Alces (A Journal Devoted to the Biology and Management of Moose)
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    997 research outputs found

    A METHODOLOGICAL COMPARISON AMONG DNA SOURCE TYPES FOR MOOSE GENOTYPING

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    Population genetic analyses for moose have been based on DNA extracted from blood and other body tissues. Non-invasive sampling of fecal pellets is another potential source of DNA. We compared DNA extraction from blood, liver tissue, and fecal pellet samples from moose in Minnesota and Yellowstone National Park, USA. Extracted DNA from all source types was sufficient for genotyping using 15 microsatellites. DNA extracted from fecal pellets was of lower quality and quantity than DNA extracted from blood and tissue. We provide comparisons of efficiency and effectiveness of DNA extraction protocols for blood, tissue, and fecal pellets, and demonstrate the suitability of using DNA extracted from non-invasively sampled material in moose

    Edmund (Ed/Eamon) S. Telfer

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    REPRODUCTIVE PARAMETERS OF MOOSE DURING POPULATION EXPANSION IN NORTH DAKOTA

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    Understanding reproductive parameters of a population is vital to management, especially during periods of population fluctuation. Therefore, our objective was to provide the first estimates of reproductive parameters such as pregnancy rates, litter size, fecundity rates, conception dates, and fetal sex ratios for a moose (Alces alces) population in North Dakota, USA. Between 1978 and 1986, the North Dakota Game and Fish Department necropsied 54 hunter-killed cow moose which were all harvested after the rut (10 November to 12 December). Pregnancy rates for calves (n = 7), yearlings (1.5-years-old, n = 6), and adults (> 2.5-years-old, n = 41) were 0%, 100% and 95%, respectively. Mean conception date was 2 October. Overall, mean litter size was 1.76 fetuses, twinning rate was 73.3%, and mean fecundity was 1.66 fetuses and 0.85 female fetuses/cow. Fetal sex ratio did not differ from the expected 50:50 ratio, but the odds of producing at least one male calf increased with dam age, but not dam weight or litter size. This population displayed reproductive parameters consistent with an irruptive and expanding moose population

    STATUS AND MANAGEMENT OF MOOSE IN THE PARKLAND AND GRASSLAND NATURAL REGIONS OF ALBERTA

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    Moose (Alces alces) naturally colonized the Parkland Natural Region of Alberta during the 1980s and early 1990s, and later colonized the Grassland Natural Region by the early 2000s. We summarize population data during 1996–2016 for these regions, examining density, population trends, productivity, distribution, management, and moose-human conflicts to determine population status and sustainability. Within the Parkland, aerial surveys from one frequently monitored Wildlife Management Unit (WMU) indicated a significant increase (R2 = 0.7476, P < 0.001) in density, representing an annual rate of change of 1.07. Pooled data from an additional 21 Parkland WMUs indicated a mean annual rate of change of 1.11. Mean density for the 22 Parkland WMUs over the study period was 0.19 ± 0.06 moose/km2, and aerial surveys indicated a mean of 74.4 ± 3.6 calves/100 cows and 51.9 ± 2.9 bulls/100 cows. Within the Grassland, winter aerial survey data from 4 WMUs indicated a mean density of 0.05 ± 0.01 moose/km2, and 72.5 ± 6.75 calves/100 cows and 108.8 ± 34.4 bulls/100 cows. Hunting in these regions has been managed with a limited entry hunt. Resident rifle hunting opportunity for moose in the Parkland and Grassland increased 4.2-fold between 1996 and 2015. Opportunity in this region also represented an increasing proportion of that available province-wide, from 3.4% in 1996 to 19.8% in 2015

    MOOSE POPULATION DYNAMICS DURING 20 YEARS OF DECLINING HARVEST IN BRITISH COLUMBIA

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    Licenced harvest of moose (Alces alces) in British Columbia, Canada declined by approximately half over the 20-year period from 1996–2015. To better understand changes in moose populations coinciding with this period of declining harvest, we modelled population dynamics within 31 Game Management Zones (GMZs). We used aerial survey data (180 density and 159 composition surveys) combined with licensed harvest to develop 4 competing statistical models to assess population dynamics based on constant parameters and temporal trends in calf:cow ratios at 6 months, juvenile survival from 6–18 months, or cow survival. The models indicated that moose populations declined (λ < 1) in 7 GMZs (23%) from 1996–2005 and in 22 GMZs (71%) from 2006–2015. Over the 20-year period, the best model was fit with declining trends in calf:cow ratios in 8 GMZs, declining juvenile survival in 6 GMZs, and declining cow survival in 8 GMZs. Population growth rate was slightly reduced in those GMZs where licenced antlerless (cow and calf) hunting occurred but was not considered the primary factor causing population decline. Total licenced bull harvest influenced bull:cow ratios that were significantly lower in 2006–2015 (mean = 37:100) than 1995–2005 (mean = 48:100); significant predictive relationships existed between harvest rates and bull:cow ratios. Provincial moose numbers and harvest were highly correlated (r = 0.81) suggesting that declining harvest was a reaction to declining population trends. We found that the provincial moose population increased 6% from 1996–2005, subsequently declined 32% from 2006–2015, and declined 29% overall during the 20-year study period

    SELECTIVE HABITAT USE BY MOOSE DURING CRITICAL PERIODS IN THE WINTER TICK LIFE CYCLE

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    High calf mortality attributed to winter tick (Dermacentor albipictus) parasitism occurs in moose (Alces alces) populations along their southern range in the northeastern United States. We analyzed habitat use of cow and calf moose during the critical drop-off and questing periods in the winter tick life cycle to determine a potential relationship between tick density and habitat. We measured habitat use using geospatial analyses of locational data from > 200 radio-marked animals at 3 sites in New Hampshire and Maine. Moose selected for optimal habitat, defined as 4–16 year-old forest openings, regardless of season or site; this was the only land cover type used more than available (1.1–2.1X availability in home range, 1.2–3.1X availability in core range). Further, the proportional availability of optimal habitat within overlapping portions of seasonal home and core ranges exceeded the absolute proportion of optimal habitat within any one range. Temporal use of optimal habitat, which is available in relatively low proportion (15–20%) across the landscape, likely exceeds the geospatial estimates of use because moose spend 30–40% of daily activity foraging. We conclude that disproportionally abundant densities of winter ticks exist in this preferred cover type because of its selective use during the drop-off and questing periods of winter ticks

    CONSIDERING WEATHER-ENHANCED TRANSMISSION OF MENINGEAL WORM, PARELAPHOSTRONGYLUS TENUIS, AND MOOSE DECLINES

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    The risk of meningeal worm (Parelaphostrongylus tenuis) infection in white-tailed deer (Odocoileus virginianus) and neurologic disease in moose (Alces alces) in eastern North America is influenced largely by the effects of weather on deer density and gastropod intermediate hosts. Frequent, easy winters result in high survival and density of deer with a large proportion of young animals that shed up to 3 x more P. tenuis larvae; both greatly increase the production of first-stage larvae. An early spring increases survival of shed larvae by reducing the timing mismatch between the parasite’s “spring rise” and snow melt; larvae deposited into snow experience high mortality. A wetter and longer growing season with moderate temperatures increases the survival of first-stage larvae dispersed in soil, and the density, mobility, and frequency of infected gastropods, including the abundance of infective larvae in them. This weather-enhanced transmission further increases larval output by reducing the proportion of unproductive unisexual infections in deer. High production of larvae and optimal conditions for gastropods increase rates of transmission to co-habiting moose and the occurrence of neurologic disease which is dose-dependent. The density of infected deer at the northern limit of their range is typically limited by winter severity allowing coexistence of deer, moose, and parasite. However, as in Nova Scotia and northwestern Minnesota and adjoining regions, pronounced and prolonged moose declines associated with sustained high deer densities and meningeal worm infection have occurred twice in the past 95 years. These two regions may be prone to extended periods of mild winters and longer, wetter growing seasons that ultimately enhance abundance and transmission of the meningeal worm implicated in moose population declines

    AGE-RELATED ANTLER CHARACTERISTICS IN AN INTENSIVELY MANAGED AND NUTRITIONALLY STRESSED MOOSE POPULATION

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    We studied age-related antler characteristics of moose (Alces alces) in Alaska Game Management Unit 20A (during 2007–2010) because of concerns about poor antler development given the population’s high density and unusually low nutritional status. A comparative study was conducted in and near our study area in the early 1970s, when moose density was lower and nutritional status was moderate. Poor antler development was an important concern for 2 reasons: 1) low annual recruitment of bull moose into the harvestable 50-inch (127-cm) antler class in the study area might restrict local harvest when the “Intensive Management” harvest objective was to specifically reduce moose density, and 2) retarded antler growth in yearling and 2-year-old bulls could bias bull:cow and yearling:cow ratios. Regression analysis of antler spread over age indicated that average antler spreads of 50 inches (127 cm) occurred when bulls reached an estimated age of 6.0 years. When using corrected annuli counts of known-age animals, bulls reached antler spreads of 50 inches (127 cm) at 5.6 years of true age in the 1970s versus 6.2 years in this study. We surmised that the difference of <1 year was not a significant management concern, particularly given the wide variation in antler spread in each age class. As a result, we retained a strategy that restricted harvest largely to bulls with antler spreads ≥50 inches (127 cm). During low-level aerial surveys, 22% (11/51) of known-aged, radio-collared yearling bulls, had spiked antlers ≤3 inches (7.6 cm) in length, which likely resulted in their misclassification as females during standard surveys. Presumably, 19% (8/43) of known-age, 2 year-old bulls would probably be misclassified as yearling bulls based solely on brow and main palm separation, the primary characteristic used to distinguish between yearling and 2 year-olds. When antler spread and antler length were used as primary aerial classification criteria, we correctly classified all known-aged, 2 year-old bulls. We recommend survey personnel be trained to scrutinize subadult moose to reduce the likelihood of misclassifying yearling and 2 year-old bulls with retarded antler growth in high-density, nutritionally stressed moose populations

    EXPANDING GIS ANALYSES TO MONITOR AND ASSESS NORTH AMERICAN MOOSE DISTRIBUTION AND DENSITY

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    Development of long-term geographic information system (GIS) databases of species densities and distributions, combined with biological, ecological, and management-related metrics, can help guide research and management strategies. Here we summarize 3 decades of North American moose (Alces alces) population and harvest densities collected at the management unit scale for the years 1980, 1990, 2000, and 2010. A summary analysis of these data indicates that moose have both expanded and contracted along their southern range boundary in recent decades - including the Prairie Provinces and states, and a portion of the northeastern United States. A narrow band of relatively stable and high-density moose populations extends from central Alaska across the Prairie Provinces and east to the Maritime Provinces and upper northeastern states. Distributions in 2010 indicate that moose now occupy an area > 9,492,000 km2 in North America. We also identified that a core range of boreal habitat, only 30% of the occupied range across the continent, supports 89% of the estimated 1 million moose in North America. Time-series analyses can offer a simple and cost-effective approach to monitor the status of moose populations in North America, and might be particularly insightful given the current and predicted future influences of climate change on moose. Other analyses might address population dynamics, habitat, environmental constraints, and harvest management, among other issues. We encourage jurisdictions to cooperate strategically in implementing and coordinating GIS analyses to monitor, assess, and manage the North American moose population

    ENTOMOPATHOGENIC FUNGI OF THE WINTER TICK IN MOOSE WALLOWS: A POSSIBLE BIO-CONTROL FOR ADULT MOOSE?

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    Soil fungi were cultured from 24 wallows and proximal control sites in Maine and New Hampshire, USA during the autumn moose (Alces alces) breeding season of 2016 to investigate the presence of soil fungi pathogenic to winter tick larvae (Dermacentor albipictus). Twenty genera of fungi were isolated, and all are considered common in a forested ecosystem. The predominant genera isolated in wallows were pathogenic to winter tick larvae and included Aspergillus spp. (in particular A. flavus), Beauveria bassiana, Mortierella spp., Mucor spp., Paecilomyces spp., Penicillium spp., and Trichoderma spp. Wallow soils had specific characteristics and differed from proximal control sites by having: 1) lower fungal diversity, 2) a higher frequency of primary colonizers including Mortierella spp., Mucor spp., Penicillium spp., and Trichoderma spp., and 3) a more variable total amount of fungi indicative of changing (disturbed) soil conditions. We conclude that wallows are sites of soil disturbance that concentrate fungi known to be pathogenic to larval winter ticks. Fungi acquired by breeding moose using wallows might subsequently act as an on-host mechanism of tick control

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    Alces (A Journal Devoted to the Biology and Management of Moose)
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