Mark Quentin Wilber
I am generally interested in how infectious disease shapes the dynamics of wildlife populations. My research combines ecological theory and quantitative tools with laboratory and field data to address conservation and management questions in wildlife health. My work has largely focused on understanding the dynamics and population-level effects of infectious disease on amphibians, but I am interested in how differences among individuals, species, and communities of hosts drive the invasion, persistence, and negative impacts of pathogens in wildlife more generally. Pedagogically, I am interested in the best practices of reproducible, computational science and demystifying the utility of mathematical modeling for students of ecology and natural resource sciences.
Disease ecology, Mathematical modeling, Statistical modeling
- Amphibian species across the globe are experiencing drastic disease-induced declines and extinctions. What factors make amphibians susceptible to disease-induced declines and extinctions and what can we do to mitigate these declines?
- Many wildlife pathogens of management concern infect multiple host species and identifying reservoir host species can lead to targeted disease management. What characteristics lead to reservoir species and are the identities of reservoir species consistent in space and time?
- How can we leverage commonly-collected disease and wildlife surveillance data (e.g. serology assays, cross-sectional parasite counts, GPS movement data) to improve predictions of transmission and spillover risk in wildlife and livestock?
2431 Joe Johnson Drive
Knoxville, TN 37996
- Doctorate, Ecology, Univ of Calif Santa Barbara, 2018
- Agriculture and Natural Resources
Mark Quentin Wilber
2431 Joe Johnson Drive
Knoxville, TN 37996
- Doctorate, Ecology, Univ of Calif Santa Barbara, 2018
- Agriculture and Natural Resources
I am generally interested in how infectious disease shapes the dynamics of wildlife populations. My research combines ecological theory and quantitative tools with laboratory and field data to address conservation and management questions in wildlife health. My work has largely focused on understanding the dynamics and population-level effects of infectious disease on amphibians, but I am interested in how differences among individuals, species, and communities of hosts drive the invasion, persistence, and negative impacts of pathogens in wildlife more generally. Pedagogically, I am interested in the best practices of reproducible, computational science and demystifying the utility of mathematical modeling for students of ecology and natural resource sciences.
Disease ecology, Mathematical modeling, Statistical modeling
- Amphibian species across the globe are experiencing drastic disease-induced declines and extinctions. What factors make amphibians susceptible to disease-induced declines and extinctions and what can we do to mitigate these declines?
- Many wildlife pathogens of management concern infect multiple host species and identifying reservoir host species can lead to targeted disease management. What characteristics lead to reservoir species and are the identities of reservoir species consistent in space and time?
- How can we leverage commonly-collected disease and wildlife surveillance data (e.g. serology assays, cross-sectional parasite counts, GPS movement data) to improve predictions of transmission and spillover risk in wildlife and livestock?