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Indexing and identifying drivers of Great Lakes coregonine recruitment: a cross-basin, cross-species analysis

Status
Ongoing

GLFC ID
2022_HON_441017

Research Program
Fishery Research Program

Research Theme
Physical Processes

Start Date
2022

End Date
2026

PI Name
Honsey, Andrew

PI Email
ahonsey@usgs.gov

PI Institution
U.S. Geological Survey

Project Keywords



Project Datasets

Year-class strength estimates and biophysical variables for analyses of Lake Whitefish and Cisco recruitment in the Great Lakes and Lake Simcoe, 1956-2015

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Lake Whitefish (Coregonus clupeaformis) and Cisco (C. artedi) are socioecologically important fishes across the Laurentian Great Lakes region; however, many populations have experienced declining, poor, or sporadic recruitment in recent decades. Increased understanding of the recruitment dynamics and drivers of these two species could help clarify the causes and consequences of recent recruitment trajectories. We characterized the long-term recruitment dynamics and putative biophysical drivers of Lake Whitefish and Cisco in the Laurentian Great Lakes (United States/Canada) and Lake Simcoe (Canada). Here, we provide datasets of year-class strength (i.e., an index of recruitment to the adult population) and predictor variables for analyses of Lake Whitefish and Cisco recruitment variability in six large lakes: Superior, Huron, Michigan, Erie, Ontario, and Simcoe. These data can be leveraged in future research on the causes and consequences of recruitment variability for these two species in the Laurentian Great Lakes region.

Dataset Format
tabular (*.csv)

Waterbody
Lake Erie, Lake Ontario, Lake Michigan, Lake Huron, Lake Superior, Basin-wide, Other

Variables
year-class strength; climate; water levels; primary productivity; zooplankton; benthos; fish community; relative weight

Dataset Keywords



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