A deep neural network was developed and trained to identify the sounds of pomacentrids (damselfishes) in the National Park of American Samoa. Four years of continuous, passive acoustic data were recorded by a single stationary hydrophone. Deep neural networks enable the full utilization of such large datasets by automating laborious...
The detection of white-nose syndrome (WNS) in King County, WA in 2016 prompted the National Park Service to mobilize region-wide bat monitoring and disease surveillance. One of the goals of the Pacific West Region WNS response plan was to implement acoustic monitoring to determine the distribution of bat species and...
This paper is an assignment for my Ichthyology class at Oregon State University. I was tasked with creating a new fish species that is scientifically possible and telling a fictional story of its discovery.
This study used a factorial mesocosm design to quantify American bullfrog (Lithobates castebeianus) eDNA to assess the relationship between body size, density, and eDNA shedding rates.
2018 Library Undergraduate Research Awards nomination materials, reflective learning essay, and research paper.
In this study, pocket gopher and gray-tailed vole holes and hills were counted within four distinct habitats using quadrats and a gridding method over a period of five field days. The study was conducted to determine which...
The undergradtuate research project was the completion, manipulation and assessment of a population model. The stage based population model assessed the late larval and juveniles stages of the hard shell clam Mercenaria mercenaria. There were seven class sizes input into the model starting with pediveligers and ending with juveniles at...