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Biological Invasions

, Volume 12, Issue 8, pp 2559–2571 | Cite as

Predicting establishment success for introduced freshwater fishes: a role for climate matching

  • Mary BomfordEmail author
  • Simon C. Barry
  • Emma Lawrence
Original Paper

Abstract

We modelled data comprising 1,189 successful and 489 failed introduction records for 280 species of freshwater fishes around the world. We found significant variations in establishment success between genera and families. The number of countries where introductions occurred was a significant predictor of the probability a species would establish in at least one country and all species that had been introduced to nine or more countries (46 species) had established at least one exotic population. We also conducted more detailed quantitative modelling for 135 species introduced to 10 countries to identify factors affecting establishment success. Relative to failed species, established species had better climate matches between the country where they were introduced and their geographic range elsewhere in the world. Established species were also more likely to have high establishment success rates elsewhere in the world. Neither the reason why fish were introduced nor the country where they were introduced was correlated with establishment success. Cross-validations indicated our model correctly categorised establishment success with 78% accuracy. Our findings may guide risk assessments for the import of live exotic fish to reduce the rate new species establish in the wild.

Keywords

Climate matching Establishment success Exotic species Freshwater fish Prediction Risk assessment 

Abbreviations

FAO

Food and Agriculture Organisation

ROC curve

Receiver operating characteristic curve

Notes

Acknowledgments

Funding was provided by the Australian Invasive Animals Cooperative Research Centre, the Bureau of Rural Sciences in the Australian Government Department of Agriculture, Fisheries and Forestry and by the Australian Government Department the Environment and Heritage. We thank the three anonymous reviewers whose comments improved earlier versions of the manuscript.

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Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  1. 1.Bureau of Rural SciencesCanberraAustralia
  2. 2.CSIRO Mathematical and Information SciencesCanberraAustralia
  3. 3.FraserAustralia

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