Skip to main content

Quantitative Fisheries Center at Michigan State University

Fisheries managers attempt to produce the highest possible sustained  benefits for people by actions that influence aquatic organisms,  their environments, and their human users.  Fisheries management  decisions have consequences that extend beyond the participants in  recreational and commercial fisheries.  Within Michigan alone,  licensed anglers contribute nearly $2 billion to the state economy.   Because of the local and regional economic impact of fishing,  management agencies increasingly are being called upon to employ  sophisticated quantitative methods to assess fish populations, and  to formally consider risks and uncertainties associated with  management decisions. This can be technically challenging and  agencies sometimes lack expertise or resources needed to employ such  cutting-edge techniques.  The Quantitative Fisheries Center (QFC)  was created at Michigan State University (MSU) to (1) build greater  capacity within fishery management agencies in quantitative methods;  (2) improve quantitative methods for assessing fish stocks; (3)  assist agencies in the use of model-based approaches to decision  making; and (4) develop a better understanding of fish community and  population dynamics.  The QFC is administratively housed within the  Department of Fisheries and Wildlife.  The QFC is jointly funded by  MSU, the Michigan Department of Natural Resources, the Great Lakes  Fishery Commission, and by the following Great Lakes Council of Lake  Committee agencies: New York Department of Environmental  Conservation, Ohio Department of Natural Resources, Minnesota  Department of Natural Resources, and Ontario Ministry of Natural  Resources.  The QFC will provide three main services to partner agencies: (1)  innovative research on new approaches for quantitative science in  support of fishery management; (2) outreach to assist in continued  application of decision tools developed through partnerships with  fishery agencies, and; (3) training in quantitative fishery  techniques for graduate students and mid-career professionals in  fishery management agencies.    

In progress
Start Date
End Date
Scope of Study
Field Investigation
Scale of Phenomena
Impact of Pollutants
Exotic Species
Natural Ecological Processes
Economic Impact Study
Resource Management
Lake Basin Connecting Channels
Lake Erie
Lake Huron
Lake Michigan
Lake Ontario
Lake Superior
State Province
New York
Biology And Life History
Population Dynamics
Control And Mitigation
Integrated Control Strategy
Spread of Established ANS Populations
Predictive Models
Socio-economic Consideration and Analysis
Resource Management Issues
Annex Numbers
Research & Development
Surveillance and Monitoring
Annex 17
Impact of water quality and AIS on fish and wildlife populations and habitats
Aquatic Nuisance Species
  • Annex Numbers
    Annex Numbers
    Research & Development
    Surveillance and Monitoring
  • Annex 17
    Annex 17
    Impact of water quality and AIS on fish and wildlife populations and habitats

The Great Lakes - St. Lawrence Research Inventory is an
interactive, Internet-based, searchable database created as a tool to collect and disseminate
up-to-date information about research projects in the
Great Lakes - St. Lawrence Region.