Time Schedule:
Robert A Gitzen
Q SCI 477
Seattle Campus
Focuses on wildlife sampling techniques for estimating animal abundance, home range, and survival rates in terrestrial populations. The design of wildlife investigations for the purposes of impact assessment, research, and resource management is integrated with estimation schemes and demographic models in a quantitative framework. Prerequisite: Q SCI 292; Q SCI 482.
Class description
This course builds on previous Q SCI classes to expose students to additional quantitative topics and techniques that should be familiar to all aspiring wildlife professionals or to graduate students working with wildlife. The course is appropriate for advanced undergraduates and beginning graduate students in wildlife science and related fields. The course will introduce students to basic sampling and experimental designs for studying wildlife populations and briefly introduce additional uses of linear models for analyzing realistic wildlife data. Much of the course will focus on study design and analysis for estimation of abundance and demographic parameters, particularly for studies with tagged animals. Half of the course time is devoted to computer labs focusing on key software for learning about and conducting these analyses.
Student learning goals
General method of instruction
Recommended preparation
Q Sci 292 and Q Sci 482 or equivalents are prerequisites. Q Sci 483 is recommended background. We assume that you know (or will rapidly remember or learn) how to calculate summary statistics and perform ANOVA. Basic computer proficiency is also necessary, or willingness to gain rapidly basic computer skills.
Class assignments and grading
