Mullinax Lab

Applied Spatial Wildlife Ecology



This course integrates animal behavior, population dynamics, and the social and political aspects of wildlife ecology within the context of wildlife management.  This course focuses on quantitative modeling of population dynamics and responses of populations to disturbances and management actions.

The course is designed for advanced students who have completed the prerequisite courses, including Introduction to Wildlife and Fisheries Management.  Course coverage is structured to build on the foundations of the entire ENSP: Wildlife Ecology and Management curriculum and deepen the specific understanding of wildlife science while investigating case histories that illustrate the application of management principles to real-world scenarios.  This is accomplished through a combination of lectures, discussions and homework/writing assignments.  


Course Objectives:

 1) Ability to “speak the language” of natural resource management generally and wildlife ecology and management specifically.

2) Ability to apply ecological and behavioral concepts and principles to the management of wildlife populations to achieve a diversity of objectives, including sustained harvest, control, and conservation.

3) Students will develop a general understanding of the assumptions, effectiveness, and limitations of strategies used to manage wild populations. Students will develop analytical problem-solving skills and will gain experience in data needs and mathematical models (Students will use specific programs, including Program R, Presence, Riskman, Vortex, etc.). Students will develop a general appreciation for the challenges and opportunities inherent in wildlife conservation.