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Ancestry assessments in bioarchaeology and forensic anthropology are best analyzed with population-specific methods. Through population-specific ancestry methods, the generalized Native American/Asian ancestry category can be better refined to reflect the diversity of Native American and Asiatic people. Individuals from modern (~1900 to present) Seminole Native American and Japanese populations, housed at The Ohio State University and Jikei University in Tokyo, respectively, reflect a relatively unbiased population sample, as demographics range from juveniles to adults, with both sexes being equally represented. This broad sampling of individuals from the Florida Seminole group and the greater Tokyo region enables researchers to explore the degree of variation between the Seminole and Japanese groups, as can be demonstrated osteologically. Dentitions are an ideal candidate to measure intra-population variability due to heritabilities of both their tooth size and dental morphological characteristics within populations. In an attempt to better understand the variation between Native American and Asian populations, observations of Seminole and Japanese-specific dental morphology and tooth dimensions were recorded from 281 individuals using the Arizona State University Dental Anthropology System (ASUDAS) and mesiodistal and buccolingual measurements, respectively. Significant differences, indicated by a p-value ≤ 0.05, were identified between the Seminole and Japanese groups in the analysis of morphological dental traits and odontometrics. Nineteen statistically significant morphological traits that differed in expression between the two sampled groups were identified, with eight traits being more present in the Seminole group than the Japanese group, whereas eleven traits being more present in the Japanese group than the Seminole group. Linear regression (LRA) and discriminant function analyses equations were developed from three sets of odontometric datasets; the raw, unaltered collected data, the general measurement mean dataset which supplements missing variables, and the ancestry-specific measurement mean data set which supplements missing variables. Both the linear regression and discriminant function models demonstrated success in classifying the Seminole and Japanese groups. The LRA equations presented classification rates higher than chance (81.5-90.4%). Twenty-three DFA equations were developed, ranging in successful classification rates of 61.5% to 100.0%. The ancestry-specific measurement mean dataset performed the best in both the LRA and DFA models. The results of this study indicate that morphological trait observations and odontometric analyses can be useful tools in the differentiation of Native American and Asian populations, as differences between subgroups of these populations (Seminole and Japanese) were identified. These differences are likely due to the homogeneous and insular composition of both sampled populations. Further analysis of the statistically significant morphological traits identified in the current study and continued testing of more subpopulations of Native American and Asian populations will not only aid in ancestry estimations in forensic and bioarchaeology research, but also in the cessation of grouping Native American and Asian individuals under one category.

In this dissertation I examine population history and structure in the Maya area during the Classic period (A.D. 250-900). Within the Maya area, archaeologists have identified regional variation in material culture between archaeological zones. These cultural differences may correspond to biological differences between Classic Maya populations. I test the hypothesis that Classic Maya population structure followed an isolation by distance model. I collected dental nonmetric and metric traits on 977 skeletons, from 18 Classic period sites, representing seven different archaeological zones. I corrected the data for intraobserver error. For the dental nonmetric data, I developed a Maya-specific trait dichotomization scheme and controlled for sex bias. I tested the dental metric data for normality and age affects. I imputed missing dental metric data for some traits and the remaining set of traits was Q-mode transformed to control for allometric factors. I analyzed the dental nonmetric and metric datasets with both univariate and multivariate tests. I found, with a log likelihood ratio, that 50% of the nonmetric traits exhibited statistically significant differences between Maya sites. I performed a Mean Measure of Divergence analysis of the dental nonmetric dataset and found that majority of the resulting pairwise distance values were significant. Using cluster analysis and multidimensional scaling, I found that the dental nonmetric data do not support an isolation by distance organization of Classic Maya population structure. In the ANOVA and MANOVA tests, I did not find major statistically significant differences in dental metrics between Maya sites. Using principal components analysis, a Mahalanobis Distance test, and R matrix analysis, I found a generally similar patterning of the dental metric data. The dental metric data to not support an isolation by distance model for Classic Maya population structure. However, the geographically outlying sites from Kaminaljuyu and the Pacific Coast repeatedly plotted as biological outliers. R matrix analysis indicates that gene flow, not genetic drift, dominated Classic Maya population structure. Based on the results of the dental nonmetric and metric analyses, I reject the hypothesis that isolation by distance is a valid model for Classic Maya population structure. From the multivariate analyses of the dental nonmetric and metric data, a few notable observations are made. The major sites of Tikal and Calakmul both demonstrate substantial intrasite biological heterogeneity, with some affinity to other sites but with little to one another. Piedras Negras demonstrates some evidence for genetic isolation from the other lowland Maya sites. In the Pasión Zone, Seibal and Altar de Sacrificios demonstrate some affinity to one another, though Dos Pilas is an outlier. The R matrix analysis found evidence of Classic period immigration into Seibal from outside the network of sites tested. The Belize Zone exhibited substantial heterogeneity among its sites, with the site of Colha showing some affinity to the Central Zone. Copan, despite being a geographic outlier, demonstrates genetic affinity with the rest of the Maya area. Kaminaljuyu and the Pacific Coast were both found to be outliers. These results indicate that dental nonmetric and metric data are a useful tool for investigating ancient biological variability in the Maya area and contribute to our expanding understanding of population history in that region.

This thesis investigates how changes in population size and spatial movements of individuals have shaped the distribution and abundance of neutral genetic variation in the arctic fox. This is done through mitochondrial and microsatellite DNA analyses on samples covering most of the species’ distribution, but with special emphasis on Scandinavia. On the species level, nucleotide diversity was relatively low, which indicated a historical expansion in population size in connection with the onset of the last Ice Age. It is thus possible that the glacial cycles have affected the arctic fox, and other cold-adapted species, in a way opposite to their effect on temperate species. Gene flow seemed to be high among arctic fox populations on a circumpolar scale, especially between populations where lemmings are the main food source, which could be explained by the spatial synchrony in lemming fluctuations. In Scandinavia, the arctic fox went through a severe demographic bottleneck in the beginning of the 20th century. Although some genetic variation was lost during this bottleneck, the loss was much smaller than expected, probably due to post-bottleneck gene flow from Russia. The arctic fox in Scandinavia is divided into four relatively isolated populations. Within each population, dispersal seemed to be high despite the high availability of empty territories close to natal dens, which supported the hypothesis that lemming fluctuations influence arctic fox dispersal. Genetic analyses on samples collected between 1989 and 2004 indicated an ongoing genetic drift and inbreeding within the Scandinavian populations. Furthermore, individual genetic variation was negatively associated with fitness, which could be attributed to an ongoing inbreeding depression. Analyses on faecal samples suggested that arctic foxes move higher up in the mountains and farther from the tree-line during summer compared to winter. This seasonal shift in distribution is probably caused by interspecific competition from the red fox, which is likely to be higher during summer due to red fox predation on arctic fox cubs. The results presented in this thesis have several implications for the conservation of the Scandinavian arctic fox. The finding of four isolated populations within Scandinavia and an ongoing inbreeding depression suggests that the risk of extinction is higher than previously thought. Conservation actions need to be taken in all populations to be effective, and could include genetic restoration through translocation.

The ancient continent of Sahul, encompassing Australia, New Guinea and Tasmania, contains some of the earliest archaeological evidence for humans outside of Africa, dating back to at least 50 thousand years ago (kya). New Guinea was also one of the sites were humans developed agriculture in the last 10 thousand years. Despite the importance of this part of the world to the history of humanity outside Africa, little is known about the population history of the people living here. In this thesis I present population-genetic studies using whole-genome sequencing and genotype array datasets from more than 500 indigenous individuals from Australia and New Guinea, as well as initial work on large-scale sequencing of other, worldwide, human populations in the Human Genome Diversity Project panel. Other than recent admixture after European colonization of Australia, and Southeast Asian ad- mixture in the lowlands of New Guinea in the last few millennia, the populations of Sahul appear to have been genetically independent from the rest of the world since their divergence ∼50 kya. There is no evidence for South Asian gene flow to Australia, as previously suggested, and the highlands of Papua New Guinea (PNG) have remained unaffected by non-New Guinean gene flow until the present day. Despite Sahul being a single connected landmass until ∼8 kya, different groups across Australia are nearly equally related to Papuans, and vice versa, and the two appear to have separated genetically already ∼30 kya. In PNG, all highlanders strikingly appear to form a clade relative to lowlanders, and population structure seems to have been reshaped, with major population size increases, on the same timescale as the spread of agriculture. However, present- day genetic differentiation between groups is much stronger in PNG than in other parts of the world that have also transitioned to agriculture, demonstrating that such a lifestyle change does not necessarily lead to genetic homogenization. The results presented here provide detailed insights into the population history of Sahul, and sug- gests that its history can serve as an independent source of evidence for understanding human evolutionary trajectories, including the relationships between genetics, lifestyle, languages and culture.

It is the purpose of this thesis to consider the growth and urbanization of the Texas population since 1880, with primary emphasis on changes which took place during the decade from 1940-1950. The problem involved, therefore, in the second part of this study is to determine the amount of urbanization which took place in Texas during the 1940-1950 decade, to determine the variations among the several regions and "size groups" of cities, and to describe some of the factors related to such increases and variations.

Early contact period studies of first intercultural interactions are important for understanding both traditional pre-contact society and the changes brought about by culture contact. Using documentary records kept by early Euroamerican visitors, the sociolinguistic technique of interactional analysis was employed to identify and analyze specific Euroamerican descriptions of intercultural exchange interactions during early contact period Hawai'i (1778-1819). Statistical analyses revealed clear and consistent differences in the reported exchange experiences of high and low status individuals from both cultures. In the majority of the seven hundred and one (701) events, high status individuals from both cultures interacted together or low status individuals from both cultures interacted together. Interactions with mixed high and low status interactants rarely were reported. High status interactions were described in more detail than were low status interactions, and high status interactants were associated much more frequently with the rarer or less common aspects of exchange than were low status interactants. This was true for type of exchange, nature of exchange (whether mediated or direct), complexity of event description, and both Euroamerican and Hawaiian exchange goods. Narrator and voyage characteristics exhibited similarly distinct status associations. The early historic period was not a homogeneous or monolithic period. All major aspects of exchange events demonstrated simple diachronic change, and many were significant under more powerful statistical analysis as well. Some temporal variations were due to changes in narrator characteristics, particularly purpose of voyage. Other changes reflected shifting methods of control by both Euroamerican and Hawaiian high status individuals as well as the consolidation of power by high status Hawaiian ali'i. Mediated events were especially good indicators of these developments. A complementary analysis of thefts revealed clear status distinctions between low status Hawaiian thieves, low status Euroamerican victims, and high status Hawaiian agents of return. These descriptions indicated that thefts were neither numerous nor particularly important. Thus, interactional analysis provided an alternative to anecdotal ethnohistoric analysis. At the same time, it demonstrated the importance of analyzing collections of ethnohistoric documents in order to assess the variation (and the meaning of that variation) both within and between the individual documents.

The genome is a treasure trove of information about the history of an individual, his population, and his species. For as long as genomic data have been available, methods have been developed to retrieve this information and learn about population history. Over the last decade, large international genomic projects (e.g. the HapMap Project and the 1000 Genomes Project) have offered access to high quality data collected from thousands of individuals from a vast number of populations. Freely available to all, these databases offer the possibility to develop new methods to uncover the history of the peopling of the world by modern humans. Due to the complexity of the problem and the large amount of available data, all developed methods either simplify the model with strong assumptions or use an approximation; they also dramatically down-sample their data by either using fewer individuals or only portions of the genome. In this thesis, we present a novel method to jointly estimate the time of divergence of a pair of populations and their variable sizes, a previously unsolved problem. The method uses multiple regions of the genome with low recombination rate. For each region, we use an importance sampler to build a large number of possible genealogies, and from those we estimate the likelihood function of parameters of interest. By modelling the population sizes as piecewise constant within fixed time intervals, we aim to capture population size variation through time. We show via simulation studies that the method performs well in many situations, even when the model assumptions are not totally met. We apply the method to five populations from the 1000 Genomes Project, obtaining estimates of split times between European groups and among Europe, Africa and Asia. We also infer shared and non-shared bottlenecks in out-of- Africa groups, expansions following population separations, and the sizes of ancestral populations further back in time.

"The purpose of this thesis is to examine the age structure of the population of Texas as it existed in 1960, and insofar as possible to trace important changes and trends in the older group from 1900 to 1960. The qualification derives from the fact that at this time not all of the data from the 1960 census are available, and hence many trends can be described only through 1950. Where appropriate, the structure and trends characteristic of the total population will be described, usually for comparative purposes."-- leaf 1.