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Climate Change May Boost the Invasion of the Asian Needle Ant

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  • Cleo Bertelsmeier
  • Benoît Guénard
  • Franck Courchamp

Abstract

Following its introduction from Asia to the USA, the Asian needle ant (Pachycondyla chinensis) is rapidly spreading into a wide range of habitats with great negative ecological affects. In addition, the species is a concern for human health because of its powerful, sometimes deadly, sting. Here, we assessed the potential of P. chinensis to spread further and to invade entirely new regions. We used species distribution models to assess suitable areas under current climatic conditions and in 2020, 2050 and 2080. With a consensus model, combining five different modelling techniques, three Global Circulation (climatic) Models and two CO2 emission scenarios, we generated world maps with suitable climatic conditions. Our models suggest that the species currently has a far greater potential distribution than its current exotic range, including large parts of the world landmass, including Northeast America, Southeast Asia and Southeast America. Climate change is predicted to greatly exacerbate the risk of P. chinensis invasion by increasing the suitable landmass by 64.9% worldwide, with large increases in Europe (+210.1%), Oceania (+75.1%), North America (+74.9%) and Asia (+62.7%). The results of our study suggest P. chinensis deserves increased attention, especially in the light of on-going climate change.

Suggested Citation

  • Cleo Bertelsmeier & Benoît Guénard & Franck Courchamp, 2013. "Climate Change May Boost the Invasion of the Asian Needle Ant," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-8, October.
  • Handle: RePEc:plo:pone00:0075438
    DOI: 10.1371/journal.pone.0075438
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    References listed on IDEAS

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    1. Kaiser, Brooks A. & Burnett, Kimberly M., 2010. "Spatial economic analysis of early detection and rapid response strategies for an invasive species," Resource and Energy Economics, Elsevier, vol. 32(4), pages 566-585, November.
    2. Benoit Guénard & Robert R Dunn, 2010. "A New (Old), Invasive Ant in the Hardwood Forests of Eastern North America and Its Potentially Widespread Impacts," PLOS ONE, Public Library of Science, vol. 5(7), pages 1-10, July.
    3. Pimentel, David & Zuniga, Rodolfo & Morrison, Doug, 2005. "Update on the environmental and economic costs associated with alien-invasive species in the United States," Ecological Economics, Elsevier, vol. 52(3), pages 273-288, February.
    4. Terry L. Root & Jeff T. Price & Kimberly R. Hall & Stephen H. Schneider & Cynthia Rosenzweig & J. Alan Pounds, 2003. "Fingerprints of global warming on wild animals and plants," Nature, Nature, vol. 421(6918), pages 57-60, January.
    5. Austin, Mike, 2007. "Species distribution models and ecological theory: A critical assessment and some possible new approaches," Ecological Modelling, Elsevier, vol. 200(1), pages 1-19.
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