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Section Symposium

Plant-Insect Ecosystems

Advances in Areawide Pest Management of Invasive and Endemic Pests in Agroecosystems

Real-time Pheno Forecasts to support the areawide management of major invasive pests in U.S. agroecosystems

Tuesday, November 11, 2025
8:50 AM - 9:05 AM Pacific
Location: Oregon Convention Center, D135, OCC
Oral Presentation

    Presenting Author(s)

  • Brittany S. Barker, PhD

    Assistant Research Proessor
    Oregon State University
    Corvallis, Oregon

    • Co-Author(s)

  • LC

    Len Coop

    Oregon State University
    Corvallis, Oregon

  • EP

    Erin Posthumus

    USA National Phenology Network, School of Natural Resources and the Environment, University of Arizona
    Tucson, Arizona

  • TC

    Theresa Crimmins

    USA National Phenology Network, School of Natural Resources and the Environment, University of Arizona
    Tucson, Arizona

Spatially explicit forecasts of pest activities (phenology) and establishment risk can enhance the effectiveness of areawide pest management of invasive pests. We present on spatial forecasts of phenology and climate suitability for the emerald ash borer (Agrilus planipennis), spotted lanternfly (Lycorma delicatula), and Japanese beetle (Popillia japonica). Near real-time forecasts for the conterminous United States are produced by the DDRP platform at Oregon State University (http://uspest.org/CAPS) and delivered as Pheno Forecasts at the USA Phenology Network’s (USA-NPN) website (https://www.usanpn.org/data/maps/forecasts). We describe how forecasts may support areawide management of the target pests, including the timely installation of trapping devices in areas at highest risk of establishment. The USA-NPN provides a Visualization Tool (https://data.usanpn.org/vis-tool) to zoom, pan, and query forecasts as well as Phenology Learning Modules to support volunteers in identifying and reporting on these pests. Pest forecasts may support nurseries, arborists, and growers with early detection efforts and the management of existing populations.