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Articles 1 - 9 of 9
Full-Text Articles in Life Sciences
Reproductive Rates, Kitten Survival, And Den Site Selection Of Bobcats (Lynx Rufus) In The Black Hills, South Dakota, Erin E. Morrison
Reproductive Rates, Kitten Survival, And Den Site Selection Of Bobcats (Lynx Rufus) In The Black Hills, South Dakota, Erin E. Morrison
Graduate Theses, Dissertations, and Problem Reports
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 …
A Bayesian Hierarchical Mixture Model With Continuous-Time Markov Chains To Capture Bumblebee Foraging Behavior, Max Thrush Hukill
A Bayesian Hierarchical Mixture Model With Continuous-Time Markov Chains To Capture Bumblebee Foraging Behavior, Max Thrush Hukill
Honors Projects
The standard statistical methodology for analyzing complex case-control studies in ethology is often limited by approaches that force researchers to model distinct aspects of biological processes in a piecemeal, disjointed fashion. By developing a hierarchical Bayesian model, this work demonstrates that statistical inference in this context can be done using a single coherent framework. To do this, we construct a continuous-time Markov chain (CTMC) to model bumblebee foraging behavior. To connect the experimental design with the CTMC, we employ a mixture model controlled by a logistic regression on the two-factor design matrix. We then show how to infer these model …
Bayesian Analytical Approaches For Metabolomics : A Novel Method For Molecular Structure-Informed Metabolite Interaction Modeling, A Novel Diagnostic Model For Differentiating Myocardial Infarction Type, And Approaches For Compound Identification Given Mass Spectrometry Data., Patrick J. Trainor
Electronic Theses and Dissertations
Metabolomics, the study of small molecules in biological systems, has enjoyed great success in enabling researchers to examine disease-associated metabolic dysregulation and has been utilized for the discovery biomarkers of disease and phenotypic states. In spite of recent technological advances in the analytical platforms utilized in metabolomics and the proliferation of tools for the analysis of metabolomics data, significant challenges in metabolomics data analyses remain. In this dissertation, we present three of these challenges and Bayesian methodological solutions for each. In the first part we develop a new methodology to serve a basis for making higher order inferences in metabolomics, …
Functions Of Ecosystems: Stream Metabolism As An Efficient And Effective Means To Gage The Health And Understand The Interworking Of Urban Streams In A Watershed Of Rock Island, Il, Ryan Johnson, Dr. Kevin Geedey
Functions Of Ecosystems: Stream Metabolism As An Efficient And Effective Means To Gage The Health And Understand The Interworking Of Urban Streams In A Watershed Of Rock Island, Il, Ryan Johnson, Dr. Kevin Geedey
Celebration of Learning
Stream metabolism is a critical functional measure of stream health that integrates physical parameters like slope and discharge, with ecosystem functions like photosynthesis and respiration. Stream metabolism is widely studied; however, urban stream metabolism remains poorly understood. Stream metabolism was measured for five streams ranging from 1st to 5th orders from October 11th to October 18th 2017 and four streams ranging from 1st to 4th order from October 22nd to 25th 2017 located within an approximately 9.3 square kilometer watershed of Rock Island, IL that has an urban to suburban type of …
Applying Stable Isotopes To Examine Food-Web Structure: An Overview Of Analytical Tools, Craig A. Layman, Marcio S. Araujo, Ross Boucek, Caroline M. Hammerschlag-Peyer, Elizabeth Harrison, Zachary R. Jud, Philip Matich, Adam E. Rosenblatt, Jeremy J. Vaudo, Lauren A. Yeager, David M. Post, Stuart Bearhop
Applying Stable Isotopes To Examine Food-Web Structure: An Overview Of Analytical Tools, Craig A. Layman, Marcio S. Araujo, Ross Boucek, Caroline M. Hammerschlag-Peyer, Elizabeth Harrison, Zachary R. Jud, Philip Matich, Adam E. Rosenblatt, Jeremy J. Vaudo, Lauren A. Yeager, David M. Post, Stuart Bearhop
Adam Rosenblatt
Stable isotope analysis has emerged as one of the primary means for examining the structure and dynamics of food webs, and numerous analytical approaches are now commonly used in the field. Techniques range from simple, qualitative inferences based on the isotopic niche, to Bayesian mixing models that can be used to characterize food-web structure at multiple hierarchical levels. We provide a comprehensive review of these techniques, and thus a single reference source to help identify the most useful approaches to apply to a given data set. We structure the review around four general questions: (1) what is the trophic position …
The Value Of Bayesian Statistics For Assessing Credible Evidence Of Animal Sentience, Anil K. Seth, Zoltan Dienes
The Value Of Bayesian Statistics For Assessing Credible Evidence Of Animal Sentience, Anil K. Seth, Zoltan Dienes
Animal Sentience
Determining what constitutes practically relevant, statistically significant evidence for animal sentience, under the precautionary principle, could be enhanced through Bayesian statistics. A Bayesian approach allows the incorporation of multiple evidence sources through prior probabilities, the tracking of changing evidence across time, and a principled means of adjusting evidentiary bars via Bayes factors.
Applying Stable Isotopes To Examine Food-Web Structure: An Overview Of Analytical Tools, Craig A. Layman, Marcio S. Araujo, Ross Boucek, Caroline M. Hammerschlag-Peyer, Elizabeth Harrison, Zachary R. Jud, Philip Matich, Adam E. Rosenblatt, Jeremy J. Vaudo, Lauren A. Yeager, David M. Post, Stuart Bearhop
Applying Stable Isotopes To Examine Food-Web Structure: An Overview Of Analytical Tools, Craig A. Layman, Marcio S. Araujo, Ross Boucek, Caroline M. Hammerschlag-Peyer, Elizabeth Harrison, Zachary R. Jud, Philip Matich, Adam E. Rosenblatt, Jeremy J. Vaudo, Lauren A. Yeager, David M. Post, Stuart Bearhop
FCE LTER Journal Articles
Stable isotope analysis has emerged as one of the primary means for examining the structure and dynamics of food webs, and numerous analytical approaches are now commonly used in the field. Techniques range from simple, qualitative inferences based on the isotopic niche, to Bayesian mixing models that can be used to characterize food-web structure at multiple hierarchical levels. We provide a comprehensive review of these techniques, and thus a single reference source to help identify the most useful approaches to apply to a given data set. We structure the review around four general questions: (1) what is the trophic position …
Recent Progress In Polymorphism-Based Population Genetic Inference., Jessica Crisci, Yu-Ping Poh, Angela Bean, Alfred Simkin, Jeffrey Jensen
Recent Progress In Polymorphism-Based Population Genetic Inference., Jessica Crisci, Yu-Ping Poh, Angela Bean, Alfred Simkin, Jeffrey Jensen
Jessica L Crisci
The recent availability of whole-genome sequencing data affords tremendous power for statistical inference. With this, there has been great interest in the development of polymorphism-based approaches for the estimation of population genetic parameters. These approaches seek to estimate, for example, recently fixed or sweeping beneficial mutations, the rate of recurrent positive selection, the distribution of selection coefficients, and the demographic history of the population. Yet despite estimating similar parameters using similar data sets, results between methodologies are far from consistent. We here summarize the current state of the field, compare existing approaches, and attempt to reconcile emerging discrepancies. We also …
Bayesian Statistics, Joseph F. Lucke