Dissertation/Thesis Abstract

Statistical modeling with counts of bats
by Ingersoll, Thomas Eugene, Ph.D., University of California, Berkeley, 2010, 115; 3448989
Abstract (Summary)

Count data are often the most available indices for bat abundance. Counts of bats are useful for estimating differences in population size, between different habitats, or at different times. But such estimates are not without complications. We used pre-existing bat count data sets, and simulated bat count data to survey a variety of methods for interpreting bat counts. These methods included, evaluation of habitat preferences through AIC model selection of generalized linear models, evaluation of differences in abundance using hierarchical models, and evaluation of spatially replicated time series dynamics using additive mixed-models. All methods proved useful under the special circumstances that accommodated model assumptions. Generalized linear models required the most restrictive assumptions, while hierarchical and additive models allowed many assumptions to be relaxed. We identified several areas where current modeling practices might be improved.

Indexing (document details)
Advisor: Valpine, Perry de
Commitee: Beissinger, Steven R., Power, Mary E.
School: University of California, Berkeley
Department: Environmental Science, Policy, & Management
School Location: United States -- California
Source: DAI-B 72/06, Dissertation Abstracts International
Subjects: Biostatistics, Ecology
Keywords: Acoustic survey, Bat counts, Corynorhinus townsendii, Generalized linear models, Habitat preference, Hierarchical models
Publication Number: 3448989
ISBN: 978-1-124-55366-5
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