon Fraser University
Rick Routledge | Simon Fraser University
Eva Cantoni | University of Geneva
Steven Cooke | Carleton University
Daniel Duplisea | Fisheries and Oceans Canada
Chris Field | Dalhousie University
Boris Worm | Dalhousie University
Scott Hinch | University of British Columbia
Aaron MacNeil | Australian Institute of Marine Science
Anders Nielsen | Technical University of Denmark
Håvard Rue | Norwegian University of Science and Technology
Explore More Stories
Find Related Programs
Advancements to State-Space Models (SSMs) for Fisheries Science is a Collaborative Research Team project. This program tackles complex problems through a three-year research and training agenda.
CANSSI offers approximately $200,000 for this type of project, which requires a team of faculty, postdocs, and students.