Predicting invasiveness of freshwater fishes imported into North America: regional differences in models and outcomes

Abstract Biological invasions driven by international trade heighten the urgency for development of invasion risk models, as the traits and parameters that consistently predict successful invasion remain unresolved. For four regions of North America that include parts of the United States and Canada (Sacramento-San Joaquin River Basins, Lower Colorado River Basin, Great Lakes Region, Mid-Atlantic Region), we construct and compare classification tree models to reveal robust predictors for the establishment and ecological impact stages of freshwater fish invasion. We subsequently apply the models to identify invasive fish species in trade and conduct pathway analyses to determine which trades (aquarium, biological supply, live bait, live food, water garden) and source continents pose the greatest risk to each region. Model results differed by invasion stage and region. Across regions, establishment models shared climate-related predictors including climate match and temperature tolerance. Three of the four impact models contained prior establishment success. The greatest number of species (548) were predicted to establish in the Sacramento-San Joaquin while the fewest (5) were predicted to establish in the Mid-Atlantic. Forty species were predicted to establish in multiple regions, five of which were also predicted to have high impact. The aquarium trade and Asia supplied the most species predicted to establish. Taken together, the results highlight region-specific models, indicating no universal model predicts invasion. Climate-related and prior establishment variables were most useful to risk assessments. The regional models, and identified high-risk pathways and potential invaders, could be applied to prevent future fish invasions in North America.

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Publication Details

Journal
Biological Invasions
Published
2025-03-22
DOI
https://doi.org/10.1007/s10530-025-03560-1
Citations
1
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
2.31

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article

Predicting invasiveness of freshwater fishes imported into North America: regional differences in models and outcomes

Crysta A. Gantz, Sohaib Amjad, Julian D. Olden, Paul L. Angermeier et al.
1 citations
Biological Invasions
Fish Ecology and Management Studies
2.31
article

Predicting invasiveness of freshwater fishes imported into North America: regional differences in models and outcomes

Crysta A. Gantz, Sohaib Amjad, Julian D. Olden, Paul L. Angermeier, Nicholas E. Mandrak, Jennifer G. Howeth, David M. Lodge, Michael P. Marchetti
article en
1 citations

Abstract

Abstract Biological invasions driven by international trade heighten the urgency for development of invasion risk models, as the traits and parameters that consistently predict successful invasion remain unresolved. For four regions of North America that include parts of the United States and Canada (Sacramento-San Joaquin River Basins, Lower Colorado River Basin, Great Lakes Region, Mid-Atlantic Region), we construct and compare classification tree models to reveal robust predictors for the establishment and ecological impact stages of freshwater fish invasion. We subsequently apply the models to identify invasive fish species in trade and conduct pathway analyses to determine which trades (aquarium, biological supply, live bait, live food, water garden) and source continents pose the greatest risk to each region. Model results differed by invasion stage and region. Across regions, establishment models shared climate-related predictors including climate match and temperature tolerance. Three of the four impact models contained prior establishment success. The greatest number of species (548) were predicted to establish in the Sacramento-San Joaquin while the fewest (5) were predicted to establish in the Mid-Atlantic. Forty species were predicted to establish in multiple regions, five of which were also predicted to have high impact. The aquarium trade and Asia supplied the most species predicted to establish. Taken together, the results highlight region-specific models, indicating no universal model predicts invasion. Climate-related and prior establishment variables were most useful to risk assessments. The regional models, and identified high-risk pathways and potential invaders, could be applied to prevent future fish invasions in North America.

Biological InvasionsVol. 27(4)
University of Notre Dame (US), University of Alabama (US), Saint Mary's College of California (US), University of Washington (US), Cornell University (US), Scarborough Health Network (CA), Department of Biological Sciences (BY), Virginia Tech (US)
National Science Foundation, U.S. Fish and Wildlife Service
Openalex Percentile: Top 16%
Fish Ecology and Management Studies
2.31
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