Kate Schoenecker, PhD
Kate Schoenecker is a Supervisory Research Wildlife Biologist and Branch Chief for the Wildlife Ecology Branch at the Fort Collins Science Center.
Dr. Kate Schoenecker has been studying the ecology of ungulates for 26 years as a Research Wildlife Biologist at the U.S. Geological Survey (USGS) Fort Collins Science Center, Colorado. She received a Master’s degree from the University of Arizona, Tucson studying desert bighorn sheep and a PhD from Colorado State University on bison and elk grazing ecology in the Great Sand Dunes National Park & Baca National Wildlife Refuge ecosystem. She currently leads the Ungulate Ecology Research team, focusing on science to support bison conservation and wild horse and burro research across the west. She’s been studying the ecology of wild horses and burros since 1999, when she was first hired as a USGS field technician recording group composition of horse harems in the Pryor Mountain Wild Horse Range, Montana. Her current work includes investigating free-roaming horse competition with mule deer, and assessing mountain lion predation on free roaming horses in Nevada, as well as assessing fine scale foraging behavior of bison on the North rim of Grand Canyon National Park, Arizona, and the Great Sand Dunes National Park ecosystem of southern Colorado.
Professional Experience
Research Wildlife Biologist, USGS, Fort Collins Science Center
Education and Certifications
PhD, Colorado State University
MS, University of Arizona
Science and Products
Browsers or Grazers? New insights into feral burro diet using a non-invasive sampling and plant DNA metabarcoding approach
The Associate Editor in the peer review process—what's that?
Seasonal resource selection and movement ecology of free-ranging horses in the western United States
Multi-objective modeling as a decision-support tool for free-roaming horse management
Application of tail transmitters for tracking feral horses as an alternative to radio collars
Accounting for residual heterogeneity in double-observer sightability models decreases bias in burro abundance estimates
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Non-invasive Genetic Sampling of Free-roaming Horses to Estimate Population Size, Genetic Diversity, and Consumption of Invasive Species
Counting America’s Wild Horses and Burros: Better Estimates for Population Management
Wild Horse and Burro Survey Techniques
Elk and Bison Grazing Ecology in the San Luis Valley, Colorado
Wild Horse and Burro Population Management
America's Wild Horses and Burros—Research to Support Management
Winter herbaceous utilization by elk and bison in the Great Sand Dunes National Park ecosystem of the San Luis Valley, Colorado, 2006 to 2008
Body condition scores and foaling outcomes in 2021 for 18 mares at Sulphur herd management area, Utah treated with gonadotropin releasing hormone
Detections of bison from helicopter and aerial thermal infrared imagery in Grand Canyon National Park, 2019-2021
Feral horse tail tag deployment and retention data at Conger and Frisco Herd Management Areas, Utah, 2016-2020
Fecal samples collected in May, August, and October 2014 from Little Book Cliffs Herd Management Area, Colorado, for determination of diet, persistence of DNA in the environment, individual identity, and seed germination.
Vegetation measurements of production and offtake in cottonwood communities of the Great Sand Dunes ecosystem, Colorado, 2005-2009.
Science and Products
Browsers or Grazers? New insights into feral burro diet using a non-invasive sampling and plant DNA metabarcoding approach
The Associate Editor in the peer review process—what's that?
Seasonal resource selection and movement ecology of free-ranging horses in the western United States
Multi-objective modeling as a decision-support tool for free-roaming horse management
Application of tail transmitters for tracking feral horses as an alternative to radio collars
Accounting for residual heterogeneity in double-observer sightability models decreases bias in burro abundance estimates
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.