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ViewAttendees 22

SysEB

10-Minute Paper

10-Min: SysEB, Biodiversity, Conservation and Pollination

BID: A project to share biotic interaction and ecological trait data about bees (Hymenoptera: Anthophila)

On-Demand
On-Demand

    Presenting Author(s)

  • Katja C. Seltmann (she/her/hers)

    University of California Santa Barbara
    Santa Barbara, California

    • Co-Author(s)

  • JV

    Janice Van Wagner

    Cheadle Center for Biodiversity and Ecological Restoration, University of California Santa Barbara
    Los Angeles, California

  • RB

    Rachel Behm

    University of Central Florida
    Orlando, Florida

  • ZB

    Zachary Brown

    Mississippi Entomological Museum, Mississippi State University
    Starkville, Mississippi

  • ET

    Elaine Tan

    School of Biological Sciences, University of Utah, Utah

  • KL

    Kristi Liu

    Interdisciplinary Research Collaboratory, UCSB Library, University of California Santa Barbara
    Santa Barbara, California

We introduce the Bee-Interaction-Database (BID), a project to create an open dataset about bee biotic interactions and other traits. Traits such as floral specialization, behavior, seasonality, parasites, nesting biology, body size and more may be included in the scientific literature, on natural history specimens, or observable in photographs (i.e., iNaturalist). Yet this information is often time-intensive to collect, hidden in the literature, and difficult to combine into one dataset because no uniform method for sharing traits and biotic information is used.
To date, we have extracted close to 3,000 unique bee observations from the scientific literature and integrated them into the Global Biotic Interactions (GloBI - https://www.globalbioticinteractions.org/), online infrastructure for sharing species interaction data. An early observation in our project is that trait data and interaction data are frequently part of the same recorded observation. In addition, authors frequently do not publish or include the raw data that goes into analyses, such as the study locality or specific interactions observed for the study. In conclusion, we hope to encourage new methods for publishing interaction and trait data that improves the reusability of research and provides authors a means of openly sharing trait data in the name of biodiversity research. https://github.com/Extended-Bee-Network/bee-interaction-database