Date of Award

5-2005

Degree Type

Report

Degree Name

Master of Science (MS)

Department

Mathematics and Statistics

First Advisor

D. Richard Cutler

Abstract

A common problem in ecological studies is that of determining where to look for rare species. This paper shows how statistical models, such as classification trees, may be used to assist in the design of probability-based surveys for rare species using information on more abundant species that are associated with the rare species. This model assisted approach to survey design involves first building models for the more abundant species. The models are then used to determine stratifications for the rare species that are associated with the more abundant species. The goal of this approach is to increase the number of detections of the rare species. This project extends the work of Edwards et al. (2005) by including site level characteristics such as age of dominant conifer and size class of the largest trees at the site, and by modeling additional species.

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