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Development and implementation of a high-resolution data base for fishery management: Walleye and yellow perch stock structure.

To develop, test, analyze, and implement a high-resolution, low cost,  and widely applicable DNA data base for analyzing fish stock  structure in the Great Lakes for walleye and yellow perch. Walleye  and yellow perch are the two most important exploited fish species in  the lower Great Lakes, and understanding their stock structure is  critically important for fisheries management. Past research work by  our lab using mitochondrial DNA control sequences, nuclear DNA intron  sequences, and variation at 6 nuclear DNA microsatellite loci  (Stepien 1995, Stepien and Faber 1998, Faber and Stepien 1998,  Stepien et al. 2  4) has shown that spawning groups of walleye  genetically differ apparently due to spawning site philopatry (a  tendency to return to natal sites) by both males and females. Our  results for yellow perch also reveal population genetic structure  among basins and some sites within basins in Lake Erie (Ford and  Stepien 2  4). The present study builds upon the past studies to  better understand fine-scale stock structure, allow unknowns to be  genetically typed, and to produce a large interactive data base at  low cost for use by fishery scientists and managers.  The product of the study will be a state-of-the-art interactive World  Wide Web data base of 1 -15 microsatellite loci for 8  -1    walleye  and 6  -1    yellow perch, along with genetic analyses of their  relationships, distribution patterns, and stock structures. The web  program will show where each fish and population sample "fits in" to  stock structure and patterns across the Great Lakes. The data base  then will serve as a baseline for use by fisheries researchers and  managers for years to come. An output target goal is to invite  samples and continued use after the grant on an as-need and by- request basis at low cost (estimated as $25/fish), providing a  growing interactive data base for widespread scientific and agency  fisheries management. 

Status
In progress
Type
Project
Start Date
End Date
Researchers
Carol StepienPrincipal Investigator
Associated with 4 projects
Oswaldo Jhonatan Sepulveda-VilletResearcher
Associated with 1 projects
Agencies
Ohio Sea Grant College Program $ 180,000.00USDEstimates

Funding 15 projects for a total of $599,045.00
Scope of Study
Field Investigation
Laboratory Investigation
Scale of Phenomena
Organism
Population
Processes
Natural Ecological Processes
Land Use and Habitat
Shoreline
Resource Management
Fisheries
Wildlife
Lake Basin Connecting Channels
Detroit River
Lake Erie
Lake Huron
Lake Michigan
Lake Ontario
Lake St. Clair
Lake Superior
Niagara River
Out of Basin
St. Clair River
St.Lawrence River
State Province
Illinois
Indiana
Michigan
Minnesota
New York
Ohio
Ontario
Pennsylvania
Quebec
Wisconsin
Purpose of Project
Resource Management
Frequency
Annual
Number of Sampling Entities
20-49
Data Availability
Digital
Geo-referenced
Region Being Monitored
Near and OpenShore Waters
Tributary Mouth
Resource Being Monitored
Fisheries
Beneficial Use Impairment Assessments
Loss of Fish and Wildlife Habitat
Annex Numbers
Research & Development
Surveillance and Monitoring
Annex 17
Cause-effect inter-relationships of productivity and ecotoxicity
Impact of water quality and AIS on fish and wildlife populations and habitats
General
Monitoring
Annex
  • Annex Numbers
    Annex Numbers
    Research & Development
    Surveillance and Monitoring
  • Annex 17
    Annex 17
    Cause-effect inter-relationships of productivity and ecotoxicity
    Impact of water quality and AIS on fish and wildlife populations and habitats

The Great Lakes - St. Lawrence Research Inventory is an
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up-to-date information about research projects in the
Great Lakes - St. Lawrence Region.