Non-Invasive Monitoring Project
The Non-Invasive Monitoring Project (NIMP) was initiated in 2011 to assess and compare several non-invasive techniques for estimating cougar populations in Jackson Hole, such as camera traps, scat-detection dogs and snow-tracking. Our findings demonstrated several benefits and drawbacks to these methods, including the finding that individual cougars are extremely difficult to distinguish in photographs taken by camera traps, raising important implications for camera trap-based population estimates. Since this initial study, the project has focused on improving camera trapping methods, including developing novel field technologies, analytical tools, and advanced machine learning techniques for image analysis. We have also expanded the project to other species in the Greater Yellowstone, such as red foxes and black bears. We are currently working on developing a software package to aid in the analysis of camera trap data, and studying the potential effects of camera trap flash-type on animal behavior.
Publications:
SNAPSHOT USA 2020: a coordinated national camera trap survey of the United States (in review). (2022). Cove MV. et al.
Disturbance type and species life history predict mammal responses to humans. (2021). Suraci, J. P., Gaynor, K. M., Allen, M. L., Alexander, P., Brashares, J. S., Cendejas‐Zarelli, S., ... & Wilmers, C. C. Global Change Biology.
A Novel Camera Trapping Method for Individually Identifying Pumas by Facial Features(in review). (2021). Alexander, P. Craighead D.
Identifying individual cougars (Puma concolor) in remote camera images–implications for population estimates. (2018). PD Alexander, EM Gese. Wildlife Research, 45, p. 274.
Comparing conventional and noninvasive monitoring techniques for assessing cougar population size in the southern Greater Yellowstone Ecosystem. (2016). Peter D. Alexander. Master of Science (Wildlife Biology) at Utah State University.