• Login
    View Item 
    •   Home
    • University of Alaska Fairbanks
    • UAF Graduate School
    • Marine Sciences
    • View Item
    •   Home
    • University of Alaska Fairbanks
    • UAF Graduate School
    • Marine Sciences
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Scholarworks@UACommunitiesPublication DateAuthorsTitlesSubjectsTypeThis CollectionPublication DateAuthorsTitlesSubjectsType

    My Account

    Login

    First Time Submitters, Register Here

    Register

    Statistics

    Display statistics

    Synthesis and modelling of zooplankton at pan-Arctic scales

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Rutzen_I_2017.pdf
    Size:
    22.56Mb
    Format:
    PDF
    Download
    Author
    Rutzen, Imme
    Chair
    Hopcroft, Russel R.
    Committee
    Huettmann, Falk
    Coyle, Kenneth O.
    Gradinger, Rolf R.
    Weingartner, Thomas J.
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/11122/7636
    Abstract
    Zooplankton are an important link between primary producers and higher trophic levels. They are sensitive indicators of change in the Arctic ecosystem due to their relatively short lifespan. To date, the greatest impediment to detect changes in the Arctic zooplankton community at pan-Arctic scales is the absence of a reference baseline. To contribute to baseline data, I taxonomically analyzed zooplankton samples from the Canada Basin collected during August and September of 2003-2006. Over 50 taxonomic groups were identified, but copepods dominated abundance and biomass. Non-copepod abundance was dominated by larvaceans, while non-copepod biomass was dominated by chaetognaths. I applied multivariate analysis to look at patterns in community similarity, finding a tendency to separate the years sampled. The sample analysis served the larger goal of my research: collation of zooplankton data from online databases, reports, papers, and through scientific cooperation with scientists throughout the Arctic. In total, 13,014 zooplankton samples were assembled, containing over 200,000 individual taxonomic records spanning the period from 1921 to 2012. I also assembled 25 environmental layers for variables of possible influence on zooplankton distribution. Using these data, I employed the Geographic Information System ArcMap, as well as the data mining approaches TreeNet and RandomForests to predict the climatological mean distribution and abundance of seven ecologically and numerically important epipelagic copepod species (Calanus finmarchicus, C. glacialis, C. hyperboreus, Metridia longa, M. pacifica, N. cristatus, and P. glacialis) on a pan-Arctic scale from 60° - 90°N. The model predicted the overall distribution and abundance characteristics of each species well, but it also predicted potential niches for these or sibling species in areas where they are known to be absent. The model correctly associated species advected to the Arctic with corresponding water masses, while Arctic endemic species were more strongly associated with geographic variables. Continued assimilation of new data, plus rescuing and consolidating older datasets, are critical pathways toward both enhancing this baseline, and building the observational time-series necessary for studying changes in the Arctic zooplankton community.
    Description
    Dissertation (Ph.D.) University of Alaska Fairbanks, 2017
    Date
    2017-05
    Type
    Dissertation
    Collections
    Marine Sciences

    entitlement

     
    ABOUT US|HELP|BROWSE|ADVANCED SEARCH

    The University of Alaska Fairbanks is an affirmative action/equal opportunity employer and educational institution and is a part of the University of Alaska system.

    ©UAF 2013 - 2023 | Questions? ua-scholarworks@alaska.edu | Last modified: September 25, 2019

    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.