The biogeography of prediction error: why does the introduced range of the fire ant over-predict its native range?

Aim The use of species distribution models (SDMs) to predict biological invasions is a rapidly developing area of ecology. However, most studies investigating SDMs typically ignore prediction errors and instead focus on regions where native distributions correctly predict invaded ranges. We investigated the ecological significance of prediction errors using reciprocal comparisons between the predicted invaded and native range of the red imported fire ant ( Solenopsis invicta ) (hereafter called the fire ant). We questioned whether fire ants occupy similar environments in their native and introduced range, how the environments that fire ants occupy in their introduced range changed through time relative to their native range, and where fire ant propagules are likely to have originated. Location We developed models for South America and the conterminous United States (US) of America. Methods We developed models using the Genetic Algorithm for Rule-set Prediction (GARP) and 12 environmental layers. Occurrence data from the native range in South America were used to predict the introduced range in the US and vice versa. Further, time-series data recording the invasion of fire ants in the US were used to predict the native range. Results Native range occurrences under-predicted the invasive potential of fire ants, whereas occurrence data from the US over-predicted the southern boundary of the native range. Secondly, introduced fire ants initially established in environments similar to those in their native range, but subsequently invaded harsher environments. Time-series data suggest that fire ant propagules originated near the southern limit of their native range. Conclusions Our findings suggest that fire ants from a peripheral native population established in an environment similar to their native environment, and then ultimately expanded into environments in which they are not found in their native range. We argue that reciprocal comparisons between predicted native and invaded ranges will facilitate a better understanding of the biogeography of invasive and native species and of the role of SDMs in predicting future distributions.

[1]  S. Porter,et al.  Invasion of Polygyne Fire Ants Decimates Native Ants and Disrupts Arthropod Community , 1990 .

[2]  W. Thuiller,et al.  Predicting species distribution: offering more than simple habitat models. , 2005, Ecology letters.

[3]  K. Ross,et al.  Species delimitation in native South American fire ants , 2005, Molecular ecology.

[4]  H. MacIsaac,et al.  Is invasion success explained by the enemy release hypothesis , 2004 .

[5]  A. Peterson,et al.  Predicting Species Invasions Using Ecological Niche Modeling: New Approaches from Bioinformatics Attack a Pressing Problem , 2001 .

[6]  Brian Huntley,et al.  Climate and the distribution of Fallopia japonica: use of an introduced species to test the predictive capacity of response surfaces , 1995 .

[7]  M. Fitzpatrick,et al.  Ecological niche models and the geography of biological invasions: a review and a novel application , 2005 .

[8]  A. Townsend Peterson,et al.  Niche differentiation in Mexican birds: using point occurrences to detect ecological innovation , 2003 .

[9]  PHYLOGEOGRAPHIC STRUCTURE OF THE FIRE ANT SOLENOPSIS INVICTA IN ITS NATIVE SOUTH AMERICAN RANGE: ROLES OF NATURAL BARRIERS AND HABITAT CONNECTIVITY , 2005, Evolution; international journal of organic evolution.

[10]  E. Welk,et al.  Constraints in range predictions of invasive plant species due to non-equilibrium distribution patterns: Purple loosestrife (Lythrum salicaria) in North America , 2004 .

[11]  M. Kaspari,et al.  Spatial Grain and the Causes of Regional Diversity Gradients in Ants , 2003, The American Naturalist.

[12]  C. Graham,et al.  Niche Conservatism: Integrating Evolution, Ecology, and Conservation Biology , 2005 .

[13]  L. Keller,et al.  Distribution of the Two Social Forms of the Fire Ant Solenopsis invicta (Hymenoptera: Formicidae) in the Native South American Range , 2003 .

[14]  E. Welk,et al.  Present and potential distribution of invasive garlic mustard (Alliaria petiolata) in North America , 2002 .

[15]  W. Grant,et al.  A colony-growth model for the imported fire ant: potential geographic range of an invading species , 1995 .

[16]  W. Tschinkel.  THE REPRODUCTIVE BIOLOGY OF FIRE ANT SOCIETIES , 1998 .

[17]  C. S. Lofgren,et al.  Comparison of nestmate recognition between monogyne and polygyne populations of Solenopsis invicta (Hymenoptera: Formicidae). , 1990 .

[18]  R. Sutherst,et al.  A Climate Model of the Red Imported Fire Ant, Solenopsis invicta Buren (Hymenoptera: Formicidae): Implications for Invasion of New Regions, Particularly Oceania , 2005 .

[19]  Joshua Blu Buhs.  The Fire Ant Wars: Nature, Science, and Public Policy in Twentieth-Century America , 2004 .

[20]  David R. B. Stockwell,et al.  Induction of sets of rules from animal distribution data: a robust and informative method of data analysis , 1992 .

[21]  L. Keller,et al.  Wolbachia infections in native and introduced populations of fire ants (Solenopsis spp.) , 2000, Insect molecular biology.

[22]  Robert P. Anderson,et al.  Evaluating predictive models of species’ distributions: criteria for selecting optimal models , 2003 .

[23]  A. Peterson.  Predicting the Geography of Species’ Invasions via Ecological Niche Modeling , 2003, The Quarterly Review of Biology.

[24]  A. Peterson,et al.  Lutzomyia vectors for cutaneous leishmaniasis in Southern Brazil: ecological niche models, predicted geographic distributions, and climate change effects. , 2003, International journal for parasitology.

[25]  K. Ross,et al.  GENETIC STRUCTURE AND EVOLUTION OF A FIRE ANT HYBRID ZONE , 1996, Evolution; international journal of organic evolution.

[26]  M. Korzukhin,et al.  Modeling Temperature-Dependent Range Limits for the Fire Ant Solenopsis invicta (Hymenoptera: Formicidae) in the United States , 2001 .

[27]  John Bell,et al.  A review of methods for the assessment of prediction errors in conservation presence/absence models , 1997, Environmental Conservation.

[28]  David R. B. Stockwell,et al.  The GARP modelling system: problems and solutions to automated spatial prediction , 1999, Int. J. Geogr. Inf. Sci..

[29]  Antoine Guisan,et al.  Predictive habitat distribution models in ecology , 2000 .

[30]  A. Peterson,et al.  Sensitivity of distributional prediction algorithms to geographic data completeness , 1999 .

[31]  H. Fowler,et al.  Intercontinental Differences in the Abundance of Solenopsis Fire Ants (Hymenoptera: Formicidae): Escape from Natural Enemies? , 1997 .

[32]  H. L. Collins,et al.  Invasion and Range Expansion of Imported Fire Ants (Hymenoptera: Formicidae) in North America from 1918-1995 , 1996 .

[33]  W. H. Whitcomb,et al.  Zoogeography of the imported fire ants. , 1974 .

[34]  R. Gomulkiewicz,et al.  Theories of Niche Conservatism and Evolution COULD EXOTIC SPECIES BE POTENTIAL TESTS ? 10 , 2022 .

[35]  A. Suarez,et al.  The Colony Structure and Population Biology of Invasive Ants , 2003 .

[36]  A. Peterson,et al.  Predicting the potential invasive distributions of four alien plant species in North America , 2003, Weed Science.

[37]  C. Allen,et al.  Consequences of Forest Clear-Cuts for Native and Nonindigenous Ants (Hymenoptera: Formicidae) , 2004 .

[38]  S. Porter,et al.  Red imported fire ants expand their range across the West Indies. , 2001 .

[39]  W. H. Whitcomb,et al.  The Red Imported Fire Ant, Solenopsis invicta; Distribution and Habitat in Mato Grosso, Brazil , 1974 .

[40]  David R. B. Stockwell,et al.  Effects of sample size on accuracy of species distribution models , 2002 .