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As a member of the faculty of the Department of Natural Resources here
at Cornell University, I'm currently
responsible for teaching 3 classes - two of them every year (NTRES 3100 -
Applied Population Ecology, and NTRES 4100 - Conservation Biology:
Concepts & Techniques), and
one every
other year (NTRES 4120/6120 - Demographic Analysis of Wildlife Populations).
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 and field-based exercises will be used to reinforce concepts
presented in lecture.
Fall (every year). 4 credits. Prerequisite: NTRES 2100, completion of departmental
math requirements, and NR3100 (or equivalent). Lec, Tu/Th 11:15-12:05; lab/sec, Fr
1:25-4:25 PM. A thorough analysis of the ecological and quantitative
dimensions for decision making in modern conservation biology and
management. Emphasis is on analysis of variation and maintenance of
biological diversity, and will focus on principles and techniques, including
demographic viability analysis of populations, genetic analysis, as well as
aspects of the human dimensions of conservation biology.
Spring (odd years). 3 credits. Prerequisites: NTRES 3100 (or equivalent, or by
permission of instructor), a college-level math or statistics class.
Lec, Tu/Th 12:20-1:10; Lab, Th 1:25-4:25.
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.
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