M. Zachariah Peery, Steven R. Beissinger, Roger F. House, Martine Bérubé, Laurie A. Hall, Anna Sellas, and Per J. Palsbøll. 2008. Characterizing source–sink dynamics with genetic parentage assignments. Ecology 89:2746–2759.


Supplement

C++ source code, executable file, and a short description for program PARSIM v1.0.
Ecological Archives
E089-155-S1
.

Copyright


Authors
File list (downloads)
Description


Author(s)

M. Zachariah Peery
Department of Environmental Science, Policy & Management
University of California, Berkeley
137 Mulford Hall, Berkeley, California 94720-3114, USA
e-mail: zpeery@nature.berkeley.edu

Steven R. Beissinger
Department of Environmental Science, Policy & Management
University of California, Berkeley
137 Mulford Hall, Berkeley, California 94720-3114, USA
e-mail: beis@nature.berkeley.edu

Roger F. House
12655 Fiori Lane
Sebastopol, California 95472, USA
e-mail: rhouse@sonic.net

Martine Bérubé
Department of Genetics, Microbiology and Toxicology
Stockholm University
SE-106 91, Stockholm, Sweden
e-mail: martine.berube@gmt.su.se

Laurie A. Hall
Moss Landing Marine Laboratories
8272 Moss Landing Road
Moss Landing, CA 95039, USA
e-mail: laurie_anne226@yahoo.com

Anna Sellas
Museum of Vertebrate Zoology
3101 Valley Life Sciences Building
University of California, Berkeley CA 94720-3160, USA
e-mail: asellas@nature.berkeley.edu

Per J. Palsbøll
Department of Genetics, Microbiology and Toxicology
Stockholm University
SE-106 91, Stockholm, Sweden
e-mail: per.palsbøll@gmt.su.se


File list

parsim.exe- Windows executable
parsim.cpp- Main simulation logic
critter.cpp and
critter.h- Class describing a single bird
distrib.cpp and distrib.h- Class for probability distributions
random.cpp and random.h- Random number generators
c.bat- Windows BAT file for compiling with MS C++
c- Bash script for compiling with g++ on Linux
exampleinputfile.txt- Example parameter file
parsim.out- Output from exampleinputfile.txt
readme- Instructions for running and compiling

Description

Program PARSIM v1.0, written by RFH, is a stochastic, individual-based population model that estimates the expected number of parent-offspring and sibling dyads contained in a population or a random sample taken from a population under demographic conditions specified by the user. A detailed description of the population model implemented in PARSIM and the parameters required in the input file are available in Appendix A. Instructions for running the compiling and executing the program are provided in the readme file.


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