KUKU

KU ScholarWorks

  • myKU
  • Email
  • Enroll & Pay
  • KU Directory
    • Login
    View Item 
    •   KU ScholarWorks
    • Dissertations and Theses
    • Dissertations
    • View Item
    •   KU ScholarWorks
    • Dissertations and Theses
    • Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    MODELING SPECIES DISTRIBUTIONS: APPLICATIONS AND METHODS FOR MARINE BIOGEOGRAPHY AND CONSERVATION

    Thumbnail
    View/Open
    Owens_ku_0099D_13884_DATA_1.pdf (18.07Mb)
    Issue Date
    2015-05-31
    Author
    Owens, Hannah L.
    Publisher
    University of Kansas
    Format
    119 pages
    Type
    Dissertation
    Degree Level
    Ph.D.
    Discipline
    Ecology & Evolutionary Biology
    Rights
    Copyright held by the author.
    Metadata
    Show full item record
    Abstract
    I employed multidisciplinary approaches for understanding distributions of marine fishes in the present, past, and future, and for considering more broadly the historical role of primary research in policy decisions. In chapter 1, I generated ecological niche models (ENMs) for Latimeria chalumnae using two different modeling algorithms; these models anticipated occurrences of L. chalumnae's sister species, L. menadoensis, but sample sizes were not large enough to assess the statistical significance of these species' niche similarity. Furthermore, the range of coelacanths may extend beyond their presently known distributions; future exploration may reveal additional populations of these elusive fishes. In chapter 2, I developed a holistic biogeographic history of codfishes in the subfamily Gadinae. I found both ecological niche and geographic distributions of gadine fishes to be largely conservative, but two clades, tomcods and crown cods, included both Pacific and Atlantic species. Divergence in both clades was estimated to have begun in the Pliocene; environmental tolerance reconstructions support temperate origins of both clades, and cyclical Arctic ice formation may have driven divergence. In chapter 3, I addressed the role of general circulation model (GCM) bias as a significant source of uncertainty in estimates of species' potential distributional responses to climate change. ENMs of 15 gadine species calibrated using an observation-based dataset and a dataset derived from the CCSM4 GCM showed areas of disagreement concordant with known GCM biases. Consciousness of bias in GCM data will allow researchers and policy makers to identify areas of particular concern for biodiversity more realistically. Finally, in chapter 4, I explored the evolution of the relationship between policy makers and researchers through the lens of the U.S. Fisheries Service. Building cooperative capacity between these two groups led to a more systematic understanding of the oceans, and thus to success in reducing numbers of overfished stocks.
    URI
    http://hdl.handle.net/1808/19185
    Collections
    • Dissertations [4623]
    • Ecology & Evolutionary Biology Dissertations and Theses [349]

    Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.


    We want to hear from you! Please share your stories about how Open Access to this item benefits YOU.


    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

    Browse

    All of KU ScholarWorksCommunities & CollectionsThis Collection

    My Account

    Login

    Statistics

    View Usage Statistics

    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

    The University of Kansas
      Contact KU ScholarWorks
    Lawrence, KS | Maps
     
    • Academics
    • Admission
    • Alumni
    • Athletics
    • Campuses
    • Giving
    • Jobs

    The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression and genetic information in the University’s programs and activities. The following person has been designated to handle inquiries regarding the non-discrimination policies: Director of the Office of Institutional Opportunity and Access, IOA@ku.edu, 1246 W. Campus Road, Room 153A, Lawrence, KS, 66045, (785)864-6414, 711 TTY.

     Contact KU
    Lawrence, KS | Maps