Quantitative Ecology
I developed an interest in quantitative ecology during my undergrad studies at Colorado State University. After several field seasons post-graduation, my interest was strengthened as I learned about the many large datasets gathered over the years within various agencies, and among different study areas. These datasets often sit idle due to a lack of expertise and/or time to commit to learning new methods, so I decided to take a crack at one myself.
I joined Dr. William's quantitative ecology lab at the University of Nevada, Reno, and able to work with a mule deer GPS collar dataset gathered over eight years in Mojave National Preserve in southern California. These data consisted of about 200 animals and just under one million locations. Despite being analyzed in chunks as it was collected, there were, and always will be, unanswered questions. Over the span of my master's degree, my time was spent developing a Bayesian hierarchical model to describe animal movement in relation to landscape features, with the goal of increasing resource managers' understanding of the importance of these landscape features while also adding to the movement ecology literature through model development.
Despite primarily working in a Bayesian framework, my curriculum was dominated by courses in the Mathematics and Statistics department so I am able to interpret and implement frequentist analyses as well. If you are in interested in quantitative ecology, or any type of data science, please feel free to reach out to me!
I joined Dr. William's quantitative ecology lab at the University of Nevada, Reno, and able to work with a mule deer GPS collar dataset gathered over eight years in Mojave National Preserve in southern California. These data consisted of about 200 animals and just under one million locations. Despite being analyzed in chunks as it was collected, there were, and always will be, unanswered questions. Over the span of my master's degree, my time was spent developing a Bayesian hierarchical model to describe animal movement in relation to landscape features, with the goal of increasing resource managers' understanding of the importance of these landscape features while also adding to the movement ecology literature through model development.
Despite primarily working in a Bayesian framework, my curriculum was dominated by courses in the Mathematics and Statistics department so I am able to interpret and implement frequentist analyses as well. If you are in interested in quantitative ecology, or any type of data science, please feel free to reach out to me!
Movement Ecology
Animal movement is one of the most interesting aspects of ecology for me. Understanding where they are and why is a great step in seeing inside the mind of an animal! For some, resource selection seems simple - but for others, it can answer complex questions about metabolic needs, temporal and seasonal behavior, and the cultural nature of some species.
While working on a long-term waterfowl project in Suisun Marsh in California, I was able to gain first-hand experience tagging and tracking ducklings. While ducklings themselves may not always make conscious choices about their movement and habitat selection, they are able to adapt to changing landscapes - to a point. Understanding where these points occur gets us closer to understanding waterfowl breeding ecology and management needs. We also deployed transmitters on adult female waterfowl, Northern Harriers, and common nest predators (skunks and raccoons).
In my master's research, we had enough animal movement data to truly link behavior to movement in addition to resource selection. Linking behavior requires more data and uses different methods - it's really cool! If you have an interest in animal movement, either practically or on an analytical level, feel free to reach out!
While working on a long-term waterfowl project in Suisun Marsh in California, I was able to gain first-hand experience tagging and tracking ducklings. While ducklings themselves may not always make conscious choices about their movement and habitat selection, they are able to adapt to changing landscapes - to a point. Understanding where these points occur gets us closer to understanding waterfowl breeding ecology and management needs. We also deployed transmitters on adult female waterfowl, Northern Harriers, and common nest predators (skunks and raccoons).
In my master's research, we had enough animal movement data to truly link behavior to movement in addition to resource selection. Linking behavior requires more data and uses different methods - it's really cool! If you have an interest in animal movement, either practically or on an analytical level, feel free to reach out!
Predator Ecology
I have been fortunate enough to work with several predator species during my career - black-footed ferrets, skunks, raccoons, and now bobcats - and I find that mesopredators hold a very special place in our world. They are adaptable, have complex social boundaries, and are extremely important in the balance of our ecosystems. For my PhD research, I am studying several facets of bobcat ecology.
In the southeastern US, barrier islands dot the coastline. These islands support numerous species of plants, fungi, birds, reptiles, and mammals - least of which is the bobcat! These islands are also attractive to people due to their beauty, and human development often directly borders valuable wildlife habitat.
The catalyst for my research was a recent discovery of second-generation anticoagulant rodenticides in the bobcat population on Kiawah Island in Charleston County, SC. These bobcats have been monitored since the early 2000s, so biologists were able to identify a decline in the population. The scope of my study is to analyze historical data and identify shifts is space use and survival in the Kiawah bobcats from the early 2000s to now. Additionally, I will be monitoring a second population of bobcats on a barrier island within the Tom Yawkey Wildlife Center in Georgetown County, SC. By comparing these populations, I hope to pinpoint behavioral changes brought on by rodenticides and human development as well as diet variations.
Recent News:
Article by the Town of Kiawah Island (Feb. 1, 2022)
Article by the Town of Kiawah Island (Aug. 6, 2021)
In the southeastern US, barrier islands dot the coastline. These islands support numerous species of plants, fungi, birds, reptiles, and mammals - least of which is the bobcat! These islands are also attractive to people due to their beauty, and human development often directly borders valuable wildlife habitat.
The catalyst for my research was a recent discovery of second-generation anticoagulant rodenticides in the bobcat population on Kiawah Island in Charleston County, SC. These bobcats have been monitored since the early 2000s, so biologists were able to identify a decline in the population. The scope of my study is to analyze historical data and identify shifts is space use and survival in the Kiawah bobcats from the early 2000s to now. Additionally, I will be monitoring a second population of bobcats on a barrier island within the Tom Yawkey Wildlife Center in Georgetown County, SC. By comparing these populations, I hope to pinpoint behavioral changes brought on by rodenticides and human development as well as diet variations.
Recent News:
Article by the Town of Kiawah Island (Feb. 1, 2022)
Article by the Town of Kiawah Island (Aug. 6, 2021)
