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Q&A ViewAttendees 8

Plant-Insect Ecosystems

Student Competition 10-Minute Paper

Grad P-IE: Conservation and Invasive Species

Occurrence and detection probabilities of Bombus species across habitat types using multi-species occupancy models

Monday, November 1, 2021
11:06 AM - 11:18 AM MT
Location: Colorado Convention Center, Four Seasons Ballroom 2-3
In-Person Student Competition

    Presenting Author(s)

  • Michelle L. Boone

    PhD Candidate
    University of Minnesota
    Saint Paul, Minnesota

    • Co-Author(s)

  • Elaine C. Evans

    Assoc Extension Professor
    University of Minnesota
    Saint Paul, Minnesota

  • DC

    Daniel Cariveau

    University of Minnesota
    St Paul, Minnesota

  • Sujaya Rao

    Professor and Department Head
    University of Minnesota
    Saint Paul, Minnesota

As evidence of bee declines mounts, we need robust, high-quality methods for surveying pollinators to prioritize and design conservation efforts. Adopting non-lethal sampling alternatives and reducing reliance on passive and destructive sampling is essential as species, such as the rusty-patched bumble bee, become listed as federally endangered or threatened. Furthermore, there are few insect studies that account for imperfect detection when analyzing survey data. In this study, we compared occurrence and detection probabilities of eight Bombus species based on local and surrounding habitat. We compared occupancy of Bombus species near cropland versus natural habitats while accounting for imperfect detection. We conducted presence-absence surveys in 2019 and 2021 in Minnesota. To assess variation in occurrence and detection by local habitat, we surveyed 63 sites directly adjacent to one of three local habitat types: crops, wetland, or woodland. To assess how occurrence and detection vary by surrounding habitat, we conducted surveys at 24 sites that differed in the amount of surrounding agriculture, developed, and natural habitat within a 10 km radius. The results of Bayesian multi-species occupancy modeling using local and surrounding habitat variables will be presented. Understanding how occurrence and detection differ based on local habitat type can help researchers optimize survey and monitoring efforts. Further, differences in occurrence and detection based on surrounding habitat can indicate species preferences as well as highlight areas in which habitat restoration may be needed.