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Updated: Jul 19, 2026

Quantifying Fish Swimming Behavior in Response to Acute Exposure of Aqueous Copper Using Computer Assisted Video and Digital Image Analysis
Published on: February 26, 2016
Ecological predictions and risk assessment for alien fishes in North America
Cynthia S Kolar1, David M Lodge
1Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA. ckolar@usgs.gov
Abstract:
Methods of risk assessment for alien species, especially for nonagricultural systems, are largely qualitative. Using a generalizable risk assessment approach and statistical models of fish introductions into the Great Lakes, North America, we developed a quantitative approach to target prevention efforts on species most likely to cause damage. Models correctly categorized established, quickly spreading, and nuisance fishes with 87 to 94% accuracy. We then identified fishes that pose a high risk to the Great Lakes if introduced from unintentional (ballast water) or intentional pathways (sport, pet, bait, and aquaculture industries).

