Shared more. Cited more. Safe forever.
    • advanced search
    • submit works
    • about
    • help
    • contact us
    • login
    View Item 
    •   MOspace Home
    • University of Missouri-Columbia
    • Office of Undergraduate Research (MU)
    • Undergraduate Research and Creative Achievements Forum (MU)
    • 2004 Summer Undergraduate Research and Creative Achievements Forum (MU)
    • View Item
    •   MOspace Home
    • University of Missouri-Columbia
    • Office of Undergraduate Research (MU)
    • Undergraduate Research and Creative Achievements Forum (MU)
    • 2004 Summer Undergraduate Research and Creative Achievements Forum (MU)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    advanced searchsubmit worksabouthelpcontact us

    Browse

    All of MOspaceCommunities & CollectionsDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis SemesterThis CollectionDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis Semester

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular AuthorsStatistics by Referrer

    A habitat model to predict deer-vehicle accidents in Columbia, Missouri

    Galoskowsky, Eric
    View/Open
    [PDF] HabitatModelPredictDeer.pdf (8.491Kb)
    Date
    2004
    Contributor
    University of Missouri--Columbia. Office of Undergraduate Research
    Format
    Presentation
    Metadata
    [+] Show full item record
    Abstract
    Studies show that in a suburban setting white-tailed deer live comfortably with humans and human-associated disturbances. Wildlife ecologists have developed models to predict where deer occur using information such as; seasonal deer movement, forest fragmentation and habitat quality. Many of these models use land use as predictors of deer occurrence. However, urban ecologists know that urban areas are more complex, and that traditional land cover measures are not adequate for describing this complexity. My study will predict where deer occur by examining land cover and/or land use in an urban area in relation to deer-vehicle accidents. The unique feature of this study will concentrate on mapping detailed biotopes to better define deer habitat.
    URI
    http://hdl.handle.net/10355/1679
    Part of
    2004 Summer Undergraduate Research and Creative Achievements Forum (MU)
    Collections
    • 2004 Summer Undergraduate Research and Creative Achievements Forum (MU)

    Send Feedback
    hosted by University of Missouri Library Systems
     

     


    Send Feedback
    hosted by University of Missouri Library Systems