James H. Thorne, Joshua O'Brien, Matthew L. Forister, and Arthur M. Shapiro. 2006. Building phenological models from presence/absence data for a butterfly fauna. Ecological Applications 16:1842–1853.


Supplement

Daily observation probabilities for 78 butterfly species at Gates Canyon.
Ecological Archives
A016-061-S1
.

Copyright


Authors
File list (downloads)
Description


Author(s)

James H. Thorne
Department of Environmental Science and Policy
University of California
Davis, California 95616 USA
Tel: (530)-752-4389
E-mail: jhthorne@ucdavis.edu

Joshua O'Brien
Department of Environmental Science and Policy
University of California
Davis, California 95616 USA
Tel: (530)-752-6003
E-mail: jobrien@ucdavis.edu

Matthew L. Forister
Department of Ecology and Evolution
State University of New York at Stony Brook
650 Life Sciences Building
Stony Brook, New York 11794-5245 USA
Lab phone: (631) 632-8609
E-mail: forister@life.bio.sunysb.edu

Arthur M. Shapiro
Center for Population Biology
University of California
Davis, California 95616 USA
Tel: (530) 752-2176
E-mail: amshapiro@ucdavis.edu


File list

supplement.txt

Description

This data file, which can be used as an Excel spreadsheet, contains the daily probabilities of observation for the 78 species of butterfly modeled using logistic regression at Gates Canyon. The file also contains several summary rows of information: the maximum predicted observation probability; the date of maximum observation probability; the length of the flight window (defined as the days on which observation probability was at least 20% of the maximum, for each species); the first date of the flight window; and the last date of the flight window. Species names followed by an asterisk are those which were excluded from analyses (see text) due to poor model performance. Prior to the daily probabilities are also presented results from the logistic regression model for each species: the intercept; parameters associated with Date and Date Squared; and Log Likelihood, a measure of the goodness-of-fit of each species model. The first column identifies values found in each row, subsequent columns each represent a species.


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