Quantitative habitat models of wildlife-habitat relationships are developed to
formalize our current understanding about an ecological system. A habitat
association model is one of these models that is useful for answering questions
about how the habitat is occupied, how much growth habitat is required by the
animal, or how the animal selects its food and habitat.
Radio telemetry is adopted as a technique for studying home range and habitat
use. The major objective of a radio telemetry study is to collect behavioral or
demographic data in order to be able to estimate population parameters for home
range and habitat selection.
A radio telemetry study is a kind of multinomial experiment. The Logistic
Regression Model is often used for estimating the relationship between animal
activities and the habitat characteristics of the location used (animal preference).
However, this model is not a good model for the telemetry data. Under this model,
the slope parameter estimate becomes lower and farther from the true value as the
Average Habitat Quality (AHQ) increases, with Diversity fixed. The Multinomial
Model is better suited to telemetry data.
Using the Logistic Regression Model, a habitat association study can be
conducted in conjunction with adaptive cluster sampling. In terms of the variance
of the regression parameter estimate, adaptive cluster sampling is better than
simple random sampling. Adaptive sampling plans are also satisfied for habitat
association analysis with imperfect detectability. / Graduation date: 1995
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/35223 |
| Date | 13 May 1994 |
| Creators | Sjamsoe'oed, Roza |
| Contributors | Ramsey, Fred L. |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
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