Dental Pathology in Selected Carnivores from Arkansas

The occurrence and kinds of dental pathology in wild carnivore populations in Arkansas were investigated through examination of 1295 skulls of bobcat (Felis rufus), river otter (Lutra canadensis), gray fox (Urocyon cinereoargenteus), coyote (Canis latrans), and raccoon (Procyon lotor). Pulpitis or abscesses in broken or otherwise exposed teeth were noted in all species, but bobcats had the fewest exposures while otter and gray foxhad the most. Osteomyelitis occurred in all species except the bobcat. Caries were noted in the coyote, raccoon, and gray fox. Otter and coyote had alveolar thinning, and coyote had enamel dysplasia and maxillary sinusitis

Analysis of Bobcats in Urban Areas of Orange County, CA

The bobcat, Lynx Rufus, has been increasingly observed in urban areas of Southern California. Habitat fragmentation caused by human development has forced the bobcat to adapt to new urban influences. Although the bobcat is currently thriving in these urban areas, the continued reduction of critical habitat and the increase in bobcat interaction may ultimately lead to decline in future populations. The client for this project is a research ecologist with the USGS Western Ecological Research Center. Her bobcat research requires tracking bobcats with GPS radio-collars and collecting sighting information from the public. Her goal was to utilize GIS technologies to gain a better understanding of how bobcats are surviving in urban areas. She aimed to achieve this by the examination of bobcats’ behavior with certain habitat variables and how they are characterized within defined study areas. Four tools were developed to measure the proximity and density of roads, hydrography (flow lines and water bodies), urban edges, and land cover

Predicting favorable habitat for bobcats (Lynx rufus) in Iowa

Bobcats (Lynx rufus), once common in the prairie-woodland mosaic of the Midwest, were largely extirpated from the Corn Belt region by 1900. In the 1990\u27s, sightings of bobcats in Iowa began to increase, and they are now abundant in southern Iowa. With the dramatic expansion of rowcrop agriculture resulting in loss of habitat, wildlife managers do not know whether bobcats will again be widespread throughout Iowa. In order to predict where bobcats will eventually repopulate the state, I attempted to identify important variables that correlate with current bobcat distribution and to build models that predict the relative abundance and occurrence of bobcats. I used the programs ArcGIS and FRAGSTATS to calculate landscape composition and configuration from publicly available sources including landcover, census, road, hydrologic, and elevation data. I constructed classification and regression tree (CART) models to identify important variables for predicting bobcat distribution in Iowa. I built linear regression models of bobcat relative abundance at the county resolution. Models were based on bobcat sightings from the Iowa Department of Natural Resources Bowhunter Observation Survey. I also built logistic regression models of bobcat occurrence at the finer sub-watershed resolution. Sub-watersheds were classified by presence or absence based on locations from reported bobcat sightings, live captures, and carcass recoveries. In all models, both probability of bobcat presence and bobcat relative abundance were consistently influenced by the quantity and configuration of perennial grassland across Iowa. None of the models revealed favorable habitat outside of areas known to be occupied by bobcats in Iowa, suggesting that bobcats are already occupying areas of favorable habitat and will not substantially disperse to other parts of the state. These results have practical implications for wildlife conservationists regarding expected bobcat habitat use and distribution as the species becomes more abundant in the agricultural landscape of the Midwest

No. 10 Bucs Race Past Pirates, 3-1, At GC Bobcat Shootout

No. 10 Bucs Race Past Pirates, 3-1, At GC Bobcat Shootout. The Armstrong State University soccer team cut No. 10 Barry\u27s two-goal lead to one and had two golden chances to equalize but the Bucs tallied a late goal to pull away for a 3-1 win at the GC Bobcat Shootout on Friday afternoon at Bobcat Field in Milledgeville, Ga

Microhabitat Selection by Bobcats in the Badlands and Black Hills of South Dakota, USA: A Comparison of Prairie and Forested Habitats

An understanding of habitat selection is important for management of wildlife species. Although bobcat (lynx rufus) resource selection has been addressed in many regions of the United States, little work has been conducted in the Northern Great Plains. From 2006- 2008 we captured and radiocollared 20 bobcats in the Badlands (n = I 0) and Black Hills (n = I 0) regions of South Dakota. During the summers of 2008 and 2009 we collected habitat measurements at 349 ( 176 Badlands, 176 Black Hills) bobcat locations and 321 ( 148 Badlands, 173 Black Hills) random sites. Microhabitat characteristics at bobcat use sites varied with region (P \u3c 0.001) and sex of bobcat (P \u3c 0.00 I). Percent slope, shrub, low cover, medium cover, and total cover were greater (P :S 0.017) at bobcat locations in the Black Hills than in the Badlands whereas distance to drainage was greater (P \u3c 0.001) at locations in the Badlands than in the Black Hills. In the Badlands, male bobcat locations were closer (P :S 0.002) to prairie dog towns and drainages and had greater (P \u3c 0.05) percent forbs and forb height than random sites, whereas females were closer to badland formations (P \u3c 0.00 I) than random sites. In the Black Hills, male locations were at greater elevation (P \u3c 0.00 I) and female locations were characterized by greater (P :S 0.02) grass height, shrub height, low cover, and total cover than random sites. Logistic regression indicated that microhabitat selection was similar between study areas; odds ratios indicated that odds of bobcat use increased by 0.998 (95% CI = 0.997-0.999) per I m increase in distance to drainage, 0.986 (95% CI= 0.978-0.993) per 1.0% increase in grass cover, by 1.024 (95% Cl = 1.011 - 1.036) per I cm increase in grass height, by 1.013 (95% CI = 1.003-1.024) per I% increase in forb cover, and by 1.028 (95% Cl = 1.017- 1.039) per I% increase in medium cover. Our results were similar to other bobcat microhabitat selection studies, where bobcat relocations were associated with understory vegetation, drainages, and rugged terrain. These results identify the adaptability of the species to meet life history requirements in a variety of landscapes, and provide insight to how land use requirements vary within regional and management boundaries

Women\u27s Cross Country Places Ninth At GC Bobcat Invitational

Women\u27s Cross Country Places Ninth At GC Bobcat Invitational. The Armstrong State University women\u27s cross country team placed ninth at the Georgia College Bobcat Invitational on Saturday morning in Milledgeville, Ga

Swabbing An Owl And Other Tales Of Wildlife Care

Spring is a busy time at the Wildlife Care Clinic. Erica Eaves can attest to that. Early in April she spent one 10-hour day working with veterinarians trying to save a bobcat. The bobcat had been hit by a car and both its rear legs and pelvis were fractured, Eaves says. “We spent most of the day with the bobcat, but it didn’t make it. Its wounds were several days old.

Reproductive Rates, Kitten Survival, and Den Site Selection of Bobcats (Lynx Rufus) in the Black Hills, South Dakota

The bobcat (Lynx rufus) is an important furbearer in South Dakota. However, management of bobcats can be difficult because of their elusive nature and lack of demographic information. In particular, managers lack information on abundance, survival, and reproductive rates necessary to ensure sustainable harvests and stable populations through time. Additionally, cause-specific mortality can provide insight into the factors influencing bobcat kitten survival rates, as well as reveal actions managers could take to improve survival. Bobcat resource selection can vary depending on spatial scale and it is important to understand how denning may result in different selection patterns at multiple scales. There is currently little known about bobcat den site selection and understanding this aspect of bobcat resource selection will provide valuable information on bobcat ecology. I tracked 35 female bobcats in the Black Hills, South Dakota, USA, during the spring and summer of 2020 and 2021. I obtained estimates of reproductive rates by directly observing the number of kittens in the dens. To evaluate kitten survival and cause-specific mortality, I fitted 40 bobcat kittens with VHF radio collars that were equipped with a mortality switch. Estimates of breeding success, litter size, and kitten survival were analyzed using Bayesian methods and I evaluated if they varied across several intrinsic and extrinsic variables. I evaluated bobcat den site selection on a hierarchical scale: (1) at the den site and (2) at the den area and determined resource characteristics associated with den site selection. Using ground triangulation, I located dens (n = 27) from 18 collared adult female bobcats. I evaluated bobcat den site selection using discrete choice analysis and fitted models using Bayesian methods. Breeding success, the probability a female reproduced, in 2020 (0.56) was more than twice as great compared to 2021 (0.26). Expected litter size was 2.11. Estimated annual kitten survival was 0.17 and was significantly correlated to minimum daily temperatures. Primary causes of mortality were starvation and predation. Bobcats selected dens that had significantly higher horizontal cover compared to random sites at the den site scale. Bobcats also selected sites that had significantly higher horizontal cover and terrain ruggedness compared to random sites at the den area scale. These results suggest that den site selection is perhaps strongly driven by the need for concealment from predators and other disturbances. Estimates of reproductive rates and annual kitten survival are missing elements which will be used to create a demographic growth rate model for bobcats in the Black Hills. Collected vital rates, combined with information on den site selection, provide important insights into bobcat ecology and inform management of bobcats in the Black Hills, South Dakota

Bobcat Company: Strategic Management of A Compact Contruction Equipment Manufacturer, 2005

Bobcat Company has a rich history of manufacturing equipment in North Dakota. The work ethic of the employees, productivity of the plants, and innovative spirit are the main reasons for the company\u27s success. As Bobcat Company nears 60 years in business, many changes have taken place, and the company will need to continue to transform itself in order to survive the next 60 years. In an effort to better understand the strategic management of Bobcat Company, the following topics will be discussed in detail: company history, organizational structure, marketing, operations, and quality. This case study of Bobcat Company in 2005 will be concluded by studying the ecosystem, Porter\u27s Five forces analysis, and the market forecast

Men\u27s Cross Country Runs Eighth At GC Bobcat Invitational

Men\u27s Cross Country Runs Eighth At GC Bobcat Invitational. The Armstrong State University men\u27s cross country team ran eighth at the Georgia College Bobcat Invitational on Saturday morning in Milledgeville, Ga