Course Description

Statistical methods for modeling spatial and temporal variation in density, survival, recruitment, and (to a lesser extent) movement. Students will learn how to estimate parameters, test hypotheses, and make predictions using capture-recapture data from wildlife sampling methods such as live trapping, camera trapping, and mist-netting.

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Athena Title

Spatial Capture-Recapture

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Prerequisite

Permission of school

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Semester Course Offered

Not offered on a regular basis.

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Grading System

A - F (Traditional)

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Course Objectives

By the end of the course, students will be able to fit models to data to describe and predict spatio-temporal population dynamics.

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Topical Outline

The course will loosely follow the book: Royle, J.A, R.B. Chandler, R. Sollmann, B. Gardner. 2014. Spatial Capture-Recapture. Academic Press. Topics will include: (1) Overview of non-spatial capture-recapture models (2) Overview of classical and Bayesian methods of inference (3) Overview of GLMMs and spatial point process models (4) Spatial capture-recapture models for closed populations (5) Spatial capture-recapture models for open populations

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