Global biodiversity is in decline as a result of unprecedented human alterations to the
earth’s land cover. Understanding the ecological mechanisms of these large-scale changes in biodiversity is imperative in furthering our knowledge on the effects these alterations may have on animal behaviour and consequently on populations, allowing researchers and managers to effectively conserve species. During the last decade, there have been reports of moose populations both increasing and decreasing in North America due to a variety of factors (e.g., climate change, habitat disturbance, disease, etc.). Within British Columbia, wildlife managers have reported moose population declines of up to 50 – 70%, while other areas have remained stable. These changes have coincided, spatially and temporally, with the largest recorded mountain pine beetle (Dendroctonus ponderosae) outbreak. The outbreak resulted in extensive logging and road building in attempts to recover economic value from the beetle killed trees, resulting in drastic changes to the landscape. Understanding the effects that a highly disturbed landscape has on a species is critical for effective management and conservation.
To investigate this, I examined the seasonal response of female moose to landscape
change caused by the Mountain Pine Beetle outbreak and attendant salvage logging
infrastructure in the Interior of British Columbia on the Bonaparte Plateau. First, I used a cluster analysis framework to develop biologically relevant seasons for female moose using individual movement and habitat use. I then used this temporal framework to develop seasonal home ranges for each individual moose. Second, I modeled the seasonal habitat selection of female moose to examine how moose respond to salvage logging infrastructure (i.e., dense road network and extensive cutblocks) using resource selection functions in an information-theoretic framework. We tested whether predation risk, forage availability or the cumulative effects of salvage logging best predicted moose space-use.
Moose movement data clustered into five biologically relevant seasons, which were consistent with our biological and ecological knowledge of moose in the study area; however, these seasons and the size of the range differed from other seasons defined using alternative methods in the region. Across all seasons, the cumulative effects of forage availability and risk best predicted female moose distribution. In the calving and fall seasons, the top risk model best predicted moose habitat selection while the top forage availability model better explained moose habitat selection in spring, summer, and winter. Our results identified the importance of defining biological seasons using empirical data and how these seasons can differ from arbitrarily defined seasons, as well as the implications these can have in subsequent analysis and management. Additionally, we found that moose are seasonally trading the benefits of foraging for predation risk in these highly disturbed landscapes, using some aspects of salvage logging. My results bring perspective on how moose are using a highly disturbed landscape at the seasonal scale and a nuanced approach to landscape management. / Graduate
| Identifer | oai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/12093 |
| Date | 01 September 2020 |
| Creators | Francis, Alexandra |
| Contributors | Fisher, Jason Thomas, Volpe, John |
| Source Sets | University of Victoria |
| Language | English, English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
| Rights | Available to the World Wide Web |
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