CHORUSING PATTERNS OF A DIVERSE ANURAN COMMUNITY, WITH AN EMPHASIS ON SOUTHERN CRAWFISH FROGS (LITHOBATES AREOLATUS AREOLATUS)

Wildlife surveys have a critical role in conservation efforts and the collection of life history data. For anuran amphibians these surveys often focus on calling males. In order to further our understanding of anuran ecology, we used automated recording systems to monitor the calling activities of the anuran communities at two beaver-formed lakes and one cattle pond in southeastern Oklahoma. We documented 14 anuran species between 5 February and 28 April 2012. Temperature had a significant effect on the calling patterns of Eastern Narrow-mouthed Toads (Gastrophryne carolinensis), Green Treefrogs (Hyla cinerea), Gray Treefrogs (Hyla versicolor), Southern Crawfish Frogs (Lithobates areolatus areolatus), and Cajun Chorus Frogs (Pseudacris fouquettei). Temperature did not have a significant effect on the calling patterns of Dwarf American Toads (Anaxyrus americanus charlesmithi), American Bullfrogs (Lithobates catesbeianus), or Green Frogs (Lithobates clamitans). There was not a significant relationship between rainfall and calling for L. a. areolatus. The presence of several of these species, including L. a. areolatus and Hurter’s Spadefoots (Scaphiopus hurterii) was unusual because these anurans typically breed in ephemeral, fishless pools, but the beaver lakes are permanent and sustain populations of carnivorous fishes

Component specific modeling

The objective is to develop and verify a series of interdisciplinary modeling and analysis techniques that have been specialized to address three specific hot section components. These techniques will incorporate data as well as theoretical methods from many diverse areas including cycle and performance analysis, heat transfer analysis, linear and nonlinear stress analysis, and mission analysis. The new methods developed will be integrated to provide an accurate, efficient, and unified approach to analyzing combustor burner liners, hollow air-cooled turbine blades, and air-colled turbine vanes. For these components, the methods developed will predict temperature, deformation, stress, and strain histories throughout a complete flight mission

Component specific modeling

The objective was to develop and verify a series of interdisciplinary modeling and analysis techniques specialized to address hot section components. These techniques incorporate data as well as theoretical methods from many diverse areas, including cycle and performance analysis, heat transfer analysis, linear and nonlinear stress analysis, and mission analysis

The 3D inelastic analysis methods for hot section components

The objective of this research is to develop an analytical tool capable of economically evaluating the cyclic time dependent plasticity which occurs in hot section engine components in areas of strain concentration resulting from the combination of both mechanical and thermal stresses. The techniques developed must be capable of accommodating large excursions in temperatures with the associated variations in material properties including plasticity and creep. The overall objective of this proposed program is to develop advanced 3-D inelastic structural/stress analysis methods and solution strategies for more accurate and yet more cost effective analysis of combustors, turbine blades, and vanes. The approach will be to develop four different theories, one linear and three higher order with increasing complexities including embedded singularities

Life finds a way: the recovery of frog populations from a chytridiomycosis outbreak

Emerging infectious diseases are a serious threat to wildlife, but not all populations or species have the same response to outbreaks. In some cases, diseases shift from being epizootic to enzootic, allowing populations to recover, but both the causes of recoveries and the long-term consequences of disease outbreaks remain poorly understood. My PhD aimed to further our knowledge of these important topics by using a frog assemblage in the Australian Wet Tropics as a model system for understanding recoveries from disease outbreaks. This region was impacted by an outbreak of the fungal disease chytridiomycosis (caused by the pathogen Batrachochytrium dendrobatidis [Bd]) in the late 1980s and early 1990s, during which high elevation populations of several frog species declined or disappeared, while low elevation populations remained stable. Following the outbreak, some species recovered at upland sites, but the patterns of both declines and recoveries vary among species. Litoria dayi disappeared from upland sites and has never recovered. Litoria nannotis disappeared from upland sites and has largely recovered. Litoria serrata declined at upland sites and has recovered, and Litoria wilcoxii did not decline substantially at any elevation. These different histories with the disease presented a great opportunity for studying the factors that allowed some species to recover, while apparently precluding recovery in others, and my thesis examined both population genetics and microbiomes of frogs in this system. My primary goals were to examine the long-term consequences of the outbreak (e.g., fragmentation, inbreeding, loss of diversity) and test several hypotheses for the differences in the history of declines and recoveries among species (e.g., differences in dispersal abilities, a lack of adaptive potential due to lost diversity, differences in microbiomes). I used single nucleotide polymorphisms to examine connectivity patterns, test for a loss of diversity, and test for Bd-driven selection. I examined low elevation populations of L. nannotis, L. serrata, and L. dayi that survived the outbreak, and compared them to recovered upland populations of L. nannotis and L. serrata. I sampled L. dayi at three national parks and L. nannotis and L. serrata at two national parks. All three species showed high levels of connectivity within a given park, and there was no structuring along streams, suggesting that all three species have good dispersal abilities. No inbreeding was present in any species, and all species showed high genetic diversity levels north of Paluma Range National Park. At Paluma, however, both L. nannotis and L. serrata had reduced genetic diversity, and diversity levels followed a west–east pattern, with higher diversity on the western half of the park (L. dayi does not occur at Paluma). These diversity patterns matched habitat patterns, with higher diversity in wetter areas with larger sections of rainforest, suggesting that the size and quality of refuge habitat may play an important role in the retention of genetic diversity during a disease outbreak. I did not find consistent evidence of selection in L. nannotis, but there was consistency among outlier testes for L. dayi. These tests could not conclusively demonstrate that L. dayi was undergoing diseaseinduced selection, but they were suggestive. Prior to analysing the microbiomes of the frog species, it was necessary to test or develop several microbiome methodologies. First, microbiome data often need to be normalized prior to analysis, and many methods are available, but several of the most popular methods use variance standardizing techniques that can distort ecological data. Therefore, I compared six methods (rarefaction, proportions, upper quartile, CSS, edgeRTMM, and DESeq-VS) using both a published data set and simulations. My results showed that upper quartile, CSS, edgeR-TMM, and DESeq-VS failed to fully standardize reads, and inflated minor differences among rare micro-organisms while suppressing large differences among common micro-organisms, thus distorting community comparisons. In contrast, using proportions or rarefaction produced accurate results, with proportions outperforming rarefaction. Another common issue with microbiome studies is the ubiquitous presence of bacterial contamination. This problem has been widely documented, but no method of accurately removing contaminate reads exists. Therefore, I developed an algorithm for identifying and removing contaminate reads, wrote an R package (microDecon) to implement it, and tested it using two large simulations, a published data set, and a sequencing experiment. All tests showed that microDecon was highly accurate and improved the results in 98.1% of cases. Having tested and developed these methods, I was able to apply them to the microbiomes of frog populations. Multiple laboratory studies have documented beneficial effects of bacteria for amphibian hosts during Bd infections, and several field studies have suggested that microbiomes may play important roles in infection dynamics. Nearly all of this research has focused on bacteria, while the fungal microbiomes of amphibians remain largely unexplored. Therefore, I examined both the fungal and bacterial microbiomes of L. dayi, L. nannotis, L. serrata, and L. wilcoxii to make one of the first comparisons of bacteria and fungi in frog populations and test the hypothesis that differences in microbiomes could explain the differences in patterns of declines and recoveries in the Wet Tropics frog assemblage. I also used qPCR to examine Bd infection prevalence and intensity. Bacterial microbiomes generally had higher operational taxonomic unit (OTU) richness but lower evenness than the fungal microbiomes. Bacterial microbiomes also tended to be less variable within groups of samples (e.g., frog species), resulting in stronger clustering in ordination plots. Nevertheless, fungal and bacterial Bray-Curtis dissimilarities were positively correlated within frog species (i.e., two individuals with similar fungal microbiomes tended to also have similar bacterial microbiomes). Fungal and bacterial richness were also correlated. This is a somewhat novel result that suggests that either one microbiome is driving the other, or both are being affected similarly by environmental variables. Results for associations with Bd were mixed. I did not find associations between Bd and beta-diversity for fungi or bacteria. Also, the relative abundance of bacteria that are inhibitory to Bd (based on previous culturing studies) did not follow the expected patterns of association with Bd. Litoria dayi had the highest relative abundance of inhibitory bacteria despite having never recovered from the outbreak, while L. wilcoxii (which never declined) had a low relative abundance of inhibitory bacteria. Additionally, for L. dayi and L. wilcoxii there were significant positive associations between the relative abundance of inhibitory bacteria and Bd infection intensity. In contrast, OTU richness showed negative associations with Bd infection intensity for both fungi and bacteria. Additionally, for both fungi and bacteria, L. dayi had the lowest OTU richness of any frog species. These results are consistent with a protective effect of OTU richness and suggest that a lack of richness in L. dayi has played a role in its inability to recover from the outbreak. In summary, I found that having large areas of high-quality lowland habitat is likely important for allowing populations to retain genetic diversity during an outbreak, and they should be a focus of conservation efforts. Additionally, neither differences in genetic diversity nor differences in dispersal abilities could explain why L. dayi has been unable to recover from population declines. There was some evidence that L. dayi is in the process of adapting, but this was not conclusive. The microbiome data did not show significant associations between Bd and either total community composition or the relative abundance of inhibitory bacteria, but there were associations with the OTU richness of both fungal and bacterial microbiomes, suggesting that richness may be an important factor in infection dynamics

Constitutive response of Rene 80 under thermal mechanical loads

The applicability of a classical constitutive model for stress-strain analysis of a nickel base superalloy, Rene' 80, in the gas turbine thermomechanical fatigue (TMF) environment is examined. A variety of tests were conducted to generate basic material data and to investigate the material response under cyclic thermomechanical loading. Isothermal stress-strain data were acquired at a variety of strain rates over the TMF temperature range. Creep curves were examined at 2 temperature ranges, 871 to 982 C and 760 to 871 C. The results provide optimism on the ability of the classical constitutive model for high temperature applications

Design of a Torque Current Generator for Strapdown Gyroscopes

The design, analysis, and experimental evaluation of an optimum performance torque current generator for use with strapdown gyroscopes, is presented. Among the criteria used to evaluate the design were the following: (1) steady-state accuracy; (2) margins of stability against self-oscillation; (3) temperature variations; (4) aging; (5) static errors drift errors, and transient errors, (6) classical frequency and time domain characteristics; and (7) the equivalent noise at the input of the comparater operational amplifier. The DC feedback loop of the torque current generator was approximated as a second-order system. Stability calculations for gain margins are discussed. Circuit diagrams are shown and block diagrams showing the implementation of the torque current generator are discussed

Turbine blade tip durability analysis

An air-cooled turbine blade from an aircraft gas turbine engine chosen for its history of cracking was subjected to advanced analytical and life-prediction techniques. The utility of advanced structural analysis techniques and advanced life-prediction techniques in the life assessment of hot section components are verified. Three dimensional heat transfer and stress analyses were applied to the turbine blade mission cycle and the results were input into advanced life-prediction theories. Shortcut analytical techniques were developed. The proposed life-prediction theories are evaluated

The 3D inelastic analysis methods for hot section components

Advanced 3-D inelastic structural/stress analysis methods and solution strategies for more accurate and yet more cost-effective analysis of combustors, turbine blades, and vanes are being developed. The approach is to develop four different theories, one linear and three higher order with increasing complexities including embedded singularities. Progress in each area is reported