Differential Recovery of Pacific Island Fish Remains: Evidence from the Moturakau Rockshelter, Aitutaki, Cook Islands

Effects of differential recovery on faunal remains from archaeological sites have been documented by numerous researchers in Europe and North America. However, similar research is lacking for Pacific Island fish assemblages. Here, the fish assemblage from the Moturakau rockshelter in the Cook Islands is analyzed to determine effects of recovery bias on relative abundance, number, and kinds of taxa represented. Smaller-mesh screens are shown to have significant effects on relative abundance estimates for smaller samples and for increasing sample size and number of taxa across all samples. Kinds of taxa recovered are shown to be dependent on both body size and element size of the taxa. Implications of these findings for Pacific Island subsistence interpretations are discussed and suggestions are made for curbing the effects of differential recovery. KEYWORDS: faunal analysis, screen size, Pacific Islands, fish remains

University Scholars Day

Presentation for the 2008 University Scholars Day at the University of North Texas discussing research on the Native American Graves Protection and Repatriation Act (NAGPRA) and the law and ethics of the Kennewick man controversy

University Scholars Day

This paper discusses research on bike rack availability and its relationship to bike ridership on the University of North Texas (UNT) campus

A geospatial method for estimating soil moisture variability in prehistoric agricultural landscapes.

Prehistoric peoples chose farming locations based on environmental conditions, such as soil moisture, which plays a crucial role in crop production. Ancestral Pueblo communities of the central Mesa Verde region became increasingly reliant on maize agriculture for their subsistence needs by AD 900. Prehistoric agriculturalists (e.g., Ancestral Pueblo farmers) were dependent on having sufficient soil moisture for successful plant growth. To better understand the quality of farmland in terms of soil moisture, this study develops a static geospatial soil moisture model, the Soil Moisture Proxy Model, which uses soil and topographic variables to estimate soil moisture potential across a watershed. The model is applied to the semi-arid region of the Goodman watershed in the central Mesa Verde region of southwestern Colorado. We evaluate the model by comparing the Goodman watershed output to two other watersheds and to soil moisture sensor values. The simple framework can be used in other regions of the world, where water is also an important limiting factor for farming. The general outcome of this research is an improved understanding of potential farmland and human-environmental relationships across the local landscape

A Constrained Stochastic Weather Generator for Daily Mean Air Temperature and Precipitation

A constrained stochastic weather generator (CSWG) for producing daily mean air temperature and precipitation based on annual mean air temperature and precipitation from tree-ring records is developed and tested in this paper. The principle for stochastically generating daily mean air temperature assumes that temperatures in any year can be approximated by a sinusoidal wave function plus a perturbation from the baseline. The CSWG for stochastically producing daily precipitation is based on three additional assumptions: (1) In each month, the total precipitation can be estimated from annual precipitation if there exists a relationship between the annual and monthly precipitations. If that relationship exists, then (2) for each month, the number of dry days and the maximum daily precipitation can be estimated from the total precipitation in that month. Finally, (3) in each month, there exists a probability distribution of daily precipitation amount for each wet day. These assumptions allow the development of a weather generator that constrains statistically relevant daily temperature and precipitation predictions based on a specified annual value, and thus this study presents a unique method that can be used to explore historic (e.g., archeological questions) or future (e.g., climate change) daily weather conditions based upon specified annual values

Evidence for paternal age-related alterations in meiotic chromosome dynamics in the mouse

Increasing age in a woman is a well-documented risk factor for meiotic errors, but the effect of paternal age is less clear. Although it is generally agreed that spermatogenesis declines with age, the mechanisms that account for this remain unclear. Because meiosis involves a complex and tightly regulated series of processes that include DNA replication, DNA repair, and cell cycle regulation, we postulated that the effects of age might be evident as an increase in the frequency of meiotic errors. Accordingly, we analyzed spermatogenesis in male mice of different ages, examining meiotic chromosome dynamics in spermatocytes at prophase, at metaphase I, and at metaphase II. Our analyses demonstrate that recombination levels are reduced in the first wave of spermatogenesis in juvenile mice but increase in older males. We also observed age-dependent increases in XY chromosome pairing failure at pachytene and in the frequency of prematurely separated autosomal homologs at metaphase I. However, we found no evidence of an age-related increase in aneuploidy at metaphase II, indicating that cells harboring meiotic errors are eliminated by cycle checkpoint mechanisms, regardless of paternal age. Taken together, our data suggest that advancing paternal age affects pairing, synapsis, and recombination between homologous chromosomes--and likely results in reduced sperm counts due to germ cell loss--but is not an important contributor to aneuploidy

Sustainable harvest or resource depression? Using ancient DNA to study the population dynamics of guanaco in western Argentina during the Holocene

Zooarchaeologists have relied upon various approaches to study the impacts of harvest pressure and environmental change on ungulate populations, such as analysis of prey mortality patterns and morphometrics. Analysis of ancient DNA from ungulate bones and bone fragments from archaeological sites provides an additional means for studying prey population dynamics related to environmental change and human ecology over time. In this paper, we study the population history of the largest game animal in northwest Patagonia, the guanaco (Lama guanicoe). Our study relies on the use of Bayesian Skyline Plots to determine shifts in estimated guanaco population size based on analysis of ancient mitochondrial DNA. Our results indicate that hunting by humans in addition to increases in aridity during the late Holocene led to a decline in the guanaco population in the region, which is in contrast to the harvest and environmental history in other parts of Patagonia (south of our study area). Using a weight of evidence approach that includes proxies of environmental change, human population dynamics, exploitation of guanacos, and estimates of guanaco population size, we argue that the late Holocene shift in guanaco population size was a driving factor in subsistence and settlement change related to resource intensification during the late Holocene in northwest Patagonia.Fil: Abbona, Cinthia Carolina. Universidad Tecnológica Nacional. Facultad Regional San Rafael. Instituto de Evolución, Ecología Histórica y Ambiente. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Evolución, Ecología Histórica y Ambiente; ArgentinaFil: Neme, Gustavo Adolfo. Universidad Tecnológica Nacional. Facultad Regional San Rafael. Instituto de Evolución, Ecología Histórica y Ambiente. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Evolución, Ecología Histórica y Ambiente; ArgentinaFil: Johnson, Jeff. University of North Texas; Estados UnidosFil: Gil, Adolfo Fabian. Universidad Tecnológica Nacional. Facultad Regional San Rafael. Instituto de Evolución, Ecología Histórica y Ambiente. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Evolución, Ecología Histórica y Ambiente; ArgentinaFil: Villalba, Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; ArgentinaFil: Nagaoka, Lisa. University of North Texas; Estados UnidosFil: Kim, Tracy A.. University of North Texas; Estados UnidosFil: Wolverton, Steve. University of North Texas; Estados Unido