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Addressing Biological Invasions in Agriculture with Big Data in an Informatics Age

Author

Listed:
  • Rebecca A. Clement

    (Pest Identification Technology Laboratory, United States Department of Agriculture, Animal and Plant Health Inspection Service, Plant Protection and Quarantine, Science & Technology, Fort Collins, CO 80526, USA
    Systematic Entomology Laboratory, United States Department of Agriculture, Agricultural Research Service, Washington, DC 20013, USA
    Smithsonian National Museum of Natural History, Washington, DC 20013, USA)

  • Hyoseok Lee

    (Oak Ridge Institute for Science and Education, Oak Ridge Associated Universities, Oak Ridge, TN 37830, USA
    Daniel K. Inouye US Pacific Basin Agricultural Research Center, United States Department of Agriculture, Agricultural Research Service, Hilo, HI 96720, USA
    Current address: Research Institute of Climate Change and Agriculture, National Institute of Horticultural and Herbal Science, Jeju 63240, Republic of Korea.)

  • Nicholas C. Manoukis

    (Daniel K. Inouye US Pacific Basin Agricultural Research Center, United States Department of Agriculture, Agricultural Research Service, Hilo, HI 96720, USA)

  • Yelena M. Pacheco

    (Systematic Entomology Laboratory, United States Department of Agriculture, Agricultural Research Service, Washington, DC 20013, USA
    Smithsonian National Museum of Natural History, Washington, DC 20013, USA)

  • Fallon Ross

    (United States Department of Agriculture, Natural Resources Conservation Service, Red Cloud, NE 68970, USA)

  • Mark S. Sisterson

    (San Joaquin Valley Agricultural Sciences Center, United States Department of Agriculture, Agricultural Research Service, Parlier, CA 93648, USA)

  • Christopher L. Owen

    (Systematic Entomology Laboratory, United States Department of Agriculture, Agricultural Research Service, Washington, DC 20013, USA
    Smithsonian National Museum of Natural History, Washington, DC 20013, USA)

Abstract

Big data approaches are rapidly expanding across many fields of science and are seeing increasing application, yet the use of big data in research related to invasive species lags. Big data can play a key role in predicting, detecting, preventing, controlling, and eradicating biological invasions. Here, we assess terms in the literature related to big data, biological invasions, and agriculture and review sources of big data, including museum records, crowdsourcing observations, natural history collections, and DNA-based information. These sources can be combined with environmental data to build models, predict the origins of invasive species, and develop control methods. To harness the power of data for agricultural biological invasions, several action areas are recommended to streamline processes and improve data sources.

Suggested Citation

  • Rebecca A. Clement & Hyoseok Lee & Nicholas C. Manoukis & Yelena M. Pacheco & Fallon Ross & Mark S. Sisterson & Christopher L. Owen, 2025. "Addressing Biological Invasions in Agriculture with Big Data in an Informatics Age," Agriculture, MDPI, vol. 15(11), pages 1-34, May.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:11:p:1157-:d:1666375
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