Because of increasing frequency of bear sightings, vehicle collisions, and nuisance incidents in coastal South Carolina, the South Carolina Department of Natural Resources is developing a comprehensive black bear management plan. However, no reliable estimates of population abundance or density are available. I used genotypes of black bears determined from hair samples collected in Lewis Ocean Bay and Carvers Bay to estimate population abundance and density. I obtained hair samples from snares during 8 weekly sampling periods in 2008 and 2009. I used Huggins closed population models to estimate abundance and spatially explicit capture- recapture models to estimate density. Based on model averaging, black bear abundance was 30 (SE = 9.3) on Carvers Bay and 42 (SE = 5.4) on Lewis Ocean Bay. Model-averaged density was 0.037 bears/km2 (SE = 0.003) for Carvers Bay. For Lewis Ocean Bay, population densities were much higher: 0.307 bears/km2 (SE = 0.025). I extrapolated the density estimates to the upper coastal region of South Carolina, using logistic regression to weight density based on similarity of the regional landscape with the 2 study areas. Predicted bear densities were low throughout the coastal region but several areas centered on more productive habitats (e.g., Carolina Bays, pocosin) and public lands (e.g., Francis Marion National Forest, Lewis Ocean Bay) had high densities. I also sampled an area in North Carolina and assessed genetic structure among the 3 areas. Based on heterozygosity, genetic distance, and genetic assignment, I found no evidence of historic or recent barriers to gene exchange among the 3 sampled populations. However, demographic connectivity may be a concern for areas such as Lewis Ocean Bay, which is surrounded by highways and development. If the goal is to maintain current black bear densities in those areas, maintaining connectivity with other habitat areas and mitigating impacts of highways would be important. The regional map of potential black bear density may be useful to identify areas that should be surveyed for occupancy or where additional studies may be conducted (e.g., Francis Marion National Forest).

In 1992, the Louisiana black bear (Ursus americanus luteolus) was granted threatened status under the Endangered Species Act primarily because of extensive habitat loss and fragmentation. Currently, the Louisiana black bear is restricted to 3 relatively small, disjunct breeding subpopulations located in the Tensas River Basin of northeast Louisiana, the upper Atchafalaya River Basin (ARB) of south-central Louisiana, and coastal Louisiana. The 1995 Recovery Plan mandates research to determine the viability of the remaining subpopulations. I conducted a capture-mark-recapture study during 2007–2009 to estimate population parameters for the ARB bear subpopulation by collecting hair samples (n = 2,977) from 115 barbed-wire hair traps during 8 1-week periods each summer. DNA was extracted from those hair samples and microsatellite genotypes were used to identify individuals. I analyzed encounter histories using the Huggins full heterogeneity estimator in a robust design framework in Program MARK. I compared candidate models incorporating heterogeneity, behavior, and time effects on capture using information-theoretic methods. I directly estimated apparent survival, temporary emigration, probability of capture and recapture, and probability of belonging to 1 of 2 mixtures; population abundance was a derived parameter. Apparent survival was 0.91 (SE = 0.06) and did not vary by gender or year. There was some evidence of temporary emigration for males only (0.10, 95% CI = 0.001–0.900). I modeled capture probabilities with a 2-mixture distribution for both male and females. Overall mean weekly capture probability was 0.12 (SE = 0.03) and 0.25 (SE = 0.04) for males and females, respectively. Recapture rates indicated a positive behavioral response to capture. Model-averaged mean annual abundance was 56 (SE = 4.5, 95% CI = 49–68). I calculated population density using spatially-explicit maximum-likelihood methods; model-averaged density was 0.15 bears/km2 (SE = 0.03). My results updated previous abundance estimates for the ARB bear subpopulation and will be used in a population viability analysis to determine if recovery criteria for the Louisiana black bear have been met.

The genetic diversity and phylogeography of brown bear maternal lineages have been studied extensively over the last two decades. In this study the genetic diversity and maternal phylogeography of non-invasively sampled 35 brown bears, including 5 captive individuals were reported from Turkey. In addition to the optimization of DNA extraction from hair, faeces and old skin samples and their PCRs, Bayesian phylogenetic analyses based on a 269 bp long piece of bear mitochondrial DNA were conducted and 14 novel haplotypes belonging to three major lineages were revealed. The most widespread lineage was found to be the &ldquo / Eastern&rdquo / clade 3a, while geographically more restricted &ldquo / Western&rdquo / and &ldquo / Middle Eastern&rdquo / lineages were reported for the country for the first time. A specimen from the Taurus range (southern Turkey) was shown to be closely related to the presumably extinct bears in Lebanon. Moreover, a unique novel lineage that appears to have split early within the Middle Eastern clade was defined. Despite limited sampling, this study demonstrates a high level of mitochondrial diversity in Turkish brown bears, extends the ranges of both European and Middle Eastern clades into Turkey, and identifies a new divergent lineage of possibly wider historical occurrence while demonstrating the significance of non-invasive genetic sampling for such analysis.

Brown bear is the largest mammal in Turkey and its main distribution lies in the Black Sea and Eastern Anatolia Regions. Its basic ecology is almost unknown in Turkey, except for a limited number of studies. This study aims to determine the spatio-temporal ecology and habitat use of brown bears in the Ka&ccedil / kar Mountains, and to estimate their population size in the &Ouml / zg&uuml / ven Valley and Yusufeli, both firsts for Turkey. The study area is primarily covered with conifer and oak stands, but sparse mixed shrubland occurs in the Mediterranean climate influenced lower parts. GPS-GSM telemetry on seven captured bears (5 males and 2 females) was the main field technique used in this study. Other methods include monitoring via camera trapping, visual direct observations, and counting cubs of the year. Bears were fitted with GPS-GSM collars and tracked for 3 to 603 days. Mean home range size (HRS) was calculated by 95% kernel and MCP estimators for three different samples sizes.95% MCP for all positions produced a home range size of 19.91 &plusmn / 8.89 sq. km. for females, and 130.68 &plusmn / 102.95 sq.km. for males. On average, males and females move at rates of 199 m/h and 129 m/h, respectively. Males hibernate around 140 days whereas females around 150 days and at lower elevations than males. According to camera trapping results, bears are generally active at twilight whereas activity data loggers produced disparate results for tracked bears. Resting patterns showed that bears may also rest at midnight. Estimated population density per 100 km2. is 24.50 &plusmn / 1.74 individual using the Fcub method and 23.85 &plusmn / 2.51 using the mark&ndash / resight method. Captured bears indicated nonrandom distribution on habitat use and selected productive croplands and shrublands than other types of vegetation. Brown bear HRS in the Ka&ccedil / kars is smaller than reported from most countries. The large female-male HRS difference is probably due to polygamous mating system, sexual dimorphism, hard mast availability, high population density, and female&rsquo / s habitat exclusivity as a result of high tolerance by the local people in contrast with most northern countries. Although primary productivity is used to explain high population density and small HRS in other countries, the low productivity in the study area cannot explain the observed density and HRS difference. These findings will construct a scientific basis for brown bear management and conservation in Turkey.

Immunizations are an essential part of children’s healthcare; however, the associated distress can have short- and long-term negative ramifications for children. Parents’ procedural behavior is one of the strongest predictors of children’s distress. The current study evaluated whether an interactive computer training program influenced parents’ knowledge of the impact that their behavior has on their children or their actual procedural behavior during children’s immunizations. 90 parents and their 4- to 6-year-old children receiving immunizations participated. Overall, findings suggest that using a computerized training module to enhance parent knowledge and behavior is helpful but requires improvements in some areas to optimize training.

Lake surface temperature (LSTlake) can be obtained and studied in different ways: using in situ measurements, satellite imagery and modeling. Collecting spatially representative in situ data over lakes, especially for large and deep ones, is a real challenge. Satellite data products provide the opportunity to collect continuous data over very large geographic areas even in remote regions. Numerical modeling is also an approach to study the response and the role of lakes in the climate system. Satellite instruments provide spatial information unlike in situ measurements and one-dimensional (1-D) lake models that give vertical information at a single point or a few points in lakes. The advantage of remote sensing also applies to land where temperature measurements are usually taken at meteorological stations whose network is extremely sparse in northern regions. This thesis therefore examined the value of land/lake surface (skin) temperature (LSTland/lake) measurements from satellites as a complement to in situ point measurements and numerical modeling. The thesis is organized into two parts. The first part tested, two 1-D numerical models against in situ and satellite-derived LST measurements. LSTlake and ice phenology were simulated for various points at different depths on Great Slave Lake (GSL) and Great Bear Lake (GBL), two large lakes located in the Mackenzie River Basin in Canada’s Northwest Territories, using the 1-D Freshwater Lake model (FLake) and the Canadian Lake Ice Model (CLIMo) over the 2002-2010 period. Input data from three weather stations (Yellowknife, Hay River and Deline) were used for model simulations. LSTlake model results are compared to those derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Earth Observing System Terra and Aqua satellite platforms. The main goal was to examine the performance of the FLake and CLIMo models in simulating LSTlake and ice-cover under different conditions against satellite data products. Both models reveal a good agreement with daily average MODIS LSTlake from GSL and GBL on an annual basis. CLIMo showed a generally better performance than FLake for both lakes, particularly during the ice-cover season. Secondly, MODIS-derived lake and land surface temperature (LSTland/lake) products are used to analyze land and lake surface temperature patterns during the open-water and snow/ice growth seasons for the same period of time in the regions of both GBL and GSL. Land and lake temperatures from MODIS were compared with near-surface air temperature measurements obtained from nearby weather stations and with in situ temperature moorings in GBL. Results show a good agreement between satellite and in situ observations. MODIS data were found to be very useful for investigating both the spatial and temporal (seasonal) evolution of LSTland/lake over lakes and land, and for improving our understanding of thermodynamic processes (heat gains and heat loses) of the lake/land systems. Among other findings, the MODIS satellite imagery showed that the surface temperature of lakes is colder in comparison to the surrounding land from April-August and warmer from September until spring thaw.

The study uses Moving Average, On Balance Volume, and KD (Stochastic Oscillator) to analyze that the technical analysis in which the bull or bear stock markets is efficiency. Also, verifies the changes of market efficiency before and after the financial crisis and whether it can earn excess returns or not by using technical analysis. That is, the returns earned by using technical analysis significantly greater than buy and hold which means the efficiency of technical analysis. Nevertheless, the study also aims to realize that whether the returns of the portfolio of technical indicators better than unit indicator. The companies in our samples are selected by the size of market value top 30 companies in the industries of electronic and finance in order to avoid the effect of market micro structure. Our results are as follows: (1) The returns in bear market are significantly higher than bull market by using MA6-144. (2) The MA6-72 and MA6-144 of financial stock before financial crisis, the returns of technical analysis are significantly better than buy and hold. In the other hand, in the electronic stock, we can use MA6-22-250, KD, and OBV to beat the buy and hold strategy and verify that the market efficiency does not exist. (3) The returns which combine of KD and OBV indicators are significantly higher than KD.

Management of big wildlife such as bears can be a difficult task, especially in the face of human-wildlife conflict and demands of the hunting industry. The Brown Bear (Ursus arctos) population at Yusufeli County (Artvin, northeastern Turkey) has recently been the focus of scientific, social and economic concerns. This study population of c. 140 individuals occurs within 800 km2 of forested and alpine land. Legal hunting of male bears was allowed in 2007 after an interval of four years. This study aims to find out through a population viability analysis the level and frequency of trophy hunting this population can tolerate for the next 50 years. A matrix model with six age-classes for each sex was constructed using observed and literature-based parameter values. RAMAS Metapop was used to simulate four different scenarios where numbers of hunted bears and hunting frequency changes. The model was highly sensitive to maximum growth rate and adult survival. Interval extinction probabilities for the next 50 years ranged between 0% and 26% depending on the scenario. Viable scenarios (with an extinction probability &lt / 0.05) were only possible with either no trophy hunting or hunting of 4 subadult/adult males and 1 adult female every other year. Legal and illegal hunting jointly impact the bear population in a strong way, and when they occur simultaneously every year, they lead to extinction in the long run. Avoidance of illegal killing and a close supervision of trophy hunting are crucial in the management of this bear population.

Because of increasing frequency of bear sightings, vehicle collisions, and nuisance incidents in coastal South Carolina, the South Carolina Department of Natural Resources is developing a comprehensive black bear management plan. However, no reliable estimates of population abundance or density are available. I used genotypes of black bears determined from hair samples collected in Lewis Ocean Bay and Carvers Bay to estimate population abundance and density. I obtained hair samples from snares during 8 weekly sampling periods in 2008 and 2009. I used Huggins closed population models to estimate abundance and spatially explicit capture- recapture models to estimate density. Based on model averaging, black bear abundance was 30 (SE = 9.3) on Carvers Bay and 42 (SE = 5.4) on Lewis Ocean Bay. Model-averaged density was 0.037 bears/km2 (SE = 0.003) for Carvers Bay. For Lewis Ocean Bay, population densities were much higher: 0.307 bears/km2 (SE = 0.025). I extrapolated the density estimates to the upper coastal region of South Carolina, using logistic regression to weight density based on similarity of the regional landscape with the 2 study areas. Predicted bear densities were low throughout the coastal region but several areas centered on more productive habitats (e.g., Carolina Bays, pocosin) and public lands (e.g., Francis Marion National Forest, Lewis Ocean Bay) had high densities. I also sampled an area in North Carolina and assessed genetic structure among the 3 areas. Based on heterozygosity, genetic distance, and genetic assignment, I found no evidence of historic or recent barriers to gene exchange among the 3 sampled populations. However, demographic connectivity may be a concern for areas such as Lewis Ocean Bay, which is surrounded by highways and development. If the goal is to maintain current black bear densities in those areas, maintaining connectivity with other habitat areas and mitigating impacts of highways would be important. The regional map of potential black bear density may be useful to identify areas that should be surveyed for occupancy or where additional studies may be conducted (e.g., Francis Marion National Forest).

Thesis (M.S.)--North Carolina State University, 2003. / Title from PDF title page (viewed on Jan. 13, 2005). Includes vita. Includes bibliographical references (p. 76-86).