• Login
    View Item 
    •   Home
    • University of Alaska Fairbanks
    • UAF Graduate School
    • Biological Sciences
    • View Item
    •   Home
    • University of Alaska Fairbanks
    • UAF Graduate School
    • Biological 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

    Socio-ecological drivers of resource selection and habitat use by moose in Interior Alaska

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Brown_uaf_0006E_10542.pdf
    Size:
    9.017Mb
    Format:
    PDF
    Download
    Author
    Brown, Casey L.
    Chair
    Kielland, Knut
    Euskirchen, Eugenie
    Committee
    Brainerd, Scott
    Brinkman, Todd
    Ruess, Roger
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/11122/6819
    Abstract
    Sustainably managing wildlife with diverse utilization values is one of the greatest challenges facing contemporary wildlife management. These challenges can be amplified under changing environmental and socio-economic conditions. In Alaska, boreal forest systems are experiencing rapid change as a result of climate warming. Alaska’s boreal region has warmed twice as rapidly as the global average, affecting a host of processes including an increase in wildfire frequency, extent, and severity. Wildfire is the most common ecological disturbance in the Alaskan boreal forest and an important driver of landscape heterogeneity, burning on average 1 to 2 million acres per year. Fire severity is a particularly important factor dictating the regeneration of deciduous species, and one that can influence the overall quality of habitat for herbivores, such as moose (Alces alces). However, the relationships between the availability and duration of biomass production and moose habitat selection are largely unknown. Additionally, the effects of fire on wildlife resources in Alaska can have important consequences for boreal social-ecological systems as well. Fire-related changes to the community composition of forest stands would likely affect the densities of species that human communities rely on for hunting and trapping. In Interior Alaska, where natural wildfire is the primary means of increased browse production for moose, managers may want to consider incorporating burns into management plans while paying particular attention to hunter accessibility. However, an increase in hunter activity into moose habitat could result in changes to moose distribution and activity patterns near trails and roads. To examine these questions I utilized telemetry data from 26 moose along with methods in spatial ecology, plant-animal interactions, resource selection and human dimensions of wildlife research to predict the influence of an ecological disturbance (fire) and an anthropogenic disturbance (hunter activity) on moose habitat use. I used dynamic Brownian bridge movement models (dBBMM) in conjunction with browse assessment surveys to examine how fire severity, via its control over vegetation composition, forage production and nutritional quality, affect habitat use patterns of moose across their seasonal home ranges and core use areas. To assess the effects of hunter activity on moose habitat use, I created fine-scale stepselection models to test whether habitat selection and movement patterns were affected by spatio-temporal variation in risk from hunting activity. Additionally, from August-October, I used a camera trap array to collect field data on human activity (off-road vehicles, automobiles, 4x4 trucks, dirt bikes, and hunters afoot) together with the RandomForests algorithm to create high-resolution hunter distribution models. Finally, to integrate my research within a socialecological framework, I examined the interactions between wildfire, forage production and hunter access on management scenarios overtime. In winter, moose preferred low-severity sites more than high and moderate-severity sites, but in summer, moose selected for high-severity sites. Forage biomass production ranged from 62 to 243 kg/ha/yr across all sites during winter within the Hajdukovich Creek Burn, but production and availability varied depending on fire severity and browse species. These results indicate that differing distributions of wildfire severity across a landscape can create a dynamic, mosaic of habitat patches that may optimize and extend the value of burns over time for moose. I found that while moose selected habitat closer to trails and roads, they also avoided areas with more hunting activity. Finally, my management scenarios provide a framework for managers to adapt goals and actions to changing conditions that can affect moose-hunter systems. I recommend that wildlife conservation and management decisions consider these methods as we seek to sustainably manage wildlife for future generations during a time of rapid socio-ecological change in Alaska.
    Description
    Dissertation (Ph.D.) University of Alaska Fairbanks, 2016
    Table of Contents
    Chapter 1. Introduction -- Chapter 2. Applications of resilience theory in management of a moose hunter system in Alaska -- Chapter 3. Fire-mediated patterns of habitat use by male moose in boreal Alaska -- Chapter 4. Connecting moose movement and habitat selection to spatio-temporal variation in risk during the hunting season -- Chapter 5. General conclusions.
    Date
    2016-08
    Type
    Dissertation
    Collections
    Biological 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.