I currently teach 4 classes on a regular rotation (and 2-3 others on an occasional basis) - two of them every year (NTRES 3100 - 'Applied Population Ecology', and NTRES 4100 - 'Advanced Conservation Biology'), and two every other year (NTRES 4120/6120 - 'Demographic Analysis of Wildlife Populations', and NTRES4940/6940 - 'Structured Decision Making + Natural Resource Management').
Fall (every year). 3 credits. Letter grade only. Prerequisite: Completion of Departmental math requirements - background in biology or ecology is strongly recommended. Tu/Th 1:25-2:40 PM. An in-depth analysis of the ecological factors influencing the natural fluctuation and regulation of animal population numbers. The course examines in detail models of single species and multi-species population dynamics, with emphasis on understanding the relationship between ecological processes operating at the individual level and subsequent dynamics at the population level. Computer exercises will be used to reinforce concepts presented in lecture.
Fall (every year). 4 credits. Co-taught with Matt Hare. Prerequisite: Completion of departmental math requirements, and either completion of, or co-registration in NR3100 (or equivalent). Lec, Tu/Th 10:10-11:25; lab/sec, Wed 10:10-12:05 PM. A thorough analysis of the ecological and quantitative dimensions for decision making in modern conservation biology and management. Emphasis is on formal analysis of variation and maintenance of biological diversity, and will focus on principles and quantitative techniques, including demographic viability analysis of populations, genetic analysis, and adaptive management.
Spring (even years). 4 credits. Prerequisites: NTRES 3100 (or equivalent, or by permission of instructor), a college-level math or statistics class. Lec, Tu/Th 14:55-16:10; Lab, Fr 10:10-1:10. This course will explore the theory and application of a variety of statistical estimation and modeling techniques used in the estimation of key parameters of wildlife populations (e.g., survival, recruitment, movement, abundance). The course will focus on exploration of a selection of the tools needed for modern wildlife conservation and management, including (particularly) analysis of mark-recapture data, distance sampling, occupancy modeling.
Spring (odd years). 2-3 credits. Co-taught with Angela Fuller . Lec, Tue/Thu 11:40 AM -12:55 PM. This course will provide an introduction to the principles and practice of structured decision making and its application in natural resource management. Students will become familiar with methods for finding optimal solutions to decision problems, and will apply these methods to natural resource problems. Students will become familiar with the application of quantitative decision modeling tools: single and multiple-objective trade-off techniques, decision trees, Bayesian belief and decision networks, linear programming, and dynamic optimization.