Viorel D. Popescu, Perry de Valpine, Douglas Tempel, and M. Zachariah Peery. 2012. Estimating population impacts via dynamic occupancy analysis of Before–After Control–Impact studies. Ecological Applications 22:1389–1404.


Supplement

R code for simulating treatment effects on local survival and models fitted with the R package unmarked.
Ecological Archives A022-072-S1.

Copyright


Authors
File list (downloads)
Description


Author(s)

Viorel D. Popescu
Department of Environmental Science, Policy and Management
University of California Berkeley
130 Mulford Hall #3114
Berkeley, CA 94720-3114
USA
E-mail: dvpopescu@berkeley.edu

Perry de Valpine
Department of Environmental Science, Policy and Management
University of California Berkeley
130 Mulford Hall #3114
Berkeley, CA 94720-3114
USA
E-mail: pdevalpine@berkeley.edu

Douglas Tempel
Department of Fisheries, Wildlife and Conservation Biology
University of Minnesota
200 Hodson Hall
1980 Folwell Avenue
St. Paul, MN 55108
USA
E-mail: temp0059@umn.edu

M. Zachariah Peery
Department of Forest and Wildlife Ecology
University of Wisconsin - Madison
A233 Russell Labs
1630 Linden Drive
Madison, WI 53706
USA
E-mail: mpeery@wisc.edu


File list

BACIocc.r (md5: 77df2f2d3edc106acaaaa8d8e55c4ee9)
dynamicOcc.r (md5: f3da3d532685597b12a8469ae9bb1ade)

Description

BACIocc.r and dynamicOcc.r contain R code used to simulate treatment effects on local survival, and models fitted with the R package unmarked 0.9-2 (Fiske and Chandler 2011). BACIocc.r contains code for simulating occupancy data (detection/non-detection) using a Before-After Control-Impact framework, and dynamicOcc.r contains code for dynamic occupancy model fitting. dynamicOcc.r cannot be run independently, but only in conjunction with BACIocc.r, where all variables are declared initialized. Variable definitions and other detailed explanations are embedded in the R code.

Literature Cited

Fiske, I., and R. Chandler. 2011. unmarked: an R package for fitting hierarchical models of wildlife occurrence and abundance, Journal of Statistical Software 43:1–23