— Sampling Animal Populations
Introduction to major statistical modeling approaches for estimating animal population parameters, including: sample counts, distance sampling, repeated point counts (N-mixture modeling), capture-mark-recapture for closed and open populations, static and dynamic occupancy modeling, and richness estimation. Methods are embedded in the context of obtaining reliable estimates of abundance, survival, occurrence and other ecological parameters for management and conservation.
Prerequisites & course information
Course Description: Introduction to major statistical modeling approaches for estimating animal population parameters, including: sample counts, distance sampling, repeated point counts (N-mixture modeling), capture-mark-recapture for closed and open populations, static and dynamic occupancy modeling, and richness estimation. Methods are embedded in the context of obtaining reliable estimates of abundance, survival, occurrence and other ecological parameters for management and conservation. Learning Activities: Lecture 3 hour(s), Laboratory 3 hour(s). Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Laboratory 3 hour(s). Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027