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Threat of invasive pests from within national borders

Author

Listed:
  • Dean R. Paini

    (CSIRO Ecosystem Sciences
    Cooperative Research Centre for National Plant Biosecurity)

  • Susan P. Worner

    (Cooperative Research Centre for National Plant Biosecurity
    Bio-Protection Research Centre, Lincoln University)

  • David C. Cook

    (CSIRO Ecosystem Sciences
    Cooperative Research Centre for National Plant Biosecurity
    Fenner School of Environment and Society, The Australian National University)

  • Paul J. De Barro

    (Cooperative Research Centre for National Plant Biosecurity
    CSIRO Ecosystem Sciences)

  • Matthew B. Thomas

    (Cooperative Research Centre for National Plant Biosecurity
    Penn State University)

Abstract

Predicting and ranking potential invasive species present significant challenges to researchers and biosecurity agencies. Here we analyse a worldwide database of pest species assemblages to generate lists of the top 100 insect pests most likely to establish in the United States and each of its 48 contiguous states. For the United States as a whole, all of the top 100 pest species have already established. Individual states however tend to have many more 'gaps' with most states having at least 20 species absent from their top 100 list. For all but one state, every exotic pest species currently absent from a state's top 100 can be found elsewhere in the contiguous United States. We conclude that the immediate threat from known invasive insect pests is greater from within the United States than without. Our findings have potentially significant implications for biosecurity policy, emphasizing the need to consider biosecurity measures beyond established national border interventions.

Suggested Citation

  • Dean R. Paini & Susan P. Worner & David C. Cook & Paul J. De Barro & Matthew B. Thomas, 2010. "Threat of invasive pests from within national borders," Nature Communications, Nature, vol. 1(1), pages 1-6, December.
  • Handle: RePEc:nat:natcom:v:1:y:2010:i:1:d:10.1038_ncomms1118
    DOI: 10.1038/ncomms1118
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    Cited by:

    1. Xubin Pan & Jingqiu Zhang & Han Xu & Xianglin Zhang & Wei Zhang & Huahai Song & Shuifang Zhu, 2015. "Spatial similarity in the distribution of invasive alien plants and animals in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(3), pages 1751-1764, July.
    2. Roigé, Mariona & Parry, Matthew & Phillips, Craig & Worner, Susan, 2016. "Self-organizing maps for analysing pest profiles: Sensitivity analysis of weights and ranks," Ecological Modelling, Elsevier, vol. 342(C), pages 113-122.
    3. Louise Morin & Dean R Paini & Roderick P Randall, 2013. "Can Global Weed Assemblages Be Used to Predict Future Weeds?," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-10, February.

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