Great Basin, Photo by Grace Dodds
Quantitative Ecology · Statistics and Data Science · Ornithology

Answering applied conservation questions using statistics and data science tools.

I'm Martha Zillig, and I'm currently a Visiting Assistant Professor of Statistics and Data Science at St. Olaf in Northfield, MN. My research focuses on taking ecological data and applying quantitative methods to explore conservation questions. I think a lot about how we measure wildlife populations and how new and emerging technology can assist with conservation outcomes.

Martha Zillig
About

About the Lab

I'm a quantitative ecologist that uses datasets from wild populations to answer applied conservation questions. Through the use and development of statistical models, I connect individual behavior and movement to demography and landscape-scale patterns. My work sits at the intersection of biology and statistics, and I spend as much time coding in R as I do collecting data in the field.

Before teaching at St. Olaf, I recieved my PhD at the University of California, Davis where I studied the elevational movements of song birds in the Great Basin. At St. Olaf, my research focuses on using data collected from emerging technology such as camera traps and autonomous recording units (ARUs) to answer questions about animal abundance and ecology.

Publications

Recent Publications

All Publications →

Zillig, M., Brooks, W., & Fleishman, E.

Shifts in elevational distributions of montane birds in an arid ecosystem

Ecography, 2024

Zillig, M., Fogarty, F. A., & Fleishman, E.

Bird associations with floristics and physiognomy differ across five biogeographic subregions of the Great Basin, USA

Ornithological Applications, 2022