| Course ID: | WILD(FISH) 8390. 3 hours. |
| Course Title: | Inference for Models of Fish and Wildlife Population Dynamics |
Course
Description: | Recently developed statistical tools make it possible to fit models of population dynamics to field data while accounting for observation error. This course will examine how to use these tools for statistical inference and prediction about animal population parameters including abundance, occupancy, survival, recruitment, and dispersal. |
| Oasis Title: | Inference Pop Dynamics |
| Prerequisite: | Permission of school |
Semester Course
Offered: | Offered fall semester every year. |
| Grading System: | A-F (Traditional) |
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| Course Objectives: | Students will learn how to: (1) design studies of animal population dynamics; (2) fit statistical models to data collected in the field; (3) interpret results; and (4) make predictions useful for informing conservation decisions. |
| Topical Outline: | Part I - Introductory principles
Statistical inference and population dynamics
Part II - Static models of abundance and distribution
Occupancy models
N-mixture models
Distance sampling
Mark-recapture
Spatial capture-recapture
Part III - Dynamic models
Dynamic occupancy models
Dynamic N-mixture models
Survival models
Cormack-Jolly-Seber models
Jolly-Seber models
Dynamic spatial capture-recapture models
Part IV - Project presentations |