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Predicting walleye recruitment as a tool for prioritizing management actions

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Publication Date

Citation

Gretchen J.A. Hansen, Stephen R. Carpenter, Jereme W. Gaeta, Joseph M. Hennessy, and M. Jake Vander Zanden, 2015-02, Predicting walleye recruitment as a tool for prioritizing management actions: Canadian Journal of Fisheries and Aquatic Sciences.

Summary

We classified walleye ( Sander vitreus) recruitment with 81% accuracy (recruitment success and failure predicted correctly in 84% and 78% of lake-years, respectively) using a random forest model. Models were constructed using 2779 surveys collected from 541 Wisconsin lakes between 1989 and 2013 and predictor variables related to lake morphometry, thermal habitat, land use, and fishing pressure. We selected predictors to minimize collinearity while maximizing classification accuracy and data availability. The final model classified recruitment success based on lake surface area, water temperature degree-days, shoreline development factor, and conductivity. On average, recruitment was most likely in lakes larger than 225 ha. Low degree-days [...]

Contacts

Communities

  • National CASC
  • National and Regional Climate Adaptation Science Centers

Associated Items

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Categories
Organization
Wildlife and Plants
Water, Coasts and Ice
Science Tools For Managers
Science Themes
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Provenance

Additional Information

Citation Extension

journalCanadian Journal of Fisheries and Aquatic Sciences
parts
typedoi
value10.1139/cjfas-2014-0513

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