Biological Invasions

, Volume 9, Issue 6, pp 723–735 | Cite as

Modelling the potential geographic distribution of invasive ant species in New Zealand

Original Paper

Abstract

Despite their economic and environmental impacts, there have been relatively few attempts to model the distribution of invasive ant species. In this study, the potential distribution of six invasive ant species in New Zealand are modelled using three fundamentally different methods (BIOCLIM, DOMAIN, MAXENT). Species records were obtained from museum collections in New Zealand. There was a significant relationship between the length of time an exotic species had been present in New Zealand and its geographic range. This is the first time such a time lag has been described for exotic ant species, and shows there is a considerable time lag in their spread. For example, it has taken many species several decades (40–60 years) to obtain a distribution of 17–25% of New Zealand regions. For all six species, BIOCLIM performed poorly compared to the other two modelling methods. BIOCLIM had lower AUC scores and higher omission error, suggesting BIOCLIM models under-predicted the potential distribution of each species. Omission error was significantly higher between models fitted with all 19 climate variables compared to those models with fewer climate variables for BIOCLIM, but not DOMAIN or MAXENT. Widespread species had a greater commission error. A number of regions in New Zealand are predicted to be climatically suitable for the six species modelled, particularly coastal and lowland areas of both the North and South Islands.

Keywords

Invasive ants BIOCLIM DOMAIN MAXENT Species distribution modelling 

Notes

Acknowledgements

Many thanks to Richard Harris for access to database records, and to Steve Phillips and Robert Hijmans for their assistance with software. Thanks to Jacqueline Beggs, Mick Clout and Margaret Stanley for comments on earlier versions of this manuscript. This work was supported by the Entomological Society of New Zealand, Landcare Research (FRST C09X0507), and a FRST doctoral scholarship.

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Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  1. 1.School of Biological SciencesUniversity of AucklandAucklandNew Zealand

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