• Login
    View Item 
    •   Home
    • UA Graduate and Undergraduate Research
    • UA Theses and Dissertations
    • Dissertations
    • View Item
    •   Home
    • UA Graduate and Undergraduate Research
    • UA Theses and Dissertations
    • Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Spatio-Temporal Patterns of Jet Stream Influence on Phenology

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    azu_etd_17783_sip1_m.pdf
    Size:
    38.46Mb
    Format:
    PDF
    Download
    Author
    Hudson, Amy Rebecca
    Issue Date
    2020
    Keywords
    dendroclimatology
    jet stream
    length of season
    macrosystem ecology
    migration
    phenology
    Advisor
    Moore, David J.P.
    Trouet, Valerie
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    Atmospheric circulation patterns are the primary mechanism by which energy is distributed in the midlatitudes across terrestrial ecosystems. Plant and animal phenology integrate the influence of seasonal atmospheric circulation patterns on surface weather events. As these drivers of climate variability change, and are projected to change, it is important to quantify the observed response of ecosystem growth and processes to drivers of climate variability across scales. In this dissertation, I merge phenology, climatology, and dendrochronology disciplines, novel data availability, and research computing, to quantify and visualize the influence of jet stream variability on phenology across scales: from the individual species to the hemisphere, and from seasons to centuries. First, I examined the influence of multiple seasonal atmospheric circulation indices on a network of trees growing in semi-arid conditions at high altitudes in the Bighorn Mountains, WY (Hudson et al. 2019, Dendrochronologia; Appendix A). While all 11 sites shared a majority of common variance- suggesting a common climate driver- I found that winter and spring circulation pattern signals in annual rings were possibly modulated by microclimate conditions dictating snowpack and water availability into the growing season. I then expanded from one region to the Northern Hemisphere and contracted to the satellite period to determine for which regional ecosystems the spring and fall Northern Hemisphere Jet stream (NHJ) Indices (Belmecheri et al., 2017 Earth Interactions) influenced the length of the growing season (Hudson et al., in prep; Appendix B). Spring and/or fall NHJ influenced length of season for 30% of our domain, although similar NHJ shifts in the spring and fall resulted in very different LOS response- possibly linked to the seasonal limiting factor of temperature and its modulation on water availability for specific land cover and climate types. The final portion of this dissertation focused on North America, where I examined the influence of monthly jet stream position on cross-continental monarch migration, as estimated by annual overwintering acreage in Mexico (Hudson et al., in prep; Appendix C). Remarkably, multiple months of jet stream position across the continent corresponded with monarch migration due to the influence on monarch physiology, flight conditions, and resource availability. Overall, spatio-temporal patterns of NHJ influence on growth varied by season and were very much system dependent. These patterns can be used for model benchmarking and to prioritize land management and conservation efforts in a warming world. A macrosystem ecology framework of phenology that includes seasonal atmospheric circulation patterns allows us to ultimately increase our predictive power of ecosystem response to a changing climate by 1) moving beyond trends in mean states to consider the variability and extreme events ecosystems are exposed to, and 2) emphasizing the connectivity of the landscape- particularly important for migrating organisms and when aggregating land surface response to climate change.
    Type
    text
    Electronic Dissertation
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Graduate College
    Natural Resources
    Degree Grantor
    University of Arizona
    Collections
    Dissertations

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    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.