Roads are essential in modern societies, but as populations grow and traffic volumes rise, roads will continue to be built and expanded. As a result, the effects that roads have on wildlife will likely intensify, making it imperative that managers understand those effects so mitigation can be directed accordingly. In Utah, considerable areas of mule deer (Odocoileus hemionus) habitat have been bisected by roads. Mule deer are commonly involved in vehicle collisions and there is concern that roads and vehicle traffic are impacting populations. This project was conducted to determine the number and demographic effects of deer-vehicle collisions, to examine how movements and survival of deer were impacted by roads, and to develop a smartphone-based reporting system for wildlife-vehicle collisions. Accurate estimates of DVCs are needed to effectively mitigate the effects of roads, but great uncertainty exists with most deer-vehicle collision estimates. I estimated the number of deer-vehicle collisions using carcass surveys, while accounting for several sources of bias to improve accuracy. I estimated that 2-5 % of the statewide deer population was killed in vehicle collisions annually. The effect that vehicle collisions have on deer abundance depended not only on the number of deer killed but also on the demographic groups removed. I found that 65 % of deer killed in vehicle collisions were female and 40 % were adult females. As female deer are the primary drivers of population growth, my data suggest vehicle collisions could significantly affect population abundance. However I was unable to detect a decreasing trend in deer abundance. Deer have distinct movement patterns that affect their distribution in relationship to roads. I analyzed deer movements during two consecutive winters (2010-11 & 2011-12) to determine what effect climate had on deer movements and vehicle collision rates. I observed that as snow depth decreased, the distance that deer occurred from roads increased. As a result road crossing rates declined, as did the number of vehicle collisions. This suggests a causal mechanism by which winter conditions influence vehicle collision rates. Currently there is a need for an efficient wildlife-vehicle collision data collection. I envisioned and, working with colleagues, helped develop a smartphone-based system for reporting wildlife-vehicle collision data. The WVC Reporter system consisted of a mobile web application for data collection, a database for centralized storage of data, and a desktop application for viewing data. The system greatly improved accuracy and increased efficiency of data collection efforts, which will likely result in improved mitigation and ultimately increased safety for motorists and deer.

Estimates of population abundance and survival are critical for effective wildlife management. Obtaining estimates of these kind using traditional wildlife monitoring techniques (i.e. ground and aerial surveys) has proven to be difficult, especially for species that are wide ranging and exist in small, patchily distributed populations. My objective was to implement fecal DNA-based capture-recapture surveys to estimate abundance and survival of two different ungulate populations that inhabit the deserts of southeastern California. I also compared fecal DNA-based capture-recapture techniques to traditional methods by evaluating the costs and precision associated with both methods. Using artificial water sources as focal sampling sites, I performed sampling during the summers of 2015, 2016, and 2017 in the Mojave and Sonoran Deserts of California. I was able to obtain reasonably precise estimates of abundance and survival for both species. To my knowledge, my study provides the first abundance and survival estimates of desert mule deer in California in over 13 years. Additionally, my study shows that when compared to traditional methods, fecal DNA-based capture recapture techniques can achieve much higher precision at a fraction of the cost.

Three experiments were conducted to assess the potential for using Spanish goats to manage Gambel oakbrush winter range, dominated by Gambel oak (Quercus gambelii), for mule deer (Odocoileus hemionus). Summer- time food selection of goats, effects on plant community composition, and consequent effects on mule deer nutrition and foraging behavior were examined. An apparent preference for juvenile oak browse, and low use of oak twigs was observed. Selection for juvenile browse may have been facilitated by the retarded phenology of oak as compared to that of associated flora. This differential was maintained by repeated browsing. Animal performance, reflected in mass-specific gain rates, varied markedly. However, poor performance when observed, was not correlated with high juvenile oak content in diets. Goat browsing did not affect density of any shrub species. Stem size distributions changed in browsed oak populations only; skewness of these increased over time because of sprouting. Sprout weights increased in browsed oak populations, but declined in comparably browsed serviceberry (Amelanchier alnifolia) populations. The only other significant sprout response was a numerical increase in browsed snowberry (Symphoricarpos oreophilus) populations. Relationships between stem size and stem productivity in heavily browsed oak and serviceberry were characterized by lower slopes than those for adjacent control populations. Conversely, relationships in rabbitbrush (Chrvsothamnus viscidiflorus) populations, which were little used, were characterized by higher slopes than those for adjacent control populations. Sagebrush (Artemisia tridentata wvominqensis) production also responded positively, but via increased intercept. Browsing reduced productivity of both serviceberry and oak, but enhanced that of sagebrush. A positive production response was suggested for herbaceous species. Forage-base changes induced by goats caused wintering deer to increase the proportion of sagebrush in their diets under snow-covered conditions but not under snow-free conditions. Under snow-covered conditions, deer using goat-browsed pastures consumed diets higher in dry matter digestibility, but not protein, than those consumed by deer in control pastures. Dietary quality was unaffected by prior goat browsing under snow- free conditions. Furthermore, quality of diets consumed under snow-free conditions was not better than that consumed under snow-covered conditions.

I studied the behaviors, movement dynamics, habitat relationships, and population characteristics of Rocky Mountain mule deer (Odocoileus hemionus) using urban and rural winter ranges in Cache Valley, Utah , from January 1994 to February 1998. There were 2 goals to my research endeavors. The first was to assess how and why the behaviors and demographic characteristics of urban deer differed from those of rural deer. The second was to assess the scale-dependent responses to habitat and the scale-dependent patterns of habitat use by deer living in each area. To accomplish the first goal, I compared the prevalence of migration, the spatial and temporal patterns of migration, and the spatial patterns of home range use between urban and rural deer. I also compared deer reproduction and population density in each area. I then explain how behavioral and demographic dissimilarities between urban and rural deer may have corresponded to differences in their net energetic gains (NEG) on seasonal ranges. These explanations, when combined graphically, generated a time-specific hypothesis of lower NEG by urban deer on a year-round basis. To accomplish the second goal, I developed new methodologies for analyzing animal movement pathways (which represent signatures of how animals respond to habitat), and animal patterns of habitat use . These methodologies explicitly incorporated the effects of spatial scale by employing fractal geometry and information theory. The results of these analyses showed that urban and rural deer responded to their habitats in similar ways at coarse resolutions of analysis (100-600 m), but differently at fine resolutions of analysis ( 4-60 m). I argue that similarities in habitat response at coarse resolutions reflected a common movement process that allowed deer maximize use of their home ranges while minimizing energetic expenditures. With respect to patterns of habitat use, urban deer concentrated in areas with concealment vegetation , which was highly fragmented across all resolutions of analysis. Rural deer, on the other hand, dispersed throughout areas containing shrubby vegetation at fine resolutions, and south-facing slopes at coarse resolutions. Interpretation of these results is discussed in detail.

Widely distributed species are experiencing a continual pattern of range shifts due to anthropogenic expansion and climate change, forcing these species into novel environments and out of critical habitat. The ability to estimate current and forecasted states of demographic parameters of species distributed along a gradient of environments is becoming increasingly important in a time of large-scale environmental change. Consulting models that provide temporally relevant estimates of population dynamics based on the latest realizations of environmental conditions can allow for informed, quick and decisive conservation and management actions. Modelling the drivers of demography across a wide range of environmental conditions will provide a more comprehensive understanding of how species will respond to novel environments. In this study we provide an example of relating seasonal-environmental variables to survival in a widely distributed ungulate species. We used a mule deer (Odocoileus hemionus) survival dataset collected in Utah with seven sites distributed across the multiple ecoregions of the state, allowing for the elucidation of relationships across a variety of environmental conditions. Multivariate analyses predicting survival of young and adult females were performed using geographic location, elevation, and seasonal satellite-derived primary productivity data and weather variables. We developed frameworks for estimating past and current states of survival and predicting short-term (sub-year) forecasts of survival. Furthermore, we investigated adaptive modelling techniques for increasing the certainty of the forecasted predictions of survival. We found that increased winter precipitation had a negative effect on survival across the state. Survival was lower in the northern region of the state and in higher elevations. Furthermore, measures of summer primary productivity had a positive relationship with survival. Lastly, our adaptive modelling demonstration shows that uncertainty of forecasted survival predictions can be reduced with the addition of data. This study provides a framework for developing models that will provide invaluable information to managers in a time of large-scale environmental change.

The dynamics of pathogen and host relationships relative to disease transmission in wildlife populations are important ecological processes to understand, particularly since spatial dynamics of disease can be driven by movement, behavior, and dispersal of animals. Chronic Wasting Disease (CWD) is an example of this important interface, where little is known regarding origin of the disease or routes of transmission. Surveillance data for CWD in free-ranging mule deer indicates that breeding-age male deer have 2-4 times higher prevalence rates than females or younger age males. In an effort to understand differences that might increase risk for exposure to CWD infective agents, I used GPS data to examine breeding behavior and home range sizes of mule 11 deer. GPS radiocollars were placed on adult (> 2 ½ years) males, females, and young ( < 2 ½ years) males. Data collected during the breeding season was used to infer visitation rates of males to females. Cluster analysis was used to separate data into periods of movement (spatio-temporal clusters) and non-movement. Females formed more spatio-temporal clusters and movement paths than males. However, males spent more time moving, had more long-term periods of movement, moved an estimated 1 km/day more than females, and had more tortuous movement paths. Male home ranges for winter, summer, and breeding seasons were also larger than those of females. Overall, data indicates that males may have an increased risk of exposure to CWD relative to females, because of larger movements and greater space use. These male behavioral differences may result in increased encounter rates with CWD infectious material through greater exposure in the environment to sources such as carcasses from infected animals, their excreta, or contaminated soils. Furthermore, during the breeding season increased male sociality, as suggested by increased movement rates and movement path tortuousity, combined with larger space use may further enhance direct contact with infected individuals and increase exposure to excreta sources such as feces and alimentary secretions due to licking and tending behaviors.

Cougar (Puma concolor) predation has been identified as being one of several factors contributing to the decline of mule deer (Odocoileus hemionus) throughout the Western United States. In order to better understand how these elusive felines utilize their surroundings and prey, I examined and analyzed cougar predation behavior in North-Central Utah, using global positioning systems (GPS) data from 2002-2010. Twenty-three cougars were fitted with GPS collars and monitored for prey caching behavior. In total 775 potential cache sites were visited and 546 prey remains found. Mule deer comprised the majority of prey at cougar cache sites, but 11 other species were also found. Collectively, adult female mule deer were killed more than any other demographic class. Proportionally there was no difference in the sex or age class of deer killed by cougars in three different population segments, but seasonal differences were found in the number of kills made between cougar groups. Female cougars with kittens had a higher predation rate than males or solitary females, and seasonally more kills were made in the winter vs. summer. Cougars spent an average of 3.3 days on deer kills, and 6.2 days on elk kills. Habitat analyses suggested that cougars preferentially used Gambel oak (Quercus gambelii) over other land cover types when caching prey, as well as selected unburned over burned areas for caching and foraging on prey. These results suggest that cougars utilize dense stands of vegetation cover when stalking and concealing their prey. Wildlife managers may want to consider the use of prescribed burns in areas of high cougar predation on mule deer. This habitat manipulation tool could simultaneously help mule deer populations by reducing the percent of stalking cover afforded to cougars when attempting to kill prey, along with increasing nutrient levels of newly burned foliage and allow for an increased diversity in forb and shrub species available to mule deer.

Chronic wasting disease (CWD) was detected in Saskatchewan wild deer populations in 2000 which prompted disease management actions consisting of population reduction. Little is known about population structure, health status, interactions or movement patterns of deer in Saskatchewan and these factors are important in designing a management program for CWD. As part of an ongoing study on deer movement patterns of wild deer in southern Saskatchewan, a survey was conducted to: 1) determine prevalence of CWD and selected infectious agents in mule deer (Odocoileus hemionus) and white-tailed deer (Odocoileus virginianus), and 2) identify infectious agents which could be used as a surrogate measure of the effectiveness of the adopted CWD management strategies. Tonsil biopsies, feces and blood were collected from 254 mule deer and 43 white-tailed deer during winters of 2006, 2007 and 2008. Immunohistochemical staining of tonsil biopsies for CWD revealed a prevalence of 2.4% (6/249) in mule deer and 0% (0/43) in white-tailed deer. Parasitological investigation of 253 fecal samples from mule deer identified eggs of nematodes in the superfamily Trichostrongyloidea (29.2%); and parasitic stages of the following genera: Nematodirus (7.1%), Skrjabinema (14.3%), Trichuris (0.8%), Moniezia (16.2%), Thysanosoma (12.2%), Orthostrongylus (35.2%), Eimeria (13.4%) and Giardia (0%, 0/137). A similar investigation of 42 white-tailed deer fecal samples identified parasitic stages of nematodes in the super family Trichostrongyloidea (4.8%) and in genera of Orthostrongylus (2.4%), Moniezia (2.4%) and Eimeria (2.4%). Dorsal-spined larvae were detected in 2.4% of the white-tailed deer fecal samples. In serum samples from 253 mule deer, antibodies (Ab) were detected against bovine herpesvirus1 (BoHV-1) (34.8%), parainfluenza-3 (PI-3) (56.5%), bovine virus diarrhoea virus (BVDV-1) (30.8%) and Neospora caninum (15.4%, 36/245). In serum samples from 40 white-tailed deer, Ab to BoHV-1(32.5%), PI-3 (35%), BVD-1 (12.5%) and Neospora caninum (20.5%, 8/39) was detected. Based on relative host specificity, moderate prevalence and horizontal routes of transmission, herpesvirus, parainfluenza 3, Eimeria and Skrjabinema were identified as infectious agents which could potentially be used to evaluate the effectiveness of disease management strategies, which may in turn predict the response of CWD to these same strategies. Using polymerase chain reaction (PCR) a herpesvirus was detected, in 42.1% (40/95) of retropharyngeal lymph nodes from hunter-submitted mule deer and white-tailed deer heads from Saskatchewan in 2007. DNA sequences of the partial DNA polymerase gene from this virus were 98 - 100% identical to mule deer lymphotropic herpesvirus (mule deer-LHV). A 3.6 kb contiguous sequence of mule deer-LHV genome was generated by genome walking (GenBank Accession number: HM014314). Use of a mule deer-LHV-specific PCR on buffy coat samples collected during winters of 2007 and 2008, detected mule deer-LHV in 42.1% (67/158) of mule deer and 33.3% (8/24) of white-tailed deer. Very little DNA sequence diversity in the partial sequences of glycoprotein B (gB) gene and the intergenic spacer regions between DPOL and gB gene of mule deer-LHV was observed among deer from different wildlife management zones. Mule deer-LHV is also a potential marker for evaluating the effectiveness of disease management activities because of its moderate prevalence, host specificity, ease of sample collection and the availability of a rapid and low-cost method for its detection. A variable region of the mule deer-LHV genome needs to be identified if this virus to be used as an inferential tool for studying host population structure.

Chronic wasting disease (CWD) was detected in Saskatchewan wild deer populations in 2000 which prompted disease management actions consisting of population reduction. Little is known about population structure, health status, interactions or movement patterns of deer in Saskatchewan and these factors are important in designing a management program for CWD. As part of an ongoing study on deer movement patterns of wild deer in southern Saskatchewan, a survey was conducted to: 1) determine prevalence of CWD and selected infectious agents in mule deer (Odocoileus hemionus) and white-tailed deer (Odocoileus virginianus), and 2) identify infectious agents which could be used as a surrogate measure of the effectiveness of the adopted CWD management strategies. Tonsil biopsies, feces and blood were collected from 254 mule deer and 43 white-tailed deer during winters of 2006, 2007 and 2008. Immunohistochemical staining of tonsil biopsies for CWD revealed a prevalence of 2.4% (6/249) in mule deer and 0% (0/43) in white-tailed deer. Parasitological investigation of 253 fecal samples from mule deer identified eggs of nematodes in the superfamily Trichostrongyloidea (29.2%); and parasitic stages of the following genera: Nematodirus (7.1%), Skrjabinema (14.3%), Trichuris (0.8%), Moniezia (16.2%), Thysanosoma (12.2%), Orthostrongylus (35.2%), Eimeria (13.4%) and Giardia (0%, 0/137). A similar investigation of 42 white-tailed deer fecal samples identified parasitic stages of nematodes in the super family Trichostrongyloidea (4.8%) and in genera of Orthostrongylus (2.4%), Moniezia (2.4%) and Eimeria (2.4%). Dorsal-spined larvae were detected in 2.4% of the white-tailed deer fecal samples. In serum samples from 253 mule deer, antibodies (Ab) were detected against bovine herpesvirus1 (BoHV-1) (34.8%), parainfluenza-3 (PI-3) (56.5%), bovine virus diarrhoea virus (BVDV-1) (30.8%) and Neospora caninum (15.4%, 36/245). In serum samples from 40 white-tailed deer, Ab to BoHV-1(32.5%), PI-3 (35%), BVD-1 (12.5%) and Neospora caninum (20.5%, 8/39) was detected. Based on relative host specificity, moderate prevalence and horizontal routes of transmission, herpesvirus, parainfluenza 3, Eimeria and Skrjabinema were identified as infectious agents which could potentially be used to evaluate the effectiveness of disease management strategies, which may in turn predict the response of CWD to these same strategies. Using polymerase chain reaction (PCR) a herpesvirus was detected, in 42.1% (40/95) of retropharyngeal lymph nodes from hunter-submitted mule deer and white-tailed deer heads from Saskatchewan in 2007. DNA sequences of the partial DNA polymerase gene from this virus were 98 - 100% identical to mule deer lymphotropic herpesvirus (mule deer-LHV). A 3.6 kb contiguous sequence of mule deer-LHV genome was generated by genome walking (GenBank Accession number: HM014314). Use of a mule deer-LHV-specific PCR on buffy coat samples collected during winters of 2007 and 2008, detected mule deer-LHV in 42.1% (67/158) of mule deer and 33.3% (8/24) of white-tailed deer. Very little DNA sequence diversity in the partial sequences of glycoprotein B (gB) gene and the intergenic spacer regions between DPOL and gB gene of mule deer-LHV was observed among deer from different wildlife management zones. Mule deer-LHV is also a potential marker for evaluating the effectiveness of disease management activities because of its moderate prevalence, host specificity, ease of sample collection and the availability of a rapid and low-cost method for its detection. A variable region of the mule deer-LHV genome needs to be identified if this virus to be used as an inferential tool for studying host population structure.

No description available.